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Chip comparison

AMD Instinct MI300X 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 MI300XAWS Inferentia 2
Process nodeTSMC N5 + N6 (chiplet)TSMC N7
Transistors (B)153
TDP750 W250 W
Memory192 GB HBM332 GB HBM3
Memory bandwidth5,300 GB/s820 GB/s
FP16 (dense)1,307 TFLOPS
BF16 (dense)1,307 TFLOPS190 TFLOPS
FP8 (dense)2,614 TFLOPS380 TFLOPS
INT8 (dense)2,614 TOPS
Launch price (list)$15,000
Form factorOAMInf2 EC2 instance
Announced2023-12-062022-12-01
Released2024-01-012023-04-01

Robots running AMD Instinct MI300X

No robots publicly running it yet.

Robots running AWS Inferentia 2

No robots publicly running it yet.

Data centers with AMD Instinct MI300X

No data centers publicly running it yet.

Data centers with AWS Inferentia 2

No data centers publicly running it yet.

Common questions

AMD Instinct MI300X vs AWS Inferentia 2: which is faster for training?

AMD Instinct MI300X has 6.88x the dense FP8 throughput of the other (AMD Instinct MI300X: 2,614 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 MI300X vs AWS Inferentia 2: which has more memory?

AMD Instinct MI300X carries more HBM (AMD Instinct MI300X: 192 GB HBM3; 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 MI300X vs AWS Inferentia 2: which is more power-efficient?

Dense FP8 TFLOPS per watt: AMD Instinct MI300X 3.49 (2,614 ÷ 750 W); AWS Inferentia 2 1.52 (380 ÷ 250 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 Inferentia 2 full page.