In the world of high-performance computing and deep learning, the NVIDIA DGX H100 shines with its impressive hardware, including 8 NVIDIA H100-GPUs, 18 NVLink connections per GPU, 4 NVIDIA NVSwitches, and 2 terabytes of RAM. To leverage its GPU power, we install NVIDIA/CUDA drivers and set up the Fabric Manager on a system running Red Hat Enterprise Linux release 8.8 (Ootpa).

Introduction Google Coral Dual EdgeTPU is a Mini PCIE card with two built-in Edge Tensor Processing Units (EdgeTPUs) which provide high performance ML inferencing on a low-power ASIC. Why would I need an adapter for a Dual Edge TPU? Coral Dual Edge TPU is one card with two identical TPU cores. Each core has it’s own PCIe interface and motherboard shall have two PCIe busses on m.2 slot to make them both work.