Chip comparison
AWS Inferentia 2 vs Intel Gaudi 3
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 | Intel Gaudi 3 |
|---|---|---|
| Process node | TSMC N7 | TSMC N5 |
| TDP | 250 W | 900 W |
| Memory | 32 GB HBM3 | 128 GB HBM2e |
| Memory bandwidth | 820 GB/s | 3,675 GB/s |
| FP16 (dense) | — | 1,835 TFLOPS |
| BF16 (dense) | 190 TFLOPS | 1,835 TFLOPS |
| FP8 (dense) | 380 TFLOPS | 1,835 TFLOPS |
| Form factor | Inf2 EC2 instance | OAM |
| Announced | 2022-12-01 | 2024-04-09 |
| Released | 2023-04-01 | 2024-09-01 |
Robots running AWS Inferentia 2
No robots publicly running it yet.
Robots running Intel Gaudi 3
No robots publicly running it yet.
Data centers with AWS Inferentia 2
No data centers publicly running it yet.
Data centers with Intel Gaudi 3
No data centers publicly running it yet.
Common questions
AWS Inferentia 2 vs Intel Gaudi 3: which is faster for training?
Intel Gaudi 3 has 4.83x the dense FP8 throughput of the other (AWS Inferentia 2: 380 TFLOPS; Intel Gaudi 3: 1,835 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 Intel Gaudi 3: which has more memory?
Intel Gaudi 3 carries more HBM (AWS Inferentia 2: 32 GB HBM3; Intel Gaudi 3: 128 GB HBM2e). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.
AWS Inferentia 2 vs Intel Gaudi 3: which is more power-efficient?
Dense FP8 TFLOPS per watt: AWS Inferentia 2 1.52 (380 ÷ 250 W); Intel Gaudi 3 2.04 (1,835 ÷ 900 W). Intel Gaudi 3 wins at the die level; system-level efficiency also depends on cooling and interconnect.
See also: every chip comparison · AWS Inferentia 2 full page · Intel Gaudi 3 full page.