frontieropen-source

NVIDIA

GPU infrastructure pioneer releasing open AI models optimised for enterprise deployment.

3
Models tracked
1993
Founded
Llama-3.1-Nemotron-70B
Flagship model
Santa Clara
HQ
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About

About NVIDIA

NVIDIA, the world's leading GPU manufacturer, has become a major open-source AI model publisher. The Nemotron series — RLHF fine-tuned on top of Llama — leads open-source helpfulness rankings while NVIDIA NIM provides containerised model inference optimised for NVIDIA hardware. Nemotron-4 340B was released as a fully open research model, while Llama-3.1-Nemotron-70B topped open-source model rankings on helpfulness.

nvidia.com

Key highlights

  • Llama-3.1-Nemotron-70B led open-source helpfulness benchmarks at launch

  • NVIDIA NIM provides production-ready containerised inference for all major models

  • Nemotron-4 340B released fully open for synthetic training data generation

  • Available on NVIDIA API Catalog with a free tier for developers

  • All Nemotron models run optimally on NVIDIA H100/A100 hardware

Models

3 models tracked

Context windows, pricing, capabilities, and API identifiers — everything you need to choose the right model for your workload.

FlagshipOpen Source

Llama-3.1-Nemotron-70B

2024

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TextCodeReasoning

A Llama 3.1 70B model fine-tuned with NVIDIA RLHF for maximum helpfulness. Topped the open-source MT-Bench and Arena-Hard helpfulness rankings at launch.

  • Helpfulness RLHF training
  • Llama licence
  • Top open-source helpfulness rank
  • Strong instruction following
nvidia/llama-3.1-nemotron-70b-instruct
Open Source

Nemotron-4 340B

2024

4Kcontext
TextCode

A massive 340B dense model released for research and synthetic data generation. Useful as a teacher model for distillation and generating high-quality training sets.

  • 340B open dense model
  • Synthetic data generation
  • NVIDIA licence
  • Research grade
nvidia/nemotron-4-340b-instruct
Open Source

Mistral-NeMo-Minitron 8B

2024

8Kcontext
TextCode

A knowledge-distilled 8B model pruned from Mistral NeMo 12B using NVIDIA pruning and distillation techniques. Strong performance for its compact size.

  • Pruned from Mistral NeMo 12B
  • Efficient 8B size
  • Knowledge distilled
  • MIT licence
nvidia/mistral-nemo-minitron-8b-instruct

Use Cases

What NVIDIA is best for

Each provider has specialisms shaped by their architecture decisions, training data, and API design. Here is where NVIDIA performs best.

NVIDIA-hardware optimised inference
Synthetic training data generation
Helpfulness-tuned conversational AI
Enterprise model deployment via NIM
Open model research

Get started

Start building with NVIDIA

Visit the official NVIDIA platform to access API keys, documentation, and pricing details.

Visit nvidia.comRead the docsBack to all providers