DEPLOYDatabase

Chip comparison

AMD Instinct MI250X vs AWS Inferentia 2

Side-by-side specs

Straight from each vendor's datasheet. Winner in bold: higher throughput, memory, or transistor count; lower power draw or price. Sparse (2:4) throughput roughly doubles the FP8/INT8 numbers shown.

FieldAMD Instinct MI250XAWS Inferentia 2
Process nodeTSMC N6TSMC N7
TDP560 W250 W
Memory128 GB HBM2e32 GB HBM3
Memory bandwidth3,200 GB/s820 GB/s
FP16 (dense)383 TFLOPS—
BF16 (dense)383 TFLOPS190 TFLOPS
FP8 (dense)—380 TFLOPS
INT8 (dense)383 TOPS—
Form factorOAMInf2 EC2 instance
Announced2021-11-082022-12-01
Released2022-06-012023-04-01

Robots running AMD Instinct MI250X

No robots publicly running it yet.

Robots running AWS Inferentia 2

No robots publicly running it yet.

Data centers with AMD Instinct MI250X

No data centers publicly running it yet.

Data centers with AWS Inferentia 2

No data centers publicly running it yet.

Common questions

AMD Instinct MI250X vs AWS Inferentia 2: which is faster for training?

AMD Instinct MI250X has 1.01x the dense FP16/BF16 throughput of the other (AMD Instinct MI250X: 383 TFLOPS; AWS Inferentia 2: 380 TFLOPS). Real-world training speed also depends on memory bandwidth, interconnect, and software stack: see the spec diff for those inputs.

AMD Instinct MI250X vs AWS Inferentia 2: which has more memory?

AMD Instinct MI250X carries more HBM (AMD Instinct MI250X: 128 GB HBM2e; AWS Inferentia 2: 32 GB HBM3). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.

AMD Instinct MI250X vs AWS Inferentia 2: which is more power-efficient?

Dense FP16/BF16 TFLOPS per watt: AMD Instinct MI250X 0.68 (383 ÷ 560 W); AWS Inferentia 2 1.52 (380 ÷ 250 W). AWS Inferentia 2 wins at the die level; system-level efficiency also depends on cooling and interconnect.

See also: every chip comparison · AMD Instinct MI250X full page · AWS Inferentia 2 full page.