Brand: AMD | Category: GPUs
SKU: AMD-MI210-64GB | Part #: 100-000000272 | MPN: 100-000000272
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The AMD Instinct MI210 64GB HBM2e GPU Accelerator is a versatile, high-performance solution tailored for mainstream data center AI and HPC applications. Equipped with 64GB of HBM2e memory, the MI210 provides a balanced combination of high bandwidth and efficient processing power, making it suitable for a wide range of enterprise workloads. Its architecture is optimized for AI model training, inference, scientific simulations, and data analytics, delivering reliable performance in demanding environments. The MI210's scalable design supports integration into multi-GPU systems, providing flexibility for growing compute needs. Its enterprise-grade reliability, energy efficiency, and optimized driver support make it a trusted choice for data centers aiming to accelerate AI and HPC initiatives efficiently.
| Brand | AMD |
| Category | GPUs |
| SKU | AMD-MI210-64GB |
| Part Number | 100-000000272 |
| Condition | New |
| Capacity | 64GB |
| Form Factor | PCIe |
| Interface | PCIe Gen4 |
| GPU Memory Type | HBM2E |
| GPU Platform | Data Center |
| GPU Architecture | CDNA 2 |
| GPU Memory | 64GB |
| GPU Form Factor | PCIe |
| GPU Interface | PCIe Gen4 |
| NVLink Support | No |
| GPU Support | AMD MI210 |
| AI Optimized | Yes |
The AMD Instinct MI210 64GB HBM2e GPU Accelerator accelerates AI/ML training, inference, scientific HPC, and virtualization (vGPU) workloads. Typical deployments include LLM training clusters, computer-vision pipelines, financial risk modeling, and rendering farms.
Key specifications for the AMD Instinct MI210 64GB HBM2e GPU Accelerator: new condition; gpu memory type HBM2e; gpu platform Data Center; gpu architecture CDNA 2; gpu memory size 64GB; gpu form factor PCIe; gpu interface version PCIe Gen4. Manufacturer part number 100-000000272. For the full datasheet with electrical, environmental, and compliance details, contact our pre-sales engineering team.
The AMD Instinct MI210 64GB HBM2e GPU Accelerator requires a PCIe Gen4 or Gen5 x16 slot, server power adequate for the card's TDP, and CUDA/ROCm driver support in your hypervisor or bare-metal OS. Sales engineering will confirm chassis fit (1U/2U/4U), PCIe lane count, and PSU headroom before quoting.