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

SpecificationAWS Trainium2NVIDIA H100 PCIeNVIDIA GeForce RTX 4070 SuperEtched Sohu
ArchitectureTrainium Gen2HopperAda LovelaceTransformer ASIC
Form FactorPCIePCIePCIe
VRAM80 GB12 GB144 GB
Memory Bandwidth2,000 GB/s504 GB/s4,800 GB/s
TFLOPs (FP32)5135.510,000
TFLOPs (FP16)1,51371
TFLOPs6801,5137110,000
TFLOPs (FP8)
TDP300 W350 W220 W700 W
Launch DateNov 2023Sep 2022Jan 2024Jun 2024

Efficiency Metrics

MetricTrainium2H100 PCIeGeForce RTX 4070 SuperSohu
TFLOPs per Watt (FP32-eq)1.132.160.1614.29
Memory Bandwidth per GB25.0 GB/s42.0 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 AWS Trainium2

NVIDIA H100 PCIe
Compute (FP32-eq)
0.45x
H100 PCIe is 2.23x faster
NVIDIA GeForce RTX 4070 Super
Compute (FP32-eq)
9.58x
Need 9.58x GeForce RTX 4070 Super
Etched Sohu
Compute (FP32-eq)
0.03x
Sohu is 29.41x faster

To match 1x NVIDIA H100 PCIe

AWS Trainium2
Compute (FP32-eq)
2.23x
Need 2.23x Trainium2
NVIDIA GeForce RTX 4070 Super
Compute (FP32-eq)
21.31x
Need 21.31x GeForce RTX 4070 Super
FP32 Compute
1.44x
Need 1.44x GeForce RTX 4070 Super
VRAM
6.67x
Need 6.67x GeForce RTX 4070 Super
Memory Bandwidth
3.97x
Need 3.97x GeForce RTX 4070 Super
Etched Sohu
Compute (FP32-eq)
0.08x
Sohu is 13.22x faster
FP32 Compute
0.01x
Sohu is 196.08x faster
VRAM
0.56x
Sohu has 1.80x more
Memory Bandwidth
0.42x
Sohu has 2.40x more

To match 1x NVIDIA GeForce RTX 4070 Super

AWS Trainium2
Compute (FP32-eq)
0.10x
Trainium2 is 9.58x faster
NVIDIA H100 PCIe
Compute (FP32-eq)
0.05x
H100 PCIe is 21.31x faster
FP32 Compute
0.70x
H100 PCIe is 1.44x faster
VRAM
0.15x
H100 PCIe has 6.67x more
Memory Bandwidth
0.25x
H100 PCIe has 3.97x more
Etched Sohu
Compute (FP32-eq)
0.00x
Sohu is 281.69x faster
FP32 Compute
0.00x
Sohu is 281.69x faster
VRAM
0.08x
Sohu has 12.00x more
Memory Bandwidth
0.10x
Sohu has 9.52x more

To match 1x Etched Sohu

AWS Trainium2
Compute (FP32-eq)
29.41x
Need 29.41x Trainium2
NVIDIA H100 PCIe
Compute (FP32-eq)
13.22x
Need 13.22x H100 PCIe
FP32 Compute
196.08x
Need 196.08x H100 PCIe
VRAM
1.80x
Need 1.80x H100 PCIe
Memory Bandwidth
2.40x
Need 2.40x H100 PCIe
NVIDIA GeForce RTX 4070 Super
Compute (FP32-eq)
281.69x
Need 281.69x GeForce RTX 4070 Super
FP32 Compute
281.69x
Need 281.69x GeForce RTX 4070 Super
VRAM
12.00x
Need 12.00x GeForce RTX 4070 Super
Memory Bandwidth
9.52x
Need 9.52x GeForce RTX 4070 Super

Pricing

Price TypeTrainium2H100 PCIeGeForce RTX 4070 SuperSohu
CAPEX (Street Price)
OPEX (per hour)$1.34/hr
Price per TFLOPs (FP32-eq)