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DLSS 4 is here!🚀Multi-Frame Generation for smoother frame rates and Transformer-based models driving enhanced image quality. This milestone reflects the passion, creativity, and dedication of many people at NVIDIA. Excited to shape the future of graphics with AI? Join us!

Technical insights into what makes DLSS4 so great, including MFG, transformer models, and Reflex Frame Warp: research.nvidia.com/labs/adlr/DLSS…

Some people today are discouraging others from learning programming on the grounds AI will automate it. This advice will be seen as some of the worst career advice ever given. I disagree with the Turing Award and Nobel prize winner who wrote, “It is far more likely that the

I fully agree with Andrew Ng on this. There’s never been a better time to learn to code. Coding just became a lot more accessible thanks to AI copilots. Anyone with an idea can now code an app to either make money or do something good. I think we’re at the onset of an

Extremely proud of the team’s work to make DLSS4 a reality, where team == SW, Devtech, Product, Research … We’re on a mission to reinvent graphics with deep learning and genAI. Come work with us! research.nvidia.com/labs/adlr/DLSS… edliu1105 Bryan Catanzaro

Nemotron-H: A family of Hybrid Mamba-Transformer LLMs. * Hybrid architecture means up to 3X faster at the same accuracy * Trained in FP8 * Great for VLMs * Weights and instruct versions to come soon. research.nvidia.com/labs/adlr/nemo…

A long time ago, back before DLSS was in many games (and when my hair was shorter and less gray), I went to Nintendo HQ to show them an early prototype of DLSS 2, in the hopes that a future Switch console would use DLSS. I'm so proud that the Switch 2 will be DLSS powered!

Base model Nemotron-H weights have been released under a research license: huggingface.co/nvidia/Nemotro…

MIND is at ICLR 2025 🎉 and we’re releasing the pretraining dataset of 138B tokens + blog as the conference kicks off! 📄 Poster #258: Aug 25, 10AM–12:30PM 📍Hall 3 + Hall 2B 🤗 Dataset: tinyurl.com/bd38d62n 🧠 Blog: tinyurl.com/4ndhte8x 🔗 Paper: arxiv.org/abs/2410.12881

Boston Dynamics collaborated with NVIDIA to demonstrate DextrAH-RGB, a workflow for dexterous grasping from stereo RGB input. The end-to-end policy for Atlas robot, trained entirely in NVIDIA Isaac Lab, transfers zero-shot from simulation to the real robot.

Llama-Nemotron-v1 technical report is now available on arxiv arxiv.org/pdf/2505.00949…

It takes great data to make a great model. We're opening the data curation pipeline for Nemotron models, and we're also posting as much of the Nemotron training and post-training data as possible. These days, data is a fundamental part of accelerated computing.

📣 Introducing AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement Learning (RL) Starting from the SFT model DeepSeek-R1-Distill-Qwen-14B, our AceReason-Nemotron-14B achieves substantial improvements in pass@1 accuracy on key benchmarks through RL: AIME

Nemotron-CORTEXA just reached the top of the SWEBench leaderboard for using LLMs to solve software engineering problems, solving 68.2% of SWEBench GitHub issues! It does so by using a multi-step problem localization and repair process, generating multiple proposal candidates

🥇Our NVIDIA Llama Nemotron Nano VL model is #1 on the OCRBench V2 leaderboard. Designed for advanced intelligent document processing and understanding, this model extracts diverse info from complex documents with precision, all on a single GPU. 📗 Get the technical details

In an era where inference speed yields more reinforcement learning, which yields more AI, we feel hybrid SSM-transformer models have some compelling advantages. Nemotron-H-47B-Reasoning-128k is a bit more accurate than Llama-Nemotron-Super-49B-1.0 across all benchmarks, but it

NVIDIA benefits greatly from the open-source community, and we're excited to be able to contribute back. It's great to see so much energy in open-source AI!