NVIDIA Corporation develops graphics processing units, accelerated computing systems, and software platforms used in gaming, artificial intelligence, data centers, and AI model development. Company news around NVDA commonly covers financial results, data center demand, AI infrastructure partnerships, networking and optical-connectivity collaborations, and platform launches such as NVIDIA Ising and NVLink Fusion.
Updates also address NVIDIA’s AI factory architecture, systems that connect GPUs for large workloads, quantum-computing tools for calibration and error correction, and governance changes involving the board, audit committee, and executive finance roles.
NVIDIA (NASDAQ:NVDA) introduced the BioNeMo Agent Toolkit, a collection of domain-specific AI tools that let agents execute complex workflows across biology, chemistry, genomics and drug discovery. It packages NVIDIA life sciences libraries, open models and accelerated computing into agent-callable skills.
More than 50 organizations, including Anthropic, OpenAI, Lilly, Dassault Systèmes, Databricks, Snowflake and UW Medicine’s Institute for Protein Design, are using or integrating the toolkit for tasks such as virtual screening, genomic analysis, protein design, biomedical research and medical imaging. BioNeMo Agent Toolkit and skills are available now via NVIDIA developer resources and GitHub.
NVIDIA (NASDAQ:NVDA) announced a record 35 AI HPC supercomputers being built across Europe, expanding next-generation AI infrastructure to over 3 million researchers in 23 countries.
The systems, delivering around 800 AI exaflops, use Blackwell and Hopper platforms, support climate, healthcare and clean energy research, and extend Europe’s quantum‑GPU and CUDA‑Q leadership.
NVIDIA (NVDA) introduced Halos for Robotics, described as the industry’s first full-stack safety system for robotics and physical AI, announced June 22, 2026 at Automate in Chicago.
The platform integrates NVIDIA IGX Thor, Holoscan Sensor Bridge, Halos OS and an ANAB-accredited AI Systems Inspection Lab, with Agility adopting key components for its Digit humanoid in industrial settings.
An ecosystem of software, embedded, sensor and certification partners supports development, inspection and certification, with Halos Core for IGX and the open-source Outside-In Safety Blueprint available in early access.
NVIDIA (NASDAQ:NVDA) introduced the Vera Rubin platform, a rack-scale supercomputer for AI and high-performance scientific computing. Each system can deliver over 7 exaflops of AI performance, 5 petaflops of FP64 and up to 144 GPUs, targeting climate, energy and advanced research workloads.
Leading centers including LRZ, NERSC and Los Alamos are building next-generation systems on Vera Rubin, while global OEMs plan liquid-cooled Vera Rubin NVL4 racks, expected to be available in Q4.
Sharon AI (NASDAQ:SHAZ) announced a six-year strategic compute collaboration with NVIDIA (NASDAQ:NVDA) to deploy a 72MW DSX AI factory in Australia, scaling up to 40,000 Grace Blackwell GB300 GPUs.
The deal uses a revenue-sharing and credit-support model. Sharon AI will sell NVIDIA-powered cloud services, while NVIDIA receives product revenue plus a share of cloud revenue. Following this agreement, Sharon AI’s total AI factory capacity reaches 132MW, with 102MW contracted, and it expects to operate more than 55,000 NVIDIA GPUs by mid-2027.
NVIDIA (Nasdaq:NVDA) will hold its 2026 Annual Meeting of Stockholders online on Wednesday, June 24, at 9 a.m. PT. The virtual meeting is accessible at virtualshareholdermeeting.com/NVDA2026, with voting items detailed in the proxy statement filed May 12, 2026.
KKR (NYSE:KKR) launched Helix Digital Infrastructure, a new platform to finance and deliver large-scale AI infrastructure for hyperscalers.
Helix starts with over $10 billion of long-duration capital commitments and founding investors including KKR, Kuwait Investment Authority, NVIDIA and Vistra, with Adam Selipsky as CEO and Waldemar Szlezak as CIO.
NVIDIA (NASDAQ:NVDA) and SK hynix announced a multiyear technology partnership to advance next-generation memory for the global buildout of AI factories. The deal aligns memory codevelopment with NVIDIA's AI infrastructure roadmap and supports supply for advanced memory across AI infrastructure, personal AI and physical AI.
SK hynix will codevelop memory for NVIDIA Vera Rubin AI supercomputers, Vera CPUs, RTX Spark-powered PCs and Jetson Thor platforms, and will use NVIDIA CUDA-X, PhysicsNeMo, Omniverse, OpenUSD and cuOpt to accelerate chip design, semiconductor simulations and autonomous fab digital twins.
NVIDIA (NASDAQ: NVDA)/b) and SK Telecom announced plans for a gigawatt-scale built on the NVIDIA DSX AI factory architecture, with the first AI factory targeted to come online in 2027.
The AI Cloud aims to power sovereign, physical and agentic AI services across Korean industries and potentially wider Asia, using NVIDIA DSX MaxLPS and DSX OS to improve token cost efficiency and lifecycle management. SKT will also become an NVIDIA Cloud Partner, and NVIDIA and SK Group plan joint research on next-generation AI factory architectures.
NVIDIA (NVDA) announced that TSMC is deploying NVIDIA accelerated computing and AI across semiconductor design and manufacturing to improve turnaround time, energy efficiency, yield and fab productivity.
TSMC uses CUDA-X libraries, Metropolis, TAO Toolkit and Omniverse to speed lithography, simulation, process control, defect inspection and virtual fab planning.