Core Concepts
Ai-MicroCloud™
Ai-MicroCloud™ provides a single, cohesive, turnkey, cloud native AI environment for development, testing, training and deployment of an end-to-end AI/ML solution to production from Core to Edge.
It saves 12-18 months of engineering effort to integrate the multitude of technologies, countless hours of business effort to establish a compatible and collaborative AI ecosystem, and reduces GTM for ISVs by 8-12 months.
JupyterLab: Jupyter’s Next-Generation Notebook Interface
JupyterLab is a web-based interactive development environment for Jupyter notebooks, code, and data. JupyterLab is flexible: configure and arrange the user interface to support a wide range of workflows in data science, scientific computing, and machine learning. JupyterLab is extensible and modular: write plugins that add new components and integrate with existing ones.
The Jupyter Notebook
The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.
Ai- WorkStation
The Zeblok Ai-WorkStation provides a single unified environment, which seamlessly orchestrates infrastructure, open source AI/ML frameworks and proven, original AI algorithms. An intuitive and simple user interface enables a data scientist, data engineer, or AI engineer to access petaFLOPS of computing power, efficiently develop and train new AI models and take them to production in a runtime environment on the same platform, with consummate ease.
Ai-HPC-WorkStation
Zeblok enables you to seamlessly scale to high-performance computing (HPC). Access HPC resources via a Jupyter Notebook.
One-click scalability for AI workloads.
Ai-Data Lake
A data lake is a centralized repository that allows you to store all your structured and unstructured data at any scale. Zeblok Ai-Data Lake is a high-performance data-store that allows you to import, filter, and instantly analyze objects. Our solution is designed for performance, scales up with your data, and can provide industry-grade SSL security and data-redundancy for high availability of data at SSD speeds.
Ai-APIᵀᴹ
Getting machine learning models into production is hard. Data scientists are not experts in building production services and DevOps best practices. The trained models produced by a data science team are hard to test and hard to deploy. This often leads to a time consuming and error-prone workflow, where a pickled model or weights file is handed over to a software engineering team.
Zeblok’s Ai-API™ Engine resides within Zeblok’s Ai-MicroCloud™ to facilitate deploying trained machine learning models anywhere. It bridges the gap between data science and DevOps, enabling teams to deliver AI inferences in a fast, repeatable and scalable way.
Ai-MicroCloudᵀᴹ Manager
Ai-MicroCloud™ Manager is the centralized management utility for Ai-MicroCloud™ and is used to manage and orchestrate all dependent components for Ai-WorkStation, Ai-HPC-WorkStation, Ai-Data Lake, Intelligence Maketplace and the Ai-API™ Engine.
The Ai-MicroCloud™ Manager enables the enterprise administrator to define role-based access control, infrastructure plans (vCPUs, GPUs, memory, storage), define Namespaces and add accessible data centers, and provides metering information for resource utilization monitoring, billing or charge back purposes.