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.

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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.

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Intelligence Marketplace

Zeblok’s Intelligence Marketplace provides easy access to a growing library of proven, original 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:

  • Ai-Rover™ Notebook: Data Comprehension/Visualization Tool

  • Ai-Rover™ Notebook For Time Series Data: Automated Predictive Model Builder

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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.

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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.

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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.