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About

Accelerate the end-to-end machine learning lifecycle with Azure Machine Learning Studio. Empower developers and data scientists with a wide range of productive experiences for building, training, and deploying machine learning models faster. Accelerate time to market and foster team collaboration with industry-leading MLOps—DevOps for machine learning. Innovate on a secure, trusted platform, designed for responsible ML. Productivity for all skill levels, with code-first and drag-and-drop designer, and automated machine learning. Robust MLOps capabilities that integrate with existing DevOps processes and help manage the complete ML lifecycle. Responsible ML capabilities – understand models with interpretability and fairness, protect data with differential privacy and confidential computing, and control the ML lifecycle with audit trials and datasheets. Best-in-class support for open-source frameworks and languages including MLflow, Kubeflow, ONNX, PyTorch, TensorFlow, Python, and R.

About

TensorBlock is an open source AI infrastructure platform designed to democratize access to large language models through two complementary components. It has a self-hosted, privacy-first API gateway that unifies connections to any LLM provider under a single, OpenAI-compatible endpoint, with encrypted key management, dynamic model routing, usage analytics, and cost-optimized orchestration. TensorBlock Studio delivers a lightweight, developer-friendly multi-LLM interaction workspace featuring a plugin-based UI, extensible prompt workflows, real-time conversation history, and integrated natural-language APIs for seamless prompt engineering and model comparison. Built on a modular, scalable architecture and guided by principles of openness, composability, and fairness, TensorBlock enables organizations to experiment, deploy, and manage AI agents with full control and minimal infrastructure overhead.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Data scientists, AI, and machine learning developers

Audience

Developers, AI engineers, and organizations wanting a solution to integrate, manage, and interact with multiple large language models through a consistent API and extensible workspace

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Microsoft
Founded: 1975
United States
azure.microsoft.com/en-us/products/machine-learning/

Company Information

TensorBlock
United States
tensorblock.co

Alternatives

Alternatives

Portkey

Portkey

Portkey.ai

Categories

AI Development Supported
AI Governance Supported
AI Infrastructure Supported
Data Labeling Supported
Machine Learning Supported

Categories

AI Development Supported
AI Gateways Supported
LLM Routers Supported

Data Labeling Features

Human-in-the-loop Supported
Labeling Automation Supported
Labeling Quality Supported
Performance Tracking Supported
Polygon, Rectangle, Line, Point Supported
SDK Supported
Supports Audio Files Supported
Task Management Supported
Team Collaboration Supported
Training Data Management Supported

Machine Learning Features

Deep Learning Not Supported
ML Algorithm Library Not Supported
Model Training Not Supported
Natural Language Processing (NLP) Not Supported
Predictive Modeling Supported
Statistical / Mathematical Tools Not Supported
Templates Not Supported
Visualization Not Supported

Integrations

Microsoft Azure Supported
Azure Data Science Virtual Machines Supported
Azure Database for MariaDB Supported
Azure Kinect DK Supported
Claude Not Supported
Cloudflare Not Supported
Cranium Supported
DeepSeek Not Supported
Evvox Supported
Google Cloud Platform Not Supported
Lambda Not Supported
MLflow Supported
Meta AI Not Supported
Microsoft Intelligent Data Platform Supported
Model Context Protocol (MCP) Not Supported
New Relic Supported
OpenAI Not Supported
Superwise Supported
Visual Studio Code Supported
Wizata Supported

Integrations

Microsoft Azure Supported
Azure Data Science Virtual Machines Not Supported
Azure Database for MariaDB Not Supported
Azure Kinect DK Not Supported
Claude Supported
Cloudflare Supported
Cranium Not Supported
DeepSeek Supported
Evvox Not Supported
Google Cloud Platform Supported
Lambda Supported
MLflow Not Supported
Meta AI Supported
Microsoft Intelligent Data Platform Not Supported
Model Context Protocol (MCP) Supported
New Relic Not Supported
OpenAI Supported
Superwise Not Supported
Visual Studio Code Not Supported
Wizata Not Supported
Claim Azure Machine Learning and update features and information
Claim Azure Machine Learning and update features and information
Claim TensorBlock and update features and information
Claim TensorBlock and update features and information