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NVIDIA Expands AI for Enterprises with Blackwell-Based GPUs and Workstations
NVIDIA has unveiled a lineup of AI-powered computing solutions designed to accelerate enterprise workloads at this week's NVIDIA GTC conference in San Jose, Calif.
The company announced its NVIDIA DGX Spark and NVIDIA DGX Station personal AI supercomputers, powered by the NVIDIA Grace Blackwell platform. These systems 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 this week, 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.
NVIDIA said enterprises across sectors such as healthcare, manufacturing, media and entertainment, and genomics research are set to leverage NVIDIA's Blackwell platform. Cloud providers including AWS, Google Cloud, Microsoft Azure, IBM Cloud and CoreWeave will be among the first to offer RTX PRO 6000 Blackwell Server Edition instances.
Meanwhile, workstation partners like Dell, HP, Lenovo, BOXX and Razer will roll out RTX PRO Blackwell GPUs in desktops and laptops starting this spring.