Cisco CAI-GPU-MI210 | Instinct MI210 GPU Accelerator, 64GB HBM2e, 300W, PCIe 4.0

Q: What workloads is the AMD Instinct MI210 optimized for?
A: The MI210 excels in double-precision HPC applications such as computational fluid dynamics, molecular dynamics, climate modeling, seismic analysis, and genomics. It also supports machine learning training with 181 TFLOPS FP16/BF16 performance and is compatible with PyTorch and TensorFlow via the ROCm software stack.

Q: Can I connect multiple MI210 accelerators together?
A: Yes, the MI210 features up to three Infinity Fabric links enabling direct GPU-to-GPU communication at 100 GB/s per link. You can build 2-way or 4-way GPU clusters within a single server for scaled parallel workloads, with coherent memory access across GPUs in dual or quad hives.

Q: What server platforms support the MI210?
A: The MI210 is a standard PCIe 4.0 x16 dual-slot FHFL accelerator compatible with most enterprise and data center servers that have available PCIe slots and sufficient power. It pairs naturally with AMD EPYC CPU platforms for optimal Infinity Fabric integration and works in 2U or larger GPU-capable rack servers.

Q: What software stack does the MI210 use?
A: The MI210 uses the AMD ROCm open-source software platform with upstream support for PyTorch, TensorFlow, and major HPC frameworks. The HIP conversion tool assists in porting CUDA applications, and AMD Infinity Hub provides pre-optimized containers for AI and HPC applications.

Q: Does the MI210 require active cooling or special thermal management?
A: The MI210 uses passive cooling and relies on the server chassis airflow for thermal management. Ensure your server has adequate front-to-back airflow and that PCIe slots meet thermal requirements for 300W dual-slot accelerators. No active fans are present on the card itself.