Cisco UCSX-GPU-MI210 | Instinct MI210 GPU, 64GB HBM2e, 300W, PCIe 4.0 x16

Q: Which Cisco UCS systems support the UCSX-GPU-MI210?
A: The UCSX-GPU-MI210 is designed for the Cisco UCS X-Series modular system, specifically the UCS X440p PCIe Node with Riser Type A. It requires PCIe Gen4 x16 connectivity and is deployed within the UCS X9508 chassis infrastructure. It is not compatible with the UCS X210c M6/M7 compute nodes.

Q: What workloads benefit most from the MI210 accelerator?
A: The MI210 excels in double-precision HPC applications including scientific simulations, computational fluid dynamics, molecular modeling, and finite element analysis. It also accelerates AI and machine learning workloads requiring large memory capacity, such as deep learning training with FP16/BF16 precision and large-scale data analytics.

Q: Can multiple MI210 GPUs be connected together?
A: Yes, the MI210 features up to three AMD Infinity Fabric links enabling direct GPU-to-GPU communication. In dual-GPU configurations, you can achieve 300GB/s aggregate bandwidth, and in quad-GPU configurations up to 600GB/s, allowing efficient scaling for multi-GPU HPC and AI workloads.

Q: What software and frameworks are compatible with the MI210?
A: The MI210 is compatible with AMD ROCm open-source software stack, which supports popular frameworks including PyTorch, TensorFlow, and various HPC applications. The HIP conversion tool assists in porting CUDA applications, and AMD Infinity Hub provides pre-optimized containers for common workloads.

Q: What are the power and cooling requirements?
A: The MI210 has a 300W TDP and uses an 8-pin EPS12V power connector. It features passive cooling design, requiring adequate server airflow for proper thermal management. The dual-slot FHFL form factor fits standard 2U GPU-capable server configurations with sufficient PCIe Gen4 x16 slot availability.