Cisco

Cisco UCSC-GPU-MI210 | GPU | Instinct MI210 | 64GB HBM2e ECC | PCIe 4.0 x16 | 300W TDP | 2-slot FHFL passive | HPC/AI

SKU:UCSC-GPU-MI210

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Description

Compute-focused accelerator for HPC and AI workloads, combining high-bandwidth 64GB HBM2e ECC memory with PCIe 4.0 x16 connectivity. The Instinct MI210’s dual-slot FHFL passive form factor is tuned for scale-out servers running scientific computing, AI training/inference, and data analytics via the ROCm ecosystem.

Features

- 64GB HBM2e ECC for extreme bandwidth and reliability
- PCIe 4.0 x16 for high-throughput I/O
- Passive FHFL dual-slot design for data center servers
- Optimized for HPC and AI training/inference
- ROCm ecosystem for open, performant compute
- Scales efficiently in multi-GPU configurations

Warranty

All products sold by XS Network Tech include a 12-month warranty on both new and used items. Our in-house technical team thoroughly tests used hardware prior to sale to ensure enterprise-grade reliability.

All technical data should be verified on the manufacturer data sheets.

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FAQs

Technical Specifications

FAQs

Q: Is MI210 suitable for double-precision HPC workloads?
A: Yes. MI210 targets HPC and AI use cases that benefit from high memory bandwidth and robust compute capability.

Q: What are the chassis requirements?
A: A full-height, full-length, dual-slot PCIe 4.0 x16 slot with adequate data center airflow is required.

Q: Does it support containerized AI frameworks?
A: Yes. It is supported through the ROCm software stack; verify framework and driver versions for your OS.

Q: Can I mix this with other accelerators?
A: Mixing is possible but depends on server qualification, power/thermal headroom, and software/driver compatibility.

Technical Specifications

- Model: Instinct MI210 (CDNA2 architecture)
- Memory: 64GB HBM2e with ECC
- Interface: PCIe 4.0 x16
- TDP: 300W
- Form factor: FHFL, dual-slot
- Cooling: Passive (front-to-back server airflow required)
- Workloads: HPC, AI training/inference, data analytics
- Software stack: ROCm ecosystem support

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