NVIDIA
NVIDIA develops GPUs, systems on chips and APIs for data science, high-performance computing and artificial intelligence.
- CountryUnited States
- Founded1993
- Crunchbase
- PitchBook
- Text
- Jensen Huang
- Bill Dally
- Colette Kress
| Model | Modalities | Released | Architecture | License |
|---|---|---|---|---|
| Llama 3.3 Nemotron Super 49B V1.5 | TextText | — | Llama3 | — |
| Nemotron 3 Nano 30B A3B | TextText | — | Other | — |
| Nemotron 3 Super | TextText | — | Other | — |
| Nemotron Nano 12B v2 VL | — | — | — | — |
| NVIDIA Nemotron Nano 9B v2 | — | — | — | — |
NVIDIA is an American multinational technology company headquartered in Santa Clara, California. It develops graphics processing units, systems on chips and application programming interfaces for data science, high-performance computing, artificial intelligence, and mobile and automotive applications. NVIDIA was founded in 1993 by Jensen Huang, Chris Malachowsky and Curtis Priem. Originally focused on GPUs for video games, the company broadened their use into artificial intelligence, professional visualization and supercomputing.
Its product lines include GeForce GPUs for gaming and creative workloads, and professional GPUs for edge computing, scientific research and industrial applications. NVIDIA also developed the Tegra line of mobile processors for smartphones, tablets and automotive infotainment systems, offers Shield devices, and operates the GeForce Now cloud gaming service. The company invested over a billion dollars to develop CUDA, a software platform and API that enables GPUs to run massively parallel programs for compute-intensive applications. CUDA, launched in 2006, offers developers more than 300 libraries, 600 AI models, numerous SDKs and support for 3,700 GPU-accelerated applications, and its ecosystem includes more than 5 million developers and 40,000 companies.
For AI and high-performance computing, NVIDIA provides DGX Systems, integrated AI supercomputing systems optimized for enterprise AI and HPC workloads that combine GPUs, software and networking. Blackwell architecture GPUs are designed for AI, HPC and graphics workloads and support AI training and real-time LLM inference for models scaling up to 10 trillion parameters. NVIDIA NIM inference microservices are containerized, pretrained AI-in-a-box services that integrate CUDA libraries, optimized inference engines, industry-standard APIs and AI model support for deployment. Through CUDA and NIM, NVIDIA lets developers and enterprises build and deploy AI applications across cloud, on-premises data centers and RTX AI PCs.
NVIDIA technology supports automotive, healthcare, robotics, digital twins and gaming. NVIDIA DRIVE supports all 30 top autonomous vehicle data centers, more than 400,000 developers have downloaded the MONAI healthcare imaging AI framework, more than 1 million developers use the Jetson platform for edge AI, and more than 200 million gamers and creators use GeForce GPUs. More than 25,000 companies use NVIDIA AI technology to power AI factories, and NVIDIA AI technology provides the platform for services from Google, Microsoft, Amazon, Meta, Alibaba, Tencent, Pinterest, PayPal, Snap, Spotify and other companies. NVIDIA's research and development work in accelerated computing and AI spans gaming, healthcare and transportation.
API providers
Services operated by this organization
NVIDIA
OpenAI compatibleAvailable deployments
Live provider data
| Model | Provider | Input | Output | Input context |
|---|---|---|---|---|
| Nemotron 3 SuperNVIDIA | NVIDIAnemotron-3-super-120b-a12b | — | — | — |
Token prices are shown per one million tokens.
