Compare XPUs

Select up to 5 XPUs to compare side-by-side

Select XPUs to Compare

Showing 72 XPUs5 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

Maximum of 5 XPUs can be compared at once. Deselect one to add another.

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 A100 SXMGoogle TPU v5pAWS Trainium2Cambricon MLU370Etched Sohu
ArchitectureAmpereTPU v5Trainium Gen2MLU CoreTransformer ASIC
Form FactorSXMMezzaninePCIe
VRAM80 GB48 GB144 GB
Memory Bandwidth2,039 GB/s4,800 GB/s
TFLOPs (FP32)19.510,000
TFLOPs (FP16)312
TFLOPs31245968025610,000
TFLOPs (FP8)
TDP400 W400 W300 W300 W700 W
Launch DateMay 2020Aug 2023Nov 2023Nov 2022Jun 2024

Efficiency Metrics

MetricA100 SXMTPU v5pTrainium2MLU370Sohu
TFLOPs per Watt (FP32-eq)0.390.571.130.4314.29
Memory Bandwidth per GB25.5 GB/s33.3 GB/s

Performance Equivalence

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

To match 1x NVIDIA A100 SXM

Google TPU v5p
Compute (FP32-eq)
0.68x
TPU v5p is 1.47x faster
AWS Trainium2
Compute (FP32-eq)
0.46x
Trainium2 is 2.18x faster
Cambricon MLU370
Compute (FP32-eq)
1.22x
Need 1.22x MLU370
VRAM
1.67x
Need 1.67x MLU370
Etched Sohu
Compute (FP32-eq)
0.02x
Sohu is 64.10x faster
FP32 Compute
0.00x
Sohu is 512.82x faster
VRAM
0.56x
Sohu has 1.80x more
Memory Bandwidth
0.42x
Sohu has 2.35x more

To match 1x Google TPU v5p

NVIDIA A100 SXM
Compute (FP32-eq)
1.47x
Need 1.47x A100 SXM
AWS Trainium2
Compute (FP32-eq)
0.68x
Trainium2 is 1.48x faster
Cambricon MLU370
Compute (FP32-eq)
1.79x
Need 1.79x MLU370
Etched Sohu
Compute (FP32-eq)
0.02x
Sohu is 43.57x faster

To match 1x AWS Trainium2

NVIDIA A100 SXM
Compute (FP32-eq)
2.18x
Need 2.18x A100 SXM
Google TPU v5p
Compute (FP32-eq)
1.48x
Need 1.48x TPU v5p
Cambricon MLU370
Compute (FP32-eq)
2.66x
Need 2.66x MLU370
Etched Sohu
Compute (FP32-eq)
0.03x
Sohu is 29.41x faster

To match 1x Cambricon MLU370

NVIDIA A100 SXM
Compute (FP32-eq)
0.82x
A100 SXM is 1.22x faster
VRAM
0.60x
A100 SXM has 1.67x more
Google TPU v5p
Compute (FP32-eq)
0.56x
TPU v5p is 1.79x faster
AWS Trainium2
Compute (FP32-eq)
0.38x
Trainium2 is 2.66x faster
Etched Sohu
Compute (FP32-eq)
0.01x
Sohu is 78.13x faster
VRAM
0.33x
Sohu has 3.00x more

To match 1x Etched Sohu

NVIDIA A100 SXM
Compute (FP32-eq)
64.10x
Need 64.10x A100 SXM
FP32 Compute
512.82x
Need 512.82x A100 SXM
VRAM
1.80x
Need 1.80x A100 SXM
Memory Bandwidth
2.35x
Need 2.35x A100 SXM
Google TPU v5p
Compute (FP32-eq)
43.57x
Need 43.57x TPU v5p
AWS Trainium2
Compute (FP32-eq)
29.41x
Need 29.41x Trainium2
Cambricon MLU370
Compute (FP32-eq)
78.13x
Need 78.13x MLU370
VRAM
3.00x
Need 3.00x MLU370

Pricing

Price TypeA100 SXMTPU v5pTrainium2MLU370Sohu
CAPEX (Street Price)$15,000
OPEX (per hour)$4.05/hr$5.00/hr$1.34/hr
Price per TFLOPs (FP32-eq)$96