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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 L40S	NVIDIA B200	Alibaba Hanguang 800	NVIDIA GeForce RTX 4060 Ti
Architecture	Ada Lovelace	Blackwell	XuanTie	Ada Lovelace
Form Factor	PCIe	SXM	—	PCIe
VRAM	48 GB	192 GB	—	8 GB
Memory Bandwidth	864 GB/s	8,000 GB/s	—	288 GB/s
TFLOPs (FP32)	91.6	90	—	22.1
TFLOPs (FP16)	733	2,250	—	44.2
TFLOPs	733	2,250	—	44.2
TFLOPs (FP8)	1,466	4,500	—	—
TDP	350 W	1000 W	150 W	160 W
Launch Date	Oct 2023	Mar 2024	Sep 2019	May 2023

Efficiency Metrics

Metric	L40S	B200	Hanguang 800	GeForce RTX 4060 Ti
TFLOPs per Watt (FP32-eq)	1.05	1.13	—	0.14
Memory Bandwidth per GB	18.0 GB/s	41.7 GB/s	—	36.0 GB/s

Performance Equivalence

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

To match 1x NVIDIA L40S

NVIDIA B200

Compute (FP32-eq)

0.33x

B200 is 3.07x faster

FP32 Compute

1.02x

Need 1.02x B200

VRAM

0.25x

B200 has 4.00x more

Memory Bandwidth

0.11x

B200 has 9.26x more

NVIDIA GeForce RTX 4060 Ti

Compute (FP32-eq)

16.58x

Need 16.58x GeForce RTX 4060 Ti

FP32 Compute

4.14x

Need 4.14x GeForce RTX 4060 Ti

VRAM

6.00x

Need 6.00x GeForce RTX 4060 Ti

Memory Bandwidth

3.00x

Need 3.00x GeForce RTX 4060 Ti

To match 1x NVIDIA B200

NVIDIA L40S

Compute (FP32-eq)

3.07x

Need 3.07x L40S

FP32 Compute

0.98x

L40S is 1.02x faster

VRAM

4.00x

Need 4.00x L40S

Memory Bandwidth

9.26x

Need 9.26x L40S

NVIDIA GeForce RTX 4060 Ti

Compute (FP32-eq)

50.90x

Need 50.90x GeForce RTX 4060 Ti

FP32 Compute

4.07x

Need 4.07x GeForce RTX 4060 Ti

VRAM

24.00x

Need 24.00x GeForce RTX 4060 Ti

Memory Bandwidth

27.78x

Need 27.78x GeForce RTX 4060 Ti

To match 1x NVIDIA GeForce RTX 4060 Ti

NVIDIA L40S

Compute (FP32-eq)

0.06x

L40S is 16.58x faster

FP32 Compute

0.24x

L40S is 4.14x faster

VRAM

0.17x

L40S has 6.00x more

Memory Bandwidth

0.33x

L40S has 3.00x more

NVIDIA B200

Compute (FP32-eq)

0.02x

B200 is 50.90x faster

FP32 Compute

0.25x

B200 is 4.07x faster

VRAM

0.04x

B200 has 24.00x more

Memory Bandwidth

0.04x

B200 has 27.78x more

Pricing

Price Type	L40S	B200	Hanguang 800	GeForce RTX 4060 Ti
CAPEX (Street Price)	$10,000	$70,000	—	—
OPEX (per hour)	$1.50/hr	—	—	—
Price per TFLOPs (FP32-eq)	$27	$62	—	—