Now Available, Fully Customizable Foundation Model Brings Generalized Skills and Reasoning to Humanoid RobotsNVIDIA, Google DeepMind and Disney Research Collaborate to Develop Next-Generation Open-Source Newton Physics EngineNew Omniverse Blueprint for Synthetic Data Generation and Open-Source Dataset Jumpstart Physical AI Data Flywheel SAN JOSE, Calif., March 18, 2025 (GLOBE NEWSWIRE) -- GTC -- NVIDIA today announced a portfolio of technologies to supercharge humanoid robot development, including NVIDIA Is ...

Now Available, Fully Customizable Foundation Model Brings Generalized Skills and Reasoning to Humanoid RobotsNVIDIA, Google DeepMind and Disney Research Collaborate to Develop Next-Generation Open-Source Newton Physics EngineNew Omniverse Blueprint for Synthetic Data Generation and Open-Source Dataset Jumpstart Physical AI Data Flywheel SAN JOSE, Calif., March 18, 2025 (GLOBE NEWSWIRE) -- GTC -- NVIDIA today announced a portfolio of technologies to supercharge humanoid robot development, including NVIDIA Is ...

Core Insights - NVIDIA has launched DGX Spark and DGX Station, personal AI supercomputers powered by the NVIDIA Grace Blackwell platform, aimed at developers, researchers, and data scientists [1][2][3] - These systems allow users to prototype, fine-tune, and run large AI models locally or on NVIDIA DGX Cloud, enhancing accessibility to advanced AI capabilities [2][7] Product Features - DGX Spark is described as the world's smallest AI supercomputer, designed to empower millions of users with high performance for generative and physical AI applications [4] - The heart of DGX Spark is the NVIDIA GB10 Grace Blackwell Superchip, which delivers up to 1,000 trillion operations per second for AI compute tasks [5] - DGX Station features the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip, providing 784GB of coherent memory space for large-scale AI workloads [8] Technical Specifications - The GB10 Superchip utilizes NVIDIA NVLink-C2C interconnect technology, offering 5x the bandwidth of fifth-generation PCIe, optimizing performance for memory-intensive workloads [6] - DGX Station includes the NVIDIA ConnectX-8 SuperNIC, supporting networking speeds of up to 800Gb/s, facilitating high-speed connectivity for larger workloads [9] Software and Integration - Users of DGX Spark can seamlessly transition their models to DGX Cloud or other infrastructures with minimal code changes, streamlining the development process [7] - The integration of NVIDIA CUDA-X AI platform and NVIDIA NIM microservices enhances the performance and deployment of AI applications [10] Availability - Reservations for DGX Spark systems are open, while DGX Station is expected to be available later this year through manufacturing partners [11]