Nvidia Nemotron 4
Category: Foundation Models / LLMs
NVIDIA's next-generation open AI model family (Nemotron 4), under development with a flagship expected to reach at least 1 trillion parameters, extending the chipmaker's open foundation-model lineup beyond hardware. Nvidia Nemotron 4 was founded in 1993. The company is led by Jensen Huang. Based in Santa Clara, California, USA. Team size: 500+. Key investors include Public company (NASDAQ: NVDA) — no VC investors.
- Founded
- 1993
- Headquarters
- Santa Clara, California, USA
- Team size
- 500+
Value proposition
Open, highly efficient, multimodal foundation models for long-running, self-evolving AI agents, with transparent training data and broad platform support from edge (RTX PRO) to cloud (DGX Cloud, DGX Spark) — allowing enterprises to build and deploy customized agentic AI while NVIDIA moves beyond hardware into open frontier models.
Products and solutions
Nemotron-4 340B family (Base/Instruct/Reward, released June 2024), Nemotron 4 next-gen in development targeting 1T+ parameters, Nemotron 3.5 Lightning (lightweight open model, single-GPU/laptop), Nemotron 3 Ultra, Nemotron Coalition open frontier model, integrated with NVIDIA NIM microservices, NeMo, TensorRT-LLM, NeMo Switchyard, DGX Cloud, DGX Spark, and RTX PRO.
Unique value
Fully open-access foundation models (Base/Instruct/Reward tiers) released under NVIDIA's permissive Open Model License, optimized for synthetic data generation and agentic reasoning, and tightly integrated with NVIDIA's CUDA, NeMo, TensorRT-LLM, NIM microservices, and hardware stack for maximum performance.
Target customer
Enterprises and developers building agentic AI systems; synthetic data generation (SDG) for fine-tuning custom models; government/industry labs seeking sovereign and open models.
Industries served
Enterprise AI, agentic AI applications, synthetic data generation, healthcare, engineering, operations, government/sovereign AI
Technology advantage
Synthetic Data Generation (SDG) pipeline using Instruct model to generate responses + Reward model to rank/filter (~98% of fine-tuning data synthetically generated); efficient agentic reasoning and high inference throughput; multimodal capabilities; integration across NVIDIA's CUDA-X, NeMo, NIM, TensorRT-LLM, and DGX/RTX hardware platforms.
How they differentiate
Unlike closed proprietary frontier models, Nemotron is openly available with transparent (published) training data and recipes; combines frontier-scale open models (up to 1T params) with NVIDIA's unique full-stack advantage — CUDA, NeMo tooling, TensorRT-LLM, NIM inference microservices, and its own GPU/DGX hardware — enabling both massive scale and efficient single-GPU deployment.
Main competitors
Meta Llama (open LLM family), Alibaba Qwen (open-weight LLM), DeepSeek, Mistral (open models), Moonshot AI Kimi
Key partnerships
Nemotron Coalition: Black Forest Labs, Cursor, LangChain, Mistral AI, Perplexity, Reflection AI, Sarvam, Thinking Machines Lab (led by Mira Murati) — jointly building an open frontier model trained on NVIDIA DGX Cloud, NVIDIA provides Blackwell cluster time and optimization tooling.
Major milestones
1993: NVIDIA founded, June 2024: Nemotron-4 340B family (Base/Instruct/Reward) released as open access, Aug 2026: The Information/Reuters report NVIDIA developing Nemotron 4 with 1T+ parameter flagship, Aug 2026: NVIDIA launches Nemotron Coalition of leading global AI labs, Nemotron 3.5 Lightning open-source lightweight model released Aug 2026.
Growth metrics
NVIDIA is the world's most valuable company at ~$5.4T market cap (Aug 2026); ~$81.6B revenue in a single quarter; ~42,000 employees; Nemotron-4 340B family open-sourced June 2024 on Hugging Face.
Market positioning
NVIDIA, the AI-compute market leader (world's most valuable company at ~$5.4T market cap, Aug 2026), is leveraging its dominant GPU/software stack to enter open frontier foundation models, positioning Nemotron as a leading open alternative to proprietary models amid intensifying competition from open-weight rivals Llama, Qwen, and DeepSeek.
Geographic focus
Global — competing with US (Meta, Mistral) and Chinese (Qwen, DeepSeek, Moonshot) open-model labs; sovereign AI push worldwide
Patents and IP
Released under the NVIDIA Open Model License Agreement (permissive, allows personal, research, and commercial use); models published on Hugging Face (nvidia/Nemotron-4-340B collection); technical report on arXiv (2406.11704).
About Jensen Huang
Co-founded NVIDIA in 1993 with Chris Malachowsky and Curtis Priem; earlier at LSI Logic and Advanced Micro Devices (AMD); holds BSEE from Oregon State University and MSEE from Stanford University. Serves as NVIDIA's president, CEO, and board member since inception (confirmed current CEO as of 2026).
Latest news about Nvidia Nemotron 4
More Foundation Models / LLMs companies
Official website: https://www.nvidia.com/en-us/ai-data-science/foundation-models/nemotron/