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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 GB200 NVL72	Google TPU v6e (Trillium)	Qualcomm Cloud AI 100
Architecture	Blackwell	Trillium	Qualcomm AI
Form Factor	Custom	Custom	PCIe
VRAM	13824 GB	32 GB	16 GB
Memory Bandwidth	130,000 GB/s	1,600 GB/s	134 GB/s
TFLOPs (FP32)	6,480	459	50
TFLOPs (FP16)	360,000	918	400
TFLOPs	360,000	918	50
TFLOPs (FP8)	—	—	—
TDP	120000 W	200 W	75 W
Launch Date	Mar 2024	May 2024	Sep 2020

Efficiency Metrics

Metric	GB200 NVL72	TPU v6e (Trillium)	Cloud AI 100
TFLOPs per Watt (FP32-eq)	1.50	2.29	0.67
Memory Bandwidth per GB	9.4 GB/s	50.0 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 NVIDIA GB200 NVL72

Google TPU v6e (Trillium)

Compute (FP32-eq)

392.16x

Need 392.16x TPU v6e (Trillium)

FP32 Compute

14.12x

Need 14.12x TPU v6e (Trillium)

VRAM

432.00x

Need 432.00x TPU v6e (Trillium)

Memory Bandwidth

81.25x

Need 81.25x TPU v6e (Trillium)

Qualcomm Cloud AI 100

Compute (FP32-eq)

3600.00x

Need 3600.00x Cloud AI 100

FP32 Compute

129.60x

Need 129.60x Cloud AI 100

VRAM

864.00x

Need 864.00x Cloud AI 100

Memory Bandwidth

970.15x

Need 970.15x Cloud AI 100

To match 1x Google TPU v6e (Trillium)

NVIDIA GB200 NVL72

Compute (FP32-eq)

0.00x

GB200 NVL72 is 392.16x faster

FP32 Compute

0.07x

GB200 NVL72 is 14.12x faster

VRAM

0.00x

GB200 NVL72 has 432.00x more

Memory Bandwidth

0.01x

GB200 NVL72 has 81.25x more

Qualcomm Cloud AI 100

Compute (FP32-eq)

9.18x

Need 9.18x Cloud AI 100

FP32 Compute

9.18x

Need 9.18x Cloud AI 100

VRAM

2.00x

Need 2.00x Cloud AI 100

Memory Bandwidth

11.94x

Need 11.94x Cloud AI 100

To match 1x Qualcomm Cloud AI 100

NVIDIA GB200 NVL72

Compute (FP32-eq)

0.00x

GB200 NVL72 is 3600.00x faster

FP32 Compute

0.01x

GB200 NVL72 is 129.60x faster

VRAM

0.00x

GB200 NVL72 has 864.00x more

Memory Bandwidth

0.00x

GB200 NVL72 has 970.15x more

Google TPU v6e (Trillium)

Compute (FP32-eq)

0.11x

TPU v6e (Trillium) is 9.18x faster

FP32 Compute

0.11x

TPU v6e (Trillium) is 9.18x faster

VRAM

0.50x

TPU v6e (Trillium) has 2.00x more

Memory Bandwidth

0.08x

TPU v6e (Trillium) has 11.94x more

Pricing

Price Type	GB200 NVL72	TPU v6e (Trillium)	Cloud AI 100
CAPEX (Street Price)	—	—	—
OPEX (per hour)	—	—	—
Price per TFLOPs (FP32-eq)	—	—	—