Arm-powered NVIDIA Project DIGITS Puts High-Performance AI in the Hands of Millions of Developers 

One of the most exciting trends we see today is the rapid expansion and availability of AI-based applications and features across a variety of edge devices. As AI continues to grow and advance, it is crucial that AI researchers, data scientists, developers and students have access to high performance compute that can be used to develop or run the latest models, whether they are language, vision or multi-modal. With the pace of AI innovation moving faster than ever, we need to enable access to this performance beyond the cloud at the edge, bringing new capabilities directly to developers.

Putting game-changing AI performance at every developers’ fingertips

A big step towards the vision of developing and deploying AI everywhere is NVIDIA Project DIGITS, a personal AI supercomputer announced during NVIDIA founder and CEO Jensen Huang’s keynote at the Consumer Electronics Show (CES) 2025 today (Monday 6th January 2025). The Project DIGITS Linux-based system featuring Arm-powered CPU cores makes it possible for every AI developer to have a high performance AI system on their desk.

NVIDIA Project DIGITS is powered by the NVIDIA GB10 Grace Blackwell Superchip, bringing together the NVIDIA Grace CPU and NVIDIA Blackwell GPU with the latest-generation CUDA cores and fifth-generation Tensor Cores connected via NVLink^®-C2C chip-to-chip interconnect and 128GB of unified memory. The NVIDIA Grace CPU features our leading-edge, highest performance Arm Cortex-X and Cortex-A technology, with 10 Arm Cortex-X925 and 10 Cortex-A725 CPU cores. The NVIDIA GB10 delivers up to one petaflop¹ (1000 TFLOPs) of AI computing performance at FP4 precision, enabling developers to prototype, fine-tune and run inferencing with large AI models and work in conjunction with the cloud or data center.

The value of the Arm compute platform

Leveraging the ubiquitous Arm compute platform allows new AI models and applications to run more efficiently and faster at the edge. In consumer technology markets, our CPU technologies are found at the heart of today’s edge devices and designed to target the most performant devices entering the market, whether that’s the latest Arm CPUs such as those used in Project DIGITS, or as part of Arm Compute Subsystems (CSS) for Client. All of these technologies are optimized for maximum performance throughout and peak efficiency across real-world applications and workloads.

The Arm compute platform also offers the flexibility to use different computational engines for different AI use cases. In NVIDIA Project DIGITS, the Arm-based NVIDIA Grace CPU and NVIDIA Blackwell GPU serve complementary roles, enabling developers to use these components for a variety of workloads. This heterogeneous computing approach is essential to achieving maximum AI performance, while managing memory utilization and power consumption.

“Our collaboration with Arm on the GB10 Superchip will fuel the next generation of innovation in AI, combining NVIDIA’s AI expertise with Arm’s scalable compute platform to deliver exceptional performance and efficiency,” said Ashish Karandikar, VP of SoC Products at NVIDIA. “Now, with the introduction of Project DIGITS, every AI developer and researcher can have a powerful supercomputer at their fingertips.”

Unlocking software innovation

For developers, it is critical to have a fully integrated hardware and software AI platform. Project DIGITS uses the open-source Linux operating system, and users can access an extensive library of NVIDIA AI software, including software development tools, libraries, frameworks and AI models available in the NVIDIA NGC catalog and the NVIDIA Developer portal to accelerate their generative AI workflows. 

Arm’s presence in datacenters with NVIDIA Grace Hopper and Grace Blackwell provides a consistent platform architecture across both datacenter and edge environments, allowing developers to seamlessly use the same set of tools for AI application development. Moreover, Arm has been supporting and driving critical work in open-source developer communities to enable the software needed to deploy AI everywhere. As a result, over 20 million software developers worldwide are building their applications on the Arm compute platform, enabling a growing open-source community that is innovating at a rapid scale.

The ideal platform for high performance AI compute

Arm is the world’s leading, most pervasive compute platform for AI now and in the future, making it an ideal platform for the GB10 Superchip used in Project DIGITS, a powerful PC desktop platform that can run large AI models of up to 200B parameters, which has not been possible until now. This influence across the AI ecosystem delivers flexible, performant and power-efficient AI capabilities to millions of developers worldwide. Working with NVIDIA and our leading software ecosystem, we cannot wait to see the next generation of highly innovative AI applications deployed.

¹ This is a petaflop based on FP4, as referenced here.