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If you’re seeing this, you should be following @NVIDIAAI. Our developer team has moved next door to @NVIDIAAI. Join us there to stay up to date on the latest products, models, deep dives, and more. Thanks to everyone who’s been with us here. We hope to see soon 💚
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From interactive hair simulation to an #AI system that can auto-generate realistic 3D character motion by watching 2D videos, check out the 19 papers from #NVIDIAResearch accepted into #SIGGRAPH2023. Read the blog with links to each paper: nvda.ws/3nniRKc
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Introducing DeepSeek-R1 optimizations for Blackwell, delivering 25x more revenue at 20x lower cost per token, compared with NVIDIA H100 just four weeks ago. Fueled by TensorRT DeepSeek optimizations for our Blackwell architecture, including FP4 performance with state-of-the-art production accuracy, it scored 99.8% of FP8 on MMLU general intelligence benchmark. FP4-optimized DeepSeek checkpoint now available on @huggingface: huggingface.co/nvidia/DeepSe…
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✨Introducing Neuralangelo✨ A new #AI model to turn 2D video from any device -- cell phone to drone capture -- into 3D structures with intricate details. New from #NVIDIAResearch #CVPR2023 Read more: nvda.ws/3OPOlDR
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Let us introduce you to the next evolution of #GauGAN: #GauGAN360 turns your simple sketch into a 360 degree HDR environment. Try it now on our interactive #AI Playground. nvidia.com/en-us/research/ai…
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Out of the box, and now powering up in the lab. Stay tuned …. #SparkSomethingBig
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Securely experiment and build your own specialized agents, as the 671-billion-parameter DeepSeek-R1 model is now available as an NVIDIA NIM microservice in preview on build.nvidia.com. Learn more ➡️ nvda.ws/4grQaBq
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NVIDIA CEO Jensen Huang just awarded 20 lucky guests a specially designed 32 GB CEO edition of the #TITANV at private #CVPR2018 reception.
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🎉 NVIDIA has achieved the world’s fastest DeepSeek-R1 inference. 👀 A single system with eight Blackwell GPUs in an NVL8 configuration delivers 253 TPS/user or 30K TPS system throughput on the full DeepSeek-R1 671B parameter model. #GTC25 ➡️ nvda.ws/3FzAzCO
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Trained in minutes, rendered in seconds. ⏱️ Our Instant NeRF from NVIDIA Research turns 2D photos into 3D scenes in the blink of an #AI. #nerfies #neuralnetworks #SX70 #GTC22 nvda.ws/36HL5GB
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Yes, it really does work! #notphotoshopped. Watch the #GTC20 keynote to learn how its done: piped.video/04E3EjsQLYo?t=721
If this works, it’s just nuts. Nvidia has come up with a video compression algorithm that lets you do Zoom calls with a tiny fraction of the bandwidth usually required. Could be a game-changer for people with poor internet connections. piped.video/watch?v=NqmMnjJ6… (Via @chrismessina!)
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To generate a seemingly infinite number of portraits in a variety of painting styles, @NVIDIA researchers developed StyleGAN2. The new model, trained on NVIDIA V100 GPUs with @TensorFlow, will be presented at #CVPR2020. Learn more here: nvda.ws/2UJ3udu
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Unveiled at #NeurIPS2018, NVIDIA trained a conditional generative neural network on existing video to create the first ever interactive neural network render. #AI rendering virtual worlds in real-time. Learn more: nvda.ws/2rfmPDW
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Is your game avatar just not understanding you? With the new #AI framework, PADL, you can more easily command your 3D characters with natural language commands. Learn more about this state-of-the-art paper here: nvda.ws/3DuIwFB
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A preview Into the future of #quantum-GPU computing: At GTC Washington, D.C., we announced NVIDIA NVQLink, an open system architecture for tightly coupling the extreme performance of GPU computing with quantum processors to build accelerated quantum supercomputers. In the expo hall, accelerated quantum computing was a centerpiece of the NVIDIA booth. See our live blog: blogs.nvidia.com/blog/nvidia…
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We're calling it Super SloMo. See how @NVIDIA researchers developed a #deeplearning method that uses #GPUs to turn any video into a slow motion masterpiece. #CVPR2018 nvda.ws/2Mr2ZPt
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Check out this #AI mobile app called @MugLifeApp trained on #GPUs that lets you bring photos to life with 3D animation. nvda.ws/2zo2ov3
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We're calling it Image Inpainting. See how @NVIDIA researchers introduced a state-of-the-art #deeplearning method that uses #GPUs to edit images or reconstruct a corrupted image in real-time. nvda.ws/2K1G243
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Announcing NVIDIA #TITANRTX: the world’s most powerful desktop GPU. Adds massive performance for AI research, data science and creative applications - on display this week at #NeurIPS2018. Learn more: nvda.ws/2rj6HRL
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We just released 3 million samples of high quality vision language model training dataset for use cases such as: 📄 optical character recognition (OCR) 📊 visual question answering (VQA) 📝 captioning 🤗 Learn more: nvda.ws/4oyfevu 📥 Download: nvda.ws/4fz2gtB
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Take a ride with NVIDIA research in the first ever interactive neural network renderer displayed at #NeurIPS2018. Read to learn more about this incredible work: nvda.ws/2G6whE6
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What happens when you combine the capabilities of @openAI's ChatGPT and #NVIDIAOmniverse? You unlock the power of #GenerativeAI. 🔓 ➡️ bit.ly/3nOS8Gh
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Ready to build an AI agent? Our new guide covers everything from agent architecture to state management with LangGraph, all powered by NVIDIA Nemotron on @openrouter. Learn advanced concepts and get started instantly with a one-click NVIDIA Launchable. 🔗 nvda.ws/468NmHt
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Jensen Huang surprises #NIPS2017 attendees by announcing the new NVIDIA #TITANV.
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🏎️ ️We accelerated @OpenAI’s new GPT open weight models -- gpt-oss-20b and gpt-oss-120b -- for leading inference performance on NVIDIA Blackwell architecture, delivering up to 1.5 million tokens per second on an NVIDIA GB200 NVL72 system.⏱️🏁 👀 Technical deep dive on how we maximized model performance with the OpenAI community including @huggingface, @ollama, and @vllm_project so you can deploy them from the Cloud to the Edge. Tech Blog ➡️ nvda.ws/4m0KzFs
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Deep learning-based 3D shape reconstruction is an open problem in AI. “Deformable Tetrahedral Meshes” presented @ #NeurIPS2020 by NVIDIA, is the first approach to showcase high-quality 3D tetrahedral meshes using only a single image as input. Learn more: nvda.ws/3gAvdXr
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📣 Announcing the release of OpenReasoning-Nemotron: a suite of reasoning-capable LLMs which have been distilled from the DeepSeek R1 0528 671B model. Trained on a massive, high-quality dataset distilled from the new DeepSeek R1 0528, our new 7B, 14B, and 32B models achieve SOTA perf on a wide range of reasoning benchmarks for their respective sizes in the domain of mathematics, science and code. The models are available on @huggingface🤗: nvda.ws/456WifL
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👀 Accelerate performance of @AIatMeta Llama 4 Maverick and Llama 4 Scout using our optimizations in #opensource TensorRT-LLM.⚡ ✅ NVIDIA Blackwell B200 delivers over 42,000 tokens per second on Llama 4 Scout, over 32,000 tokens per seconds on Llama 4 Maverick. ✅ 3.4X more performance and 2.6X lower cost compared to Hopper H200.
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🏗️ Build #3D scenes from a single input view based on the latest #NVIDIAResearch paper accepted at #ICCV2023. 👀 This 3D-aware #generativeAI model can build diverse and plausible views. research paper: nvda.ws/3OkfYmX project page: nvda.ws/3Krkxuy
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👀 Reserve your NVIDIA DGX Spark -- A Grace Blackwell AI supercomputer on your desk, capable of delivering 1000 TOPS with 128GB unified memory for inferencing up to 200B parameters. Prototype, fine-tune, and deploy with ease. 🙌 ➡️ nvda.ws/42PjjTy #SparkSomethingBig 💫
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Amazing! Researchers from @UCSF used #AI + @NVIDIA GPUs to give a paralyzed man the ability to communicate by translating his brain signals into computer generated writing. Read more: nvda.ws/3exANKm
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8x longer context using 50% less VRAM with FlexAttention! 👏 Congrats @UnslothAI on this amazing performance with OpenAI's gpt-oss and NVIDIA GPUs
OpenAI gpt-oss with ultra long context is here!🚀 Introducing Unsloth Flex Attention which enables 61K context for gpt-oss bf16 training on a 80GB GPU. Unsloth achieves 8×longer context, 50% less VRAM & 1.5×faster training vs. all implementations. 🔗docs.unsloth.ai/basics/long-…
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NVIDIA breaks 8 #AI training performance records, delivering up to 1.8x faster-time-to-train in new round of #MLPerf. Get these #DL software optimizations and models from NGC.
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Our Llama-3.1-Nemotron-70B-Instruct model is a leading model on the 🏆 Arena Hard benchmark (85) from @lmarena_ai. Arena Hard uses a data pipeline to build high-quality benchmarks from live data in Chatbot Arena, and is known for its predictive ability of Chatbot Arena Elo score as well as separability between helpful and less helpful models. Use our customized model Llama-3.1-Nemotron-70B to improve the helpfulness of LLM generated responses in your applications. 📥 Try on our API catalog: build.nvidia.com/nvidia/llam… 📥 On @GitHub: github.com/lmarena/arena-har… 📥 Or on @huggingface: huggingface.co/nvidia/Llama-…
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It's being called a game changer in animal tracking! This #AI was trained on @NVIDIA #GPUs to track the body parts of multiple species automatically. nvda.ws/2P3CqjH
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NVIDIA GET3D is a generative #AI model that can be used to populate virtual worlds with 3D objects and characters. #GTC22 Learn more: nvda.ws/3UzNS9B
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Wondering what color you should go with? @ModiFace's new #AI app trained on GPUs colorizes hair in real-time. nvda.ws/2xwg3Mo
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🎊 Our CEO Jensen Huang unveiled our new NVIDIA Project DIGITS personal AI supercomputer which enables developers across industries to prototype, fine-tune, and inference AI models on their desktop. 👀 📹 piped.video/live/k82RwXqZHY8… ➡️ nvidia.com/en-us/project-dig… Deploy locally and seamlessly scale to the data center or cloud. Powered by the NVIDIA GB10 Superchip and based on #NVIDIAGraceBlackwell. #CES2025
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Today, NVIDIA and @huggingface announced that #NVIDIADGX Cloud will integrate into the Hugging Face platform, empowering millions of developers with #generativeAI supercomputing for large language models and advanced #AI applications. #SIGGRAPH2023 ➡️ nvda.ws/45bK1UM
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“Researchers need open source. Developers need open source. Companies around the world — we need open source.” -Jensen Huang #NVIDIAGTC
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Get ready for an unforgettable keynote from NVIDIA CEO Jensen Huang, where he’ll unveil what’s next in agentic AI, robotics, and accelerated computing. 📍 October 28 at 12PM ET / 9AM PT, streaming live 🎬☕+ kick-start keynote day with the #NVIDIAGTC Live pregame show starting at 8:30AM ET. Add to your calendar: nvda.ws/4oIjWX8
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Create a personalized chatbot with the Chat with RTX tech demo. #AIonRTX Quickly get tailored info from your own files and content by connecting your data to an #LLM on RTX-Powered PCs. 📥 GeForce RTX 30 and 40 series owners can download now: nvda.ws/48iOtlz
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Announcing NVIDIA T4 Tensor Core GPU, the world’s most advanced #AI inference accelerator designed to deliver state-of-the-art #inference in real-time. #GTC18 nvda.ws/2p0fkQd
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🎵 ✨The world’s most flexible sound machine? With text and audio inputs, this new #generativeAI model, named Fugatto, can create any combination of music, voices, and sounds.🎹 Read more in our blog by @RichardKerris ➡️ blogs.nvidia.com/blog/fugatt… #NVIDIAResearch Note: Some music, sounds, and the voice of NVIDIA CEO Jensen Huang used in this video are AI generated.
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While at #OpenSourceAIWeek, @Karpathy received one of our first NVIDIA DGX Sparks, personally delivered by @NaderLikeLadder and @Baxate_carter. 🙌 Excellent work by Andrej on introducing Nanochat -- an #opensource project that makes it easy for developers to explore and train their own LLMs from scratch. We can’t wait to see what you’ll do with your Spark! #SparkSomethingBig
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🚨 GeForce RTX 5090s are available at the Gear Store in the park right now at #GTC25 90 units are available for the next 30 minutes, with more coming tomorrow. Come say hi!
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👀 We just opened over 26M lines of synthetic data that was used to train the Llama Nemotron Super v1.5 model. 🔎 This transparency into our model training also helps you build your own models -- without expending the effort and time required to produce your own datasets. 🔢 Find them on @HuggingFace 🤗 huggingface.co/datasets/nvid…
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🌟Developers - you heard it from Jensen - we want to hear your most creative ideas to rename #ProjectDIGITS, our latest AI supercomputer. 🙌 Share your ideas from profound to playful. #RenameProjectDIGITS 🍿 😃 How excited are you about putting this AI powerhouse into action?✨
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No need for expensive motion-capture hardware. #AI researchers from @NVIDIA developed a new #physics-based method to estimate and synthesize human motion models from 2D videos. Learn more: nvda.ws/324ov9p
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⚡ 3.2x higher throughput in just two weeks for even more cost-effective DeepSeek-R1 #inference. 👀 Check out DeepSeek-R1 performance gains on NVIDIA Hopper GPUs, which feature powerful FP8 Tensor Cores and high-bandwidth NVLink and NVSwitch interconnects, running SGLang by @lmsysorg.
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We’re excited to share that 🥇Llama Nemotron Super 49B v1.5 -- our latest open reasoning model -- is now #1 on the @ArtificialAnlys Intelligence Index - a leaderboard that spans advanced math, science, and agentic tasks, in the 70B open model category. Llama Nemotron Super 49B v1.5 is trained with high-quality reasoning synthetic data generated from models like Qwen3-235B and DeepSeek R1. It delivers state-of-the-art accuracy and throughput, running on a single H100. Key features: 🎯 Leading accuracy on multi-step reasoning, math, coding, and function-calling 🏗️ Post-trained using RPO, DPO, and RLVR across 26M+ synthetic examples 📊 Fully transparent training data and techniques If you're building AI agents and want a high accuracy, fully-open, and transparent reasoning model that you can deploy anywhere, try Super v1.5 on nvda.ws/4lLMYE1 or download from Hugging Face 🤗 nvda.ws/3U110Wf ➡️ Leaderboard: nvda.ws/41cs3Se
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Is your 3D character phasing, glitching, or clipping through objects? This #NVIDIAResearch #AI approach takes physics-based character motion generation and teaches the character how to realistically interact with objects & the environment. #SIGGRAPH2023 nvda.ws/44XodMl
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.@NVIDIA’s viral real-time AI art sensation #GauGan just won a 2019 @PopSci Magazine “Best of What’s New Award” in the engineering category. Developed by NVIDIA researchers in 2019, GauGAN is the first AI model that can produce complex images with only a few brushstrokes.
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⏱️ DYK you can pre-train your own model in just 4 hours with Nanochat? We loved Nanochat from @karpathy so much that our engineers built a ready-to-go GPU-provisioned Launchable to easily train your own LLM. 👀 The first 10 devs to deploy will receive free access to NVIDIA H100 or L40S GPUs to train their own GPT-2–style model. ➡️ blogs.nvidia.com/blog/open-s… #OpenSourceAIWeek
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🎉Just released: Eureka!, a new AI agent that uses LLMs to automatically generate algorithms to train robots to accomplish complex tasks. 👀 The #NVIDIAResearch paper includes the AI algorithms and how to experiment with Eureka using NVIDIA Isaac Gym. 👇 nvda.ws/3PWKlk4
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Director of Research, @AnimaAnandkumar, takes us behind the scenes of NVIDIA's new core #AI & machine learning research lab to share some challenges in algorithmic research her team hopes to tackle. Stop by to meet her in person next week at #NeurIPS2018. nvda.ws/2KJFcd1
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At #NeurIPS2018, @datametrician shares how the new NVIDIA #TITANRTX provides a great entry point for developers and data scientists and the flexibility to experiment on larger datasets. Learn more about how to leverage TITAN RTX with @rapidsai: nvda.ws/2FVOWC7
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The new NVIDIA Ampere architecture delivers the unmatched acceleration at every scale with faster performance for HPC, AI and data analytics workloads. Get an in-depth look on the NVIDIA Ampere Architecture: nvda.ws/2Wv2RWo #GTC20
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With NVIDIA AI playground, you can now experience NeVA, a multi-modal vision language model, directly from your browser. Just upload an image to NeVA model and ask questions related to the image. #generativeai nvda.ws/459gTxw
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Watch how @OpenAI uses #deeplearning and @NVIDIA #GPUs to train robots to grasp and manipulate real-world objects with human-like dexterity. nvda.ws/2v3QBxV
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🎉 Congratulations @IBM on the launch of your new Granite 4.0 family of open LLMs. 🙌 Granite 4.0’s design for maximum efficiency, trust and security is a perfect match for secure, production-ready deployment on any NVIDIA accelerated infrastructure with NIM. Get started with Granite 4.0 -- now available on NVIDIA NIM ➡️ build.nvidia.com/nvidia/brin…
The next generation of open-source AI is here. Meet IBM Granite 4.0. We've engineered these open, performant and trusted small language models to solve key enterprise challenges. Discover how Granite 4.0 delivers exceptional performance while requiring only a fraction of the resources: ibm.co/6019BJqJP
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👀 The latest SGLang inference optimizations on DeepSeek-R1 represent a 26x increase in H100 performance in only 4 months. 📈 🎉 Congrats to the @lmsysorg team.
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.@NVIDIA researchers just developed a #GPU-accelerated reinforcement learning simulator that can teach a virtual robot human-like tasks in record time. #Corl18 nvda.ws/2AB7a7t
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📣 Announcing Llama Nemotron Super v1.5 📣 This release pushes the boundaries of reasoning model capabilities at the weight class of the model and is ready to power agentic applications from individual developers, all the way to enterprise applications. 📈 The Llama Nemotron Super v1.5 achieves leading reasoning accuracies for science, math, code, and agentic tasks while delivering up to 3x higher throughput. Try it on build.nvidia.com, or download from @huggingface: 🤗 huggingface.co/nvidia/Llama-… Tech blog: developer.nvidia.com/blog/bu…
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Congrats @AnimaAnandkumar for receiving the 'VB Women in AI' award in the AI Research category. Fellow NVIDIA researchers @FidlerSanja, and @SifeiL, were also among the 21 leaders nominated for #VBTransform awards. nvda.ws/2Ce3Frj
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Creativity unleashed 👨‍🎨🎨✨ 👀 Edify3D from #NVIDIAResearch explores a new way to generate text-to-#3D images. 📗 Project page: research.nvidia.com/labs/dir… 📝 Paper: arxiv.org/abs/2411.07135 🔊 sound on
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We are so honored. NVIDIA DGX Spark was just named one of @TIME's Best Inventions of 2025 🏆 Our new desktop AI supercomputer will deliver an unprecedented 1 petaflop of AI compute, right to your workspace, making state-of-the-art AI more accessible than ever. 🙌 We can’t wait to see what innovators build ... stay tuned for updates. time.com/collections/best-in… #SparkSomethingBig
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New York City-based startup @TheTake_AI, a member of @NVIDIA’s Inception program, recently unveiled a new #deeplearning algorithm that can automatically decode what a celebrity, athlete, or other public figure is wearing in a video in near real time. nvda.ws/2InkwJv
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🎓 Ready to earn your NVIDIA Generative AI Certification? Watch the on‑demand webinar to explore exam prep strategies, sample questions, and expert insights to help you ace the new professional‑level Agentic AI and Generative AI LLM certifications. ➡️ Watch now: nvda.ws/48Y27yz
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🎊 Llama Nemotron Ultra 253B is here 🎊 ✅ 4x higher inference throughput over DeepSeek R1 671B 🏆Highest accuracy on reasoning benchmarks: 💎 GPQA-Diamond for advanced scientific reasoning 💎 AIME 2024/25 for complex math 💎 LiveCodeBench for code generation and completion Try as #NVIDIANIM ➡️ build.nvidia.com/nvidia/llam… Technical deep dive ➡️ developer.nvidia.com/blog/bu…
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A new @NVIDIA Jetson-based autonomous robot by @doxel_ai captures 3D scans of construction sites to inspect the quality of the work and tracks the progress of the project. nvda.ws/2rNVE6v
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Trained on 50,000 episodes of PAC-MAN with @NVIDIA V100 GPUs, this new GAN model developed by NVIDIA Researchers from our Toronto lab, generates a fully functional version of the dot-munching classic without an underlying game engine, just #AI #pacman40th nvda.ws/2LPBsZ6
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⚡ We just accelerated output of @OpenAI’s gpt-oss-120B by nearly 2x 👀 In collaboration with @ArtificialAnlys, we demonstrated impressive performance of OpenAI's gpt-oss-120B on a DGX B200 system with 8xB200: ⚡️ Nearly 900 output tokens/s in single query tests ⚡️ Close to 600 output tokens per second per user for 10 users at once — about 6,000 total tokens/second Using TensorRT-LLM with speculative decoding, our #NVIDIABlackwell hardware natively supports FP4 precision. Single B200 DGX deployments achieved 900 tokens/s in single query tests. We are currently working with many of our end-point partners to run more tests on NVIDIA H100, H200, and B200 systems with Artificial Analysis. Stay tuned for results…
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NeMo Guardrails, the new toolkit for easily developing trustworthy LLM-based conversational applications. It works with all #LLMs and natively supports @langchain, adding a layer of safety, security, and topical guardrails to existing applications. ➡️ bit.ly/3LpW3mi
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We just launched new open models and datasets to make AI research and development more accessible 🤝 You now have open foundations to build specialized intelligent agents faster, safer, and at scale — from Nemotron to Cosmos, Isaac GR00T to Clara. Over 650 open models and 250 open datasets contributed by NVIDIA are now available on @huggingface. Learn more → nvda.ws/4hwUVvB
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A new #GenerativeAI method by NVIDIA researchers uses off-the-shelf, pre-trained latent diffusion models (LDMs) to turn image generators into high-resolution video generators. Project Site: nvda.ws/3MVNUHn Paper: nvda.ws/3Lk3uLS
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Just released: 3D DL researchers can build on the latest algorithms to simplify and accelerate workflows using Kaolin PyTorch Library. Learn more: nvda.ws/3zKvgsD
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This year at #NeurIPS2018, NVIDIA and @aivatechnology collaborated on a brand new #AI-composed song honoring legendary rock band Queen by training a deep learning-based system on hundreds of rock songs. nvda.ws/2BVK6AY
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Explore one of the most critical components making “the world’s largest GPU” a reality - learn how NVSwitch integrates 16 GPUs to deliver NVIDIA #DGX-2: the world’s first 2 petaFLOPS #AI system. nvda.ws/2LeiloD
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Capture, Render, Win Announcing the #InstantNeRFVR Contest 🎉 Read more about how to create an immersive scene with our new #InstantNeRF VR software for a chance to win an NVIDIA GeForce RTX 3090 Ti graphics card. ➡️ nvda.ws/3Rk7opc
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For the first time, @UCSF researchers trained and implemented a deep learning model on @NVIDIA #GPUs that can convert brain signals into speech. The work has the potential to one day help people who can't talk communicate. nvda.ws/2VBsTrk
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Amazing! @UWaterloo researchers are using #AI + an @NVIDIA GPU to develop autonomous exoskeleton legs to help users walk, climb stairs, and avoid obstacles. Read how: nvda.ws/2PpqmPy
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👀 @AIatMeta Llama 3.1 405B trained on 16K NVIDIA H100s - inference is #TensorRT #LLM optimized⚡ 🦙 400 tok/s - per node 🦙 37 tok/s - per user 🦙 1 node inference ➡️ nvda.ws/3LB1iyQ
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📣 Introducing FoundationPose, a unified foundation model for 6D object pose estimation and tracking for novel objects from #NVIDIAResearch. See the details below. 🧵 👇
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🖼️ Ready for next-level image generation? @bfl_ml's FLUX.1 image generation model suite -- built on the Diffusion Transformer (DiT) architecture, and trained on 12 billion parameters -- is now accelerated by #TensorRT and runs the fastest ⚡️on NVIDIA RTX AI PCs. 🙌 Learn more ➡️ blogs.nvidia.com/blog/ai-dec… #AIDecoded
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🛠️ Fine-tune gpt-oss and deploy in FP4 Directly fine-tuning ultra-low precision models like gpt-oss in MXFP4 can potentially jeopardize model performance. In our latest blog, we share a reproducible fine-tuning + quantization-aware training (QAT) recipe that adapts gpt-oss to downstream tasks and restores the model to 4-bit precision for optimized inference deployment. 🔹 Step-by-step QAT breakdown with code examples 🔹 Benchmarks showing post fine-tuning + QAT task specific performance 🔹 How NVFP4 on NVIDIA Blackwell can push accuracy even further The full recipe is available in the NVIDIA Model Optimizer repository so you can try it on your own 📖 Read the blog: nvda.ws/4p07Mts
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🧠 AI reasoning is here: 3 key scaling laws are changing the world of #AI: 1️⃣ Pretraining scaling = bigger data, better performance 2️⃣ Post-training scaling = fine-tuning for precision 3️⃣ Test-time scaling (long thinking) = multi-pass reasoning for complex problems Here’s what you need to know ➡️ nvda.ws/4hTI7hQ
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Erik Lindahl from @Stockholm_Uni, John Stone from @Illinois_Alma, and Jim Phillips from @NCSAatIllinois join us at #SC18 to celebrate some of the major developer milestones in GPU-accelerated #HPC and #deeplearning history. nvda.ws/2K33nTB
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So many innovative robotics on the show floor here at #GTC25 🤖 Check out this articulating hand for complex industrial tasks from @SCHUNKInc
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Prototype, fine-tune, and deploy with ease. 🙌 NVIDIA DGX Spark, your own personal AI supercomputer. ✅ 1 petaFLOP ✅ 128GB of coherent, unified system memory ✅ ConnectX-7 Smart NIC ✅ Up to 4TB Storage ✅ 150mm L x 150mm W x 50.5mm H Reserve yours now ➡️ nvda.ws/44IBhb1
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Prototype, fine-tune, and deploy with ease 🙌 with NVIDIA DGX Spark, your own personal AI supercomputer. ✅ 1 petaFLOP ✅ 128GB of coherent, unified system memory ✅ ConnectX-7 Smart NIC ✅ Up to 4TB Storage ✅ 150mm L x 150mm W x 50.5mm H ⏰ Reserve yours now ➡️ nvda.ws/47iaC6A Get ready to #SparkSomethingBig 💫
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🎉 Congrats to our #NVIDIAResearch team for winning 🏆 1st Place and the 🏆 Innovation Award for the #CVPR2023 #3D Occupancy Challenge. Their 3D object detection method substantially improved performance in comparison to prior approaches. Read the paper: nvda.ws/3CoXTym
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We recently open sourced the NVIDIA Nemotron Nano 9B v2 model (along with the data, and the technical report to recreate it). We've also released the intermediate checkpoint, Nemotron Nano 12B v2, that was distilled into what would eventually become Nano 9B v2. Read more here: nvda.ws/3HEsG0z Check out the model on Hugging Face: nvda.ws/4mGhu2t
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Watch how @UCBerkeley researchers used @NVIDIA #GPUs and reinforcement learning to train simulated characters to perform acrobatic moves by watching humans. nvda.ws/2OY1lc2
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"By making @AIatMeta Llama models open source, we're committed to democratizing access to cutting-edge AI technology. With Project DIGITS, developers can harness the power of Llama locally, unlocking new possibilities for innovation and collaboration.” -- @Ahmad_Al_Dahle, VP, GenAI at Meta
Announcing NVIDIA Project DIGITS, a personal AI supercomputer that’s powered by the NVIDIA GB10 Superchip and based on #NVIDIAGraceBlackwell architecture. nvda.ws/4fLyTm3 Preconfigured with the NVIDIA AI software stack, developers, researchers, data scientists and students can prototype, fine-tune and inference large AI models on their desktop and deploy them to the data center or cloud. #CES2025
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🙌 7 Python drop-in replacements for massive GPU speedups—no code rewrites required: pandas → %load_ext cudf.pandas polars → .collect(engine="gpu") scikit-learn → %load_ext cuml.accel xgboost → device="cuda" umap → %load_ext cuml.accel hdbscan → %load_ext cuml.accel networkx → %env NX_CUGRAPH_AUTOCONFIG=True 📝 Full blog with example demos + Colab notebooks: nvda.ws/3U5Cl2N
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ICYMI: 👀📸 How NeRFs will help to re-imagine the world, an insightful blog by our community member @franclucent. "The amount of applications are truly limitless, and I see it long term being the evolution of modern photography." #InstantNeRF ➡️ bit.ly/3WgGIs8
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A team of researchers from @UCSF just trained a #deeplearning system on @NVIDIA #GPUs to detect Alzheimer's disease years before an actual diagnosis. nvda.ws/2AVb5vY
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We partnered with @huggingface to launch inference-as-a-service, which helps devs quickly prototype with open-source AI models hosted on the Hugging Face Hub and deploy them in production. ➡️nvda.ws/4bZ34EA
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Microsoft today announced a breakthrough in conversational AI, training the largest transformer-based language generation model, based on over 17 billion parameters, using @NVIDIA DGX-2 systems.
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