DEPLOYDatabase

Chip comparison

AWS Inferentia 2 vs NVIDIA GB300 (Blackwell Ultra)

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 2NVIDIA GB300 (Blackwell Ultra)
Process nodeTSMC N7TSMC 4NP
TDP250 W1400 W
Memory32 GB HBM3288 GB HBM3e
Memory bandwidth820 GB/s8,000 GB/s
BF16 (dense)190 TFLOPS
FP8 (dense)380 TFLOPS5,000 TFLOPS
Form factorInf2 EC2 instanceSuperchip (Blackwell Ultra + Grace)
Announced2022-12-012025-03-18
Released2023-04-012025-11-01

Robots running AWS Inferentia 2

No robots publicly running it yet.

Robots running NVIDIA GB300 (Blackwell Ultra)

No robots publicly running it yet.

Data centers with AWS Inferentia 2

No data centers publicly running it yet.

Data centers with NVIDIA GB300 (Blackwell Ultra)

Common questions

AWS Inferentia 2 vs NVIDIA GB300 (Blackwell Ultra): which is faster for training?

NVIDIA GB300 (Blackwell Ultra) has 13.16x the dense FP8 throughput of the other (AWS Inferentia 2: 380 TFLOPS; NVIDIA GB300 (Blackwell Ultra): 5,000 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 NVIDIA GB300 (Blackwell Ultra): which has more memory?

NVIDIA GB300 (Blackwell Ultra) carries more HBM (AWS Inferentia 2: 32 GB HBM3; NVIDIA GB300 (Blackwell Ultra): 288 GB HBM3e). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.

AWS Inferentia 2 vs NVIDIA GB300 (Blackwell Ultra): which is more power-efficient?

Dense FP8 TFLOPS per watt: AWS Inferentia 2 1.52 (380 ÷ 250 W); NVIDIA GB300 (Blackwell Ultra) 3.57 (5,000 ÷ 1400 W). NVIDIA GB300 (Blackwell Ultra) wins at the die level; system-level efficiency also depends on cooling and interconnect.

AWS Inferentia 2 vs NVIDIA GB300 (Blackwell Ultra): which is more widely used?

AWS Inferentia 2: 0 robots and 0 data centers publicly running it. NVIDIA GB300 (Blackwell Ultra): 0 robots and 1 data center. Empty here means no operator has said publicly, not zero adoption in the market.

See also: every chip comparison · AWS Inferentia 2 full page · NVIDIA GB300 (Blackwell Ultra) full page.