NVIDIA Project Digits, a $3,000 standalone AI supercomputer designed to democratize access to advanced AI capabilities for designers, analysts, and students. Announced at CES 2025, this compact desktop framework is powered by the cutting-edge GB10 Beauty Blackwell superchip, which enables it to handle AI models with up to 200 billion parameters. It reduces reliance on the cloud and provides unparalleled security, privacy, and compliance. From complex interfaces to mathematical solving, to developing agents, and building an end-to-end generative AI, Digits has everything you need.
Key Features of Project DIGITS
- GB10 Grace Blackwell Superchip: Developed in collaboration with MediaTek, this chip combines an NVIDIA Blackwell GPU with CUDA and Tensor cores, and an Arm-based NVIDIA Grace CPU featuring 20 efficiency cores.
- Memory and Storage: Equipped with 128GB of unified memory and up to 4TB of NVMe storage, Nvidia Project DIGITS is tailored for handling large AI workloads.
- Scalability: For more demanding applications, two DIGITS systems can be linked using NVIDIA’s high-speed interconnect, supporting models with up to 405 billion parameters.
- Software Support: The system runs on NVIDIA’s Linux-based DGX OS and includes access to NVIDIA’s AI software tools, such as the NeMo framework and RAPIDS libraries. It also supports popular frameworks like PyTorch, Python, and Jupyter notebooks.
Democratizing AI Research
NVIDIA Project Digits is designed to fulfill complex tasks such as cutting-edge AI research and application development. By providing a high-performance, affordable system, NVIDIA strives to give users, analysts, small labs, and educational institutions the ability to explore large-scale AI models without relying on cloud-based services.
NVIDIA Project Digit comes with the following software:
- Linux-based Nvidia DGX OS: It runs on a powerful, Linux-based operating system optimized for AI workloads, ensuring stability and performance.
- Pre-installed Nvidia AI Stack: Provides immediate access to Nvidia’s extensive AI tools and frameworks, which simplify the development process.
- Nvidia AI: Provides a suite of AI and data analytics software, ensuring enterprise-grade support and protection for your AI workflow.
- Nvidia NGC Catalog: The software offers a rich assortment of development kits, frameworks, and pre-trained models, facilitating efficient AI model development and deployment. With which you can easily experiment with AI.
Market Implications
The introduction of Project Digits reflects Nvidia’s commitment to making AI more accessible. By providing a powerful desktop solution at a relatively affordable price, Nvidia project Digits is specifically designed for AI researchers, data scientists, students, and developers working with large AI models. It gives these users the ability to prototype, fine-tune, and manage AI models locally, in the cloud, or within a data center, giving them flexibility and control over their AI development workflow.
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The potential use cases for numbers are limitless and variable. Designers can use it to model modern AI applications, fine-tune LLMs for specific tasks, create AI-powered components, and learn about untapped AI computations and frameworks. The ability to run large AI models locally unlocks untapped potential outcomes for AI development, empowering rapid cycles and experimentation.
Availability
NVIDIA Project DIGITS is scheduled to be released in May 2025, with a starting price of $3,000. Interested parties can sign up by visiting the official NVIDIA website to receive updates on product availability.
Conclusion
A major step in the democratization of AI technology is the launch of NVIDIA’s Project DIGITS. By offering a powerful, affordable, and accessible supercomputer, NVIDIA is creating an environment that will accelerate AI innovation in a variety of fields, from education to business. With the ability to run large AI models locally and the flexibility to deploy them in the cloud or data centers, developers have never had more control and power over their AI workflows. But with Digit, this problem will be greatly reduced, indicating how people will use their own supercomputers for their professional work in the future.
