Image created with gemini-2.5-flash-image with claude-sonnet-4-5. Image prompt: Create a 16:9 cinematic split-screen poster. LEFT SIDE (40% width): – A workbench with several GPU cards laid out, some partially disassembled to show heatsinks and fans, with a small screwdriver and thermal paste nearby. – The background is a turquoise / teal abstract field made of stylized blue rods or data fibers, hinting at massive parallel computation. – Use neutral, realistic bench lighting. Do not bathe the scene in green light; avoid glowing effects and neon. RIGHT SIDE (60% width): – A green-toned abstract aerial forest canopy texture, connecting raw compute to environmental awareness. – Two clean rounded rectangles stacked vertically near the center-right. – The TOP rectangle contains the text: “NVIDIA”. – The BOTTOM rectangle contains the text: “2025/10/10”. – Clean sans-serif font in dark green or charcoal. OVERALL STYLE: – Physical, detailed, and grounded, not flashy. – No logos or product names. – Maintain the turquoise/forest split-screen.
5 things: Nvidia’s Huang on the state of the AI race with China https://www.cnbc.com/2025/10/08/nvidia-huang-ai-race-china-us-trump.html
Even after Stargate, Oracle, Nvidia, and AMD, OpenAI has more big deals coming soon, Sam Altman says | TechCrunch https://techcrunch.com/2025/10/08/even-after-stargate-oracle-nvidia-and-amd-openai-has-more-big-deals-coming-soon-sam-altman-says/
Musk’s xAI nears $20 billion capital raise tied to Nvidia chips, Bloomberg News reports https://finance.yahoo.com/news/musks-xai-nears-20-billion-232913241.html
Big shoutout to the @vllm_project team for an exceptional showing in the SemiAnalysis InferenceMAX benchmark on NVIDIA Blackwell GPUs 👏 Built through close collaboration with our engineers, vLLM delivered consistently strong Blackwell performance gains across the Pareto”” / X https://x.com/NVIDIAAIDev/status/1976686560398426456
Every Together Instant Cluster is stress-tested for reliability: burn‑in → NVIDIA NVLink checks → NCCL all‑reduce validation. ✅ https://x.com/togethercompute/status/1975965240144888301
Happy that InferenceMAX is here because it signals a milestone for vLLM’s SOTA performance on NVIDIA Blackwell! 🥳 It has been a pleasure to deeply collaborate with @nvidia in @vllm_project, and we have much more to do Read about the work we did here: https://x.com/mgoin_/status/1976452383258648972
Nvidia B200s are now available in @huggingface Inference Endpoints! The world needs more compute 😅😅😅 https://x.com/ClementDelangue/status/1975266333949604237
Excited to partner with AMD to use their chips to serve our users! This is all incremental to our work with NVIDIA (and we plan to increase our NVIDIA purchasing over time). The world needs much more compute…”” / X https://x.com/sama/status/1975185516225278428
Two visionaries in robotics are joining forces this Tuesday at 10 AM PT. ⭐ @DrJimFan x @drfeifei They’ll dive into BEHAVIOR, a groundbreaking new benchmark reshaping the future of embodied AI. Come ready to learn, get inspired, and ask your biggest questions. 💡 🗓️ Add to https://x.com/NVIDIARobotics/status/1975367246265414071
🚀 TensorRT-LLM hit its v1.0 milestone — a culmination of 4 years of architecture pivots, cross-continent teamwork, and relentless optimization at NVIDIA. What started as a small team optimizing ONNX runtime has grown into a full-scale, PyTorch-native inference system powering https://x.com/ZhihuFrontier/status/1974559265273639349
