Audience

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

About NVIDIA FLARE

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.

Pricing

Starting Price:
Free
Free Version:
Free Version available.

Integrations

API:
Yes, NVIDIA FLARE offers API access

Ratings/Reviews

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Company Information

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

Videos and Screen Captures

NVIDIA FLARE Screenshot 1
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Product Details

Platforms Supported
Cloud
Windows
Mac
Linux
Training
Documentation
Live Online
Webinars
In Person
Videos
Support
Phone Support
Online

NVIDIA FLARE Frequently Asked Questions

Q: What kinds of users and organization types does NVIDIA FLARE work with?
Q: What languages does NVIDIA FLARE support in their product?
Q: What kind of support options does NVIDIA FLARE offer?
Q: What other applications or services does NVIDIA FLARE integrate with?
Q: Does NVIDIA FLARE have an API?
Q: What type of training does NVIDIA FLARE provide?
Q: How much does NVIDIA FLARE cost?

NVIDIA FLARE Product Features