NVIDIA and its partners in Japan are this week showcasing the AI ecosystem's latest advancements. Check back here for updates.

New NVIDIA Blackwell-powered T3000 and T2000 modules, paired with new NVIDIA Jetson software memory optimization and agent skills, help partners and customers move advanced robotics, visual AI and edge workloads onto compact, power-efficient systems.

For over fifteen years, x86 CPUs have shipped with a dedicated hardware instruction for carryless multiplication. It’s a small but stubborn primitive that sits underneath authenticated encryption…

OpenUSD is an open, extensible framework that provides a common scene description language for physical AI. It enables teams to bring CAD data, simulation assets, and real-world telemetry into a…

Developers building video analytics applications across large spaces must track the same object as it moves between camera views. Single-camera 2D tracking lacks reliable depth information and…

Plus, GeForce NOW launches in India moving from beta to public availability, and delivers ‘Denshattack!’ alongside five new games this week.

Agentic AI changes the infrastructure pattern for AI factories. One request can trigger many model calls, tool calls, memory lookups, policy checks, storage accesses, and network transfers before a…

A video analytics AI agent that can perceive, reason, and act based on massive amounts of video footage must be integrated with existing workflows and applications to be useful.

Capcom’s RE ENGINE team set out to bring path tracing into two shipping titles at once, Resident Evil Requiem and PRAGMATA, each with a different visual identity. Over two years, the RE ENGINE team…

Lowest cost per token from extreme codesign maximizes intelligence per dollar for post-training in the agentic era.

The pharmaceutical company has demonstrated how AI can transform how drugs discovery and is now scaling AI across R&D to accelerate the discovery of next-generation medicines.

From open models to real-time simulation, AI and graphics breakthroughs are transforming media, content creation and robotics.

Developers building 3D, design, simulation, robotics, and industrial digital twin applications need ways to bring physical AI capabilities into the tools and services they already use.

The demand for AI continues to accelerate. Workloads are getting larger, models are becoming more complex, and there is mounting pressure to deploy AI compute infrastructure faster than ever.

Next-generation NVIDIA Spectrum-X Ethernet connects hundreds of thousands of GPUs with the performance, resilience and efficiency needed for gigascale AI, with AI infrastructure leaders already adopting.

Backed by 300 global partners, Vera Rubin is ramping up worldwide. NVIDIA partners CoreWeave, Google Cloud, Microsoft Azure and Mistral are among many deploying Vera Rubin, which delivers benchmark leadership on performance per watt and lowest token costs.

What began as discrete AI model training and human-facing chat interfaces has evolved into always-on AI factories dedicated to producing intelligence at scale. These factories are now tasked with…

Agentic AI shifts more of the critical execution path onto the CPU. Agents operate in sandboxes to execute code, invoke tools, retrieve context, interact with databases, and analyze results before…

Frontier model pre-training has converged on mixture of experts (MoE), which is fundamentally changing what limits large-scale AI training. As compute per token falls…

The AI era runs on AI infrastructure. Many of these advanced systems are built and tested in Texas. Wistron opened its first U.S. manufacturing facility today in Fort Worth — a 324,000-square-foot greenfield plant producing superchips at the heart of some…