Chip comparison
AWS Inferentia 2 vs Google TPU v5e
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.
| Field | AWS Inferentia 2 | Google TPU v5e |
|---|---|---|
| Process node | TSMC N7 | — |
| TDP | 250 W | 170 W |
| Memory | 32 GB HBM3 | 16 GB HBM2 |
| Memory bandwidth | 820 GB/s | 819 GB/s |
| BF16 (dense) | 190 TFLOPS | 197 TFLOPS |
| FP8 (dense) | 380 TFLOPS | — |
| INT8 (dense) | — | 393 TOPS |
| Form factor | Inf2 EC2 instance | OAM (v5e pod, up to 256 chips) |
| Announced | 2022-12-01 | 2023-08-29 |
| Released | 2023-04-01 | 2023-11-01 |
Robots running AWS Inferentia 2
No robots publicly running it yet.
Robots running Google TPU v5e
No robots publicly running it yet.
Data centers with AWS Inferentia 2
No data centers publicly running it yet.
Data centers with Google TPU v5e
Common questions
AWS Inferentia 2 vs Google TPU v5e: which is faster for training?
AWS Inferentia 2 has 1.93x the dense FP16/BF16 throughput of the other (AWS Inferentia 2: 380 TFLOPS; Google TPU v5e: 197 TFLOPS). Real-world training speed also depends on memory bandwidth, interconnect, and software stack: see the spec diff for those inputs.
AWS Inferentia 2 vs Google TPU v5e: which has more memory?
AWS Inferentia 2 carries more HBM (AWS Inferentia 2: 32 GB HBM3; Google TPU v5e: 16 GB HBM2). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.
AWS Inferentia 2 vs Google TPU v5e: which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: AWS Inferentia 2 1.52 (380 ÷ 250 W); Google TPU v5e 1.16 (197 ÷ 170 W). AWS Inferentia 2 wins at the die level; system-level efficiency also depends on cooling and interconnect.
AWS Inferentia 2 vs Google TPU v5e: which is more widely used?
AWS Inferentia 2: 0 robots and 0 data centers publicly running it. Google TPU v5e: 0 robots and 1 data center. Empty here means no operator has said publicly, not zero adoption in the market.
See also: every chip comparison · AWS Inferentia 2 full page · Google TPU v5e full page.