moved to SF and now i have to ask whether “partner” means romantic, business, or venture

Exciting day for NVIDIA and @huggingface. Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty. They allow every developer, startup, university, industry and country to build with, customize and benefit from AI. Thank you @ClementDelangue for coming to me. NVIDIA is going to be a great home for Hugging Face, its community and the future of open models. 🤗 blogs.nvidia.com/blog/nvidia…

A new episode of Arena Conversations is dropping tomorrow at 9 AM ET / 6 AM PT: Featuring @ctnzr, the VP of Applied Deep Learning Research at @NVIDIAAI! With @petergostev, they unpack the role of specialized teacher models in building stronger capabilities, the growing inference challenge in post-training, the importance of open source models, and what it all means for NVIDIA and how they build Nemotron. Stay tuned tomorrow, August 24th.

my second dgx spark just landed, with connectx cable and all. and here's the part that still doesn't feel real: @NVIDIAAI sent both. i'm a solo builder in bangkok who started on a used rtx 3090, posting into the void about local ai and ownership for a year. i didn't have a lab, a team, or a budget. i just refused to stop showing up. and somewhere along the way, nvidia noticed. that's the lesson i keep learning in public man! they listen. just keep building, keep posting, keep putting the real thing out there, and the right people eventually see it. thank you @nvidia and goat @Coolmark482 for backing independent builders, this is the hardware that lets one person compete with a giant. two sparks down anon. you already know where this is going.

It's not time to slow down but to accelerate! The recent AI-powered cyberattacks have everyone talking about the risks of AI. We should. But let's not lose sight of the bigger picture! If we work hard at it, AI will make the world safer, not less safe, just as most major technologies have. We've already seen a glimpse of that: we defended ourselves with AI (more specifically an open model). The same systems that helped stop an AI-powered cyberattack can now help defend against millions of cyberattacks every day, while helping us identify and fix vulnerabilities before attackers exploit them. To get there, we need three things in my opinion: - Increase transparency with mandatory trace sharing and incident disclosure for agent cyber-attacks - Keep AI-powered cyberattacks illegal, with meaningful penalties to disincentivize them - Equip defenders with the best AI, especially open models, to reduce the asymmetry of capabilities between attackers and defenders If we get those three things right, AI won't just create new cybersecurity challenges, it will make cybersecurity fundamentally and meaningfully stronger. And that's before considering AI's impact on science, healthcare, education, productivity, and much more. It's not time to slow down but to accelerate!

We got attacked by secret unreleased proprietary models and defended ourselves with an open model, more precisely the @nvidia quantized version of GLM 5.2 coming from @Zai_org. Banning any open model would hurt first cyber security defenders, startups, small companies, researchers and everyone who's not a frontier lab and need on-prem affordable controlable models to compete and protect themselves. Let's not do that!

AI security advances when the industry builds in the open, together. We're introducing the Open Secure AI Alliance with industry leaders to develop new techniques and tools to safeguard software and agents. By sharing models, tooling and research in the open, we can broaden the community of defenders. Learn more about the founding members’ contributions: nvda.ws/4pD8Fc5

For my first post, I’m sharing a letter @NVIDIA signed on why open models matter. AI will transform every industry, power every company, and be built by every country. Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty. The world needs both frontier closed models and frontier open models. images.nvidia.com/pdf/Open-W…

WOW, an important release from NVIDIA 🔥 NVIDIA Model Optimizer 0.45.0 is out — big upgrades for everyone, but especially exciting for MoE models with NVFP4 quantization! Key benefits for MoE quantization: ✨ New “active experts” mode in AutoQuantize — now understands only some experts run at a time, for smarter mixed-precision choices ✨ Better quantization for DeepSeek-style models + easy exact MXFP4 → NVFP4 conversion for routed experts ✨ New W4A16 NVFP4 weight-only mode (no calibration needed) — huge memory savings while keeping good quality ✨ Improved calibration & KV-cache options tailored for MoE models Should result in higher-quality NVFP4 MoE models, lower memory use, and better throughput on Blackwell with almost no accuracy loss! This might fix the issues I'm having with Qwen3.6-35b NVFP4 if they are generous enough to update it. Full notes: github.com/NVIDIA/Model-Opti…

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 enterprises building with open source.

Announcing NVIDIA Nemotron 3 Super! 💚120B-12A Hybrid SSM Latent MoE, designed for Blackwell 💚36 on AAIndex v4 💚up to 2.2X faster than GPT-OSS-120B in FP4 💚Open data, open recipe, open weights Models, Tech report, etc. here: research.nvidia.com/labs/nem… And yes, Ultra is coming!