Nvidia announces $3k personal AI supercomputer called Digits
Nvidia's Project Digits, a $3,000 personal AI supercomputer, launches in May 2025, featuring 200 billion parameter capacity, 1 petaflop performance, and support for popular AI frameworks, enhancing accessibility.
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Nvidia has announced the launch of Project Digits, a personal AI supercomputer priced at $3,000, set to be available in May 2025. This compact system, resembling a desktop PC, is powered by the new GB10 Grace Blackwell Superchip, capable of handling AI models with up to 200 billion parameters. It features 128GB of unified memory and up to 4TB of NVMe storage, with the option to link two systems for a combined capacity of 405 billion parameters. The GB10 chip delivers up to 1 petaflop of AI performance, utilizing advanced CUDA cores and Tensor Cores for efficient processing. Users will have access to Nvidia's AI software library, including development kits and pre-trained models, and the system supports popular frameworks like PyTorch and Jupyter notebooks. This initiative aims to democratize AI development, making powerful computing accessible to data scientists, researchers, and students. Nvidia has previously introduced similar devices, including a more affordable $249 Jetson computer for hobbyists.
- Nvidia's Project Digits is a personal AI supercomputer priced at $3,000.
- The system can handle AI models with up to 200 billion parameters and features 128GB of memory.
- It offers up to 1 petaflop of AI performance and supports popular AI frameworks.
- Users can link two systems for enhanced processing capabilities.
- The launch is aimed at making advanced AI development accessible to a broader audience.
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13 comments"DGX OS 6 Features The following are the key features of DGX OS Release 6:
Based on Ubuntu 22.04 with the latest long-term Linux kernel version 5.15 for the recent hardware and security updates and updates to software packages, such as Python and GCC.
Includes the NVIDIA-optimized Linux kernel, which supports GPU Direct Storage (GDS) without additional patches.
Provides access to all NVIDIA GPU driver branches and CUDA toolkit versions.
Uses the Ubuntu OFED by default with the option to install NVIDIA OFED for additional features.
Supports Secure Boot (requires Ubuntu OFED).
Supports DGX H100/H200."
I have a feeling the software workflows will not run as well as the marketing claims, but the idea is really interesting and in a few years I bet the workflow will be really smooth.
Assuming the CPU is just ARM it should run pretty decently low on idle, might work for a homeserver.
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