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.