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 (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.
NVIDIA (NVDA) announced a partnership with Uber to scale a global Level 4 autonomous ride-hailing network using the new DRIVE AGX Hyperion 10 platform and DRIVE AV software, targeting 100,000 vehicles starting in 2027. Hyperion 10 is a production reference compute and sensor architecture featuring two DRIVE AGX Thor SoCs (>2,000 FP4 teraflops / 1,000 TOPS INT8), a 14-camera multimodal sensor suite plus lidar and radar, and OTA upgradability. NVIDIA will also supply a 1,700-hour, 25-country multimodal AV dataset and launch the Halos Certified Program and Halos AI System Inspection Lab (ANSI-accredited) for physical AI safety and cybersecurity.
NVIDIA (NVDA) announced expanded Omniverse “Mega” Blueprint capabilities on Oct. 28, 2025 to support factory‑scale digital twins, robotics simulation and a three‑computer architecture for collaborative robots.
Key highlights: Siemens will be first to support the industrial Mega Blueprint in its Xcelerator platform; FANUC and Foxconn Fii have begun providing OpenUSD 3D robot models; Foxconn is using Omniverse to design a 242,287‑square‑foot Houston facility; the release cites $1.2 trillion of 2025 U.S. production investments and multiple manufacturers (Belden, Caterpillar, Lucid, Toyota, TSMC, Wistron) using Omniverse for digital twins and automation.
Palantir and NVIDIA (NVDA) announced a collaboration to integrate NVIDIA GPU-accelerated computing, CUDA-X libraries, Nemotron and NeMo models into Palantir Ontology at the core of Palantir AI Platform (AIP).
The integrated stack aims to enable operational AI for enterprises and governments, supporting domain-specific automations, AI agents, real-time decision-making and accelerated supply-chain optimization. Lowe’s is named as an early adopter building a digital replica of its global supply chain. The companies also plan support for NVIDIA Blackwell architecture and NVIDIA AI Factory deployments.
NVIDIA (NVDA) announced a multi‑partner U.S. AI infrastructure initiative to accelerate scientific research, industrial AI and national lab compute capacity.
Key elements include Solstice (100,000 Blackwell GPUs), Equinox (10,000 Blackwell GPUs in 2026), a combined 2,200 exaflops at Argonne, LANL deployments on the Vera Rubin platform, and an AI Factory Research Center in Virginia that supports a gigawatt‑scale Omniverse DSX blueprint with multiple power and systems partners.
NVIDIA (NVDA) announced NVQLink, an open system architecture that tightly couples GPUs with quantum processors to build hybrid quantum supercomputers.
NVQLink supports 17 QPU builders, 5 controller builders and integration with 9 U.S. national labs to enable low-latency, high-throughput connections required for quantum control, calibration and error correction. It integrates with the CUDA-Q software platform to let researchers run hybrid quantum-classical applications for chemistry, materials science and other fields.
NVIDIA (NVDA) will invest $1 billion in Nokia at a subscription price of $6.01 per share to form a strategic partnership that embeds NVIDIA’s computing platform into Nokia’s RAN portfolio and accelerates AI-native 5G-Advanced and 6G networks.
The companies announced the NVIDIA ARC-Pro 6G-ready RAN computer, Nokia will port RAN software to NVIDIA CUDA, Dell PowerEdge servers will provide infrastructure, and T-Mobile U.S. will begin field trials in 2026. Analyst firm Omdia projects the AI-RAN opportunity could exceed $200 billion by 2030. The investment is subject to customary closing conditions.
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