The future of personal AI computing has arrived, and it fits right on your desk. Nvidia has unveiled Project Digits at CES 2025, a groundbreaking $3,000 personal AI supercomputer that's set to revolutionize how developers, students, and AI enthusiasts interact with artificial intelligence.
Power Meets Practicality
Don't let its compact size fool you. Taking design cues from the Mac Mini, Project Digits packs an impressive punch in its sleek, desktop-friendly form factor.
At its heart lies the revolutionary GB10 Grace Blackwell Superchip, a masterpiece of engineering developed in partnership with MediaTek.
This powerhouse can handle AI models with up to 200 billion parameters, putting serious computational power within reach of individual users.
Technical Specifications That Impress
The specs of Project Digits read like an AI enthusiast's wish list. With 128GB of unified memory and up to 4TB of lightning-fast NVMe storage, it's built to handle serious workloads.
Need even more power? Link two units together, and you're looking at capability for managing up to 405 billion parameters – giving Meta's Llama 3.1 a run for its money.
Revolutionary Processing Power
The GB10 chip delivers up to 1 petaflop of AI performance at FP4 precision, featuring Nvidia's latest CUDA and Tensor Cores.
These components work in perfect harmony with 20 Arm-based cores, connected through NVLink-C2C technology, ensuring maximum performance without compromising power efficiency.
Software Ecosystem and Support
Project Digits isn't just about hardware. Users get access to Nvidia's extensive AI software library, including:
- Comprehensive development kits
- Pre-trained models from the Nvidia NGC catalog
- Linux-based Nvidia DGX OS
- Support for PyTorch and Jupyter notebooks
- NeMo framework for model fine-tuning
- RAPIDS libraries for accelerated data science
Seamless Integration for Developers
The system allows developers to perfect their models locally before scaling to cloud platforms, maintaining consistency through the Grace Blackwell architecture.
For those just starting their AI journey, Nvidia has also introduced the $249 Jetson Orin Nano Super, capable of handling models up to 8 billion parameters.
