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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	AMD MI250X	NVIDIA GeForce RTX 4080 Super	Qualcomm Cloud AI 100
Architecture	CDNA 2	Ada Lovelace	Qualcomm AI
Form Factor	OAM	PCIe	PCIe
VRAM	128 GB	16 GB	16 GB
Memory Bandwidth	3,277 GB/s	736 GB/s	134 GB/s
TFLOPs (FP32)	47.9	52.2	50
TFLOPs (FP16)	383	104.4	400
TFLOPs	383	104.4	50
TFLOPs (FP8)	—	—	—
TDP	560 W	320 W	75 W
Launch Date	Nov 2021	Jan 2024	Sep 2020

Efficiency Metrics

Metric	MI250X	GeForce RTX 4080 Super	Cloud AI 100
TFLOPs per Watt (FP32-eq)	0.34	0.16	0.67
Memory Bandwidth per GB	25.6 GB/s	46.0 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 AMD MI250X

NVIDIA GeForce RTX 4080 Super

Compute (FP32-eq)

3.67x

Need 3.67x GeForce RTX 4080 Super

FP32 Compute

0.92x

GeForce RTX 4080 Super is 1.09x faster

VRAM

8.00x

Need 8.00x GeForce RTX 4080 Super

Memory Bandwidth

4.45x

Need 4.45x GeForce RTX 4080 Super

Qualcomm Cloud AI 100

Compute (FP32-eq)

3.83x

Need 3.83x Cloud AI 100

FP32 Compute

0.96x

Cloud AI 100 is 1.04x faster

VRAM

8.00x

Need 8.00x Cloud AI 100

Memory Bandwidth

24.46x

Need 24.46x Cloud AI 100

To match 1x NVIDIA GeForce RTX 4080 Super

AMD MI250X

Compute (FP32-eq)

0.27x

MI250X is 3.67x faster

FP32 Compute

1.09x

Need 1.09x MI250X

VRAM

0.13x

MI250X has 8.00x more

Memory Bandwidth

0.22x

MI250X has 4.45x more

Qualcomm Cloud AI 100

Compute (FP32-eq)

1.04x

Need 1.04x Cloud AI 100

FP32 Compute

1.04x

Need 1.04x Cloud AI 100

VRAM

1.00x

Cloud AI 100 has 1.00x more

Memory Bandwidth

5.49x

Need 5.49x Cloud AI 100

To match 1x Qualcomm Cloud AI 100

AMD MI250X

Compute (FP32-eq)

0.26x

MI250X is 3.83x faster

FP32 Compute

1.04x

Need 1.04x MI250X

VRAM

0.13x

MI250X has 8.00x more

Memory Bandwidth

0.04x

MI250X has 24.46x more

NVIDIA GeForce RTX 4080 Super

Compute (FP32-eq)

0.96x

GeForce RTX 4080 Super is 1.04x faster

FP32 Compute

0.96x

GeForce RTX 4080 Super is 1.04x faster

VRAM

1.00x

GeForce RTX 4080 Super has 1.00x more

Memory Bandwidth

0.18x

GeForce RTX 4080 Super has 5.49x more

Pricing

Price Type	MI250X	GeForce RTX 4080 Super	Cloud AI 100
CAPEX (Street Price)	$12,000	—	—
OPEX (per hour)	$2.00/hr	—	—
Price per TFLOPs (FP32-eq)	$63	—	—