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 A40NVIDIA H100 SXMAWS TrainiumNVIDIA GeForce RTX 4070
ArchitectureAmpereHopperInferentia/TrainiumAda Lovelace
Form FactorPCIeSXMPCIe
VRAM48 GB80 GB32 GB12 GB
Memory Bandwidth696 GB/s3,350 GB/s504 GB/s
TFLOPs (FP32)37.46729.1
TFLOPs (FP16)1501,97958.2
TFLOPs1501,97919058.2
TFLOPs (FP8)3,958
TDP300 W700 W200 W200 W
Launch DateOct 2020Sep 2022Nov 2021Apr 2023

Efficiency Metrics

MetricA40H100 SXMTrainiumGeForce RTX 4070
TFLOPs per Watt (FP32-eq)0.251.410.470.15
Memory Bandwidth per GB14.5 GB/s41.9 GB/s42.0 GB/s

Performance Equivalence

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

To match 1x NVIDIA A40

NVIDIA H100 SXM
Compute (FP32-eq)
0.08x
H100 SXM is 13.19x faster
FP32 Compute
0.56x
H100 SXM is 1.79x faster
VRAM
0.60x
H100 SXM has 1.67x more
Memory Bandwidth
0.21x
H100 SXM has 4.81x more
AWS Trainium
Compute (FP32-eq)
0.79x
Trainium is 1.27x faster
VRAM
1.50x
Need 1.50x Trainium
NVIDIA GeForce RTX 4070
Compute (FP32-eq)
2.58x
Need 2.58x GeForce RTX 4070
FP32 Compute
1.29x
Need 1.29x GeForce RTX 4070
VRAM
4.00x
Need 4.00x GeForce RTX 4070
Memory Bandwidth
1.38x
Need 1.38x GeForce RTX 4070

To match 1x NVIDIA H100 SXM

NVIDIA A40
Compute (FP32-eq)
13.19x
Need 13.19x A40
FP32 Compute
1.79x
Need 1.79x A40
VRAM
1.67x
Need 1.67x A40
Memory Bandwidth
4.81x
Need 4.81x A40
AWS Trainium
Compute (FP32-eq)
10.42x
Need 10.42x Trainium
VRAM
2.50x
Need 2.50x Trainium
NVIDIA GeForce RTX 4070
Compute (FP32-eq)
34.00x
Need 34.00x GeForce RTX 4070
FP32 Compute
2.30x
Need 2.30x GeForce RTX 4070
VRAM
6.67x
Need 6.67x GeForce RTX 4070
Memory Bandwidth
6.65x
Need 6.65x GeForce RTX 4070

To match 1x AWS Trainium

NVIDIA A40
Compute (FP32-eq)
1.27x
Need 1.27x A40
VRAM
0.67x
A40 has 1.50x more
NVIDIA H100 SXM
Compute (FP32-eq)
0.10x
H100 SXM is 10.42x faster
VRAM
0.40x
H100 SXM has 2.50x more
NVIDIA GeForce RTX 4070
Compute (FP32-eq)
3.26x
Need 3.26x GeForce RTX 4070
VRAM
2.67x
Need 2.67x GeForce RTX 4070

To match 1x NVIDIA GeForce RTX 4070

NVIDIA A40
Compute (FP32-eq)
0.39x
A40 is 2.58x faster
FP32 Compute
0.78x
A40 is 1.29x faster
VRAM
0.25x
A40 has 4.00x more
Memory Bandwidth
0.72x
A40 has 1.38x more
NVIDIA H100 SXM
Compute (FP32-eq)
0.03x
H100 SXM is 34.00x faster
FP32 Compute
0.43x
H100 SXM is 2.30x faster
VRAM
0.15x
H100 SXM has 6.67x more
Memory Bandwidth
0.15x
H100 SXM has 6.65x more
AWS Trainium
Compute (FP32-eq)
0.31x
Trainium is 3.26x faster
VRAM
0.38x
Trainium has 2.67x more

Pricing

Price TypeA40H100 SXMTrainiumGeForce RTX 4070
CAPEX (Street Price)$30,000
OPEX (per hour)$3.50/hr
Price per TFLOPs (FP32-eq)$30