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Chip comparison

AMD Instinct MI325X 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 MI325XAWS Trainium (Trn1)
Process nodeTSMC N5 + N6 (chiplet)TSMC N7
TDP1000 W500 W
Memory256 GB HBM3e32 GB HBM2e
Memory bandwidth6,000 GB/s820 GB/s
FP16 (dense)1,307 TFLOPS
BF16 (dense)1,307 TFLOPS210 TFLOPS
FP8 (dense)2,614 TFLOPS
INT8 (dense)2,614 TOPS
Form factorOAMTrn1 EC2 instance
Announced2024-10-102020-12-01
Released2025-01-012022-10-01

Robots running AMD Instinct MI325X

No robots publicly running it yet.

Robots running AWS Trainium (Trn1)

No robots publicly running it yet.

Data centers with AMD Instinct MI325X

No data centers publicly running it yet.

Data centers with AWS Trainium (Trn1)

No data centers publicly running it yet.

Common questions

AMD Instinct MI325X vs AWS Trainium (Trn1): which is faster for training?

AMD Instinct MI325X has 12.45x the dense FP16/BF16 throughput of the other (AMD Instinct MI325X: 2,614 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 MI325X vs AWS Trainium (Trn1): which has more memory?

AMD Instinct MI325X carries more HBM (AMD Instinct MI325X: 256 GB HBM3e; 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 MI325X vs AWS Trainium (Trn1): which is more power-efficient?

Dense FP16/BF16 TFLOPS per watt: AMD Instinct MI325X 2.61 (2,614 ÷ 1000 W); AWS Trainium (Trn1) 0.42 (210 ÷ 500 W). AMD Instinct MI325X wins at the die level; system-level efficiency also depends on cooling and interconnect.

See also: every chip comparison · AMD Instinct MI325X full page · AWS Trainium (Trn1) full page.