DEPLOYDatabase

Chip comparison

AMD Instinct MI250X vs AWS Trainium (Trn1)

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 Trainium (Trn1)
Process nodeTSMC N6TSMC N7
TDP560 W500 W
Memory128 GB HBM2e32 GB HBM2e
Memory bandwidth3,200 GB/s820 GB/s
FP16 (dense)383 TFLOPS—
BF16 (dense)383 TFLOPS210 TFLOPS
INT8 (dense)383 TOPS—
Form factorOAMTrn1 EC2 instance
Announced2021-11-082020-12-01
Released2022-06-012022-10-01

Robots running AMD Instinct MI250X

No robots publicly running it yet.

Robots running AWS Trainium (Trn1)

No robots publicly running it yet.

Data centers with AMD Instinct MI250X

No data centers publicly running it yet.

Data centers with AWS Trainium (Trn1)

No data centers publicly running it yet.

Common questions

AMD Instinct MI250X vs AWS Trainium (Trn1): which is faster for training?

AMD Instinct MI250X has 1.82x the dense FP16/BF16 throughput of the other (AMD Instinct MI250X: 383 TFLOPS; AWS Trainium (Trn1): 210 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 Trainium (Trn1): which has more memory?

AMD Instinct MI250X carries more HBM (AMD Instinct MI250X: 128 GB HBM2e; AWS Trainium (Trn1): 32 GB HBM2e). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.

AMD Instinct MI250X vs AWS Trainium (Trn1): which is more power-efficient?

Dense FP16/BF16 TFLOPS per watt: AMD Instinct MI250X 0.68 (383 ÷ 560 W); AWS Trainium (Trn1) 0.42 (210 ÷ 500 W). AMD Instinct MI250X 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 Trainium (Trn1) full page.