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Nvidia Set to Release Project Digits Desktop AI Supercomputer

At CES 2025, Nvidia announced a remarkable innovation — the Project Digits desktop AI supercomputer. The advent of this device heralds the shift of AI supercomputing power from massive data centers to personal desktops, bringing unprecedented convenience and support to user groups such as data scientists, AI researchers, and students.

Compact design, powerful performance

Project Digits has a compact design that's small enough to fit easily in the palm of your hand, and it's similar in size to Apple's Mac Mini. However, it is within this small form factor that FP4 floating-point performance of 1 PFLOPS (1quadrillion operations per second) is enough to rival that of some large supercomputers. This innovation, which perfectly combines extreme performance with portable design, enables Project Dits to provide users with powerful AI computing power in a limited space, greatly expanding the scenarios and scope of AI applications.

Hardware configuration, collaborative and efficient

In terms of hardware configuration, Project Dits is equipped with the GB10 Grace Blackwell superchip developed by Nvidia in collaboration with MediaTek. The chip integrates Nvidia's Blackwell GPU and 20-core Grace CPU, and is tightly connected through advanced NVLink C2C technology to ensure high speed and low latency for data transmission. In addition, the device is equipped with 128GB of LPDDR5X memory and 4TB NVMe SSD, which provides ample storage space and fast data reading and writing capabilities for AI model training and running. The addition of the Nvidia ConnectX Smart Network Adapter provides Project Dits with powerful network communication support, enabling it to easily and efficiently connect and transfer data to cloud solutions.

Pictured: Nvidia will launch Project Dits in May 2025

Pictured: Nvidia will launch Project Dits in May 2025

Software support, perfect ecology

To get the most out of Project Digits' hardware, Nvidia pre-installed the full AI Enterprise software stack. This includes a rich set of libraries, frameworks, and infrastructure management tools that enable users to quickly set up a complete AI development and runtime environment. Whether it's training deep learning models or conducting large-scale data analysis and processing, Project Dits provides powerful software support to help users efficiently complete a variety of AI tasks. At the same time, Project Dits can also be used as a Linux workstation running the Nvidia DGX OS distribution, further expanding its use cases and capabilities.

Application scenarios, wide and diverse

The launch of Project Dits brings new possibilities to a wide range of application scenarios. For data scientists, they can quickly prototype, fine-tune, and test a variety of AI models on the on-premise Project Dits system without relying on remote cloud resources, greatly improving productivity. AI researchers can leverage Project Digits' powerful computing power to conduct more complex and in-depth AI algorithm research and innovation, and promote the continuous development of AI technology. In addition, Project Dits can also be used as a teaching and research tool for universities and research institutes to help students and researchers better learn and master AI technologies and cultivate future AI talents.

The price and listing are highly anticipated

Project Dits will be generally available in May 2025 with a starting price of $3,000. Although the price is relatively high, it is attractive for the target user group due to its strong performance and wide range of application value. "AI will go mainstream in every application in every industry," said NVIDIA CEO Jensen Huang. With Project Digits, the Grace Blackwell superchip will be in the hands of millions of developers. Put AI supercomputers on the desks of every data scientist, AI researcher, and student so they can participate and shape the AI era. "This shows that Nvidia has high hopes for Project Digits, which will be an important force in driving the adoption and adoption of AI technology.

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