NVIDIA Unveils Revolutionary DGX Personal AI Supercomputers for Developers and Researchers
NVIDIA’s Game-Changing Technology Empowers a New Class of AI Computing
At GTC, NVIDIA revealed new DGX personal AI supercomputers. They run on the NVIDIA Grace Blackwell platform. NVIDIA built two models: DGX Spark and DGX Station. These machines give developers, researchers, data scientists, and students fast AI power at their desktops. NVIDIA worked with ASUS, Dell Technologies, HP Inc., and Lenovo. This work brings AI closer to everyone.
Bridging the Gap: Desktop Supercomputers Meet AI Innovation
DGX Spark and DGX Station bring data center AI to the desktop. They let users build, refine, and run complex models on their own machines. Users can also shift work easily to NVIDIA DGX Cloud and other fast cloud systems.
Jensen Huang, NVIDIA’s CEO, said, “AI has changed every layer of computing. Now, a new kind of computer appears. It is meant for AI-native developers and AI-native apps.”
Discover the Power of DGX Spark
DGX Spark is the smallest AI supercomputer. It is made for researchers, data scientists, robotics experts, and students. It helps them explore generative AI and physical AI. The system uses the NVIDIA GB10 Grace Blackwell Superchip. It runs on an NVIDIA Blackwell GPU that has fifth-generation Tensor Cores and FP4 support.
DGX Spark can perform up to 1,000 trillion operations each second. This speed helps with both fine-tuning and inference. It supports models like the NVIDIA Cosmos Reason world model and the NVIDIA GR00T N1 robot model. NVIDIA NVLink™-C2C interconnect technology keeps data close between the GPU and CPU. This setup makes work smoother.
NVIDIA officials said, “DGX Spark lets users move models from desktop to cloud without extra work.” This change cuts down on the coding needed for AI projects.
Unleashing Potential with DGX Station
DGX Station offers fixed data center power in a desktop. It is NVIDIA’s first desktop machine built with the GB300 Grace Blackwell Ultra Superchip. It has 784GB of coherent memory. This size suits heavy training and inference jobs.
The GB300 chip works with an NVIDIA Blackwell Ultra GPU and advanced Tensor Cores. NVLink-C2C technology keeps the CPU and GPU talking fast. NVIDIA ConnectX®-8 SuperNIC boosts network speeds up to 800Gb/s. This speed lets several DGX Stations work together.
DGX Station also uses the NVIDIA CUDA-X™ AI platform. Teams enjoy high performance for desktop AI work. NVIDIA NIM™ microservices and the NVIDIA AI Enterprise software help users build optimized inference services easily.
Availability and Future Prospects
Customers could reserve DGX Spark right after the announcement. DGX Station will come later this year. It will be available thanks to partners like ASUS, BOXX, Dell, HP, Lambda, and Supermicro.
NVIDIA invites users to watch the GTC keynote and join more sessions with NVIDIA and industry leaders. These sessions run through March 21. With DGX Spark and DGX Station, NVIDIA reshapes personal computing. It gives a new generation of AI innovators the tools they need. Today, AI development and research are closer than ever.
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