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About

NVIDIA FLARE (Federated Learning Application Runtime Environment) is an open source, extensible SDK designed to facilitate federated learning across diverse industries, including healthcare, finance, and automotive. It enables secure, privacy-preserving AI model training by allowing multiple parties to collaboratively train models without sharing raw data. FLARE supports various machine learning frameworks such as PyTorch, TensorFlow, RAPIDS, and XGBoost, making it adaptable to existing workflows. FLARE's componentized architecture allows for customization and scalability, supporting both horizontal and vertical federated learning. It is suitable for applications requiring data privacy and regulatory compliance, such as medical imaging and financial analytics. It is available for download via the NVIDIA NVFlare GitHub repository and PyPi.

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
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Organizations and researchers needing a tool to implement secure, collaborative machine learning across decentralized datasets

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
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

NVIDIA
Founded: 1993
United States
developer.nvidia.com/flare

Company Information

TensorBlock
United States
tensorblock.co

Alternatives

Alternatives

Portkey

Portkey

Portkey.ai
Keepsake

Keepsake

Replicate

Categories

Categories

Integrations

Claude
Cloudflare
DeepSeek
Gemini Enterprise Agent Platform
GitHub
Google Cloud Platform
Lambda
Meta AI
Microsoft 365
Microsoft Azure
Mistral AI
Model Context Protocol (MCP)
NVIDIA DRIVE
NVIDIA NeMo
NVIDIA RAPIDS
NumPy
OpenAI
PyTorch
TensorFlow

Integrations

Claude
Cloudflare
DeepSeek
Gemini Enterprise Agent Platform
GitHub
Google Cloud Platform
Lambda
Meta AI
Microsoft 365
Microsoft Azure
Mistral AI
Model Context Protocol (MCP)
NVIDIA DRIVE
NVIDIA NeMo
NVIDIA RAPIDS
NumPy
OpenAI
PyTorch
TensorFlow
Claim NVIDIA FLARE and update features and information
Claim NVIDIA FLARE and update features and information
Claim TensorBlock and update features and information
Claim TensorBlock and update features and information