AMD Instinct MI210

The MI210 takes a single CDNA 2 Graphics Compute Die, the same building block used in pairs for the MI250/MI250X, and packages it as a conventional PCIe add-in card rather than an OAM module. That makes it far easier to deploy in standard rackmount servers that don't have OAM sled support, at the cost of roughly half the compute units, memory, and bandwidth of the dual-die MI250X.

We'd point smaller HPC clusters and AI research labs without OAM-capable server infrastructure toward the MI210 first, it delivers real CDNA 2 double-precision performance and ROCm software compatibility in a card that drops into off-the-shelf PCIe servers. It's not the card to reach for if you're chasing maximum throughput per node, the MI250X packs roughly double the compute and memory in the same generation, just in a form factor that needs purpose-built server hardware.

Against its sibling the MI250X, the MI210 has half the compute units (104 vs 220), half the memory (64GB vs 128GB), and about half the bandwidth (1.6 TB/s vs 3.2 TB/s), but it fits in a standard PCIe slot instead of requiring OAM sled infrastructure, a meaningful deployment advantage for smaller data centers. Against the NVIDIA A100 PCIe (80GB), the MI210 has less memory but is a more accessible entry point into CDNA 2 for teams already running ROCm elsewhere in their stack. Against AMD's newer MI300X, the MI210's older HBM2e memory and CDNA 2 architecture leave it well behind on both AI throughput and capacity, it's now positioned as an entry-level/legacy option rather than a current flagship. Pricing is enterprise-quote-only rather than fixed retail pricing.