Compare XPUs

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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

Meta

MTIA v1

Microsoft

Maia 100

700 TFLOPs

Moore Threads

MTT S80

NVIDIA

A10

125 TFLOPs

NVIDIA

A100 SXM

312 TFLOPs

NVIDIA

A40

150 TFLOPs

NVIDIA

B200

2,250 TFLOPs

NVIDIA

GB200 NVL72

360,000 TFLOPs

NVIDIA

GB200 Superchip

5,000 TFLOPs

NVIDIA

GeForce RTX 4060 Ti

44.2 TFLOPs

NVIDIA

GeForce RTX 4070

58.2 TFLOPs

NVIDIA

GeForce RTX 4070 Super

71 TFLOPs

NVIDIA

GeForce RTX 4070 Ti

80.2 TFLOPs

NVIDIA

GeForce RTX 4070 Ti Super

88.2 TFLOPs

NVIDIA

GeForce RTX 4080

97.5 TFLOPs

NVIDIA

GeForce RTX 4080 Super

104.4 TFLOPs

NVIDIA

GeForce RTX 4090

165.2 TFLOPs

NVIDIA

GeForce RTX 5070

61.6 TFLOPs

NVIDIA

GeForce RTX 5070 Ti

88 TFLOPs

NVIDIA

GeForce RTX 5080

112.6 TFLOPs

NVIDIA

GeForce RTX 5090

209.5 TFLOPs

NVIDIA

H100 PCIe

1,513 TFLOPs

NVIDIA

H100 SXM

1,979 TFLOPs

NVIDIA

H200 PCIe

1,513 TFLOPs

NVIDIA

H200 SXM

1,979 TFLOPs

NVIDIA

L4

121 TFLOPs

NVIDIA

L40S

733 TFLOPs

NVIDIA

RTX 4000 Ada Generation

53.4 TFLOPs

NVIDIA

RTX 5000 Ada Generation

130.6 TFLOPs

NVIDIA

RTX 6000 Ada Generation

182.2 TFLOPs

NVIDIA

RTX PRO 6000 Blackwell Max-Q

125 TFLOPs

NVIDIA

RTX PRO 6000 Blackwell Server Edition

250 TFLOPs

NVIDIA

RTX PRO 6000 Blackwell Workstation Edition

250 TFLOPs

Qualcomm

Cloud AI 100

50 TFLOPs

Rebellions

ATOM

SambaNova

SN40L

Tenstorrent

Grayskull

200 TFLOPs

Tenstorrent

Wormhole

364 TFLOPs

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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

SpecificationNVIDIA L4NVIDIA A10Cambricon MLU370Etched SohuHuawei Ascend 910B
ArchitectureAda LovelaceAmpereMLU CoreTransformer ASICDa Vinci
Form FactorPCIePCIe—PCIe—
VRAM24 GB24 GB48 GB144 GB64 GB
Memory Bandwidth300 GB/s600 GB/s—4,800 GB/s—
TFLOPs (FP32)30.331.2—10,000—
TFLOPs (FP16)242125——640
TFLOPs12112525610,000—
TFLOPs (FP8)485————
TDP72 W150 W300 W700 W400 W
Launch DateMar 2023Apr 2021Nov 2022Jun 2024Aug 2023

Efficiency Metrics

MetricL4A10MLU370SohuAscend 910B
TFLOPs per Watt (FP32-eq)0.840.420.4314.29—
Memory Bandwidth per GB12.5 GB/s25.0 GB/s—33.3 GB/s—

Performance Equivalence

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

To match 1x NVIDIA L4

NVIDIA A10
Compute (FP32-eq)
0.97x
A10 is 1.03x faster
FP32 Compute
0.97x
A10 is 1.03x faster
VRAM
1.00x
A10 has 1.00x more
Memory Bandwidth
0.50x
A10 has 2.00x more
Cambricon MLU370
Compute (FP32-eq)
0.47x
MLU370 is 2.12x faster
VRAM
0.50x
MLU370 has 2.00x more
Etched Sohu
Compute (FP32-eq)
0.01x
Sohu is 165.29x faster
FP32 Compute
0.00x
Sohu is 330.03x faster
VRAM
0.17x
Sohu has 6.00x more
Memory Bandwidth
0.06x
Sohu has 16.00x more
Huawei Ascend 910B
VRAM
0.38x
Ascend 910B has 2.67x more

To match 1x NVIDIA A10

NVIDIA L4
Compute (FP32-eq)
1.03x
Need 1.03x L4
FP32 Compute
1.03x
Need 1.03x L4
VRAM
1.00x
L4 has 1.00x more
Memory Bandwidth
2.00x
Need 2.00x L4
Cambricon MLU370
Compute (FP32-eq)
0.49x
MLU370 is 2.05x faster
VRAM
0.50x
MLU370 has 2.00x more
Etched Sohu
Compute (FP32-eq)
0.01x
Sohu is 160.00x faster
FP32 Compute
0.00x
Sohu is 320.51x faster
VRAM
0.17x
Sohu has 6.00x more
Memory Bandwidth
0.13x
Sohu has 8.00x more
Huawei Ascend 910B
VRAM
0.38x
Ascend 910B has 2.67x more

To match 1x Cambricon MLU370

NVIDIA L4
Compute (FP32-eq)
2.12x
Need 2.12x L4
VRAM
2.00x
Need 2.00x L4
NVIDIA A10
Compute (FP32-eq)
2.05x
Need 2.05x A10
VRAM
2.00x
Need 2.00x A10
Etched Sohu
Compute (FP32-eq)
0.01x
Sohu is 78.13x faster
VRAM
0.33x
Sohu has 3.00x more
Huawei Ascend 910B
VRAM
0.75x
Ascend 910B has 1.33x more

To match 1x Etched Sohu

NVIDIA L4
Compute (FP32-eq)
165.29x
Need 165.29x L4
FP32 Compute
330.03x
Need 330.03x L4
VRAM
6.00x
Need 6.00x L4
Memory Bandwidth
16.00x
Need 16.00x L4
NVIDIA A10
Compute (FP32-eq)
160.00x
Need 160.00x A10
FP32 Compute
320.51x
Need 320.51x A10
VRAM
6.00x
Need 6.00x A10
Memory Bandwidth
8.00x
Need 8.00x A10
Cambricon MLU370
Compute (FP32-eq)
78.13x
Need 78.13x MLU370
VRAM
3.00x
Need 3.00x MLU370
Huawei Ascend 910B
VRAM
2.25x
Need 2.25x Ascend 910B

To match 1x Huawei Ascend 910B

NVIDIA L4
VRAM
2.67x
Need 2.67x L4
NVIDIA A10
VRAM
2.67x
Need 2.67x A10
Cambricon MLU370
VRAM
1.33x
Need 1.33x MLU370
Etched Sohu
VRAM
0.44x
Sohu has 2.25x more

Pricing

Price TypeL4A10MLU370SohuAscend 910B
CAPEX (Street Price)$4,000————
OPEX (per hour)$0.80/hr————
Price per TFLOPs (FP32-eq)$66————