# Intelligence Marketplace Carefully Selected ∙ Rigorously Tested ∙ Enterprise-Ready Proven, original algorithms – easy to read, use and share ### Overview Zeblok’s Intelligence Marketplace provides easy access to a growing library of proven, original third-party AI algorithms. Quality is ensured by our curation process, including closed loop validation, providing algorithm creators with a means of commercialization not previously available. We ensure that algorithms are easy to read, easy to use and easy to share. These include: {% file src="/files/-MedfSC1IZsWkFTMW-eX" %} Intelligence Marketplace {% endfile %} ### **Ai-Rover™ – Explainable AI Notebook** #### **Multi-variate, high dimensional data comprehension** AI systems tend to operate in the darkness of black boxes. Input data is transformed into decisions without much human-readable justification. The journey from data to insights requires a crucial data comprehension stage, so the direction of an AI/ML model is fully explainable. Omitting this stage may produce a result that is not actionable, causing the AI project to dead-end. Ai-Rover™ is the full implementation of an explainable AI algorithm on a virtualized notebook, in concert with Zeblok's GPU-powered data lake, Edge connectivity and other components. Ai-Rover™ discovers and visually explains patterns in complex datasets as well as the causal relationships underlying those patterns, supporting data analysts in the construction of trust-able decision-making AI models. Domain agnostic Ai-Rover™ is particularly useful for large, multi-variate, high dimensional data analysis. Ai-Rover™ enables the crucial data comprehension phase to properly target the direction of an AI project. Say goodbye to tedious data exploration and instead gain quick access to the hidden information in your data with a simple visual interface that enables users to intuitively derive subpopulations of data attributes, leading to better predictive insights. [Learn More...](https://854a0df5-7a21-4391-b1e4-c279d3cc5b86.filesusr.com/ugd/dc718d_dc7309f63872419395abe25463fce115.pdf) [Use Cases](https://www.computational.zeblok.com/biotech-and-pharma) ### Ai-Rover™ Notebook For Time Series Data #### Time series data forecasting & anomaly detection Ai-Rover™ Notebook For Time Series Data is a value framework to automate predictive model building that creates human-readable models from historical time series data. These models provide users with high-quality explainable forecasts and anomaly detections, creating business value in use cases across industries, containerized for easy incorporation into your AI/ML model. The framework is built on a field of mathematics called information geometry, an interdisciplinary field that uses differential geometry techniques to study probability theory and statistics. It enables model building which includes business focus, aggregates, and key performance indicators (KPIs). It can help you identify the value of the predictive analytics business use cases that you want to implement. Typical use cases and business applications: * Demand/capacity prediction * Predictive asset management * Fraud/anomaly detection * Marketing/social analysis * Pricing optimization [Learn more](https://www.computational.zeblok.com/airoverfortimeseries). ### Ai Video-Analytics-as-a-Service #### Near real-time Ai Video-Analytics A robust framework that enables development and implementation of AI-powered video analytics solutions. It accommodates video feeds in a variety of formats & resolutions, ranging from a few cameras to thousands of cameras; best in class annotation tools to generate unlimited number of datasets with precise guidelines and complex ontologies to significantly reduce labeling time and an inference engine to integrate your production output into your enterprise application from Core to Edge using RESTful API. Offer Video-Surveillance-as-a-Service by developing bespoke AI models to a variety of clients responsible for monitoring facilities, such as schools, highways and public spaces to identify vandalism and other suspicious behavior, monitor and analyze traffic patterns, identify traffic violations to providing Quality audits for manufacturing processes in automobile industries. Enterprise applications include: * Intrusion Detection * Suspicious Activity * Traffic & Parking Management * Smoke & Fire Detection * Crowd Counting * Vehicle Identification * Non-Invasive Body Temperature Monitoring * Dwell Time * Safety gear monitoring – Hardhats, safety goggles, masks [Learn more](https://www.computational.zeblok.com/videoanalytics). [Solution Brief](https://854a0df5-7a21-4391-b1e4-c279d3cc5b86.filesusr.com/ugd/dc718d_cc067581312d4bfb9afb2c666e4ce12c.pdf). ### Quantum Entropy-as-a-Service #### Quantum entropy for a connected world Zeblok provides quantum-safe security via container, with both high throughout and high entropy density, using QNu's Qosmos™ quantum random number generator , which uses device-generated random numbers, wherein the randomness is guaranteed by the laws of quantum mechanics. Zeblok's Quantum Entropy-as-a-Service (QEaaS) provides truly random numbers, delivered via container on Ai-MicroCloud™ to the network security layer, operating systems, embedded systems or at the network edge, providing a seamless upgrade from computational security posture to information provable security. The high throughput, low cost of upgradation and ease of integration makes this a very cost-effective and simple-to-deploy solution over companies' existing infrastructure. The architecture is scalable, provides load balancing, and has active failover. [Learn more](https://www.computational.zeblok.com/quantumsecurity). [Solution Brief](https://854a0df5-7a21-4391-b1e4-c279d3cc5b86.filesusr.com/ugd/dc718d_522ca639890e431e8fe444f426c71253.pdf). # Manage Account Account Security Mechanisms This article will guide you through our [Resetting Password Guide](https://computationaldocs.zeblok.com/zeblok-computational-1/more/manage-account/forgotpassword) and [2 Factor Authentication Guide](https://computationaldocs.zeblok.com/zeblok-computational-1/more/manage-account/2-factor-auth). {% hint style="info" %} **Note:** Enabling 2 Factor Authentication is an optional security measure you can avail, however we recommend you to enable this for better security of your account. {% endhint %} # Forgot Password Guide for resetting password If you are not able to login to your account, because you forgot your password, don't worry as this guide will take you through the process of resetting your password step by step.  1. Click on the Forgot Password link above the Sign In Button, and you will be redirected to our [Forgot Password Page](https://app.zbl-aws.zeblok.com/forgotpassword).  You will then receive an **Email** on your **Email-id** you entered in the forgot password link as shown in above image. {% hint style="info" %} **Note:** To receive a password reset link in your registered email id, you must have your account registered first with our Zeblok Computational Platform first. {% endhint %}  2\. Click on the Link option sent in your email and you will be redirected to a page and to enter New Password and after that click on the **Reset Password** button.  After that you will see this notification **Password updated successfully please login to continue.** Then You can Login with the New Password**.** # 2 Factor Authentication 2 Factor Authentication Guide ### Toggle 2 Factor Authentication Enter the login credentials in the [Sign In](https://app.zbl-aws.zeblok.com/), page then you will be redirected to dashboard page.  At the rightmost top-corner***,*** click on three dots and you will see a dropdown menu then at the bottom click on ***2-fa and your 2 factor Authentication will be enabled.***  {% hint style="info" %} **Note:** Enabling 2 Factor Authentication will have an effect on the sign in process starting the next time anyone tries to sign in to your account. {% endhint %} ### Sign In using 2 Factor Authentication #### Step 1: Enter your credentials and click on sign in button.  #### Step 2: As you can see, an OTP will be sent to your registered E Mail Id which you will have to enter to successfully login to your account.   {% hint style="info" %} **Note:** As mentioned above in the images, the validity of OTP is only 5 minutes. You will have only 4 attempts to enter a valid OTP, after which your account will be banned for signing in and you will have to contact the Zeblok Administrator for unblocking your account. {% endhint %} # IAM IDENTITY ACCESS MANAGEMENT ### Overview IAM is a user entity which we create in **Zeblok Computational Platform** to represent a person that uses it with limited access to resources.  As you can see, we have 4 sections for defining user permissions and recourse management in the IAM page. * [Roles](https://computationaldocs.zeblok.com/zeblok-computational-1/more/iam/roles) * [Usergroups](https://computationaldocs.zeblok.com/zeblok-computational-1/more/iam/usergroup) * [Menu](https://computationaldocs.zeblok.com/zeblok-computational-1/more/iam/menu) * [Resources](https://computationaldocs.zeblok.com/zeblok-computational-1/more/iam/resources) {% hint style="info" %} **Note:** Only the user who has an admin access, gets access to IAM Tab in the Sidebar. {% endhint %} # Roles IAM: Roles ### Overview Every user has their own role in Zeblok Computational Platform which is assigned while the user signs up in the platform. Here are few pre-defined roles available in the platform: **Superadmin**: The Superadmin has all the rights. An Admin can do anything and everything on the platform such as creating more Organisation Admins, inviting more users and also removing them, changing the permissions for a certain role in the platform. **User**: A user role is assigned when a user signs up using individual sign up page. {% hint style="info" %} **Note:** To know more about the sign up process for the user role and access, follow our [Create An Account Guide for Individual User](https://computationaldocs.zeblok.com/zeblok-computational-1/create-an-account/individual-user). {% endhint %} **Organisation Admin**: An organisation admin role is assigned when a user signs up using Enterprise organisation sign up page. The organisation admin has the rights to view all the activities of all the members in the organisation who have signed up using the invite sent by organisation admin. **Organisation User**: An organisation user role is assigned when a user signs up using the invite mail sent to him/ her by the organisation admin who has already signed up in the platform. {% hint style="info" %} **Note:** To know more about the sign up process for the organisation admin/ user role and access, follow our [Create An Account Guide for Enterprise User](https://computationaldocs.zeblok.com/zeblok-computational-1/create-an-account/enterprise-user). {% endhint %} **Business Partner**: A business partner role is assigned when a user signs up using business partner sign up page. {% hint style="info" %} **Note:** To know more about the sign up process for the business partner role and access, follow our [Create An Account Guide for Business User](https://computationaldocs.zeblok.com/zeblok-computational-1/create-an-account/business-user). {% endhint %} # Usergroup IAM: USERGROUP ### Overview A usergroup is a set of users who have the same permissions as the policies/ permissions are assigned to a usergroup in which the users get assigned. When the [resources](https://computationaldocs.zeblok.com/zeblok-computational-1/more/iam/resources) are created, they are given access to certain usergroups in the platform and all the members of these usergroups get access to the resources collectively. # Menu IAM: MENU ### Overview The menu tab gives options for the superadmin to decide which kind of resources and menu will be available to a certain role in the platform. It lies on the Admin whether a certain tab will appear in the side bar menu for a certain role/ user or not. # Resources IAM: RESOURCES ### Overview Every accessible entity in the platform (Example: Plans, Notebooks, etc.) is recognised as a resource. # Admin Guide Admin Manual for mastering Zeblok Ai-MicroCloud # Menu The first view of the SideNav Menu after logging in via the Admin account gives the feeling of a wide range of options and authority over the Ai-MiroCloud. This guide is made for you to understand all the features and control that an Admin has, and also how to own the Ai-MircoCloud.  [Dashboard](https://computationaldocs.zeblok.com/zeblok-computational-1/more/admin-guide/dashboard) [Workstations](https://computationaldocs.zeblok.com/zeblok-computational-1/more/admin-guide/workstations) [IAM](https://computationaldocs.zeblok.com/zeblok-computational-1/more/admin-guide/iam-identity-access-management) [Organizations](https://computationaldocs.zeblok.com/zeblok-computational-1/more/admin-guide/organizations) [Plans](https://computationaldocs.zeblok.com/zeblok-computational-1/more/admin-guide/plans) [Namespace](https://computationaldocs.zeblok.com/zeblok-computational-1/more/admin-guide/namespaces) [Data Center](https://computationaldocs.zeblok.com/zeblok-computational-1/more/admin-guide/datacenters) [MicroServices](https://computationaldocs.zeblok.com/zeblok-computational-1/more/admin-guide/microservices) [Ai-API Engine](https://computationaldocs.zeblok.com/zeblok-computational-1/ai-api/introduction) You can click on any of the names above to know more in details about the specific section. Also, you can refer to IAM page under Mode Section of this documentation to get a better idea about all the roles and their accessibility and limitations. # Dashboard An Intelligent visual view of your data The OrgAdmin Dashboard only shows the metrics generated by their organization whereas SuperAdmin Dashboard will show you the metrics generated by all organization in one place alongwith an option to see only the metrics generated by a specific organization. To see a glimpse of the Dashboard, you can visit the **Monitoring page** under Data and Metrics Section of this documentation. # WorkStations Enabling Zero Learning Curve, Open-Source, Virtualized Notebooks, Curated Algorithm Notebooks, Model Zoo Notebooks To get a deep insight and understanding of our Ai-WorkStation, refer to our [website](https://www.computational.zeblok.com/aiworkstation).  This section shows a list of **containers** which have already been brought to the Ai-MicroCloud and are ready to be spawned by the user using the steps mentioned in **Spawn Ai-WorkStation Guide** under our Quick Start Section of the documentation. **Create WorkStation**  In Fig 1. You can see the Create New WorkStation Button which opens a dialog box shown in Fig. 2. Note: This Is the screenshot of adding a container from a private Repository too by providing the required fields as shown. The following are the definitions for the fields shown in the Create WorkStation form. **Resource Name** => The name of the WorkStation you would like to give. **Image Tag** => The Image Name along with tag of the docker container. **Image Run Command** => The default RUN Command you want to execute at the start of the workstation (OPTIONAL). **Private Repository Toggle** => Enable it if the container resides in a private repository and also provide the 4 field values which are only to be filled when the container is in a private repository. **Select Compatible Plan** => This is a multi-select dropdown of the available plans and you have to select the ones suitable for this container. **Select Default Plan** => This is a dropdown among all the plans chosen in the previous field to chose one of them as the default plan. **Public Access to WorkStation** => Disabling it will only let the superadmin view this container for spawning. **Description Box** => Provide a suitable description for this WorkStation for the users to understand the capabilities of this workstation. **Video Link** => You can provide a video link for this container too, if available. **Upload Image** => Upload an image for this container as a thumbnail. **Type of workstation** => Select one of the three categories we have here at Ai-MicroCloud right now for the user’s convenience and understanding as it will be categorized accordingly. **Stripe Product Id** => All the products have a stripe Id for the billing and metrics purposes. **GitHub URL** => Url to clone after the initialization of workstation **GitHub branch name** => Branch name for the github url Note: All the fields are required and leaving an empty value won’t let you add the WorkStation. It is advised to write N/A if you do not have a value for a text field # IAM (Identity Access Management) IDENTITY ACCESS MANAGEMENT As the name suggests, IAM (Identity Access Management) is the gateway checking the authorization of the requests coming from a user and won’t permit if any request seems unauthorized. To know more in details about the underlying sections in our IAM system, refer to our [**IAM directory of the documentation under MORE Section**](/info/1.2.0/more/iam). # Organizations This section shows a list of organizations using the Ai-MicroCloud as a member.  **Create New Organization**  The following are the definitions of the fields in the Create New Organization Form: Organization Name => Name of the Organization Select Admin => Dropdown list of all the users in the Ai MicroCloud from which you can make the appropriate person the admin of the organization. Country => Dropdown list of countries which specifies the HQ location of the organization. **Note:** Creating an organization automatically creates 2 new namespaces for this organization by default: **public** and **private**. For more information, refer to our **NameSpace Guide** under this Section. # Plans Resource Aggregation This section shows a list of plans which specify the resources to be allocated and get attached to a WorkStation or a Microservice and come as a [**fourth step In the Spawning Ai- WorkStation Workflow**](https://computationaldocs.zeblok.com/zeblok-computational-1/spawn-workstation#step-4-beta-user)**.**  **Create New Plan**  The following are the definitions of the fields in the Create New Plan Form: **Name** => Name of the plan **vCPU** => Number of vCPUs to be allotted by this plan. **GPU** => Number of GPUs to be allotted by this plan. **Worker Nodes** => Number of worker nodes (Used for High Performance Computing). **Public Access to the Plan** => Toggle to make it available to the public or not. **Slurm – enabled** => Toggle to make this plan available for HPC (High Performance Computing). **Memory (GBs)** => RAM to be made available by this plan. **Storage (GBs)** => Storage to be made available by this plan. **Stripe Product Id** => All the products have a stripe Id for the billing and metrics purposes. **Select Plan Type** => There are 3 categories available right now: \- Ai- WorkStation \- MicroService \- Ai-API **Data Center** => Dropdown list of datacenters available in the Ai-MicroCloud where the resources can be allotted by this plan. # NameSpaces Resource Segregated Spaces As the name suggests, these are segregated spaces for organization’s activities where the superadmin decides or even the organization admin decides the members of the namespace under which those users can spawn an Ai-WorkStation, MicroService or an Ai-API.  **Create NameSpace**  Two new namespaces with suffix **private** and **public** are created whenever a new organization is created for the users. Also, the users have to be added by the superAdmin or an OrgAdmin for the users to be able to spawn their resources. # DataCenters Dedicated space for workload deployments and development This section lists the datacenters added in the Ai-MicroCloud which ultimately come as an option attached with the plan as shown in our [**Step 4 in Spawn an Ai-WorkStation Guide**](https://computationaldocs.zeblok.com/zeblok-computational-1/spawn-workstation#step-4-beta-user).  **Add new DataCenter** Adding a new Datacenter is a two-step process: · Filling up the form as shown in the below mentioned image.  • Approval of the datacenter by the superAdmin. # MicroServices Standalone containers and interconnected ecosystem of containers This section shows a list of **microservices** which have already been brought to the Ai-MicroCloud and are ready to be spawned by the user using the steps mentioned in [**Spawn a MicroService Guide**](https://computationaldocs.zeblok.com/zeblok-computational-1/spawn-microservice) under our Quick Start Section of the documentation.  **Add MicroService**  The following are the definitions for the fields shown in the **Create MicroService** form. **Resource Name** => The name of the WorkStation you would like to give. **Image Tag** => The Image Name along with tag of the docker container. **Select Compatible Plan** => This is a multi-select dropdown of the available plans and you have to select the ones suitable for this container. **Select Default Plan** => This is a dropdown among all the plans chosen in the previous field to choose one of them as the default plan/ recommendation. **Public Access to MicroService** => Disabling it will only let the superadmin view this container for spawning. **Description Box** => Provide a suitable description for this WorkStation for the users to understand the capabilities of this microservice. **Internal Ports** => List of port numbers with their protocol which are required for this microservice to work. **Upload Image** => Upload an image for this container as a thumbnail. # Customised Workstations Containerization of the Third Party Algorithm ### Objective Containerizing third party algorithms and using Zeblok's Ai-MicroCloud™ to provide access to more audiences. ### **Steps to follow** Zeblok offers a basic minimal notebook with pre-installed CUDA Libraries and the associated Docker Hub URL and Dockerfile Urls are given below.
# Release notes ZEBLOK COMPUTATIONAL AI-MICROCLOUD RELEASE ROADMAP **Version 1.2.0 (JUNE 2022)** {% tabs %} {% tab title="SaaS Updates" %} Zeblok Python SDK now has the feature to **deploy simultaneous multi-datacenter Ai-Pipelines** with also the ability to integrate the Ai-Runs output with open source tools. {% endtab %} {% tab title="PaaS Updates" %} * Dashboard now has the ability of **one click export users’ data** table as CSV for super admin and admins. * Every user will now get a **weekly mail** regarding his/ her usage details over the week. * **Private Docker Image repository support** has been enabled for both Ai-WorkStations as well as MicroServices, giving users the privilege to pull images from their private repositories. * Users can now **select from multiple versions** of an Ai-WorkStation or MicroService while spawning (latest or a previous version). * **Single click social media sign in** has been enabled via google. * Google Authenticator Process has been enabled for a strong **multi layered security process**. * MicroService spawning and Ai-API spawning process now have a configuration of plans attached which will also be reflected in the monitoring graphs of the same. * MicroServices are now flexible to **support multiple protocols** which can be exposed publicly or can be interconnected to other **microservices as an ecosystem**. * Spawning process has been made more error resistant, optimized and also intelligent with zeblok **cli auto configuration** process while spawning. * Ai-WorkStation spawning workflow now gives you a choice to **mount your S3 bucket** from our Ai-DataLake. * A **new MLOps Workflow** has been introduced for simultaneous multi-datacenter **Ai-Pipeline, Runs and experiments** with seamless integration with open source tools, which can be initiated using the zeblok cli. {% endtab %} {% tab title="IaaS Updates" %} * **Zeblok Private Image Repository** is the newest member in our Zeblok Infrastructure Ecosystem for real time security scans of the images as well as providing the security scan logs along with the severity of risks. This increases overall security as well as the image pull limit becomes a thing of the past. * Zeblok Containerization Service has been upgraded for **containerizing the Ai-Pipelines** images as well as for the auto deployment of the same. {% endtab %} {% endtabs %} **Version 1.1.0 (MARCH 2022)** {% tabs %} {% tab title="SaaS Updates" %} * Openvino Model Serving capabilities are now supported in the Ai-API Engine. * Openvino toolkit distribution has been upgraded to version 2022.4.1 * Ai-WorkStations have been upgraded with Nvidia Cuda Version 11.4 * JupyterLab has been upgraded to the latest version along with Python v3.9. {% endtab %} {% tab title="PaaS Updates" %} * New IAM (Identity Access Management) has been developed giving users and admins access to modify roles and permissions in a dynamic way giving more flexibility and ownership to the authorized users. * Username of the authorized user has been mapped to jupyterlab notebook spawning process giving more insight to security and tracking of activities. * Zbl Cli has been upgraded for the openvino packaging process of the IR models generated by Openvino notebook giving users more freedom on the Model Serving process. * Zbl Cli now has a new option/ feature for automating the Ai-API Deployment process using which users can predetermine their choices/ parameters for their deployment. * A new cross cloud service has been established where the packaged models from the cli are uploaded and image building and pushing to hub steps have been undertaken by the cross cloud service. A mail is sent to the users after the models become ready for deployment via Ai-API Engine. * Ai-API deployment now supports GRPC protocol where, on using a suitable GRPC client, users can interact with the trained models in a deployed state. * Zeblok Ai-DataLake has been upgraded and a one click auto account setup system has been introduced for the users along with RBAC security policies. * Resource Manager has been re-introduced now extending its capabilities for an organization admin too, where the administrator now has full control and insight over the resource consumption and Spawned Resource activities of the members of the Organizational Unit. * Auto backup of the MongoDB is enabled every 6 hours in all the environments. * Seamless Database seeding is enabled for quickly restoring the database from the backup. {% endtab %} {% endtabs %} **Version 1.0.0 (DECEMBER 2021)** {% tabs %} {% tab title="IaaS Updates" %} * Zeblok Ai-MicroCloud is now available at Azure Cloud Environment with all the latest features and power giving the same experience of Zeblok AI-MicroCloud on the Azure Platform. * Zeblok has established Ai-MicroClouds for two private baremetal turned cloud environments: Advantech Labs and Intel Dev Cloud. {% endtab %} {% tab title="PaaS Updates" %} * Notebook creation workflow has a new field added now for specifying run commands as a post workstation creation lifecycle which comes as a configuration flexibility for the Notebooks’ running. * DataCenter (only edge categories) have now an option for adding kiosks to them which can be selected for deploying your microservices and Ai-API on a specific kiosk. * Ai-API workflow has a new step added now for the selection of kiosks while selecting an On-Premise DataCenter. * Microservices also have a new step added now for the selection of kiosks while selecting an On-Premise DataCenter. * A new section in the menu has been added for Virtual Machines where you can get the shell access to a kiosk which is available as a node on the on-premise DataCenter. * Datacenter Monitoring page has been added for getting a status of the performance of all the nodes in the datacenter cluster along with a provision to view the monitoring logs and graphs of a specific node too. * A button to view the Ai-WorkStation or the MicroService pod logs has been given to view logs while the spawned resource is in running mode. * Session monitoring of all aiws,microservices and aiapi has been enabled for all the users so that the users can monitor the workloads and resources being consumed by their spawned resources and also decide if they need to upgrade to another plan. * A brand New user interface has been released giving a rich and smoother experience of the whole Ai-MicroCloud. {% endtab %} {% endtabs %} **Version 0.0.9 (SEPTEMBER 2021)** **PaaS Updates:** * Admin analytics dashboard has been updated with more precise and accurate data along with bug fixes providing a more precise idea of the usage by the users. * Zeblok Authentication MicroService has been updated with more secure tokens and authorization logics while making the user’s authentication and signup process easier than before. * Zeblok Ai-MicroCloud introduces a brand new workflow for microservices where you can run pre-uploaded and modified images in an isolated and an independent environment in just a few clicks like MongoDB, Intel DLWorkBench, etc. * Session page now also handles metrics for spawned microservices along with Ai-WorkStations. * User’s profile has two new tabs for Spawned MicroServices and one for their total runtime consumptions, both of which can be accessed by the SuperAdmin and the Organization’s Admin. * Periodic Backup in every 6 hours has been established in aws s3 buckets as a disaster management measure. * Superadmin now gets a new tab in their menu called “Resource Manager” where you can have a look at all and every kind of resource in the Ai-MicroCloud like Ai-WorkStation, MicroServices and Ai-API and also control them if required. **Version 0.0.8 (JUNE 2021)** Infrastructure Re-Architecture is done for better performance. * Jupyterhub is taken out and Kuberntetes APIs are Introduced for Orchestration giving a more stable infrastructure and debugging system. * This new Architecture allows more control over resources and gives a faster experience so that the users don’t have to wait for the spawning process for too long. * Dynamic Plans can be introduced now giving full access to the power of the infrastructure. * Istio Mesh Networking is introduced for Load Balancing and Networking among the pods for better connectivity along with a better security. **PaaS Updates:** * Login and Signup pages have a new UI now which is also mobile responsive. * Update has been rolled out for the new Admin analytics dashboard with more analytical metrics for viewing the activities of specific users in an organization. * Session page has more attributes added for more in depth metering and analysis. * User’s profile has a new tab for durations of the Ai-WorkStations now. * The Organizations table has a new View button for viewing the users and their duration of work in the Ai-Workstations. * Server Side pagination is implemented for reducing the bandwidth usage for users. * We now introduce a new workflow in our Ai-MicroCloud called Ai-API Engine which can be accessed by going to the Ai-Api section in the menu and clicking on the Create Ai-API button. For more information, you can visit
# Create an Account # Individual User Individual User Signup Process Click on this link
# Video Tutorial The below tutorial walks you through all the detailed steps that are required for the spawning of any workstation or microservice into our MicroCloud {% file src="/files/E4kEBGPWHO9wsf3mNBFd" %} How to spawn a workstation or an Microservice {% endfile %} {% file src="/files/yt7R5kLRxqozZxdQIFFX" %} How to spawn a Ray orchestration add-on service {% endfile %} {% file src="/files/5JZqWVijb3FhyheJNlmb" %} How to check the monitoring for your resources {% endfile %} {% file src="/files/uAzKSx5pMXWIMH5aMcRf" %} How to create you costume microservice and use it on AI-Microcloud {% endfile %} # FAQS # Introduction Introduction to Ai-APIᵀᴹ ### Overview Ai-API™ makes moving trained ML models to production easy: * Package models trained with ML framework and then containerize the model server for production deployment * Deploy anywhere for online API serving endpoints or offline batch inference jobs * High-Performance API model server with adaptive micro-batching support * Ai-API™ server is able to handle high-volume without crashing, supports multi-model inference, API server Dockerization, Built-in Prometheus metric endpoint, Swagger/Open API endpoint for API Client library generation, serverless endpoint deployment etc. * Central hub for managing models and deployment process via web UI and APIs * Supports various ML frameworks including: Scikit-Learn, PyTorch, TensorFlow 2.0, Keras, FastAI v1 & v2, XGBoost, H2O, ONNX, Gluon and more * Supports API input data types including: DataframeInput, JsonInput, TfTensorflowInput, ImageInput, FileInput, MultifileInput, StringInput, AnnotatedImageInput and more * Supports API output Adapters including: BaseOutputAdapter, DefaultOutput, DataframeOutput, TfTensorOutput and JsonOutput ### Easy steps to Ai-API**™** Deployment 1. [Select your notebook](https://computationaldocs.zeblok.com/zeblok-computational-1/ai-api/notebooks) 2. [Build Model](https://computationaldocs.zeblok.com/zeblok-computational-1/ai-api/build-models) 3. [Deploy](https://computationaldocs.zeblok.com/zeblok-computational-1/ai-api/deploy) ### # ZBL Command Line Interface ## Install and Configure ZBL-cli in Jupyter notebook Spawn a [Jupyterlab notebook](/info/1.2.6/spawn-workstation) and open it in the browser Open the Terminal and perform the below procedures that are mentioned: {% hint style="info" %} Zeblok cli is used in the workstation to interact with AI-Microcloud for the purpose of model serving , pipeline and snapshot {% endhint %} #### Configure the command line interface with Zeblok account ``` zeblok configure
Once you enter the above command the cli will prompt for Access Key and Secret Key
# Resource level monitoring We have enhanced our monitoring system to such a level that provides a clear view of all the resources that are utilized in our platform. Our platform portrays the graphical representation of utilization on a node and pod level, the resources that are captured are shown below: * CPU * Memory * Disk We have a detailed video of how to utilize and navigate to the monitoring part attached below, we recommend you to please have a look into this depiction for a detailed understanding of the usage {% file src="/files/6FHhiu5KJj6Cz9qwm4ua" %} # Intelligence Marketplace Carefully Selected ∙ Rigorously Tested ∙ Enterprise-Ready Proven, original algorithms – easy to read, use and share ### Overview Zeblok’s Intelligence Marketplace provides easy access to a growing library of proven, original third-party AI algorithms. Quality is ensured by our curation process, including closed loop validation, providing algorithm creators with a means of commercialization not previously available. We ensure that algorithms are easy to read, easy to use and easy to share. These include: {% file src="/files/-MedfSC1IZsWkFTMW-eX" %} Intelligence Marketplace {% endfile %} ### **Ai-Rover™ – Explainable AI Notebook** #### **Multi-variate, high dimensional data comprehension** AI systems tend to operate in the darkness of black boxes. Input data is transformed into decisions without much human-readable justification. The journey from data to insights requires a crucial data comprehension stage, so the direction of an AI/ML model is fully explainable. Omitting this stage may produce a result that is not actionable, causing the AI project to dead-end. Ai-Rover™ is the full implementation of an explainable AI algorithm on a virtualized notebook, in concert with Zeblok's GPU-powered data lake, Edge connectivity and other components. Ai-Rover™ discovers and visually explains patterns in complex datasets as well as the causal relationships underlying those patterns, supporting data analysts in the construction of trust-able decision-making AI models. Domain agnostic Ai-Rover™ is particularly useful for large, multi-variate, high dimensional data analysis. Ai-Rover™ enables the crucial data comprehension phase to properly target the direction of an AI project. Say goodbye to tedious data exploration and instead gain quick access to the hidden information in your data with a simple visual interface that enables users to intuitively derive subpopulations of data attributes, leading to better predictive insights. [Learn More...](https://854a0df5-7a21-4391-b1e4-c279d3cc5b86.filesusr.com/ugd/dc718d_dc7309f63872419395abe25463fce115.pdf) [Use Cases](https://www.computational.zeblok.com/biotech-and-pharma) ### Ai-Rover™ Notebook For Time Series Data #### Time series data forecasting & anomaly detection Ai-Rover™ Notebook For Time Series Data is a value framework to automate predictive model building that creates human-readable models from historical time series data. These models provide users with high-quality explainable forecasts and anomaly detections, creating business value in use cases across industries, containerized for easy incorporation into your AI/ML model. The framework is built on a field of mathematics called information geometry, an interdisciplinary field that uses differential geometry techniques to study probability theory and statistics. It enables model building which includes business focus, aggregates, and key performance indicators (KPIs). It can help you identify the value of the predictive analytics business use cases that you want to implement. Typical use cases and business applications: * Demand/capacity prediction * Predictive asset management * Fraud/anomaly detection * Marketing/social analysis * Pricing optimization [Learn more](https://www.computational.zeblok.com/airoverfortimeseries). ### Ai Video-Analytics-as-a-Service #### Near real-time Ai Video-Analytics A robust framework that enables development and implementation of AI-powered video analytics solutions. It accommodates video feeds in a variety of formats & resolutions, ranging from a few cameras to thousands of cameras; best in class annotation tools to generate unlimited number of datasets with precise guidelines and complex ontologies to significantly reduce labeling time and an inference engine to integrate your production output into your enterprise application from Core to Edge using RESTful API. Offer Video-Surveillance-as-a-Service by developing bespoke AI models to a variety of clients responsible for monitoring facilities, such as schools, highways and public spaces to identify vandalism and other suspicious behavior, monitor and analyze traffic patterns, identify traffic violations to providing Quality audits for manufacturing processes in automobile industries. Enterprise applications include: * Intrusion Detection * Suspicious Activity * Traffic & Parking Management * Smoke & Fire Detection * Crowd Counting * Vehicle Identification * Non-Invasive Body Temperature Monitoring * Dwell Time * Safety gear monitoring – Hardhats, safety goggles, masks [Learn more](https://www.computational.zeblok.com/videoanalytics). [Solution Brief](https://854a0df5-7a21-4391-b1e4-c279d3cc5b86.filesusr.com/ugd/dc718d_cc067581312d4bfb9afb2c666e4ce12c.pdf). ### Quantum Entropy-as-a-Service #### Quantum entropy for a connected world Zeblok provides quantum-safe security via container, with both high throughout and high entropy density, using QNu's Qosmos™ quantum random number generator , which uses device-generated random numbers, wherein the randomness is guaranteed by the laws of quantum mechanics. Zeblok's Quantum Entropy-as-a-Service (QEaaS) provides truly random numbers, delivered via container on Ai-MicroCloud™ to the network security layer, operating systems, embedded systems or at the network edge, providing a seamless upgrade from computational security posture to information provable security. The high throughput, low cost of upgradation and ease of integration makes this a very cost-effective and simple-to-deploy solution over companies' existing infrastructure. The architecture is scalable, provides load balancing, and has active failover. [Learn more](https://www.computational.zeblok.com/quantumsecurity). [Solution Brief](https://854a0df5-7a21-4391-b1e4-c279d3cc5b86.filesusr.com/ugd/dc718d_522ca639890e431e8fe444f426c71253.pdf). # Manage Account Account Security Mechanisms This article will guide you through our [Resetting Password Guide](https://computationaldocs.zeblok.com/zeblok-computational-1/more/manage-account/forgotpassword) and [2 Factor Authentication Guide](https://computationaldocs.zeblok.com/zeblok-computational-1/more/manage-account/2-factor-auth). {% hint style="info" %} **Note:** Enabling 2 Factor Authentication is an optional security measure you can avail, however we recommend you to enable this for better security of your account. {% endhint %} # Forgot Password Guide for resetting password If you are not able to login to your account, because you forgot your password, don't worry as this guide will take you through the process of resetting your password step by step.  1. Click on the Forgot Password link above the Sign In Button, and you will be redirected to our [Forgot Password Page](https://app.zbl-aws.zeblok.com/forgotpassword).  You will then receive an **Email** on your **Email-id** you entered in the forgot password link as shown in above image. {% hint style="info" %} **Note:** To receive a password reset link in your registered email id, you must have your account registered first with our Zeblok Computational Platform first. {% endhint %}  2\. Click on the Link option sent in your email and you will be redirected to a page and to enter New Password and after that click on the **Reset Password** button.  After that you will see this notification **Password updated successfully please login to continue.** Then You can Login with the New Password**.** # 2 Factor Authentication 2 Factor Authentication Guide ### Toggle 2 Factor Authentication Enter the login credentials in the [Sign In](https://app.zbl-aws.zeblok.com/), page then you will be redirected to dashboard page.  At the rightmost top-corner***,*** click on three dots and you will see a dropdown menu then at the bottom click on ***2-fa and your 2 factor Authentication will be enabled.***  {% hint style="info" %} **Note:** Enabling 2 Factor Authentication will have an effect on the sign in process starting the next time anyone tries to sign in to your account. {% endhint %} ### Sign In using 2 Factor Authentication #### Step 1: Enter your credentials and click on sign in button.  #### Step 2: As you can see, an OTP will be sent to your registered E Mail Id which you will have to enter to successfully login to your account.   {% hint style="info" %} **Note:** As mentioned above in the images, the validity of OTP is only 5 minutes. You will have only 4 attempts to enter a valid OTP, after which your account will be banned for signing in and you will have to contact the Zeblok Administrator for unblocking your account. {% endhint %} # IAM IDENTITY ACCESS MANAGEMENT ### Overview IAM is a user entity which we create in **Zeblok Computational Platform** to represent a person that uses it with limited access to resources. .png?alt=media\&token=c86c1431-2490-47e3-a702-d152012e1963) As you can see, we have 3 sections for defining user permissions and recourse management in the IAM page. * [Roles](https://computationaldocs.zeblok.com/zeblok-computational-1/more/iam/roles) * [Usergroups](https://computationaldocs.zeblok.com/zeblok-computational-1/more/iam/usergroup) * [Resources](https://computationaldocs.zeblok.com/zeblok-computational-1/more/iam/resources) {% hint style="info" %} **Note:** Only the user who has an admin access, gets access to IAM Tab in the Sidebar. {% endhint %} # Roles IAM: Roles ### Overview The Identity and Access Management (IAM) module in AI MicroCloud is designed to provide comprehensive control over user access, utilising three key components. *Assignment of Policies:* IAM allows the assignment of policies to users through the Roles section. These policies either grant privileges or impose restrictions on user activities, ensuring controlled access to AI MicroCloud resources. Here are few pre-defined roles available in the platform: **Basic Access:** Offers the most limited level of access. **Developer Role:** Tailored for developers with specific access. **Product Role:** Provides access related to products. **Playground User Role:** Custom role for users accessing the playground. {% hint style="info" %} **Note:** To know more about the sign up process for the user role and access, follow our [Create An Account Guide for Individual User](https://computationaldocs.zeblok.com/zeblok-computational-1/create-an-account/individual-user). {% endhint %} {% hint style="info" %} *Role-based Menu Restrictions:* Developer and Product roles may have specific menu restrictions, ensuring a tailored and controlled experience for users in these roles. {% endhint %} # Usergroup IAM: USERGROUP ### Overview A usergroup is a set of users who have the same permissions as the policies/ permissions are assigned to a usergroup in which the users get assigned. ***Organised Access:*** IAM enables the organisation's admin to create User Groups, streamlining access management. ***Role Assignment:*** Admins can assign roles within User Groups, collectively defining access levels for groups of users. ***Invitation and Access Control:*** The organisation's admin can invite individuals, assign roles, and manage access collectively through User Groups. When the [resources](https://computationaldocs.zeblok.com/zeblok-computational-1/more/iam/resources) are created, they are given access to certain usergroups in the platform and all the members of these usergroups get access to the resources collectively. # Resources IAM: RESOURCES ### Overview This section encompasses key resources within AI MicroCloud, including workstations, microservices, orchestration, and add-ons. ***Role-generated Policies:*** Roles established in the IAM module generate policies specific to these resources, dictating user access and permissions. # Admin Guide Admin Manual for mastering Zeblok Ai-MicroCloud # Menu The first view of the SideNav Menu after logging in via the Admin account gives the feeling of a wide range of options and authority over the Ai-MiroCloud. This guide is made for you to understand all the features and control that an Admin has, and also how to own the Ai-MircoCloud.  [Dashboard](https://computationaldocs.zeblok.com/zeblok-computational-1/more/admin-guide/dashboard) [Workstations](https://computationaldocs.zeblok.com/zeblok-computational-1/more/admin-guide/workstations) [IAM](https://computationaldocs.zeblok.com/zeblok-computational-1/more/admin-guide/iam-identity-access-management) [Organizations](https://computationaldocs.zeblok.com/zeblok-computational-1/more/admin-guide/organizations) [Plans](https://computationaldocs.zeblok.com/zeblok-computational-1/more/admin-guide/plans) [Namespace](https://computationaldocs.zeblok.com/zeblok-computational-1/more/admin-guide/namespaces) [Data Center](https://computationaldocs.zeblok.com/zeblok-computational-1/more/admin-guide/datacenters) [MicroServices](https://computationaldocs.zeblok.com/zeblok-computational-1/more/admin-guide/microservices) [Ai-API Engine](https://computationaldocs.zeblok.com/zeblok-computational-1/ai-api/introduction) You can click on any of the names above to know more in details about the specific section. Also, you can refer to IAM page under Mode Section of this documentation to get a better idea about all the roles and their accessibility and limitations. # Dashboard An Intelligent visual view of your data The OrgAdmin Dashboard only shows the metrics generated by their organization whereas SuperAdmin Dashboard will show you the metrics generated by all organization in one place alongwith an option to see only the metrics generated by a specific organization. To see a glimpse of the Dashboard, you can visit the **Monitoring page** under Data and Metrics Section of this documentation. # WorkStations Enabling Zero Learning Curve, Open-Source, Virtualized Notebooks, Curated Algorithm Notebooks, Model Zoo Notebooks To get a deep insight and understanding of our Ai-WorkStation, refer to our [website](https://www.computational.zeblok.com/aiworkstation).  This section shows a list of **containers** which have already been brought to the Ai-MicroCloud and are ready to be spawned by the user using the steps mentioned in **Spawn Ai-WorkStation Guide** under our Quick Start Section of the documentation. **Create WorkStation**  In Fig 1. You can see the Create New WorkStation Button which opens a dialog box shown in Fig. 2. Note: This Is the screenshot of adding a container from a private Repository too by providing the required fields as shown. The following are the definitions for the fields shown in the Create WorkStation form. **Resource Name** => The name of the WorkStation you would like to give. **Image Tag** => The Image Name along with tag of the docker container. **Image Run Command** => The default RUN Command you want to execute at the start of the workstation (OPTIONAL). **Private Repository Toggle** => Enable it if the container resides in a private repository and also provide the 4 field values which are only to be filled when the container is in a private repository. **Select Compatible Plan** => This is a multi-select dropdown of the available plans and you have to select the ones suitable for this container. **Select Default Plan** => This is a dropdown among all the plans chosen in the previous field to chose one of them as the default plan. **Public Access to WorkStation** => Disabling it will only let the superadmin view this container for spawning. **Description Box** => Provide a suitable description for this WorkStation for the users to understand the capabilities of this workstation. **Video Link** => You can provide a video link for this container too, if available. **Upload Image** => Upload an image for this container as a thumbnail. **Type of workstation** => Select one of the three categories we have here at Ai-MicroCloud right now for the user’s convenience and understanding as it will be categorized accordingly. **Stripe Product Id** => All the products have a stripe Id for the billing and metrics purposes. **GitHub URL** => Url to clone after the initialization of workstation **GitHub branch name** => Branch name for the github url Note: All the fields are required and leaving an empty value won’t let you add the WorkStation. It is advised to write N/A if you do not have a value for a text field # IAM (Identity Access Management) IDENTITY ACCESS MANAGEMENT As the name suggests, IAM (Identity Access Management) is the gateway checking the authorization of the requests coming from a user and won’t permit if any request seems unauthorized. To know more in details about the underlying sections in our IAM system, refer to our [**IAM directory of the documentation under MORE Section**](/info/1.2.6/more/iam). # Organizations This section shows a list of organizations using the Ai-MicroCloud as a member.  **Create New Organization**  The following are the definitions of the fields in the Create New Organization Form: Organization Name => Name of the Organization Select Admin => Dropdown list of all the users in the Ai MicroCloud from which you can make the appropriate person the admin of the organization. Country => Dropdown list of countries which specifies the HQ location of the organization. **Note:** Creating an organization automatically creates 2 new namespaces for this organization by default: **public** and **private**. For more information, refer to our **NameSpace Guide** under this Section. # Plans Resource Aggregation This section shows a list of plans which specify the resources to be allocated and get attached to a WorkStation or a Microservice and come as a [**fourth step In the Spawning Ai- WorkStation Workflow**](https://computationaldocs.zeblok.com/zeblok-computational-1/spawn-workstation#step-4-beta-user)**.**  **Create New Plan**
.png?alt=media&token=d9429b79-1320-45cc-8889-97ca217f6c7d)
# Resource Manager This feature allows the admin to have an overall view of the all the Workstations, Microservices and AI-APIs that are spawned into an account of that particular organization on our platform The resources can be categorized according to the following filter as shown below. * Resource Type * Organization * User * Status The admin can easily set the values for all the above given fields and check the resources spawned accordingly. To reach the resource manager tab we just need to login into our Micro-cloud platform and select the "Resource Manager" tab on the left hand list(Shown in below picture).
CICD: * Automatic cyclic updation without taking down the whole environment i.e. only changing the git version which will directly incorporate changes into a pre-deployed AI-M ecosystem * Automated deployment of the whole ecosystem from a single point of contact just by using variables that are collected from the user irrespective of the platform/environment to be deployed upon.
Edge Security: * Minimum Baseline security(MBSS) has been incorporated into our ecosystem for providing standardized security according to the global regulations which makes the whole platform very secure to outside attacks. * Access control on Edge provides SSH and BMC console only from specific subnets and on specific interfaces. * Data encryption on local storage is incorporated into the system to make it more secure. {% endtab %} {% tab title="PaaS Updated" %} Order Fulfillment System: * The new addition to our whole micro-cloud makes the interaction between user from buying the product to login into the micro-cloud really streamline by providing a one stop solution for the organization to place an order and setting up the microcloud.
Launcher: * “Basic launcher” deployment on cloud platform(AWS) * “Enterprise launcher” inclusive of the previous launcher version released in the last quarter along with the option to have HUB in either Public cloud or Bare-metal and attachment of multiple Edge nodes irrespective of the placement of HUB * GUI enhancement from the previous CLI only useability to deploy your Ai-Models to multiple edge nodes simultaneously in an Edge Datacenter as an Ai-API.
Datasets: A machine learning dataset is a collection of data that is used to train the model. A dataset acts as an example to teach the machine learning algorithm how to make predictions, Now our users can easily onboard their data onto the platform using few simple steps which can be utilized by any Micro-service/workstations that are spawned on the platform
{% endtab %} {% endtabs %} **Version 1.2.1 (SEPTEMBER 2022)** {% tabs %} {% tab title="SaaS Updates" %} * **Improved Microservice Configuration:** Spawning MicroService workflow now has a more flexible and dynamic configuration system for environment variables, arguments, ports, etc. * **Simultaneous EDGE deployments** of AI-API and MicroServices. * **Zeblok Cli**: Zeblok Cli now provides an option to deploy your Ai-Models to multiple edge nodes simultaneously in an Edge Datacenter as an Ai-API. * **Dynamic plans (CPU and Memory)**: Spawning Ai-WorkStation, MicroService and Ai-API workflows have been added with an option to **attach customized plans** (CPU and RAM according to user’s needs) where the resources will be within the limits set by the **real-time resource metrics** **recommendation** system. * **Resource manager with monitoring**: Resource Manager Tab in Ai-MicroCloud now gives the superadmin and admins an **ability to view the monitoring graphs** of each resource like Ai-API, Ai-Workstation and MicroServices. * **Crosscloud integration:** Ai-Models and Ai-Pipelines have been enabled to show their **security scan logs** along with previously enabled Ai-WorkStations and MicroServices which gives the users a better understanding of vulnerabilities in their images. **LAUNCHER APP(Edge):** * New GUI for easy and efficient setup of the **Microcloud on bare metal servers** * **Zeblok Launcher App** is the newest member in the Ai-MicroCloud installation ecosystem. This feature seamlessly installs the whole Ai-MicroCloud edge ecosystem from scratch in a bare-metal environment efficiently. {% endtab %} {% tab title="PaaS Updates" %} * **Zeblok CLI** is available at -
| Team | |
|---|---|
| Technical Team | support@zeblok.com |
| Sales Team | sales@zeblok.com |
# Create an Account # Individual User Individual User Signup Process Click on this link
Once you enter the above command the cli will prompt for Access Key and Secret Key
