Image created with gemini-2.5-flash-image with claude-sonnet-4-5. Image prompt: Cinematic movie title card showing ‘NVIDIA’ in bold white sans-serif text against a vast starry night sky above a dark prairie field with subtle emerald green underglow, faint geometric circuit pattern texture in stars, widescreen composition, film grain, deep navy and black tones with soft green accent lighting from below.
Nvidia says its GPUs are a ‘generation ahead’ of Google’s AI chips https://www.cnbc.com/2025/11/25/nvidia-says-its-gpus-are-a-generation-ahead-of-googles-ai-chips.html
We’re delighted by Google’s success — they’ve made great advances in AI and we continue to supply to Google. NVIDIA is a generation ahead of the industry — it’s the only platform that runs every AI model and does it everywhere computing is done. NVIDIA offers greater”” / X https://x.com/nvidianewsroom/status/1993364210948936055?s=20
Alibaba and ByteDance allegedly train Qwen and Doubao LLMs using Nvidia chips, despite export controls — Southeast Asian data center leases skirt around U.S. chip restrictions | Tom’s Hardware https://www.tomshardware.com/tech-industry/semiconductors/chinas-top-ai-firms-shift-model-training-overseas-to-access-nvidia-gpus
China’s tech giants move AI model training overseas to access Nvidia chips, FT reports https://finance.yahoo.com/news/chinas-tech-giants-move-ai-052307498.html
NVIDIA CFO on the Q3 call: “”Physical AI is already a multibillion dollar business addressing a multitrillion dollar opportunity, and the next leg of growth for NVIDIA. Leading US manufacturers and robotics innovators are leveraging NVIDIA’s three computer architecture: to train https://x.com/TheHumanoidHub/status/1991555789778276417
This NVIDIA paper just broke my brain. Everyone keeps talking about scaling transformers with bigger clusters and smarter optimizers… meanwhile NVIDIA and Oxford just showed you can train billion-parameter models using evolution strategies a method most people wrote off as https://x.com/rryssf_/status/1993672852206444675
Nvidia reportedly no longer supplying VRAM to its GPU board partners in response to memory crunch — rumor claims vendors will only get the die, forced to source memory on their own | Tom’s Hardware https://www.tomshardware.com/pc-components/gpus/nvidia-reportedly-no-longer-supplying-vram-to-its-gpu-board-partners-in-response-to-memory-crunch-rumor-claims-vendors-will-only-get-the-die-forced-to-source-memory-on-their-own
Four accused in black-market scheme to smuggle hundreds of Nvidia GPUs to China–while raking in millions | Fortune https://fortune.com/2025/11/20/nvidia-chips-china-smuggle-ai/
We’ve raised $50 million in Series A funding from DST Global Partners, @nvidia (NVIDIA’s venture capital arm), @redalpine , @prosusventures , and @Moonfire_VC , following our $7.35M seed round from @frst_vc , @Moonfire_VC , and @redalpine just a few months earlier, to build the https://x.com/FlexionRobotics/status/1991523176728449268
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