Chip comparison
AWS Trainium (Trn1) vs NVIDIA T4 Tensor Core GPU
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 T4 Tensor Core GPU |
|---|---|---|
| Process node | TSMC N7 | TSMC 12FFN |
| Transistors (B) | — | 13.6 |
| Die size | — | 545 mm² |
| TDP | 500 W | 70 W |
| Memory | 32 GB HBM2e | 16 GB GDDR6 |
| Memory bandwidth | 820 GB/s | 320 GB/s |
| FP16 (dense) | — | 65 TFLOPS |
| BF16 (dense) | 210 TFLOPS | — |
| INT8 (dense) | — | 130 TOPS |
| Form factor | Trn1 EC2 instance | PCIe (single-slot, low-profile) |
| Announced | 2020-12-01 | 2018-09-13 |
| Released | 2022-10-01 | 2019-01-01 |
Robots running AWS Trainium (Trn1)
No robots publicly running it yet.
Robots running NVIDIA T4 Tensor Core GPU
No robots publicly running it yet.
Data centers with AWS Trainium (Trn1)
No data centers publicly running it yet.
Data centers with NVIDIA T4 Tensor Core GPU
No data centers publicly running it yet.
Common questions
AWS Trainium (Trn1) vs NVIDIA T4 Tensor Core GPU: which is faster for training?
AWS Trainium (Trn1) has 3.23x the dense FP16/BF16 throughput of the other (AWS Trainium (Trn1): 210 TFLOPS; NVIDIA T4 Tensor Core GPU: 65 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 T4 Tensor Core GPU: which has more memory?
AWS Trainium (Trn1) carries more HBM (AWS Trainium (Trn1): 32 GB HBM2e; NVIDIA T4 Tensor Core GPU: 16 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 T4 Tensor Core GPU: which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: AWS Trainium (Trn1) 0.42 (210 ÷ 500 W); NVIDIA T4 Tensor Core GPU 0.93 (65 ÷ 70 W). NVIDIA T4 Tensor Core GPU 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 T4 Tensor Core GPU full page.