NVIDIA AI 工厂如何最大化投资回报：高产出、长寿命、通用性
NVIDIA 提出 AI 工厂投资回报取决于三个因素：每兆瓦产出能力、硬件使用寿命和 token 需求，并以 Vera Rubin NVL72 为例称其每兆瓦吞吐量比 GB300 NVL72 高 30 倍以上，在 DeepSeek V4 Pro 上每百万 token 成本最多低 45 倍。
#Data and training
#Data and training
1 todayOct 1
Sep 30
From Training to Production, NVIDIA and CoreWeave Close the Loop on Agentic AI
CoreWeave announced that NVIDIA Vera Rubin NVL72 systems with Spectrum-X 102.4T Ethernet were available on CoreWeave Cloud, with Cognition becoming the first customer to run them in production.
AMD buys AI world model startup World Labs for $8.2 billion
Chipmaker AMD is acquiring World Labs, a startup focused on spatial intelligence. AI pioneer Fei-Fei Li will join AMD's leadership team as Executive Vice President and Chief Scientist. The all-stock deal is valued at about $8.2 billion, according to AMD. The transaction is expected to close by the end of 2026, pending regulatory approval.
AMD will acquire Fei-Fei Li’s World Labs for $8.2 billion
AMD is acquiring World Labs, one of the leading developers of deep learning models intended to understand physical reality, in an $8.2 billion deal, the two companies said today. World Labs justified the deal in a statement saying that AI development required “close collaboration across model research, systems and compute.”
Sep 26
Tesla workers balk at training Optimus humanoid robots as replacements
According to The Information, Tesla had factory workers in Texas and California wear specialised motion-recording suits to collect imitation-learning data for Optimus humanoid robots. Some complained that the robots would eventually replace them, after which Tesla moved collection to dedicated teams and established training centres.
Sep 24
How Open Science Can Help Researchers Prepare for the Next Pandemic
NVIDIA joined a global research consortium including Google DeepMind and EMBL-EBI to release predicted 3D protein complex structures for over 2,800 viruses through the AlphaFold Database, free for any scientist to use.
Sep 23
Sakeena Fiza Helps NVIDIA Hardware Succeed at Scale
NVIDIA validation engineer Sakeena Fiza validates new hardware before mass production in its data centre systems lab. One memorable moment was the first successful system-level enumeration of the Rubin GPU. She compares validation to solving crimes, finding and reproducing issues before customers do, across trays, racks, clusters and customers' AI factories.
Sep 21
5 Companies Using NVIDIA AI for Clean Energy
NVIDIA highlighted five AI clean-energy companies at New York Climate Week. ThinkLabs AI's NVIDIA CUDA-based digital twins and agents help Southern California Edison cut grid connection application assessments from 30–45 days to two minutes.
Sep 16
‘Now We Can Know Everything and Do Anything,’ Jensen Huang Says at Dreamforce
Salesforce unveiled its first CRM reasoning model, Koa, at Dreamforce. Post-trained on NVIDIA Nemotron 3 Super, it uses a proprietary synthetic dataset derived from nearly three decades of enterprise CRM deployments across more than 14 industries, including manufacturing, financial services, healthcare and travel.
Can Skills Learned in Games Transfer to Real-World Work?
Good Start Labs turned railway board game 1830 into a training environment and tested a 30B model. Both single-turn Q&A and multi-turn terminal-agent training improved game performance, but only the terminal-agent design improved Finance-Agent benchmark results.
AI Infra Summit: NVIDIA Vera Rubin and DSX Platform Advancements Showcase Energy Efficiencies of Optimizing Tokens Per Watt for AI Factories
NVIDIA announced several advances for Vera Rubin and the DSX platform at AI Infra Summit, focusing on energy-efficiency improvements in token throughput per megawatt.
Jul 22
Accelerating the frontiers of scientific discovery: Google’s $40M commitment to the Genesis Mission
At DOE Genesis Mission Summit 2026, Google announced $40 million in AI tokens and cloud credits to support Genesis Mission researchers.
May 27
Physics AI research that’s shaping the industry.
Mistral acquired Emmi AI and doubled down on fundamental Physics AI research for aerospace, automotive, semiconductor and energy industries. Results include AB-UPT handling 9 million surface and 140 million volume elements on one GPU, and around 30,000 CFD simulations of transonic flow around 3D wings.
May 23
Emmi joins Mistral to accelerate the AI-native industry
Mistral AI signed a definitive agreement this week to acquire Physics AI pioneer Emmi AI, strengthening its AI transformation services for industrial companies. Founded in Austria, Emmi AI has over 30 researchers and engineers focusing on large engineering models that replace days of computation with real-time simulation and build digital twins. Its co-founders and team will join Mistral's Science and Applied AI teams in May.
May 2
Catalyzing scientific impact through global partnerships and open resources
Google Research said its open-source tools and datasets have enabled over 250,000 researchers and developers worldwide. Genomics tools DeepVariant, DeepConsensus and DeepPolisher have supported processing exomes and whole genomes from 2.5 million people; MedGemma has over 4.8 million downloads. Open Health Stack is deployed in more than ten countries, reaching over 65 million beneficiaries.
Mar 17
Mistral AI partners with NVIDIA to accelerate open frontier models
Mistral AI joined NVIDIA Nemotron Coalition as a founding member. They plan to jointly develop frontier open AI models, with Mistral contributing architecture, multimodal capabilities and fine-tuning tools, and NVIDIA providing compute, model development tools and synthetic data pipelines.
Jul 23
Our contribution to a global environmental standard for AI
Mistral AI, Carbone 4 and France's ADEME completed the first full-lifecycle AI model analysis. By January 2025, Large 2 training and 18 months of use produced 20.4 ktCO₂e, consumed 281,000 cubic metres of water and 660 kg Sb eq of resources.