NVIDIA announced that its GH200 Grace Hopper Superchip is now in full production, supporting systems designed to run complex AI and high performance computing (HPC) workloads. The GH200-powered systems join over 400 system configurations based on NVIDIA's latest CPU, GPU, and DPU architectures such as Grace, Hopper, Ada Lovelace, and BlueField. These configurations help meet the growing demand for generative AI, which is transforming industries like healthcare, finance, and business services. At COMPUTEX, NVIDIA CEO Jensen Huang revealed new systems, partners, and further details surrounding the GH200 Grace Hopper Superchip. The chip integrates the Arm-based NVIDIA Grace CPU and Hopper GPU architectures using NVIDIA NVLink-C2C interconnect technology, delivering up to 900GB/s total bandwidth. This is seven times the bandwidth of standard PCIe Gen5 lanes found in traditional accelerated systems, providing powerful computing capabilities for demanding generative AI and HPC applications. The GH200 chips are set to become available later this year and will power systems for global hyperscalers and supercomputing centers in Europe and the U.S. Systems featuring the NVIDIA Grace, Hopper, and Ada Lovelace architectures offer broad support for the NVIDIA software stack, including NVIDIA AI, the Omniverse platform, and RTX technology. The full-stack computing capabilities of these systems enable developers and creators to optimize their work in AI, metaverse applications, and real-time photorealistic rendering.