Nvidia Corp. today announced a raft of advancements at Computex 2025 in Taipei across the spectrum of artificial intelligence, including an AI marketplace connecting the world’s developers to GPU compute and humanoid robots.

The company also unveiled Nvidia NVLink, a new silicon solution that lets partners build semicustom AI infrastructure using NVLink, the company’s existing high-speed interconnect technology.

DGX Cloud Lepton: connecting developers to global compute

Lepton is an AI platform that provides a compute marketplace that connects the world’s developers building today’s agentic and physical AI applications with tens of thousands of GPUs available from a global network of Nvidia’s cloud partners.

Nvidia’s Cloud Partners include big names such as CoreWeave Inc., Crusoe Energy Systems LLC, Firmus Technologies Inc., Foxconn GMI Cloud Solutions Pvt. Ltd., Lambda Labs Inc., Nscale GmbH, Softbank Corp. and Yotta Data Services Private Ltd.

Using Lepton, developers can tap into GPU compute capacity in specific regions for on-demand and long-term compute depending on their operational requirements.

“Nvidia DGX Cloud Lepton connects our network of global GPU cloud providers with AI developers,” said Jensen Huang, founder and chief executive of Nvidia. “Together with our NCPs, we’re building a planetary-scale AI factory.”

Under the hood, Lepton abstracts away the purchase and pooling of management of compute for developers and allows partners to offer GPU capacity as a unified experience. Nvidia said this allows developers and businesses to focus on experimenting and building AI features; while flexibly receiving the GPU workloads they need to test, train and deploy AI models whenever they need them.

Delivering humanoid robotics computing with GR00T

Nvidia today announced the first update to its foundation model for humanoid robots, Isaac GR00T N1.5.

Physical AI is the combination of AI with real-world physical interaction, allowing machines to perceive, understand and act upon the environment. Foundation models such as GR00T act as AI brains for robots that can perceive the world and reason about it, allowing them to behave similarly to humans so that they can complete tasks such as identifying objects and complete tasks such move through the world and pick up objects.

GR00T N1.5 represents an upgrade over the last generation and can better adapt to new environments and workspace configurations. Nvidia said it significantly improves the model’s success rates for common material handling and manufacturing tasks like sorting and putting away objects. It can be deployed on the company’s Jetson Thor robot computer, launching later this year.

Early adopters of GR00T N models include companies such as AeiRobot, Foxlink Lightweel and NEURa Robotics.

Teaching robots requires a great deal of data and most of that has to be provided by human actors who can only deliver so much. That data is called “trajectories,” or how the robot must move to grasp, handle and move objects to perform tasks in varied environments.

There are only so many hours in a day for human actors to perform tasks to generate data, so Nvidia has created GR00T-Dreams, a way to generate videos of a robot performing new tasks in new environments. GR00T-Dreams can use a single image as the input and create videos for the robot to learn how to perform new tasks.

In AI parlance, this is a way to produce synthetic data for robot AI training, giving large amounts of extra data that can be digested. GR00T-Dreams complements Isaac GR00T-Mimic blueprint, a tool that generates additional synthetic motion data from a small number of human demonstrations. Mimic uses Omniverse and Cosmos to augment existing data, and GR00T-Dreams generates entirely new data.

NVLink Fusion provides a path to bigger AI factories

Nvidia today announced NVLink Fusion, which it said is a custom central processing unit and accelerator at industry-proven scale.

“A tectonic shift is underway: for the first time in decades, data centers must be fundamentally rearchitected — AI is being fused into every computing platform,” said Huang.

Fusion is designed to provide cloud providers a way to scale up to millions of GPUs, using any application-specific integrated circuit, within Nvidia’s rack-scale systems and the Nvidia end-to-end networking platform, which delivers up to 800 gigabits per second of throughput.

The company said that using NVLink Fusion, Fujitsu Ltd. and Qualcomm Technologies Inc. CPUs can also be integrated with Nvidia GPUs to build high-performance Nvidia AI factories.

AI chipmaker partners working with Nvidia, creating custom AI compute deployable on Nvidia NVLink, include MediaTek Inc., Marvell Technology Inc., Alchip Technologies Ltd., Astera Labs Inc., Synopsys Inc. and Cadence Design Systems Inc.

“HPC and AI workload demands are unique and evolving rapidly, and hyperscalers architecting the most advanced custom AI systems rely on Cadence to deliver enabling technology from data centers to the edge,” said Boyd Phelps, senior vice president and general manager of the Silicon Solutions Group at Cadence.

Image: Nvidia