DEPLOYDatabase

Chip comparison

AWS Trainium 2 vs NVIDIA B100 (Blackwell)

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 Trainium 2NVIDIA B100 (Blackwell)
Process nodeTSMC N5TSMC 4NP
TDP500 W700 W
Memory96 GB HBM3192 GB HBM3e
Memory bandwidth2,900 GB/s8,000 GB/s
FP16 (dense)1,750 TFLOPS
BF16 (dense)667 TFLOPS1,750 TFLOPS
FP8 (dense)1,300 TFLOPS3,500 TFLOPS
INT8 (dense)1,300 TOPS
Form factorAWS Neuron 2 (Trn2 UltraServer with 64 chips per unit)SXM6 (700 W envelope)
Announced2024-12-032024-03-18
Released2025-01-012024-11-01

Robots running AWS Trainium 2

No robots publicly running it yet.

Robots running NVIDIA B100 (Blackwell)

No robots publicly running it yet.

Data centers with NVIDIA B100 (Blackwell)

No data centers publicly running it yet.

Common questions

AWS Trainium 2 vs NVIDIA B100 (Blackwell): which is faster for training?

NVIDIA B100 (Blackwell) has 2.69x the dense FP8 throughput of the other (AWS Trainium 2: 1,300 TFLOPS; NVIDIA B100 (Blackwell): 3,500 TFLOPS). Real-world training speed also depends on memory bandwidth, interconnect, and software stack: see the spec diff for those inputs.

AWS Trainium 2 vs NVIDIA B100 (Blackwell): which has more memory?

NVIDIA B100 (Blackwell) carries more HBM (AWS Trainium 2: 96 GB HBM3; NVIDIA B100 (Blackwell): 192 GB HBM3e). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.

AWS Trainium 2 vs NVIDIA B100 (Blackwell): which is more power-efficient?

Dense FP8 TFLOPS per watt: AWS Trainium 2 2.60 (1,300 ÷ 500 W); NVIDIA B100 (Blackwell) 5.00 (3,500 ÷ 700 W). NVIDIA B100 (Blackwell) wins at the die level; system-level efficiency also depends on cooling and interconnect.

AWS Trainium 2 vs NVIDIA B100 (Blackwell): which is more widely used?

AWS Trainium 2: 0 robots and 3 data centers publicly running it. NVIDIA B100 (Blackwell): 0 robots and 0 data centers. Empty here means no operator has said publicly, not zero adoption in the market.

See also: every chip comparison · AWS Trainium 2 full page · NVIDIA B100 (Blackwell) full page.