How are neural rendering, world models, and AI-driven simulation transforming the future of computer graphics?
Find out at the NVIDIA Sponsored Keynote at SIGGRAPH 2026. NVIDIA Research and Engineering leaders Jan Kautz, Ming-Yu Liu, and David Luebke will share recent research
NVIDIA
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The official handle for NVIDIA. Blog: blogs.nvidia.com Support: nvda.ws/2ei5pio All our social media: nvda.ws/2wmlfGB
- NVIDIA repostedThe future of AI is built here — and it's coming back. NVIDIA GTC returns to San Jose, CA, March 15–18, 2027. Agentic AI. Physical AI. Expert-led sessions, hands-on workshops, and Jensen Huang's signature keynote — all in one place. Don't just watch AI evolve. Experience it. Get
- Water usage has been a hot topic in the AI data center world, but the numbers may surprise you. According to the Manhattan Institute, data centers use 0.2 percent of daily water usage in the U.S. and that number has dramatically decreased in the past few years due to a new
00:00 - NVIDIA repostedScience at the speed of light. 🧪🌌 Unveiled at #ISC26, new CUDA-X software (cuPhoton, DAQIRI, and ALCHEMI) that turns days of research into real-time insights. From a 15,000x boost in telescope data analysis to accelerated materials discovery, we’re helping scientists unlock
- NVIDIA reposted💡 Connecting quantum systems across Europe brings GPUs within microseconds of qubits — unlocking real-time calibration, feedback, and error correction — with NVQLink playing a huge role. Leaders across modalities are moving fast: ✅ @Alice__Bob is advancing superconducting cat
- At VivaTech, we're sharing how France is turning AI ambitions into production reality. AI factories are coming online, open models are advancing, and agents are being deployed across industries, including healthcare, telecommunications, manufacturing, energy, and retail. From
- Registration for #NVIDIAGTC Berlin is now open. ✨ October 20–22, join the global AI community for expert-led sessions, hands-on training, and insights on how AI is transforming every industry. Hear from NVIDIA CEO Jensen Huang, explore what's next across the AI stack, and
- Thanks @satyanadella 👏 Great work with @Azure on one of the largest MLPerf Training submission to-date on NVIDIA Blackwell: 8,192 GPUs on NVIDIA GB200 NVL72 systems, Llama 3.1 405B training target met in only 7.07 minutes. More to come!New Azure milestone. The fastest time to train yet at the largest reported scale for this leading AI training benchmark. A great example of what is possible when we bring together full-stack innovation across silicon, systems, networking, and software, along with our deep
- AI infrastructure runs on more than compute. It runs on light. Today in Sherman, Texas, Jensen Huang joined @CoherentCorp CEO Jim Anderson and local leaders to mark the expansion of U.S. manufacturing capacity for advanced photonics. The technology is behind the lasers andRead more on how Coherent’s Sherman expansion is helping build the American manufacturing base behind the AI era:
- The NVIDIA Blackwell platform just swept MLPerf Training 6.0, delivering fastest performance and largest scale. Beyond the benchmarks, capabilities like the Reliability, Availability, and Serviceability Engine and NVIDIA Resiliency Extension deliver fewer interruptions and
00:00Learn how the NVIDIA platform and ecosystem enable AI model builders to launch frontier models faster, minimize training costs, and start generating revenue early. 🔗 - 👏 @IneffableLabs is building a superlearner that learns from experience, requiring enormous computational scale. They chose NVIDIA Vera Rubin NVL72, one of the largest clusters on @googlecloud, to power their mission to reach superintelligence.Google Cloud and @IneffableLabs today announced a strategic partnership in which Google will provide the specialised infrastructure for Ineffable's new frontier AI lab. Read the full announcement, here → goo.gle/3Sa9sES #GoogleCloudSummit
- NVIDIA reposted80% faster. Purpose-built for agents. NVIDIA Vera isn’t a CPU upgrade. It’s a new category. Our CEO Jensen Huang said it best: “We built Vera for agents to use.” Learn more: nvda.ws/4vaEWZT
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