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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	AMD MI250X	AMD MI210	Google TPU v5p	AMD MI325X
Architecture	CDNA 2	CDNA 2	TPU v5	CDNA 3.5
Form Factor	OAM	PCIe	Mezzanine	OAM
VRAM	128 GB	64 GB	—	256 GB
Memory Bandwidth	3,277 GB/s	1,638 GB/s	—	6,000 GB/s
TFLOPs (FP32)	47.9	45.3	—	175
TFLOPs (FP16)	383	181	—	1,400
TFLOPs	383	181	459	1,400
TFLOPs (FP8)	—	—	—	2,800
TDP	560 W	300 W	400 W	800 W
Launch Date	Nov 2021	Jan 2022	Aug 2023	Oct 2024

Efficiency Metrics

Metric	MI250X	MI210	TPU v5p	MI325X
TFLOPs per Watt (FP32-eq)	0.34	0.30	0.57	0.88
Memory Bandwidth per GB	25.6 GB/s	25.6 GB/s	—	23.4 GB/s

Performance Equivalence

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

To match 1x AMD MI250X

AMD MI210

Compute (FP32-eq)

2.12x

Need 2.12x MI210

FP32 Compute

1.06x

Need 1.06x MI210

VRAM

2.00x

Need 2.00x MI210

Memory Bandwidth

2.00x

Need 2.00x MI210

Google TPU v5p

Compute (FP32-eq)

0.83x

TPU v5p is 1.20x faster

AMD MI325X

Compute (FP32-eq)

0.27x

MI325X is 3.66x faster

FP32 Compute

0.27x

MI325X is 3.65x faster

VRAM

0.50x

MI325X has 2.00x more

Memory Bandwidth

0.55x

MI325X has 1.83x more

To match 1x AMD MI210

AMD MI250X

Compute (FP32-eq)

0.47x

MI250X is 2.12x faster

FP32 Compute

0.95x

MI250X is 1.06x faster

VRAM

0.50x

MI250X has 2.00x more

Memory Bandwidth

0.50x

MI250X has 2.00x more

Google TPU v5p

Compute (FP32-eq)

0.39x

TPU v5p is 2.54x faster

AMD MI325X

Compute (FP32-eq)

0.13x

MI325X is 7.73x faster

FP32 Compute

0.26x

MI325X is 3.86x faster

VRAM

0.25x

MI325X has 4.00x more

Memory Bandwidth

0.27x

MI325X has 3.66x more

To match 1x Google TPU v5p

AMD MI250X

Compute (FP32-eq)

1.20x

Need 1.20x MI250X

AMD MI210

Compute (FP32-eq)

2.54x

Need 2.54x MI210

AMD MI325X

Compute (FP32-eq)

0.33x

MI325X is 3.05x faster

To match 1x AMD MI325X

AMD MI250X

Compute (FP32-eq)

3.66x

Need 3.66x MI250X

FP32 Compute

3.65x

Need 3.65x MI250X

VRAM

2.00x

Need 2.00x MI250X

Memory Bandwidth

1.83x

Need 1.83x MI250X

AMD MI210

Compute (FP32-eq)

7.73x

Need 7.73x MI210

FP32 Compute

3.86x

Need 3.86x MI210

VRAM

4.00x

Need 4.00x MI210

Memory Bandwidth

3.66x

Need 3.66x MI210

Google TPU v5p

Compute (FP32-eq)

3.05x

Need 3.05x TPU v5p

Pricing

Price Type	MI250X	MI210	TPU v5p	MI325X
CAPEX (Street Price)	$12,000	$6,000	—	$45,000
OPEX (per hour)	$2.00/hr	—	$5.00/hr	—
Price per TFLOPs (FP32-eq)	$63	$66	—	$64