• 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

The Ultimate Solution for Your Computing Needs

Machine 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™ accelerators

HPC 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