NVIDIA Launches Project DIGITS: The World’s Smallest AI Supercomputer for Every Developer

NVIDIA has taken a giant leap forward in democratizing artificial intelligence with the launch of Project DIGITS, a revolutionary AI supercomputer powered by the new NVIDIA GB10 Grace Blackwell Superchip. This groundbreaking innovation delivers an unparalleled petaflop of AI computing power, empowering AI researchers, data scientists, and students with unprecedented capabilities—all from their own desks.

                                      


Key Highlights of Project DIGITS

  1. Unmatched AI Performance:
    Powered by the NVIDIA GB10 Superchip, Project DIGITS delivers up to 1 petaflop of AI performance using FP4 precision. This performance makes it capable of running large-scale AI models with up to 200 billion parameters, unlocking new frontiers in AI development.
  2. Compact AI Supercomputer:
    Designed as the world’s smallest AI supercomputer, Project DIGITS runs on a standard electrical outlet, making high-performance AI accessible to developers worldwide.
  3. Seamless Deployment:
    Users can develop, fine-tune, and test AI models on the Grace Blackwell architecture locally, then deploy them seamlessly to NVIDIA DGX Cloud™, data center infrastructure, or other accelerated environments.

GB10 Grace Blackwell Superchip: A Revolution in AI Computing

The heart of Project DIGITS lies in the NVIDIA GB10 Superchip, a system-on-a-chip (SoC) built on the Grace Blackwell architecture. This cutting-edge chip delivers best-in-class power efficiency, performance, and connectivity, thanks to NVIDIA’s collaboration with MediaTek, a leader in Arm-based SoC designs.

GB10 Superchip Features:
  • Fifth-Generation Tensor Cores for accelerated AI tasks.
  • 20 power-efficient Grace CPU cores, based on Arm architecture.
  • 128GB of unified, coherent memory for seamless model development.
  • Up to 4TB of NVMe storage for extensive datasets.
  • NVIDIA ConnectX® Networking to link two DIGITS systems, enabling support for 405-billion-parameter models.

Built for Developers and Enterprises

Project DIGITS offers extensive software support, ensuring seamless integration with modern AI workflows:
  • NVIDIA NGC Catalog: Access to pre-trained models, SDKs, and orchestration tools.
  • Framework Compatibility: Native support for PyTorch, Jupyter Notebooks, and Python-based applications.
  • NVIDIA NeMo™ Framework: Simplifies fine-tuning of large language models.
  • NVIDIA RAPIDS™ Libraries: Accelerates data science workflows.
  • NVIDIA AI Enterprise: Provides enterprise-grade security, updates, and product support.

Developers can prototype on Project DIGITS using the Linux-based NVIDIA DGX OS, scale their projects to production in the cloud, and deploy seamlessly using the NVIDIA AI Enterprise platform.

                                          


Who Can Benefit From Project DIGITS?

NVIDIA’s Project DIGITS is tailored for:
  • AI Researchers seeking to push the boundaries of large-scale model training.
  • Data Scientists needing high-performance, on-desk AI computing for rapid experimentation.
  • Students and Educators aiming to access top-tier AI capabilities in an affordable and compact setup.

Affordable Pricing and Availability

Starting at just $3,000, Project DIGITS makes AI supercomputing remarkably accessible. The system will be available in May 2025 directly from NVIDIA and through top partners.

Why Project DIGITS is a Game-Changer

With Grace Blackwell AI Supercomputing, NVIDIA is reshaping the AI landscape. By putting petaflop-level performance within reach of individual developers and researchers, Project DIGITS bridges the gap between prototyping and production, enabling a future where AI becomes mainstream across industries.

Final Thoughts

NVIDIA’s Project DIGITS marks a new era in AI democratization, ensuring every desk is equipped with the tools needed to create and shape the future of AI innovation. Whether you’re a researcher, student, or enterprise, this is your chance to harness AI like never before.

For more information, visit NVIDIA’s official page.




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