NVIDIA says Vera is the first processor built specifically for agentic AI and reinforcement learning. On Hacker News, the announcement reached 165 points and 98 comments as readers focused on CPU-GPU coupling, rack density, and the practical value of NVIDIA's efficiency claims.
#ai-infrastructure
RSS FeedNVIDIA and Thinking Machines Lab said on March 10, 2026 that they will deploy at least one gigawatt of next-generation NVIDIA Vera Rubin systems under a multiyear partnership. The agreement also covers co-design of training and serving systems plus an NVIDIA investment in Thinking Machines Lab.
xAI said on Feb 2, 2026 that SpaceX had acquired xAI in a stock transaction valuing xAI at $200 billion and SpaceX at $350 billion. The announcement links xAI's model roadmap with infrastructure milestones that include a $20 billion Series E, Colossus at 200,000 GPUs, and a stated path to 1 million GPUs by the end of 2026.
NVIDIA said GTC 2026 will run March 16-19 in San Jose, California. The company projects 30,000+ attendees from 190+ countries and more than 1,000 sessions across the AI stack. The program includes Jensen Huang’s keynote, hands-on labs, startup showcases, and an analyst Q&A session.
NVIDIA said on February 24, 2026 that Red Hat AI Factory with NVIDIA combines Red Hat AI Enterprise and NVIDIA AI Enterprise to scale AI workloads on accelerated infrastructure. NVIDIA’s solution page and linked press releases describe the offer as a co-engineered stack for repeatable production deployment.
Greg Brockman posted that the first steel beams are now up at the Stargate site in Milam County, Texas. The update also names SoftBank and SB Energy as project partners.
Meta announced a new 1GW data center campus in Lebanon, Indiana with more than $10 billion in combined infrastructure and community investment. The project includes major hiring, long-term local assistance funds, and sustainability commitments tied to energy and water stewardship.
Meta announced a multi-year infrastructure partnership with AMD, targeting up to 6GW of AMD Instinct GPU capacity for AI workloads. The agreement also aligns roadmaps across silicon, systems, and software, with first deployments expected in the second half of 2026.
NVIDIA announced a multigenerational strategic partnership with Meta on February 17, covering millions of Blackwell and Rubin GPUs, the first large-scale Grace CPU deployment, and WhatsApp privacy computing via NVIDIA Confidential Computing.
In its February 12, 2026 post, NVIDIA describes DGX Spark as a desktop AI system now used across universities for on-prem model development and rapid iteration. The examples span South Pole neutrino analysis, medical report evaluation, and campus robotics workloads.
NVIDIA outlined a Rubin-based DGX SuperPOD architecture that combines compute, networking, and operations software as one deployment stack. The company claims up to 10x lower inference token cost versus the prior generation and targets availability in the second half of 2026.
NVIDIA and CoreWeave announced an expanded partnership targeting more than 5 gigawatts of AI factories by 2030. NVIDIA also disclosed a $2 billion investment in CoreWeave Class A shares at $87.20 per share.