Nvidia CEO Jensen Huang unveiled Project Digits, a powerful desktop computer designed for home AI enthusiasts. This $3,000 device boasts 1 PFLOPS of FP4 floating point performance and is powered by a 20-core GB10 Grace Blackwell Superchip. Project Digits is capable of running large language models locally, targeting users who require full-power AI capabilities on their desktops.
During a 90-odd-minute keynote address at CES 2025 in Las Vegas on Monday, Nvidia CEO Jensen Huang showed off a powerful desktop computer for home AI enthusiasts. Currently going by Project Digits , this $3,000 device takes up about as much space as a Mac mini and offers 1 PFLOPS of FP4 floating point performance.
Nvidia reportedly used its DGX 100 server design as inspiration for the self-contained desktop AI, with Projects Digits being powered by a 20-core GB10 Grace Blackwell Superchip on 128GB of LPDDR5X memory with a 4TB NVMe solid-state drive (SSD). 'AI will be mainstream in every application for every industry,' Huang said during the keynote. 'With Project Digits, the Grace Blackwell Superchip comes to millions of developers. Placing an AI supercomputer on the desks of every data scientist, AI researcher, and student empowers them to engage and shape the age of AI.' Nvidia collaborated extensively with Arm to create the Grace Blackwell chip. 'Our collaboration with Arm on the GB10 Superchip will fuel the next generation of innovation in AI,' Ashish Karandikar, Nvidia’s vice president of SoC Products, said in the company’s press release. This much compute power means a Project Digits device will be able to locally run a 200-billion-iteration AI large language model (LLM) when it is scheduled for release in May. ChatGPT using the GPT-4o model, for example, is only 12-billion iterations. Digits devices can also be tethered together, increasing their theoretical max model size up to 405 billion iterations. The company is targeting users who need full-power LLMs running locally as their primary customers for Project Digit
AI NVIDIA Project Digits Desktop AI Large Language Models
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