DEPLOYDatabase

Chip comparison

AMD Instinct MI300X 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 MI300XAWS Trainium (Trn1)
Process nodeTSMC N5 + N6 (chiplet)TSMC N7
Transistors (B)153
TDP750 W500 W
Memory192 GB HBM332 GB HBM2e
Memory bandwidth5,300 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
Launch price (list)$15,000
Form factorOAMTrn1 EC2 instance
Announced2023-12-062020-12-01
Released2024-01-012022-10-01

Robots running AMD Instinct MI300X

No robots publicly running it yet.

Robots running AWS Trainium (Trn1)

No robots publicly running it yet.

Data centers with AMD Instinct MI300X

No data centers publicly running it yet.

Data centers with AWS Trainium (Trn1)

No data centers publicly running it yet.

Common questions

AMD Instinct MI300X vs AWS Trainium (Trn1): which is faster for training?

AMD Instinct MI300X has 12.45x the dense FP16/BF16 throughput of the other (AMD Instinct MI300X: 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 MI300X vs AWS Trainium (Trn1): which has more memory?

AMD Instinct MI300X carries more HBM (AMD Instinct MI300X: 192 GB HBM3; 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 MI300X vs AWS Trainium (Trn1): which is more power-efficient?

Dense FP16/BF16 TFLOPS per watt: AMD Instinct MI300X 3.49 (2,614 ÷ 750 W); AWS Trainium (Trn1) 0.42 (210 ÷ 500 W). AMD Instinct MI300X wins at the die level; system-level efficiency also depends on cooling and interconnect.

See also: every chip comparison · AMD Instinct MI300X full page · AWS Trainium (Trn1) full page.