AMD Instinct MI210 64GB HBM2e Data Center Accelerator

Double-precision HPC. Its standout is 22.6 TFLOPS of FP64, class-leading double-precision performance, and FP64 is the high-accuracy format that computational science and engineering depend on: physics, climate modeling, CFD, molecular dynamics, and simulation. With 64GB of HBM2e at 1.6 TB/s, it is a purpose-built accelerator for memory-bound, accuracy-critical HPC. It handles AI as well, but FP64 HPC is what most distinguishes it.

No, and this is the most important thing to understand. The MI210 is an AMD card that runs on the ROCm open software stack, not NVIDIA CUDA. Software built for CUDA does not run unchanged on ROCm. For teams whose HPC or AI software is built for ROCm, uses portable or open frameworks, or can be ported, the MI210 is a strong alternative to NVIDIA cards; for CUDA-locked software, the migration cost must be weighed. MillionMiner will help assess the fit honestly.

Yes. It delivers 181 TFLOPS of FP16 and supports the AI-relevant precisions, and its 64GB holds substantial models, so it is a capable AI training and inference accelerator, on ROCm. The honest framing is HPC-first, AI-strong: the FP64 leadership is what most sets it apart, but it is a genuine AI card too for workloads that run on its software stack.

Because it is the MI210's signature strength and a real differentiator. FP64 double precision is required for numerical accuracy in scientific and engineering computing, and many GPUs, including much of NVIDIA's lineup, have comparatively weak FP64. At 22.6 TFLOPS the MI210 is built for it. If your workload is double-precision HPC, simulation, computational physics, CFD, that capability is the reason to choose this card.

The core difference is software: ROCm versus CUDA. On capability, the MI210's FP64 is very strong, often stronger than comparable NVIDIA cards, and its 64GB HBM2e is generous. Against the NVIDIA A30 or A100-class cards, the MI210 is a real alternative for ROCm-suited HPC and AI, frequently cost-effective. The decision turns on your software stack first and the FP64 and memory needs second. MillionMiner will work through the comparison for your workload.

AMD CDNA 2 architecture, 6,656 stream processors across 104 compute units, a 1700 MHz peak engine clock, 64GB of HBM2e at 1.6 TB/s bandwidth, and peak performance of 22.6 TFLOPS FP64, 45.3 TFLOPS FP32, and 181 TFLOPS FP16, in a passively cooled PCIe add-in-card form, with a 2-year warranty. MillionMiner confirms the configuration and condition in the quote.

Two reasons. Capacity: 64GB holds large simulation datasets and substantial AI models. Bandwidth: 1.6 TB/s is high memory bandwidth, which directly benefits the memory-bound HPC and AI workloads the MI210 targets, simulations and models that move large amounts of data. For HPC especially, that high-bandwidth memory is as important as raw compute.

It is a passively cooled PCIe add-in card, meaning it relies on server chassis airflow rather than an onboard fan, so it needs a host built for passively cooled data center accelerators. MillionMiner confirms the server and cooling fit in the quote, since a passive card in an unsuitable chassis will not cool correctly.

As a CDNA 2 data center part, units may be new or secondary-market depending on availability. MillionMiner verifies each card and confirms its condition in the quote, and a 2-year warranty is noted on the card; coverage terms are confirmed before you order. The same verification discipline applies as across the catalog's data center inventory.

Submit your workload, HPC, double-precision compute, or ROCm-based AI, and scale through the quote form. A MillionMiner specialist confirms the card, its condition, the server and cooling fit, and, importantly, whether the ROCm software stack suits your pipeline, then delivery. Every unit is tested before shipment and shipped worldwide DDP with duties handled, with hosting available, and the specialist will tell you honestly if a CUDA-based NVIDIA card is the better fit for your software.