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Showing 72 XPUs • 3 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 A100 SXM	NVIDIA H200 SXM	NVIDIA A40
Architecture	Ampere	Hopper	Ampere
Form Factor	SXM	SXM	PCIe
VRAM	80 GB	141 GB	48 GB
Memory Bandwidth	2,039 GB/s	4,800 GB/s	696 GB/s
TFLOPs (FP32)	19.5	67	37.4
TFLOPs (FP16)	312	1,979	150
TFLOPs	312	1,979	150
TFLOPs (FP8)	—	3,958	—
TDP	400 W	700 W	300 W
Launch Date	May 2020	Nov 2023	Oct 2020

Efficiency Metrics

Metric	A100 SXM	H200 SXM	A40
TFLOPs per Watt (FP32-eq)	0.39	1.41	0.25
Memory Bandwidth per GB	25.5 GB/s	34.0 GB/s	14.5 GB/s

Performance Equivalence

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

To match 1x NVIDIA A100 SXM

NVIDIA H200 SXM

Compute (FP32-eq)

0.16x

H200 SXM is 6.34x faster

FP32 Compute

0.29x

H200 SXM is 3.44x faster

VRAM

0.57x

H200 SXM has 1.76x more

Memory Bandwidth

0.42x

H200 SXM has 2.35x more

NVIDIA A40

Compute (FP32-eq)

2.08x

Need 2.08x A40

FP32 Compute

0.52x

A40 is 1.92x faster

VRAM

1.67x

Need 1.67x A40

Memory Bandwidth

2.93x

Need 2.93x A40

To match 1x NVIDIA H200 SXM

NVIDIA A100 SXM

Compute (FP32-eq)

6.34x

Need 6.34x A100 SXM

FP32 Compute

3.44x

Need 3.44x A100 SXM

VRAM

1.76x

Need 1.76x A100 SXM

Memory Bandwidth

2.35x

Need 2.35x A100 SXM

NVIDIA A40

Compute (FP32-eq)

13.19x

Need 13.19x A40

FP32 Compute

1.79x

Need 1.79x A40

VRAM

2.94x

Need 2.94x A40

Memory Bandwidth

6.90x

Need 6.90x A40

To match 1x NVIDIA A40

NVIDIA A100 SXM

Compute (FP32-eq)

0.48x

A100 SXM is 2.08x faster

FP32 Compute

1.92x

Need 1.92x A100 SXM

VRAM

0.60x

A100 SXM has 1.67x more

Memory Bandwidth

0.34x

A100 SXM has 2.93x more

NVIDIA H200 SXM

Compute (FP32-eq)

0.08x

H200 SXM is 13.19x faster

FP32 Compute

0.56x

H200 SXM is 1.79x faster

VRAM

0.34x

H200 SXM has 2.94x more

Memory Bandwidth

0.14x

H200 SXM has 6.90x more

Pricing

Price Type	A100 SXM	H200 SXM	A40
CAPEX (Street Price)	$15,000	$40,000	—
OPEX (per hour)	$4.05/hr	—	—
Price per TFLOPs (FP32-eq)	$96	$40	—