DEPLOYDatabase

Chip comparison

AWS Inferentia 2 vs SambaNova SN40L

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.

FieldAWS Inferentia 2SambaNova SN40L
Process nodeTSMC N7TSMC N5
TDP250 W700 W
Memory32 GB HBM31500 GB DDR5 (three-tier: 64 MB SRAM + 64 GB HBM3 + 1.5 TB DDR5)
Memory bandwidth820 GB/s
FP16 (dense)638 TFLOPS
BF16 (dense)190 TFLOPS
FP8 (dense)380 TFLOPS1,250 TFLOPS
Form factorInf2 EC2 instancePCIe (SN40L DataScale system)
Announced2022-12-012023-09-19
Released2023-04-012024-01-01

Robots running AWS Inferentia 2

No robots publicly running it yet.

Robots running SambaNova SN40L

No robots publicly running it yet.

Data centers with AWS Inferentia 2

No data centers publicly running it yet.

Data centers with SambaNova SN40L

No data centers publicly running it yet.

Common questions

AWS Inferentia 2 vs SambaNova SN40L: which is faster for training?

SambaNova SN40L has 3.29x the dense FP8 throughput of the other (AWS Inferentia 2: 380 TFLOPS; SambaNova SN40L: 1,250 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 SambaNova SN40L: which has more memory?

SambaNova SN40L carries more HBM (AWS Inferentia 2: 32 GB HBM3; SambaNova SN40L: 1500 GB DDR5 (three-tier: 64 MB SRAM + 64 GB HBM3 + 1.5 TB DDR5)). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.

AWS Inferentia 2 vs SambaNova SN40L: which is more power-efficient?

Dense FP8 TFLOPS per watt: AWS Inferentia 2 1.52 (380 ÷ 250 W); SambaNova SN40L 1.79 (1,250 ÷ 700 W). SambaNova SN40L wins at the die level; system-level efficiency also depends on cooling and interconnect.

See also: every chip comparison · AWS Inferentia 2 full page · SambaNova SN40L full page.