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Showing 72 XPUs • 5 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	Google TPU v5e	NVIDIA B200	AMD MI350X	SambaNova SN40L	Tenstorrent Grayskull
Architecture	TPU v5	Blackwell	CDNA 4	Reconfigurable Dataflow Unit (RDU)	Tensix Core
Form Factor	Mezzanine	SXM	OAM	—	—
VRAM	—	192 GB	288 GB	640 GB	8 GB
Memory Bandwidth	—	8,000 GB/s	—	—	—
TFLOPs (FP32)	—	90	—	—	—
TFLOPs (FP16)	—	2,250	—	—	—
TFLOPs	197	2,250	2,100	—	200
TFLOPs (FP8)	—	4,500	—	—	—
TDP	250 W	1000 W	850 W	700 W	65 W
Launch Date	Aug 2023	Mar 2024	Jun 2025	Jan 2024	Mar 2021

Efficiency Metrics

Metric	TPU v5e	B200	MI350X	SN40L	Grayskull
TFLOPs per Watt (FP32-eq)	0.39	1.13	1.24	—	1.54
Memory Bandwidth per GB	—	41.7 GB/s	—	—	—

Performance Equivalence

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

To match 1x Google TPU v5e

NVIDIA B200

Compute (FP32-eq)

0.09x

B200 is 11.42x faster

AMD MI350X

Compute (FP32-eq)

0.09x

MI350X is 10.66x faster

Tenstorrent Grayskull

Compute (FP32-eq)

0.98x

Grayskull is 1.02x faster

To match 1x NVIDIA B200

Google TPU v5e

Compute (FP32-eq)

11.42x

Need 11.42x TPU v5e

AMD MI350X

Compute (FP32-eq)

1.07x

Need 1.07x MI350X

VRAM

0.67x

MI350X has 1.50x more

SambaNova SN40L

VRAM

0.30x

SN40L has 3.33x more

Tenstorrent Grayskull

Compute (FP32-eq)

11.25x

Need 11.25x Grayskull

VRAM

24.00x

Need 24.00x Grayskull

To match 1x AMD MI350X

Google TPU v5e

Compute (FP32-eq)

10.66x

Need 10.66x TPU v5e

NVIDIA B200

Compute (FP32-eq)

0.93x

B200 is 1.07x faster

VRAM

1.50x

Need 1.50x B200

SambaNova SN40L

VRAM

0.45x

SN40L has 2.22x more

Tenstorrent Grayskull

Compute (FP32-eq)

10.50x

Need 10.50x Grayskull

VRAM

36.00x

Need 36.00x Grayskull

To match 1x SambaNova SN40L

NVIDIA B200

VRAM

3.33x

Need 3.33x B200

AMD MI350X

VRAM

2.22x

Need 2.22x MI350X

Tenstorrent Grayskull

VRAM

80.00x

Need 80.00x Grayskull

To match 1x Tenstorrent Grayskull

Google TPU v5e

Compute (FP32-eq)

1.02x

Need 1.02x TPU v5e

NVIDIA B200

Compute (FP32-eq)

0.09x

B200 is 11.25x faster

VRAM

0.04x

B200 has 24.00x more

AMD MI350X

Compute (FP32-eq)

0.10x

MI350X is 10.50x faster

VRAM

0.03x

MI350X has 36.00x more

SambaNova SN40L

VRAM

0.01x

SN40L has 80.00x more

Pricing

Price Type	TPU v5e	B200	MI350X	SN40L	Grayskull
CAPEX (Street Price)	—	$70,000	—	—	—
OPEX (per hour)	$1.80/hr	—	—	—	—
Price per TFLOPs (FP32-eq)	—	$62	—	—	—