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) reported record Q3 fiscal 2026 revenue of $57.0 billion, up 22% sequentially and 62% year-over-year, driven by a record Data Center quarter of $51.2 billion (+25% Q/Q, +66% Y/Y). GAAP and non-GAAP diluted EPS were both $1.30. GAAP gross margin was 73.4%; non-GAAP gross margin was 73.6%. Operating income was $36.0 billion (GAAP). During the first nine months of FY26 the company returned $37.0 billion to shareholders, with $62.2 billion remaining on the buyback authorization. NVIDIA issued Q4 FY26 guidance of $65.0 billion ±2% revenue and target non-GAAP margin ~75.0%.
NVIDIA (NASDAQ:NVDA) announced that NVQLink, a universal interconnect for quantum-classical systems, is being adopted by more than a dozen global supercomputing centers and national labs to link quantum processors with NVIDIA GPUs via the CUDA-Q platform.
NVQLink delivers 40 petaflops AI performance at FP4, a GPU–QPU throughput of 400 Gb/s and latency under 4 microseconds. Quantinuum’s Helios QPU used NVQLink to demonstrate the world’s first scalable real-time decoder with a 67 microsecond reaction time (32x faster than a 2 ms requirement).
NVIDIA (NVDA) and RIKEN announced two new GPU-accelerated supercomputers for AI for science and quantum computing, deploying a combined 2,140 NVIDIA Blackwell GPUs on GB200 NVL4 platforms with NVIDIA Quantum-X800 InfiniBand networking. One system will include 1,600 GPUs for life sciences, materials, climate, manufacturing and lab automation; the other will include 540 GPUs to accelerate quantum algorithms and hybrid quantum-classical research. The systems will act as proxy platforms for the planned FugakuNEXT collaboration with Fujitsu and are expected to be operational in spring 2026. FugakuNEXT is targeted for operation by 2030 and is described as aiming for 100x greater application performance versus prior CPU-based systems.
NVIDIA (NASDAQ: NVDA) and Samsung announced plans on Oct 31, 2025 to build an AI factory powered by more than 50,000 NVIDIA GPUs to integrate accelerated computing into advanced chip manufacturing.
The collaboration deploys NVIDIA CUDA-X, cuLitho and Omniverse digital twins to drive 20x performance gains in computational lithography, speed simulation and enable AI-driven predictive maintenance, operational optimization and real-time decision-making across Samsung fabs, logistics and robotics.
NVIDIA (NVDA) and SK Group are partnering to build an AI factory in Korea featuring more than 50,000 NVIDIA GPUs, with phase one targeted for completion by late 2027. The facility will serve SK subsidiaries and external customers via a GPU-as-a-service model.
SK hynix will use NVIDIA CUDA-X, PhysicsNeMo, Omniverse libraries and RTX PRO servers to accelerate chip design, create fab digital twins and progress toward robotic self-optimizing fabs. SK Telecom will deploy an industrial cloud with over 2,000 RTX PRO 6000 Blackwell GPUs. SK aims to deploy AI agents for more than 40,000 employees.
NVIDIA (NVDA) and Hyundai Motor Group announced a deepened collaboration on Oct. 31, 2025 to build an NVIDIA Blackwell-powered AI factory in Korea that integrates in-vehicle AI, autonomous driving, smart factories and robotics.
Key commitments include deploying 50,000 NVIDIA Blackwell GPUs, an approximately $3 billion investment, establishment of an NVIDIA AI Technology Center and Hyundai Physical AI Application Center, use of Omniverse/Cosmos digital twins and RTX PRO servers, development of proprietary LLMs with Nemotron and NeMo, and vehicle compute using DRIVE AGX Thor on safety-certified DriveOS.
NVIDIA (NVDA) announced partnerships with the South Korea government, Samsung, SK Group, Hyundai Motor Group, NAVER Cloud and others to build national AI infrastructure deploying over 260,000 NVIDIA GPUs for sovereign clouds, AI factories, physical AI and LLM development.
Key facts: MSIT plans up to 50,000 GPUs for sovereign AI; initial 13,000 GPUs deployed by NAVER Cloud, NHN Cloud and Kakao; NAVER Cloud plans >60,000 GPUs; Hyundai collaboration includes an approximately $3 billion investment. Projects cover AI factories, digital twins, physical AI, sovereign LLMs, quantum-GPU research and startup support.
NVIDIA (NVDA) will host a webcast conference call on Wednesday, November 19, 2025 at 2:00 p.m. PT (5:00 p.m. ET) to discuss third-quarter fiscal 2026 results for the period ended October 26, 2025. The event will be available in listen-only mode at investor.nvidia.com and will include prepared remarks followed by a Q&A limited to financial analysts and institutional investors.
Written commentary from Colette Kress, executive vice president and chief financial officer, will be posted to investor.nvidia.com immediately after results are publicly announced at approximately 1:20 p.m. PT. The webcast will be recorded and replayed until the company’s next quarterly results call.
NVIDIA (NVDA) and Oracle will build the U.S. Department of Energy’s largest AI supercomputer at Argonne National Laboratory.
The Solstice system will include 100,000 NVIDIA Blackwell GPUs, an Equinox system will include 10,000 Blackwell GPUs (Equinox expected in H1 2026), and both systems together will deliver 2,200 exaflops of AI performance. Systems will run NVIDIA Megatron-Core and TensorRT stacks to support training and inference for agentic AI scientific workflows and connect to DOE experimental facilities.
The build uses a DOE public-private partnership model that includes industry investments and shared use cases.
NVIDIA (NVDA) and U.S. telecom partners unveiled an AI-native wireless stack for 6G on Oct. 28, 2025, built on the NVIDIA AI Aerial platform to enable integrated sensing, spectrum agility and edge AI across hardware, software and architecture.
The coalition—Booz Allen, Cisco, MITRE, ODC and T-Mobile—completed a working stack in six months, performed the first user-to-user phone call on the system, and demonstrated multimodal ISAC sensing and AI-managed spectrum functions designed for public safety, industrial monitoring and secure networks.
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