PCIe graphics card Instinct™ MI6

Versatile training and inference accelerator for machine intelligence and deep learning. Based on the “Polaris” GRAPHICS ARCHITECTURE built to tackle training and inference workloads 36 COMPUTE UNITS available to run many smaller batches of data simultaneously against trained deep learning neural networks Up to 5.7 TFLOPS of peak FP32 and FP16 compute performance to speed up compute intensive machine intelligence 38 GFLOPS/watt peak FP16/FP32 performance. Offering a great low-cost, highly-efficient server solution for inference and edge-training 16GB of GDDR5 MEMORY, up to 224GB/s memory bandwidth Passively cooled, 150W TDP board power – single slot board designed to fit in most standard server designs MxGPU for Virtualized Compute Workloads – drive greater utilization and capacity in the data center ROCm Software Platform provides open source Hyperscale and HPC-class solutions Inference and Edge Training for Deep Learning ROCm software platform provides open source Hyperscale platform Open source Linux® drivers, HCC compiler, tools and libraries for full control from the metal forward Optimized MIOpen deep learning framework libraries Large BAR support for mGPU peer to peer MxGPU SR-IOV hardware virtualization for optimized system utilizations Open industry standard support of multiple architectures and industry standard interconnect technologies HPC General Purpose and Development ROCm software platform provides open source HPC-class platform Open source Linux® drivers, HCC compiler, tools and libraries for full control from the metal forward MxGPU SR-IOV hardware virtualization for optimized system utilizations