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LocateAnything: Fast and High-Quality Vision-Language Grounding with Parallel Box Decoding
https://research.nvidia.com/labs/lpr/locate-anything/
Jensen Huang Says It Won’t Matter What You Study in the Age of AI – Business Insider
https://www.businessinsider.com/nvidia-jensen-huang-what-kids-should-study-ai-education-advice-2026-5
How did Tensor Cores massively increase the throughput of Nvidia chips? @reinerpope explains the fundamental idea, systolic arrays:
https://x.com/dwarkesh_sp/status/2058624353965908245
@teortaxesTex Jensen tried to warn them – of the 50x increase from Hopper to Blackwell, <2x was process scaling. The rest was optimizations at other levels. Those other optimizations are just as accessible to Huawei. No EUV required.
https://x.com/josiah_leee/status/2059297861745963099
Another cool stuff from NVIDIA. LocateAnything – high-speed visual search engine. You provide a text prompt and it instantly pinpoints that object’s exact location in an image. – 10x speedup for dense object detection – Qwen2.5-3B + Moon-ViT – Fast/Slow/Hybrid modes – trained
https://x.com/wildmindai/status/2059600079804088790
Are we nearing a compute crunch? In our latest Gradient Update, @luke__emberson and @Jsevillamol estimate how many tokens all the Blackwell chips on Earth could serve, and compare this to total token demand. Direct comparisons are difficult, but it appears demand is growing much
https://x.com/EpochAIResearch/status/2059372951338909717
Extract More Kernel Performance with NVIDIA CompileIQ Auto-Tuning | NVIDIA Technical Blog
https://developer.nvidia.com/blog/extract-more-kernel-performance-with-nvidia-compileiq-auto-tuning/
OpenMDW-1.1 is now available — and @NVIDIAAI is adopting it across Cosmos, Isaac GR00T, Ising, and Nemotron model families. A permissive, unified legal framework purpose-built for AI models. Learn more at
https://x.com/linuxfoundation/status/2060031693193462036
Official @NVIDIAAI GLM5.1-NVFP4 spotted on @huggingface 🤩
https://x.com/mr_r0b0t/status/2059973066436853769
Nvidia bets $150B on Taiwan as Trump’s plan to make US an AI hub backfires – Ars Technica
https://arstechnica.com/tech-policy/2026/05/nvidia-ceo-wants-taiwan-to-be-center-of-ai-revolution-not-us/
We’re adopting the Linux Foundation’s OpenMDW framework across our open model families. This helps make open model licensing simpler and more consistent at scale. A single legal framework across models, code, documentation, and data helps reduce friction for developers and
https://x.com/NVIDIAAI/status/2060035668655677804
@Jason the two US companies that are most seriously pushing open models above 100B params are NVIDIA and Arcee
https://x.com/willccbb/status/2060122252931412034
Key takeaways from NVIDIA’s quarterly earnings call last week: – Physical AI revenue >$9B over the trailing 12 months. – Edge computing platform (robotics, automotive, AI RAN, workstations) hit $6.4B, +29% YoY. – Asked if NVIDIA can outgrow hyperscalers (whose CapEx is
https://x.com/TheHumanoidHub/status/2059324196128534623
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