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 A40AMD MI250XAWS Inferentia2NVIDIA H100 SXMEtched Sohu
ArchitectureAmpereCDNA 2Inferentia Gen2HopperTransformer ASIC
Form FactorPCIeOAMSXMPCIe
VRAM48 GB128 GB32 GB80 GB144 GB
Memory Bandwidth696 GB/s3,277 GB/s3,350 GB/s4,800 GB/s
TFLOPs (FP32)37.447.96710,000
TFLOPs (FP16)1503831,979
TFLOPs1503831901,97910,000
TFLOPs (FP8)3,958
TDP300 W560 W150 W700 W700 W
Launch DateOct 2020Nov 2021Nov 2022Sep 2022Jun 2024

Efficiency Metrics

MetricA40MI250XInferentia2H100 SXMSohu
TFLOPs per Watt (FP32-eq)0.250.340.631.4114.29
Memory Bandwidth per GB14.5 GB/s25.6 GB/s41.9 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 A40

AMD MI250X
Compute (FP32-eq)
0.39x
MI250X is 2.55x faster
FP32 Compute
0.78x
MI250X is 1.28x faster
VRAM
0.38x
MI250X has 2.67x more
Memory Bandwidth
0.21x
MI250X has 4.71x more
AWS Inferentia2
Compute (FP32-eq)
0.79x
Inferentia2 is 1.27x faster
VRAM
1.50x
Need 1.50x Inferentia2
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
Etched Sohu
Compute (FP32-eq)
0.01x
Sohu is 133.33x faster
FP32 Compute
0.00x
Sohu is 267.38x faster
VRAM
0.33x
Sohu has 3.00x more
Memory Bandwidth
0.14x
Sohu has 6.90x more

To match 1x AMD MI250X

NVIDIA A40
Compute (FP32-eq)
2.55x
Need 2.55x A40
FP32 Compute
1.28x
Need 1.28x A40
VRAM
2.67x
Need 2.67x A40
Memory Bandwidth
4.71x
Need 4.71x A40
AWS Inferentia2
Compute (FP32-eq)
2.02x
Need 2.02x Inferentia2
VRAM
4.00x
Need 4.00x Inferentia2
NVIDIA H100 SXM
Compute (FP32-eq)
0.19x
H100 SXM is 5.17x faster
FP32 Compute
0.71x
H100 SXM is 1.40x faster
VRAM
1.60x
Need 1.60x H100 SXM
Memory Bandwidth
0.98x
H100 SXM has 1.02x more
Etched Sohu
Compute (FP32-eq)
0.02x
Sohu is 52.22x faster
FP32 Compute
0.00x
Sohu is 208.77x faster
VRAM
0.89x
Sohu has 1.13x more
Memory Bandwidth
0.68x
Sohu has 1.46x more

To match 1x AWS Inferentia2

NVIDIA A40
Compute (FP32-eq)
1.27x
Need 1.27x A40
VRAM
0.67x
A40 has 1.50x more
AMD MI250X
Compute (FP32-eq)
0.50x
MI250X is 2.02x faster
VRAM
0.25x
MI250X has 4.00x more
NVIDIA H100 SXM
Compute (FP32-eq)
0.10x
H100 SXM is 10.42x faster
VRAM
0.40x
H100 SXM has 2.50x more
Etched Sohu
Compute (FP32-eq)
0.01x
Sohu is 105.26x faster
VRAM
0.22x
Sohu has 4.50x more

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
AMD MI250X
Compute (FP32-eq)
5.17x
Need 5.17x MI250X
FP32 Compute
1.40x
Need 1.40x MI250X
VRAM
0.63x
MI250X has 1.60x more
Memory Bandwidth
1.02x
Need 1.02x MI250X
AWS Inferentia2
Compute (FP32-eq)
10.42x
Need 10.42x Inferentia2
VRAM
2.50x
Need 2.50x Inferentia2
Etched Sohu
Compute (FP32-eq)
0.10x
Sohu is 10.11x faster
FP32 Compute
0.01x
Sohu is 149.25x faster
VRAM
0.56x
Sohu has 1.80x more
Memory Bandwidth
0.70x
Sohu has 1.43x more

To match 1x Etched Sohu

NVIDIA A40
Compute (FP32-eq)
133.33x
Need 133.33x A40
FP32 Compute
267.38x
Need 267.38x A40
VRAM
3.00x
Need 3.00x A40
Memory Bandwidth
6.90x
Need 6.90x A40
AMD MI250X
Compute (FP32-eq)
52.22x
Need 52.22x MI250X
FP32 Compute
208.77x
Need 208.77x MI250X
VRAM
1.13x
Need 1.13x MI250X
Memory Bandwidth
1.46x
Need 1.46x MI250X
AWS Inferentia2
Compute (FP32-eq)
105.26x
Need 105.26x Inferentia2
VRAM
4.50x
Need 4.50x Inferentia2
NVIDIA H100 SXM
Compute (FP32-eq)
10.11x
Need 10.11x H100 SXM
FP32 Compute
149.25x
Need 149.25x H100 SXM
VRAM
1.80x
Need 1.80x H100 SXM
Memory Bandwidth
1.43x
Need 1.43x H100 SXM

Pricing

Price TypeA40MI250XInferentia2H100 SXMSohu
CAPEX (Street Price)$12,000$30,000
OPEX (per hour)$2.00/hr$3.50/hr
Price per TFLOPs (FP32-eq)$63$30