👓 Generate accurate depth maps using our FoundationStereo technology and Meta's Aria Gen2's stereo cameras. At #ICCV2025, we are co-presenting how to bring robust 3D perception to edge devices for the future of physical AI. 📝 See the blog from Meta to learn more: https://lnkd.in/gF_3niCs ➡️ Register for the tutorial at ICCV: https://lnkd.in/g6ZJdQDk
About us
Explore the latest breakthroughs made possible with AI. From deep learning model training and large-scale inference to enhancing operational efficiencies and customer experience, discover how AI is driving innovation and redefining the way organizations operate across industries.
- Website
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http://nvda.ws/2nfcPK3
External link for NVIDIA AI
- Industry
- Computer Hardware Manufacturing
- Company size
- 10,001+ employees
- Headquarters
- Santa Clara, CA
Updates
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While at #OpenSourceAIWeek, Andrej Karpathy received one of our first NVIDIA DGX Sparks, personally delivered by Nader Khalil and Carter Abdallah. 🙌 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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⏱️ DYK you can pre-train your own model in just 4 hours with Nanochat? We loved Nanochat from Andrej 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. ➡️ https://lnkd.in/eFMUCkPH #OpenSourceAIWeek
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✨ From prototype to production, the new NVIDIA DGX Spark puts GB10 Superchip performance in your hands. Compact. 4 TB ready. Game-changing speed to run your LLMs locally. Available here ➡️ https://nvda.ws/4nTkRUq #SparkSomethingBig ✨
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NVIDIA AI reposted this
✨ Last week, Jensen made a special trip to OpenAI, to personally deliver NVIDIA DGX Sparks to Sam Altman, and team. We are honored to share this milestone in AI -- bringing AI supercomputing to the desktop with OpenAI. “DGX-1 launched the era of AI supercomputers and unlocked the scaling laws that drive modern AI. With DGX Spark, we return to that mission — placing an AI computer in the hands of every developer to ignite the next wave of breakthroughs.” - Jensen Huang Today’s the day to #SparkSomethingBig as devices are now shipping. ➡️ https://nvda.ws/48WZCwz
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NVIDIA AI reposted this
Founder @ SwirlAI • UpSkilling the Next Generation of AI Talent • Author of SwirlAI Newsletter • Public Speaker
AI Supercomputer on my desk! 𝗡𝗩𝗜𝗗𝗜𝗔 𝗗𝗚𝗫 𝗦𝗽𝗮𝗿𝗸 has arrived and I finally got my hands on one of these beasts a few days ago. A quick reminder why it is a big deal: 🚀 NVIDIA GB10 Grace Blackwell Superchip. 💾 128 GB of Unified System memory - you can run models with up to 200 billion parameters on GPU locally! ☁️ Supports the same software stack that runs on datacenter GPUs - build on NVIDIA DGX Spark, deploy to cloud seamlessly. 𝗙𝗶𝗿𝘀𝘁 𝗶𝗺𝗽𝗿𝗲𝘀𝘀𝗶𝗼𝗻𝘀. 𝘏𝘦𝘳𝘦 𝘪𝘴 𝘸𝘩𝘢𝘵 𝘴𝘵𝘰𝘰𝘥 𝘰𝘶𝘵 𝘢𝘧𝘵𝘦𝘳 𝘴𝘰𝘮𝘦 𝘵𝘦𝘴𝘵𝘪𝘯𝘨. After some early testing, what really stood out was how smooth the 𝗗𝗲𝘃𝗘𝘅 is: ✅ Everything just works out of the box. ✅ NVIDIA Sync enables remote work on the machine as if I was running everything on my laptop. ✅ Tons of advanced examples that can be easily adjusted for your own workloads. 𝘐𝘯 𝘭𝘦𝘴𝘴 𝘵𝘩𝘢𝘯 𝘵𝘸𝘰 𝘥𝘢𝘺𝘴 𝘰𝘧 𝘵𝘦𝘴𝘵𝘪𝘯𝘨 𝘐 𝘸𝘢𝘴 𝘢𝘣𝘭𝘦 𝘵𝘰: ⚡ Run gpt-oss-120b on the device with as much as ~30 tokens/s throughput. Moved one of my projects to run locally on the device using the model endpoint. 🤖 Migrate two of my multi-agent projects to run on device using LLMs deployed on the machine. Currently fine-tuning performance with new models in the background 𝘞𝘩𝘢𝘵’𝘴 𝘯𝘦𝘹𝘵: 🕐 I have few projects lined up that require fine tuning of reasonably large models, can’t wait to try the machine for this use case. Want to get your own? 👉 https://nvda.ws/47nDdqG Huge shout-out to NVIDIA AI for the collaboration and support! #LLM #AI #DGXSpark
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🙌 PyTorch is powering AI worldwide -- with 2M+ downloads in a single day and 65M+ last month -- and growing. We created CUDA Python to connect Python code with highly optimized GPU libraries, enabling developers to leverage hundreds of millions of NVIDIA SDK packages every month—mostly in Python and PyTorch -- to drive innovation across industries. See it in action at #PyTorchCon ➡️ https://nvda.ws/4qnqnAw
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🤝 Open. Collaborative. Scalable. NVIDIA Nemotron gives developers the data + tools to build smarter, faster AI models, together. Go see what’s possible with open-source AI at #OpenSourceAIWeek 👉 https://nvda.ws/4q7DKo6
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Are you ready to push the boundaries of AI? This isn't just a hackathon—it's your chance to unleash the power of Agentic AI and show the world what's possible. 👇
The Agentic AI Unleashed Hackathon is now live 🏆⚡⏰ https://lnkd.in/e58xfRpm NVIDIA & #AWS are giving you the tools to build faster, smarter, & better. This is your chance to ship a real-world project, prove your skills with cutting-edge tech, & compete for prizes. Hosted on Devpost; submissions due November 3, 2025. #agenticAI #AmazonSageMakerAI
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3 million downloads and counting 📈 We owe a huge thank you to the AI community for making Llama Nemotron Nano VL 8B a favorite. 🤗 Try now on Hugging Face: https://nvda.ws/3Jat4oa Get a technical breakdown of the model: https://nvda.ws/4nXIviP
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