Welcome to our dedicated page for Nvidia Corporation news (Ticker: NVDA), a resource for investors and traders seeking the latest updates and insights on Nvidia Corporation stock.
NVIDIA Corporation (NASDAQ: NVDA) operates in the semiconductor and related device manufacturing industry and describes itself as the world leader in AI and accelerated computing. The NVDA news stream highlights how the company’s technologies and partnerships shape AI platforms, data center infrastructure, robotics, autonomous vehicles and scientific computing.
Recent NVIDIA news includes announcements about the NVIDIA Rubin platform, which combines the Vera CPU, Rubin GPU, NVLink 6 switch, ConnectX‑9 SuperNIC, BlueField‑4 DPU and Spectrum‑6 Ethernet switch into an AI platform aimed at reducing training time and inference token costs. Other updates cover NVIDIA BlueField‑4 powering an AI‑native storage infrastructure called the NVIDIA Inference Context Memory Storage Platform, designed to support long‑context, multi‑agent AI systems.
The NVDA news feed also features sector‑specific developments. In life sciences, NVIDIA has announced expansions of the NVIDIA BioNeMo platform and a co‑innovation lab with Eli Lilly and Company to apply AI to drug discovery and related workflows. In robotics and physical AI, NVIDIA has introduced new open models such as NVIDIA Cosmos and Isaac GR00T, along with frameworks like Isaac Lab‑Arena and OSMO, and highlighted partners unveiling new robots built on NVIDIA technologies.
For autonomous vehicles, NVIDIA news includes the launch of the Alpamayo family of open AI models, simulation tools and datasets for reasoning‑based AV development. Additional items cover the Nemotron 3 family of open models for agentic AI and a strategic partnership with Synopsys to apply accelerated computing to engineering and design. Investors and observers can use the NVDA news page to follow product launches, ecosystem collaborations, AI platform updates and regulatory communications that illustrate how NVIDIA positions its technology across industries.
NVIDIA (NASDAQ:NVDA) will host a conference call on Wednesday, February 25, 2026 at 2:00 p.m. PT (5:00 p.m. ET) to discuss fourth-quarter and fiscal year 2026 results ended January 25, 2026. The live webcast will be listen-only on investor.nvidia.com.
Prepared remarks will be followed by a Q&A limited to financial analysts and institutional investors. The company will post written commentary from CFO Colette Kress at approximately 1:20 p.m. PT immediately after results are publicly announced. A recorded replay will be available until the company’s Q1 FY2027 results call.
CoreWeave (Nasdaq: CRWV) and NVIDIA announced an expanded collaboration to accelerate global AI infrastructure. NVIDIA invested $2.0 billion in CoreWeave Class A common stock at a purchase price of $87.20 per share. The partners aim to enable CoreWeave to build more than 5 gigawatts of AI factories by 2030, leverage NVIDIA’s financing to secure land, power and shells, and deploy multiple NVIDIA generations including Rubin, Vera CPUs and Bluefield storage while testing CoreWeave software such as SUNK and Mission Control for broader reference-architecture use.
Envirotech Vehicles (NASDAQ: EVTV) and AZIO AI announced a scalable AI infrastructure program focused on integrated power, cooling, and modular compute to support sustained, production-level AI workloads.
The Texas reference deployment uses behind-the-meter natural gas generation and purpose-built cooling to run continuous operations and gather live performance, efficiency, uptime, and economics data. Initial modules support ~500 kW compute (≈1,000–1,250 units) with designed expansion paths to ~5 MW (10,000+ units) and larger multi‑megawatt campuses. The commercial framework has AZIO AI selling hardware while EVTV owns hosted assets.
NVIDIA (NVDA) and Lilly announced a co-innovation AI lab to reinvent drug discovery, pledging up to $1 billion of joint investment over five years for talent, infrastructure and compute. The San Francisco Bay Area lab will colocate Lilly scientists with NVIDIA AI engineers, build on NVIDIA BioNeMo and Vera Rubin architectures, and link agentic wet labs with computational dry labs to create a continuous learning system for 24/7 AI-assisted experimentation. Work is expected to begin in South San Francisco early 2026.
NVIDIA (NVDA) expanded its BioNeMo open development platform at the J.P. Morgan Healthcare Conference to accelerate AI-driven biology and drug discovery. Key additions include RNAPro for RNA structure prediction, ReaSyn v2 for synthetically feasible designs, BioNeMo Recipes, and nvMolKit GPU-accelerated cheminformatics libraries. NVIDIA announced collaborations with Lilly to create a co-innovation AI lab (up to $1 billion investment over five years) and with Thermo Fisher to build autonomous, edge-to-cloud lab infrastructure and agentic workflows. Multiple biotech partners are adopting BioNeMo for model training, deployment and lab-in-the-loop workflows.
Siemens and NVIDIA (NVDA) expanded their strategic partnership on January 6, 2026 to build an Industrial AI operating system that spans design, simulation, manufacturing, operations and supply chains. The companies plan to deliver AI-accelerated portfolios including AI-native electronic design, AI-native simulation, and adaptive manufacturing, and to design repeatable AI factory blueprints.
Key specifics: Siemens' Electronics Factory in Erlangen will serve as the first blueprint starting in 2026; Siemens will complete GPU acceleration across its simulation portfolio; Siemens and NVIDIA target 2–10x speed-ups in key semiconductor EDA workflows.
NVIDIA (NASDAQ:NVDA) announced the NVIDIA Inference Context Memory Storage Platform, powered by the BlueField-4 data processor, a purpose-built AI-native storage platform for long-context, agentic AI workloads announced Jan 5, 2026.
The platform extends GPU memory with cluster-level KV cache, enables high-bandwidth sharing across rack-scale systems, and claims up to 5x improvement in tokens-per-second and up to 5x greater power efficiency versus traditional storage. Key components include BlueField-4 hardware acceleration, NVIDIA DOCA, NIXL, Dynamo software, and Spectrum-X Ethernet. Major storage vendors are building systems with BlueField-4, which will be available in the second half of 2026.
NVIDIA (NVDA) launched the Rubin platform on Jan 5, 2026: a codesigned rack-scale AI system built from six chips — Vera CPU, Rubin GPU, NVLink 6 switch, ConnectX-9 SuperNIC, BlueField-4 DPU and Spectrum-6 Ethernet switch — to accelerate training and inference.
Key claims: up to 10x lower inference token cost and 4x fewer GPUs for MoE training versus the Blackwell platform; Rubin GPU delivers 50 petaflops NVFP4; NVLink 6 offers 3.6TB/s per GPU and NVL72 rack 260TB/s. Rubin products enter production with partner availability in H2 2026.
NVIDIA (NVDA) unveiled new physical AI models, open-source simulation and orchestration frameworks, and Jetson and Thor robotics compute at CES on Jan 5, 2026.
Key releases include Cosmos Transfer 2.5, Cosmos Predict 2.5, Cosmos Reason 2, the GR00T N1.6 VLA model, Isaac Lab-Arena, and OSMO, plus integrations with Hugging Face and LeRobot. NVIDIA also announced the Jetson T4000 module (1,200 FP4 TFLOPS, 64GB) priced at $1,999 at 1,000-unit volume and availability of IGX Thor for industrial edge AI.
NVIDIA (NVDA) on Jan 5, 2026 at CES unveiled the Alpamayo family: open-source reasoning AI models, simulation tools and datasets to speed development of safe, reasoning-based autonomous vehicles.
Key components: Alpamayo 1 — a 10-billion-parameter chain-of-thought vision-language-action model on Hugging Face with open weights and inference scripts; AlpaSim — an open-source, end-to-end simulation framework on GitHub; and Physical AI Open Datasets — 1,700+ hours of driving data covering rare edge cases. Industry partners cited include JLR, Lucid, Uber and Berkeley DeepDrive. NVIDIA positions these tools as teacher models for fine-tuning, distillation and closed-loop validation under its Halos safety system.