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Showing 72 XPUs • 4 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 A40AWS TrainiumAMD Radeon PRO W7900Qualcomm Cloud AI 100
ArchitectureAmpereInferentia/TrainiumRDNA 3Qualcomm AI
Form FactorPCIe—PCIePCIe
VRAM48 GB32 GB48 GB16 GB
Memory Bandwidth696 GB/s—864 GB/s134 GB/s
TFLOPs (FP32)37.4—6150
TFLOPs (FP16)150—122400
TFLOPs15019012250
TFLOPs (FP8)————
TDP300 W200 W295 W75 W
Launch DateOct 2020Nov 2021Apr 2023Sep 2020

Efficiency Metrics

MetricA40TrainiumRadeon PRO W7900Cloud AI 100
TFLOPs per Watt (FP32-eq)0.250.470.210.67
Memory Bandwidth per GB14.5 GB/s—18.0 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 NVIDIA A40

AWS Trainium
Compute (FP32-eq)
0.79x
Trainium is 1.27x faster
VRAM
1.50x
Need 1.50x Trainium
AMD Radeon PRO W7900
Compute (FP32-eq)
1.23x
Need 1.23x Radeon PRO W7900
FP32 Compute
0.61x
Radeon PRO W7900 is 1.63x faster
VRAM
1.00x
Radeon PRO W7900 has 1.00x more
Memory Bandwidth
0.81x
Radeon PRO W7900 has 1.24x more
Qualcomm Cloud AI 100
Compute (FP32-eq)
1.50x
Need 1.50x Cloud AI 100
FP32 Compute
0.75x
Cloud AI 100 is 1.34x faster
VRAM
3.00x
Need 3.00x Cloud AI 100
Memory Bandwidth
5.19x
Need 5.19x Cloud AI 100

To match 1x AWS Trainium

NVIDIA A40
Compute (FP32-eq)
1.27x
Need 1.27x A40
VRAM
0.67x
A40 has 1.50x more
AMD Radeon PRO W7900
Compute (FP32-eq)
1.56x
Need 1.56x Radeon PRO W7900
VRAM
0.67x
Radeon PRO W7900 has 1.50x 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 AMD Radeon PRO W7900

NVIDIA A40
Compute (FP32-eq)
0.81x
A40 is 1.23x faster
FP32 Compute
1.63x
Need 1.63x A40
VRAM
1.00x
A40 has 1.00x more
Memory Bandwidth
1.24x
Need 1.24x A40
AWS Trainium
Compute (FP32-eq)
0.64x
Trainium is 1.56x faster
VRAM
1.50x
Need 1.50x Trainium
Qualcomm Cloud AI 100
Compute (FP32-eq)
1.22x
Need 1.22x Cloud AI 100
FP32 Compute
1.22x
Need 1.22x Cloud AI 100
VRAM
3.00x
Need 3.00x Cloud AI 100
Memory Bandwidth
6.45x
Need 6.45x Cloud AI 100

To match 1x Qualcomm Cloud AI 100

NVIDIA A40
Compute (FP32-eq)
0.67x
A40 is 1.50x faster
FP32 Compute
1.34x
Need 1.34x A40
VRAM
0.33x
A40 has 3.00x more
Memory Bandwidth
0.19x
A40 has 5.19x more
AWS Trainium
Compute (FP32-eq)
0.53x
Trainium is 1.90x faster
VRAM
0.50x
Trainium has 2.00x more
AMD Radeon PRO W7900
Compute (FP32-eq)
0.82x
Radeon PRO W7900 is 1.22x faster
FP32 Compute
0.82x
Radeon PRO W7900 is 1.22x faster
VRAM
0.33x
Radeon PRO W7900 has 3.00x more
Memory Bandwidth
0.16x
Radeon PRO W7900 has 6.45x more

Pricing

Price TypeA40TrainiumRadeon PRO W7900Cloud AI 100
CAPEX (Street Price)————
OPEX (per hour)————
Price per TFLOPs (FP32-eq)————