ChipNeMo
ChipNeMo is a research project and a family of domain-adapted large language models developed by Nvidia to assist with industrial semiconductor and chip-design tasks.
Large Language Models
Explore language models, how they work, and the techniques used to build applications with them.
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Showing 1-13 of 13 articles
Jet-Nemotron
Jet-Nemotron is a family of small hybrid-architecture language models released by NVIDIA Research in August 2025.
Llama Nemotron
Llama Nemotron is a family of open reasoning large language models built by Nvidia by post-training Meta's Llama models for math, coding, and agentic tasks.
Llama-3.1-Nemotron-70B-Instruct
Llama-3.1-Nemotron-70B-Instruct is a large language model released by NVIDIA in October 2024.
Mistral NeMo
Mistral NeMo is a 12 billion parameter large language model released by Mistral AI in collaboration with NVIDIA on July 18, 2024 .
NVLM
NVLM (short for NVIDIA Vision Language Model), released as NVLM 1.0, is a family of open multimodal large language models developed by Nvidia.
Nemotron
Nemotron is NVIDIA's brand for its family of open large language models and the datasets, training recipes, and evaluation tools built around them.
Nemotron 3
Nemotron 3 is a family of open-weights large language model systems released by NVIDIA beginning on December 15, 2025, built for agentic AI and consisting of three sparse mixture-of-experts variants named…
Nemotron 3.5 Lightning
NVIDIA Nemotron 3.5 Lightning is an open-weights 30 billion parameter mixture-of-experts language model with 3 billion active parameters per token, released by NVIDIA on August 11
Nemotron-4
Nemotron-4 is a family of decoder-only large language models developed by NVIDIA and documented in two technical reports released in 2024.
Nemotron-H
Nemotron-H is a family of open-weight large language models released by NVIDIA in April 2025 that replace most of the self-attention layers of a standard Transformer with Mamba-2 state-space layers, producing…
Nemotron-Labs-TwoTower
Nemotron-Labs-TwoTower is an open-weight diffusion language model released by NVIDIA in mid-2026.
SparDA
SparDA (Sparse Decoupled Attention) is an add-on architecture for long-context large language model inference proposed by researchers at NVIDIA in a paper posted to arXiv on 3 June 2026.