Compare XPUs

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

Select XPUs to Compare

Showing 72 XPUs4 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

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 L40SAWS Trainium2NVIDIA RTX 4000 Ada GenerationHuawei Ascend 910B
ArchitectureAda LovelaceTrainium Gen2Ada LovelaceDa Vinci
Form FactorPCIePCIe
VRAM48 GB20 GB64 GB
Memory Bandwidth864 GB/s360 GB/s
TFLOPs (FP32)91.626.7
TFLOPs (FP16)73353.4640
TFLOPs73368053.4
TFLOPs (FP8)1,466
TDP350 W300 W130 W400 W
Launch DateOct 2023Nov 2023Apr 2023Aug 2023

Efficiency Metrics

MetricL40STrainium2RTX 4000 Ada GenerationAscend 910B
TFLOPs per Watt (FP32-eq)1.051.130.21
Memory Bandwidth per GB18.0 GB/s18.0 GB/s

Performance Equivalence

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

To match 1x NVIDIA L40S

AWS Trainium2
Compute (FP32-eq)
1.08x
Need 1.08x Trainium2
NVIDIA RTX 4000 Ada Generation
Compute (FP32-eq)
13.73x
Need 13.73x RTX 4000 Ada Generation
FP32 Compute
3.43x
Need 3.43x RTX 4000 Ada Generation
VRAM
2.40x
Need 2.40x RTX 4000 Ada Generation
Memory Bandwidth
2.40x
Need 2.40x RTX 4000 Ada Generation
Huawei Ascend 910B
VRAM
0.75x
Ascend 910B has 1.33x more

To match 1x AWS Trainium2

NVIDIA L40S
Compute (FP32-eq)
0.93x
L40S is 1.08x faster
NVIDIA RTX 4000 Ada Generation
Compute (FP32-eq)
12.73x
Need 12.73x RTX 4000 Ada Generation

To match 1x NVIDIA RTX 4000 Ada Generation

NVIDIA L40S
Compute (FP32-eq)
0.07x
L40S is 13.73x faster
FP32 Compute
0.29x
L40S is 3.43x faster
VRAM
0.42x
L40S has 2.40x more
Memory Bandwidth
0.42x
L40S has 2.40x more
AWS Trainium2
Compute (FP32-eq)
0.08x
Trainium2 is 12.73x faster
Huawei Ascend 910B
VRAM
0.31x
Ascend 910B has 3.20x more

To match 1x Huawei Ascend 910B

NVIDIA L40S
VRAM
1.33x
Need 1.33x L40S
NVIDIA RTX 4000 Ada Generation
VRAM
3.20x
Need 3.20x RTX 4000 Ada Generation

Pricing

Price TypeL40STrainium2RTX 4000 Ada GenerationAscend 910B
CAPEX (Street Price)$10,000
OPEX (per hour)$1.50/hr$1.34/hr
Price per TFLOPs (FP32-eq)$27