Side-by-side, with the numbers that matter.

Two rigs, one table. Higher numbers win in cobalt; TDP and price flip.

Rig A

NVIDIA · accelerator

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Rig B

AWS · cloud-model

Change

0 of 35 fields comparable

Spec	NVIDIA H100	AWS Trainium2
BF16 TFLOPS (sparse)	1,979	—
Bf16 Tflops PER Chip	—	667
Chips PER Trn2 Instance	—	16
Chips PER Ultraserver	—	64
Form factor	SXM	—
FP16 TFLOPS (dense)	989.5	—
FP16 TFLOPS (sparse)	1,979	—
FP32 TFLOPS	67	—
FP64 Tensor TFLOPS	67	—
FP64 TFLOPS	34	—
FP8 Dense Petaflops PER Chip	—	1.3
FP8 Sparse Petaflops PER Chip	—	5.2
FP8 TFLOPS (dense)	1,979	—
FP8 TFLOPS (sparse)	3,958	—
HBM (GB)	80	—
HBM Bandwidth TB S PER Chip	—	2.9
HBM Capacity GB PER Chip	—	96
HBM Type	—	HBM3
INT8 TOPS (sparse)	3,958	—
Memory bandwidth (TB/s)	3.35	—
Memory type	HBM3	—
Neuroncores PER Chip	—	8
NVLink bandwidth (GB/s)	900	—
TDP max (W)↓ better	700	—
TF32 TFLOPS (sparse)	989	—
Trainium3 GA	—	2025-12-02
Trainium3 HBM Bandwidth TB S	—	4.9
Trainium3 Hbm3e GB PER Chip	—	144
Trn2 Instance FP8 Petaflops	—	20.8
Trn2 Instance HBM TB	—	1.5
Trn3 Ultraserver FP8 Pflops	—	362
Trn3 Ultraserver MAX Chips	—	144
Ultraserver FP8 Petaflops	—	83.2
Ultraserver Total HBM Bandwidth TB S	—	185
Ultraserver Total HBM TB	—	6