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Showing 72 XPUs • 4 selected

Alibaba

Hanguang 800

AMD

MI100

23.1 TFLOPs

AMD

MI210

181 TFLOPs

AMD

MI250X

383 TFLOPs

AMD

MI300A

980.6 TFLOPs

AMD

MI300X

1,307 TFLOPs

AMD

MI325X

1,400 TFLOPs

AMD

MI350X

2,100 TFLOPs

AMD

Radeon PRO W7900

122 TFLOPs

AMD

Radeon RX 7900 XT

104 TFLOPs

AMD

Radeon RX 7900 XTX

122 TFLOPs

AWS

Inferentia2

190 TFLOPs

AWS

Trainium

190 TFLOPs

AWS

Trainium2

680 TFLOPs

Baidu

Kunlun II

Biren Technology

BR100

Cambricon

MLU370

256 TFLOPs

Cerebras

WSE-3

Enflame Technology

CloudBlazer T20

Etched

Sohu

10,000 TFLOPs

FuriosaAI

Warboy

Google

TPU v4

275 TFLOPs

Google

TPU v5e

197 TFLOPs

Google

TPU v5p

459 TFLOPs

Google

TPU v6e (Trillium)

918 TFLOPs

Graphcore

Bow IPU

Graphcore

IPU-M2000

Groq

LPU Inference Engine

Huawei

Ascend 910B

Iluvatar CoreX

BI-V150

300 TFLOPs

Intel

Data Center GPU Max 1100

177 TFLOPs

Intel

Data Center GPU Max 1550

419 TFLOPs

Intel Habana

Gaudi 2

432 TFLOPs

Intel Habana

Gaudi 3

1,835 TFLOPs

Multi-Metric Comparison

Relative performance across 5 key metrics (normalized to 100 = best in comparison)

Compute Performance (BF16)

Memory Capacity

Power Consumption

Power Efficiency

Specifications

Specification	NVIDIA A40	AMD MI350X	Moore Threads MTT S80	NVIDIA H100 SXM
Architecture	Ampere	CDNA 4	Chunxiao	Hopper
Form Factor	PCIe	OAM	—	SXM
VRAM	48 GB	288 GB	32 GB	80 GB
Memory Bandwidth	696 GB/s	—	—	3,350 GB/s
TFLOPs (FP32)	37.4	—	—	67
TFLOPs (FP16)	150	—	256	1,979
TFLOPs	150	2,100	—	1,979
TFLOPs (FP8)	—	—	—	3,958
TDP	300 W	850 W	300 W	700 W
Launch Date	Oct 2020	Jun 2025	Mar 2022	Sep 2022

Efficiency Metrics

Metric	A40	MI350X	MTT S80	H100 SXM
TFLOPs per Watt (FP32-eq)	0.25	1.24	—	1.41
Memory Bandwidth per GB	14.5 GB/s	—	—	41.9 GB/s

Performance Equivalence

How many units of each GPU are needed to match the performance of the others?

To match 1x NVIDIA A40

AMD MI350X

Compute (FP32-eq)

0.07x

MI350X is 14.00x faster

VRAM

0.17x

MI350X has 6.00x more

Moore Threads MTT S80

VRAM

1.50x

Need 1.50x MTT S80

NVIDIA H100 SXM

Compute (FP32-eq)

0.08x

H100 SXM is 13.19x faster

FP32 Compute

0.56x

H100 SXM is 1.79x faster

VRAM

0.60x

H100 SXM has 1.67x more

Memory Bandwidth

0.21x

H100 SXM has 4.81x more

To match 1x AMD MI350X

NVIDIA A40

Compute (FP32-eq)

14.00x

Need 14.00x A40

VRAM

6.00x

Need 6.00x A40

Moore Threads MTT S80

VRAM

9.00x

Need 9.00x MTT S80

NVIDIA H100 SXM

Compute (FP32-eq)

1.06x

Need 1.06x H100 SXM

VRAM

3.60x

Need 3.60x H100 SXM

To match 1x Moore Threads MTT S80

NVIDIA A40

VRAM

0.67x

A40 has 1.50x more

AMD MI350X

VRAM

0.11x

MI350X has 9.00x more

NVIDIA H100 SXM

VRAM

0.40x

H100 SXM has 2.50x more

To match 1x NVIDIA H100 SXM

NVIDIA A40

Compute (FP32-eq)

13.19x

Need 13.19x A40

FP32 Compute

1.79x

Need 1.79x A40

VRAM

1.67x

Need 1.67x A40

Memory Bandwidth

4.81x

Need 4.81x A40

AMD MI350X

Compute (FP32-eq)

0.94x

MI350X is 1.06x faster

VRAM

0.28x

MI350X has 3.60x more

Moore Threads MTT S80

VRAM

2.50x

Need 2.50x MTT S80

Pricing

Price Type	A40	MI350X	MTT S80	H100 SXM
CAPEX (Street Price)	—	—	—	$30,000
OPEX (per hour)	—	—	—	$3.50/hr
Price per TFLOPs (FP32-eq)	—	—	—	$30