The Ultimate Solution for Your Computing NeedsMachine Intelligence and Deep Learning Neural Network Training- High performance FP16 and FP32 compute- Open software ROCm platform for HPC-class rack scale- Optimized MIOpen deep learning framework libraries- Large BAR support for mGPU peer to peer- Superior compute density and performance per node when combining AMD EPYC™ server processor and Radeon Instinct™ acceleratorsHPC Heterogeneous Compute- Outstanding compute density and performance per node- Open software ROCm platform for HPC class rack scale- Open source Linux drivers, HCC compiler, tools and libraries from the metal forward- Open industry standard support of multiple architectures and industry standard interconnect technologies- Based on cutting-edge “VEGA” GRAPHICS ARCHITECTURE built to handle big data sets and diverse compute workloads- 64 nCU COMPUTE UNITS to accelerate demanding workloads- Up to 12.3 TFLOPS of peak FP32 compute performance to speed up compute intensive machine intelligence- Up to 24.6 TFLOPS of FP16 peak compute performance for deep learning training applications- State-of-the-art memory technology: 16GB of HBM2 MEMORY with ECC2 and HIGH BANDWIDTH CACHE CONTROLLER (HBCC)- Passively cooled, full-height, dual-slot, 300W TDP board power – designed to fit in most standard server designs- MxGPU for Virtualized Compute Workloads – drive greater utilization and capacity in the data center- Advanced Remote Manageability Capabilities, for simplified GPU monitoring in large scale systems