With its legacy of innovation, Nvidia has become a dominant force in the AI market. Its GPUs have evolved from their gaming roots to power breakthroughs in scientific simulations, data analysis, and machine learning. Follow this page for the latest news, analysis, and features on Nvidia’s advancements and their impact on enterprise transformation.

Latest News

Nvidia unveils Vera Rubin platform targeting AI, HPC infrastructure

June 22, 2026: Nvidia has formally launched the Vera Rubin platform, a combination CPU and GPU platform billed as a major step forward in the convergence of artificial intelligence and high-performance computing (HPC) for scientific research.

Dell, Super Micro launch AI servers based on Nvidia Vera Rubin GPUs

June 22, 2026: Dell and Super Micro each unveiled new AI servers as part of Nvidia’s Vera Rubin rollout. The Dell PowerEdge XE8812, with its core Nvidia Vera Rubin NVL4 architecture, scales up to 144 GPUs per rack and will be at the heart of the Dell AI Factory with Nvidia preconfigured package of server, storage, networking, and software infrastructure.

OpenAI weighs Nvidia-backed lease for 10 GW Ohio data center campus

June 10, 2026: OpenAI is reportedly in advanced talks to lease a proposed 10-gigawatt data center campus in southern Ohio in an arrangement that could include financial backing from Nvidia. The campus could cost at least $500 billion to build at current prices for chips, power, and construction.

Startup Bolt Graphics promises 5x performance over Nvidia’s best GPU

May 19, 2026: It takes a brave company to go up against Nvidia in any market, let alone graphics performance. Intel tried and failed repeatedly, and AMD is barely hanging on. But Bolt Graphics thinks it has something in its Zeus GPU.

Startup SPAN teams with Nvidia to put data center nodes in your backyard

May 13, 2026: A power-management company called SPAN has partnered with Nvidia and homebuilder PulteGroup to make use of spare electrical transmission capacity already available in many neighborhoods — something SPAN says its smart panels can detect. Rather than building massive new data centers with their own ZIP code, SPAN is proposing a network of small units, called XFRA nodes, installed outside of homes or in small commercial locations. These nodes are no bigger than an HVAC or power generator found outside of any home, according to SPAN.

Nvidia’s ‘AI insurance policy’ balances immediate and future AI approaches

April 27, 2026: Cloud-hosted AI attracts extreme attention and investment. But what if the hype wave collapses? Nvidia’s challenge is to build interest in the boring aspects of future AI business cases when the market’s focus is elsewhere.

Nvidia Rubin GPUs may be delayed, slowing the next phase of AI infrastructure

April 9, 2026: Nvidia’s latest generation of AI chips, the Nvidia Rubin GPUs, expected to ship later this year, may face supply delays amid ongoing geopolitical pressures and supply chain constraints.

Nvidia’s SchedMD acquisition puts open-source AI scheduling under scrutiny

April 7, 2026: Nvidia’s recent acquisition of SchedMD, the company behind the Slurm workload manager, is raising concerns among AI industry executives and supercomputing specialists who fear the chip giant could use its new position to favor its own hardware over competing chips, whether through code prioritization or roadmap decisions.

Nvidia overhauls the data center for the agentic AI era

March 20, 2026: Inference is the core data-center workload, and tokens are the new commodity of the AI era, says Nvidia. Recalling the classic data center during a keynote at GTC, CEO Jensen Huang said “it used to be … for files. It’s now a factory to generate tokens.”

Nvidia joins push for data centers in space

March 19, 2026: Nvidia shared plans to bring AI and accelerated computing to space, joining a slew of other tech giants with out-of-this-world computing ideas.

Nvidia CEO Huang talks up ‘tokenomics’ — the new currency for AI

March 17, 2026: AI tokens are emerging as a kind of currency that will help in recruitment, budgeting, and productivity, Nvidia’s CEO Jensen Huang said during a keynote address at the company’s GTC conference.

Nvidia announces Vera Rubin platform, signaling a shift to full-stack AI infrastructure

March 17, 2026: Nvidia introduced its Vera Rubin platform, which combines compute, networking, and data processing into rack-scale deployments for large AI data centers, underscoring a shift in hyperscale environments toward more tightly integrated infrastructure.

Why Nvidia’s DGX Rubin NVL8 runs on Intel Xeon 6

March 17, 2026: Despite growing rivalry between the two chip makers, AI systems from Nvidia will use CPUs from Intel to maintain x86 continuity across data-center workflows. Specifically, Nvidia has selected Intel’s Xeon 6 processors as the host CPUs for its Nvidia DGX Rubin NVL8 systems.

Nvidia NeMo promises to run agentic AI securely in the enterprise

March 17, 2026: In the few short weeks since agentic AI became the biggest story in enterprise computing, it has been dogged by concerns that it is not secure enough to be safely deployed in organizations. At the Nvidia GTC conference, CEO Jensen Huang announced NeMo as his answer. Built in consultation with leading agentic AI developers, NeMo is based on the Nvidia Agent Toolkit, part of the broader NeMo ecosystem for building AI agents.

Nvidia targets inference as AI’s next battleground with Groq 3 LPX

March 17, 2026: Groq 3 LPX was announced at Nvidia GTC as part of an architecture comprising seven new chips and five racks meant to work together as “one big supercomputer.” The company says its new architecture marks a shift from training-focused infrastructure to systems optimized for continuous, low-latency enterprise AI workloads.

Vendors tout Nvidia partnerships as GTC 2026 kicks off

March 17, 2026: Several major vendors announced expanded Nvidia partnerships at the opening of GTC 2026:

Nvidia launches Nemotron 3 Super to power enterprise AI agents

March 12, 2026: Nvidia introduced Nemotron 3 Super, a new model designed to power enterprise AI agents with improved reasoning and efficiency for production deployments.