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

SpecificationNVIDIA A10AMD MI100AWS Trainium2AWS Inferentia2Qualcomm Cloud AI 100
ArchitectureAmpereCDNATrainium Gen2Inferentia Gen2Qualcomm AI
Form FactorPCIePCIe——PCIe
VRAM24 GB32 GB—32 GB16 GB
Memory Bandwidth600 GB/s1,228 GB/s——134 GB/s
TFLOPs (FP32)31.223.1——50
TFLOPs (FP16)125184.6——400
TFLOPs12523.168019050
TFLOPs (FP8)—————
TDP150 W300 W300 W150 W75 W
Launch DateApr 2021Nov 2020Nov 2023Nov 2022Sep 2020

Efficiency Metrics

MetricA10MI100Trainium2Inferentia2Cloud AI 100
TFLOPs per Watt (FP32-eq)0.420.081.130.630.67
Memory Bandwidth per GB25.0 GB/s38.4 GB/s——8.4 GB/s

Performance Equivalence

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

To match 1x NVIDIA A10

AMD MI100
Compute (FP32-eq)
2.71x
Need 2.71x MI100
FP32 Compute
1.35x
Need 1.35x MI100
VRAM
0.75x
MI100 has 1.33x more
Memory Bandwidth
0.49x
MI100 has 2.05x more
AWS Trainium2
Compute (FP32-eq)
0.18x
Trainium2 is 5.44x faster
AWS Inferentia2
Compute (FP32-eq)
0.66x
Inferentia2 is 1.52x faster
VRAM
0.75x
Inferentia2 has 1.33x more
Qualcomm Cloud AI 100
Compute (FP32-eq)
1.25x
Need 1.25x Cloud AI 100
FP32 Compute
0.62x
Cloud AI 100 is 1.60x faster
VRAM
1.50x
Need 1.50x Cloud AI 100
Memory Bandwidth
4.48x
Need 4.48x Cloud AI 100

To match 1x AMD MI100

NVIDIA A10
Compute (FP32-eq)
0.37x
A10 is 2.71x faster
FP32 Compute
0.74x
A10 is 1.35x faster
VRAM
1.33x
Need 1.33x A10
Memory Bandwidth
2.05x
Need 2.05x A10
AWS Trainium2
Compute (FP32-eq)
0.07x
Trainium2 is 14.72x faster
AWS Inferentia2
Compute (FP32-eq)
0.24x
Inferentia2 is 4.11x faster
VRAM
1.00x
Inferentia2 has 1.00x more
Qualcomm Cloud AI 100
Compute (FP32-eq)
0.46x
Cloud AI 100 is 2.16x faster
FP32 Compute
0.46x
Cloud AI 100 is 2.16x faster
VRAM
2.00x
Need 2.00x Cloud AI 100
Memory Bandwidth
9.16x
Need 9.16x Cloud AI 100

To match 1x AWS Trainium2

NVIDIA A10
Compute (FP32-eq)
5.44x
Need 5.44x A10
AMD MI100
Compute (FP32-eq)
14.72x
Need 14.72x MI100
AWS Inferentia2
Compute (FP32-eq)
3.58x
Need 3.58x Inferentia2
Qualcomm Cloud AI 100
Compute (FP32-eq)
6.80x
Need 6.80x Cloud AI 100

To match 1x AWS Inferentia2

NVIDIA A10
Compute (FP32-eq)
1.52x
Need 1.52x A10
VRAM
1.33x
Need 1.33x A10
AMD MI100
Compute (FP32-eq)
4.11x
Need 4.11x MI100
VRAM
1.00x
MI100 has 1.00x more
AWS Trainium2
Compute (FP32-eq)
0.28x
Trainium2 is 3.58x faster
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 Qualcomm Cloud AI 100

NVIDIA A10
Compute (FP32-eq)
0.80x
A10 is 1.25x faster
FP32 Compute
1.60x
Need 1.60x A10
VRAM
0.67x
A10 has 1.50x more
Memory Bandwidth
0.22x
A10 has 4.48x more
AMD MI100
Compute (FP32-eq)
2.16x
Need 2.16x MI100
FP32 Compute
2.16x
Need 2.16x MI100
VRAM
0.50x
MI100 has 2.00x more
Memory Bandwidth
0.11x
MI100 has 9.16x more
AWS Trainium2
Compute (FP32-eq)
0.15x
Trainium2 is 6.80x faster
AWS Inferentia2
Compute (FP32-eq)
0.53x
Inferentia2 is 1.90x faster
VRAM
0.50x
Inferentia2 has 2.00x more

Pricing

Price TypeA10MI100Trainium2Inferentia2Cloud AI 100
CAPEX (Street Price)—————
OPEX (per hour)——$1.34/hr——
Price per TFLOPs (FP32-eq)—————