NVIDIA unveiled the N1 and N1X on February 23, its first consumer SoC combining Arm CPUs with Blackwell GPU architecture for AI PCs. Dell, HP, and Lenovo laptops are expected in spring 2026, marking NVIDIA's bold entry into the PC processor market.
#nvidia
OpenAI is close to finalizing a record-breaking $100 billion funding round backed by Amazon, SoftBank, NVIDIA, and Microsoft, pushing its valuation above $850 billion in the largest AI startup financing in history.
Meta and NVIDIA officially announced a multiyear, multigenerational strategic partnership on February 17, deploying millions of Blackwell and Rubin GPUs alongside the first large-scale Grace-only CPU deployment—part of Meta's $600B US investment commitment by 2028.
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.
NVIDIA CEO Jensen Huang announced on February 19 that GTC 2026 (March 16–19, San Jose) will feature a surprise chip reveal, fueling speculation about new hardware beyond the Rubin platform.
NVIDIA and Meta announced a multiyear partnership on February 17 for millions of GPUs and Meta becoming the first to deploy NVIDIA Grace CPUs as standalone chips at scale in its AI data centers.
OpenAI is in the final stages of closing a $100B+ funding round backed by Amazon ($50B), SoftBank ($30B), Nvidia ($20B), and Microsoft—more than doubling its previous $40B raise from March 2025.
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’s February 19, 2026 telecom AI survey indicates that operators are tying AI adoption directly to revenue, cost, and automation outcomes. The data points to rising 2026 AI budgets and a faster move toward AI-native networks ahead of traditional 6G timelines.
NVIDIA and Dassault Systèmes announced a PLM-focused AI collaboration at 3DEXPERIENCE World on 2026-02-10. The plan combines Omniverse and Cosmos with the 3DEXPERIENCE platform to accelerate design, simulation, and operations workflows.
In a February 12, 2026 post, NVIDIA said major inference providers are reducing token costs with open-source frontier models on Blackwell. The article includes partner-reported gains across healthcare, gaming, and enterprise support workloads.