Chip comparison
AWS Trainium (Trn1) vs NVIDIA L40S
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 Trainium (Trn1) | NVIDIA L40S |
|---|---|---|
| Process node | TSMC N7 | TSMC 4N |
| Transistors (B) | — | 76.3 |
| TDP | 500 W | 350 W |
| Memory | 32 GB HBM2e | 48 GB GDDR6 |
| Memory bandwidth | 820 GB/s | 864 GB/s |
| FP16 (dense) | — | 362 TFLOPS |
| BF16 (dense) | 210 TFLOPS | 362 TFLOPS |
| FP8 (dense) | — | 733 TFLOPS |
| INT8 (dense) | — | 733 TOPS |
| Form factor | Trn1 EC2 instance | PCIe |
| Announced | 2020-12-01 | 2023-08-08 |
| Released | 2022-10-01 | — |
Robots running AWS Trainium (Trn1)
No robots publicly running it yet.
Robots running NVIDIA L40S
No robots publicly running it yet.
Data centers with AWS Trainium (Trn1)
No data centers publicly running it yet.
Data centers with NVIDIA L40S
No data centers publicly running it yet.
Common questions
AWS Trainium (Trn1) vs NVIDIA L40S: which is faster for training?
NVIDIA L40S has 3.49x the dense FP16/BF16 throughput of the other (AWS Trainium (Trn1): 210 TFLOPS; NVIDIA L40S: 733 TFLOPS). Real-world training speed also depends on memory bandwidth, interconnect, and software stack: see the spec diff for those inputs.
AWS Trainium (Trn1) vs NVIDIA L40S: which has more memory?
NVIDIA L40S carries more HBM (AWS Trainium (Trn1): 32 GB HBM2e; NVIDIA L40S: 48 GB GDDR6). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.
AWS Trainium (Trn1) vs NVIDIA L40S: which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: AWS Trainium (Trn1) 0.42 (210 ÷ 500 W); NVIDIA L40S 2.09 (733 ÷ 350 W). NVIDIA L40S wins at the die level; system-level efficiency also depends on cooling and interconnect.
See also: every chip comparison · AWS Trainium (Trn1) full page · NVIDIA L40S full page.