Chip comparison
AWS Trainium (Trn1) vs Intel Gaudi 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.
| Field | AWS Trainium (Trn1) | Intel Gaudi 2 |
|---|---|---|
| Process node | TSMC N7 | TSMC N7 |
| TDP | 500 W | 600 W |
| Memory | 32 GB HBM2e | 96 GB HBM2e |
| Memory bandwidth | 820 GB/s | 2,450 GB/s |
| BF16 (dense) | 210 TFLOPS | 432 TFLOPS |
| Form factor | Trn1 EC2 instance | OAM |
| Announced | 2020-12-01 | 2022-05-10 |
| Released | 2022-10-01 | 2022-09-01 |
Robots running AWS Trainium (Trn1)
No robots publicly running it yet.
Robots running Intel Gaudi 2
No robots publicly running it yet.
Data centers with AWS Trainium (Trn1)
No data centers publicly running it yet.
Data centers with Intel Gaudi 2
No data centers publicly running it yet.
Common questions
AWS Trainium (Trn1) vs Intel Gaudi 2: which is faster for training?
Intel Gaudi 2 has 2.06x the dense FP16/BF16 throughput of the other (AWS Trainium (Trn1): 210 TFLOPS; Intel Gaudi 2: 432 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 Intel Gaudi 2: which has more memory?
Intel Gaudi 2 carries more HBM (AWS Trainium (Trn1): 32 GB HBM2e; Intel Gaudi 2: 96 GB HBM2e). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.
AWS Trainium (Trn1) vs Intel Gaudi 2: which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: AWS Trainium (Trn1) 0.42 (210 ÷ 500 W); Intel Gaudi 2 0.72 (432 ÷ 600 W). Intel Gaudi 2 wins at the die level; system-level efficiency also depends on cooling and interconnect.
See also: every chip comparison · AWS Trainium (Trn1) full page · Intel Gaudi 2 full page.