Compare XPUs

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Showing 72 XPUs • 5 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

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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

SpecificationAMD MI210AMD MI350XAWS TrainiumEtched SohuQualcomm Cloud AI 100
ArchitectureCDNA 2CDNA 4Inferentia/TrainiumTransformer ASICQualcomm AI
Form FactorPCIeOAM—PCIePCIe
VRAM64 GB288 GB32 GB144 GB16 GB
Memory Bandwidth1,638 GB/s——4,800 GB/s134 GB/s
TFLOPs (FP32)45.3——10,00050
TFLOPs (FP16)181———400
TFLOPs1812,10019010,00050
TFLOPs (FP8)—————
TDP300 W850 W200 W700 W75 W
Launch DateJan 2022Jun 2025Nov 2021Jun 2024Sep 2020

Efficiency Metrics

MetricMI210MI350XTrainiumSohuCloud AI 100
TFLOPs per Watt (FP32-eq)0.301.240.4714.290.67
Memory Bandwidth per GB25.6 GB/s——33.3 GB/s8.4 GB/s

Performance Equivalence

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

To match 1x AMD MI210

AMD MI350X
Compute (FP32-eq)
0.09x
MI350X is 11.60x faster
VRAM
0.22x
MI350X has 4.50x more
AWS Trainium
Compute (FP32-eq)
0.95x
Trainium is 1.05x faster
VRAM
2.00x
Need 2.00x Trainium
Etched Sohu
Compute (FP32-eq)
0.01x
Sohu is 110.50x faster
FP32 Compute
0.00x
Sohu is 220.75x faster
VRAM
0.44x
Sohu has 2.25x more
Memory Bandwidth
0.34x
Sohu has 2.93x more
Qualcomm Cloud AI 100
Compute (FP32-eq)
1.81x
Need 1.81x Cloud AI 100
FP32 Compute
0.91x
Cloud AI 100 is 1.10x faster
VRAM
4.00x
Need 4.00x Cloud AI 100
Memory Bandwidth
12.22x
Need 12.22x Cloud AI 100

To match 1x AMD MI350X

AMD MI210
Compute (FP32-eq)
11.60x
Need 11.60x MI210
VRAM
4.50x
Need 4.50x MI210
AWS Trainium
Compute (FP32-eq)
11.05x
Need 11.05x Trainium
VRAM
9.00x
Need 9.00x Trainium
Etched Sohu
Compute (FP32-eq)
0.10x
Sohu is 9.52x faster
VRAM
2.00x
Need 2.00x Sohu
Qualcomm Cloud AI 100
Compute (FP32-eq)
21.00x
Need 21.00x Cloud AI 100
VRAM
18.00x
Need 18.00x Cloud AI 100

To match 1x AWS Trainium

AMD MI210
Compute (FP32-eq)
1.05x
Need 1.05x MI210
VRAM
0.50x
MI210 has 2.00x more
AMD MI350X
Compute (FP32-eq)
0.09x
MI350X is 11.05x faster
VRAM
0.11x
MI350X has 9.00x more
Etched Sohu
Compute (FP32-eq)
0.01x
Sohu is 105.26x faster
VRAM
0.22x
Sohu has 4.50x more
Qualcomm Cloud AI 100
Compute (FP32-eq)
1.90x
Need 1.90x Cloud AI 100
VRAM
2.00x
Need 2.00x Cloud AI 100

To match 1x Etched Sohu

AMD MI210
Compute (FP32-eq)
110.50x
Need 110.50x MI210
FP32 Compute
220.75x
Need 220.75x MI210
VRAM
2.25x
Need 2.25x MI210
Memory Bandwidth
2.93x
Need 2.93x MI210
AMD MI350X
Compute (FP32-eq)
9.52x
Need 9.52x MI350X
VRAM
0.50x
MI350X has 2.00x more
AWS Trainium
Compute (FP32-eq)
105.26x
Need 105.26x Trainium
VRAM
4.50x
Need 4.50x Trainium
Qualcomm Cloud AI 100
Compute (FP32-eq)
200.00x
Need 200.00x Cloud AI 100
FP32 Compute
200.00x
Need 200.00x Cloud AI 100
VRAM
9.00x
Need 9.00x Cloud AI 100
Memory Bandwidth
35.82x
Need 35.82x Cloud AI 100

To match 1x Qualcomm Cloud AI 100

AMD MI210
Compute (FP32-eq)
0.55x
MI210 is 1.81x faster
FP32 Compute
1.10x
Need 1.10x MI210
VRAM
0.25x
MI210 has 4.00x more
Memory Bandwidth
0.08x
MI210 has 12.22x more
AMD MI350X
Compute (FP32-eq)
0.05x
MI350X is 21.00x faster
VRAM
0.06x
MI350X has 18.00x more
AWS Trainium
Compute (FP32-eq)
0.53x
Trainium is 1.90x faster
VRAM
0.50x
Trainium has 2.00x more
Etched Sohu
Compute (FP32-eq)
0.01x
Sohu is 200.00x faster
FP32 Compute
0.01x
Sohu is 200.00x faster
VRAM
0.11x
Sohu has 9.00x more
Memory Bandwidth
0.03x
Sohu has 35.82x more

Pricing

Price TypeMI210MI350XTrainiumSohuCloud AI 100
CAPEX (Street Price)$6,000————
OPEX (per hour)—————
Price per TFLOPs (FP32-eq)$66————