NVIDIA Intros Personal AI Supercomputers

NVIDIA has introduced a new lineup of AI-powered computing solutions designed to accelerate enterprise workloads. The NVIDIA DGX Spark and NVIDIA DGX Station personal AI supercomputers, powered by the NVIDIA Grace Blackwell platform, provide AI developers, researchers and data scientists with powerful tools to prototype, fine-tune and deploy large-scale AI models from their desktops.

"AI has transformed every layer of the computing stack. It stands to reason a new class of computers would emerge — designed for AI-native developers and to run AI-native applications," said Jensen Huang, founder and CEO of NVIDIA. "With these new DGX personal AI computers, AI can span from cloud services to desktop and edge applications."

DGX Spark, previously known as Project DIGITS, is billed as the world's smallest AI supercomputer, featuring the NVIDIA GB10 Grace Blackwell Superchip. It integrates a Blackwell GPU with fifth-generation Tensor Cores and FP4 precision, offering up to 1,000 trillion operations per second of AI compute power. This enables researchers to push the boundaries of generative AI, robotics, and scientific computing, according to the company.

Meanwhile, the DGX Station is the first desktop system built with the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip, delivering 784 GB of coherent memory. It is optimized for enterprise AI development, featuring the NVIDIA ConnectX-8 SuperNIC, which enables 800 Gb/s networking speeds for large-scale, multi-system AI workloads.

Both systems are designed for migration between local computing and cloud-based AI workloads, allowing users to develop and scale applications across NVIDIA DGX Cloud and other datacenter infrastructures. Manufacturing partners such as ASUS, Dell Technologies, HP and Lenovo will offer the new systems later this year.

NVIDIA Announces Blackwell RTX PRO

In addition to its personal AI computing solutions, NVIDIA introduced the RTX PRO 6000 Blackwell Server Edition, the first Blackwell-powered datacenter GPU designed for both AI and graphics-intensive enterprise workloads. With 96GB of GDDR7 memory and support for Multi-Instance GPU (MIG) technology, the RTX PRO 6000 Blackwell Server Edition will enable enterprises to securely partition workloads, improving efficiency for AI and graphics processing.

"Based on early results, we expect great performance from the RTX PRO 6000 Blackwell Server Edition," said Kris Bhaskar, senior fellow and vice president of AI initiatives at KLA. "The increased memory capacity, FP4 reduced precision and new computational capabilities of NVIDIA Blackwell are going to be particularly helpful to KLA and its customers."

RTX PRO Blackwell Series for Workstations and Laptops

NVIDIA also unveiled a lineup of RTX PRO Blackwell GPUs for desktops and mobile workstations. These GPUs cater to professionals in AI, content creation, engineering and design, offering ray tracing, neural rendering, and AI inferencing capabilities.

The new workstation lineup includes:

  • RTX PRO 6000 Blackwell Workstation Edition (24GB VRAM)
  • RTX PRO 5000, 4500, and 4000 Blackwell GPUs
  • RTX PRO 6000 Blackwell Max-Q for laptops
  • RTX PRO 5000, 4000, 3000, 2000, 1000, and 500 Blackwell GPUs for mobile workstations

These GPUs introduce new Streaming Multiprocessors with fourth-generation RT Cores and fifth-generation Tensor Cores supporting FP4 precision and DLSS 4 Multi Frame Generation.

For more information, visit the NVIDIA site.

About the Author

Chris Paoli (@ChrisPaoli5) is the associate editor for Converge360.

Featured

  • Stylized illustration showing cybersecurity elements like shields, padlocks, and secure cloud icons on a neutral, minimalist digital background

    Microsoft Announces Security Advancements

    Microsoft has announced major security advancements across its product portfolio and practices. The work is part of its Secure Future Initiative (SFI), a multiyear cybersecurity transformation the company calls the largest engineering project in company history.

  • illustration with geometric shapes, digital circuitry, and subtle icons of an open book, graduation cap, and lightbulb

    University of Michigan Launches Agentic AI Virtual Teaching Assistant

    At the University of Michigan's Stephen M. Ross School of Business, a new Virtual Teaching Assistant pilot program is utilizing agentic AI to provide students with 24/7 access to support and self-directed learning.

  • young man in a denim jacket scans his phone at a card reader outside a modern glass building

    Colleges Roll Out Mobile Credential Technology

    Allegion US has announced a partnership with Florida Institute of Technology (FIT) and Denison College, in conjunction with Transact + CBORD, to install mobile credential technologies campuswide. Implementing Mobile Student ID into Apple Wallet and Google Wallet will allow students access to campus facilities, amenities, and residence halls using just their phones.

  • university building surrounded by icons for AI, checklists, and data governance

    Improving AI Governance for Stronger University Compliance and Innovation

    AI can generate valuable insights for higher education institutions and it can be used to enhance the teaching process itself. The caveat is that this can only be achieved when universities adopt a strategic and proactive set of data and process management policies for their use of AI.