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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 MI325X	AMD MI350X	Qualcomm Cloud AI 100
Architecture	Ampere	CDNA 3.5	CDNA 4	Qualcomm AI
Form Factor	PCIe	OAM	OAM	PCIe
VRAM	48 GB	256 GB	288 GB	16 GB
Memory Bandwidth	696 GB/s	6,000 GB/s	—	134 GB/s
TFLOPs (FP32)	37.4	175	—	50
TFLOPs (FP16)	150	1,400	—	400
TFLOPs	150	1,400	2,100	50
TFLOPs (FP8)	—	2,800	—	—
TDP	300 W	800 W	850 W	75 W
Launch Date	Oct 2020	Oct 2024	Jun 2025	Sep 2020

Efficiency Metrics

Metric	A40	MI325X	MI350X	Cloud AI 100
TFLOPs per Watt (FP32-eq)	0.25	0.88	1.24	0.67
Memory Bandwidth per GB	14.5 GB/s	23.4 GB/s	—	8.4 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 MI325X

Compute (FP32-eq)

0.11x

MI325X is 9.33x faster

FP32 Compute

0.21x

MI325X is 4.68x faster

VRAM

0.19x

MI325X has 5.33x more

Memory Bandwidth

0.12x

MI325X has 8.62x more

AMD MI350X

Compute (FP32-eq)

0.07x

MI350X is 14.00x faster

VRAM

0.17x

MI350X has 6.00x more

Qualcomm Cloud AI 100

Compute (FP32-eq)

1.50x

Need 1.50x Cloud AI 100

FP32 Compute

0.75x

Cloud AI 100 is 1.34x faster

VRAM

3.00x

Need 3.00x Cloud AI 100

Memory Bandwidth

5.19x

Need 5.19x Cloud AI 100

To match 1x AMD MI325X

NVIDIA A40

Compute (FP32-eq)

9.33x

Need 9.33x A40

FP32 Compute

4.68x

Need 4.68x A40

VRAM

5.33x

Need 5.33x A40

Memory Bandwidth

8.62x

Need 8.62x A40

AMD MI350X

Compute (FP32-eq)

0.67x

MI350X is 1.50x faster

VRAM

0.89x

MI350X has 1.13x more

Qualcomm Cloud AI 100

Compute (FP32-eq)

14.00x

Need 14.00x Cloud AI 100

FP32 Compute

3.50x

Need 3.50x Cloud AI 100

VRAM

16.00x

Need 16.00x Cloud AI 100

Memory Bandwidth

44.78x

Need 44.78x Cloud AI 100

To match 1x AMD MI350X

NVIDIA A40

Compute (FP32-eq)

14.00x

Need 14.00x A40

VRAM

6.00x

Need 6.00x A40

AMD MI325X

Compute (FP32-eq)

1.50x

Need 1.50x MI325X

VRAM

1.13x

Need 1.13x MI325X

Qualcomm Cloud AI 100

Compute (FP32-eq)

21.00x

Need 21.00x Cloud AI 100

VRAM

18.00x

Need 18.00x Cloud AI 100

To match 1x Qualcomm Cloud AI 100

NVIDIA A40

Compute (FP32-eq)

0.67x

A40 is 1.50x faster

FP32 Compute

1.34x

Need 1.34x A40

VRAM

0.33x

A40 has 3.00x more

Memory Bandwidth

0.19x

A40 has 5.19x more

AMD MI325X

Compute (FP32-eq)

0.07x

MI325X is 14.00x faster

FP32 Compute

0.29x

MI325X is 3.50x faster

VRAM

0.06x

MI325X has 16.00x more

Memory Bandwidth

0.02x

MI325X has 44.78x more

AMD MI350X

Compute (FP32-eq)

0.05x

MI350X is 21.00x faster

VRAM

0.06x

MI350X has 18.00x more

Pricing

Price Type	A40	MI325X	MI350X	Cloud AI 100
CAPEX (Street Price)	—	$45,000	—	—
OPEX (per hour)	—	—	—	—
Price per TFLOPs (FP32-eq)	—	$64	—	—