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

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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 MI100Tenstorrent WormholeAWS Inferentia2AMD MI300X
ArchitectureAmpereCDNATensix CoreInferentia Gen2CDNA 3
Form FactorPCIePCIeOAM
VRAM24 GB32 GB24 GB32 GB192 GB
Memory Bandwidth600 GB/s1,228 GB/s5,300 GB/s
TFLOPs (FP32)31.223.1163
TFLOPs (FP16)125184.61,307
TFLOPs12523.13641901,307
TFLOPs (FP8)2,614
TDP150 W300 W160 W150 W750 W
Launch DateApr 2021Nov 2020Oct 2023Nov 2022Dec 2023

Efficiency Metrics

MetricA10MI100WormholeInferentia2MI300X
TFLOPs per Watt (FP32-eq)0.420.081.140.630.87
Memory Bandwidth per GB25.0 GB/s38.4 GB/s27.6 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
Tenstorrent Wormhole
Compute (FP32-eq)
0.34x
Wormhole is 2.91x faster
VRAM
1.00x
Wormhole has 1.00x more
AWS Inferentia2
Compute (FP32-eq)
0.66x
Inferentia2 is 1.52x faster
VRAM
0.75x
Inferentia2 has 1.33x more
AMD MI300X
Compute (FP32-eq)
0.10x
MI300X is 10.46x faster
FP32 Compute
0.19x
MI300X is 5.22x faster
VRAM
0.13x
MI300X has 8.00x more
Memory Bandwidth
0.11x
MI300X has 8.83x more

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
Tenstorrent Wormhole
Compute (FP32-eq)
0.13x
Wormhole is 7.88x faster
VRAM
1.33x
Need 1.33x Wormhole
AWS Inferentia2
Compute (FP32-eq)
0.24x
Inferentia2 is 4.11x faster
VRAM
1.00x
Inferentia2 has 1.00x more
AMD MI300X
Compute (FP32-eq)
0.04x
MI300X is 28.29x faster
FP32 Compute
0.14x
MI300X is 7.06x faster
VRAM
0.17x
MI300X has 6.00x more
Memory Bandwidth
0.23x
MI300X has 4.32x more

To match 1x Tenstorrent Wormhole

NVIDIA A10
Compute (FP32-eq)
2.91x
Need 2.91x A10
VRAM
1.00x
A10 has 1.00x more
AMD MI100
Compute (FP32-eq)
7.88x
Need 7.88x MI100
VRAM
0.75x
MI100 has 1.33x more
AWS Inferentia2
Compute (FP32-eq)
1.92x
Need 1.92x Inferentia2
VRAM
0.75x
Inferentia2 has 1.33x more
AMD MI300X
Compute (FP32-eq)
0.28x
MI300X is 3.59x faster
VRAM
0.13x
MI300X has 8.00x more

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
Tenstorrent Wormhole
Compute (FP32-eq)
0.52x
Wormhole is 1.92x faster
VRAM
1.33x
Need 1.33x Wormhole
AMD MI300X
Compute (FP32-eq)
0.15x
MI300X is 6.88x faster
VRAM
0.17x
MI300X has 6.00x more

To match 1x AMD MI300X

NVIDIA A10
Compute (FP32-eq)
10.46x
Need 10.46x A10
FP32 Compute
5.22x
Need 5.22x A10
VRAM
8.00x
Need 8.00x A10
Memory Bandwidth
8.83x
Need 8.83x A10
AMD MI100
Compute (FP32-eq)
28.29x
Need 28.29x MI100
FP32 Compute
7.06x
Need 7.06x MI100
VRAM
6.00x
Need 6.00x MI100
Memory Bandwidth
4.32x
Need 4.32x MI100
Tenstorrent Wormhole
Compute (FP32-eq)
3.59x
Need 3.59x Wormhole
VRAM
8.00x
Need 8.00x Wormhole
AWS Inferentia2
Compute (FP32-eq)
6.88x
Need 6.88x Inferentia2
VRAM
6.00x
Need 6.00x Inferentia2

Pricing

Price TypeA10MI100WormholeInferentia2MI300X
CAPEX (Street Price)$35,000
OPEX (per hour)$10.40/hr
Price per TFLOPs (FP32-eq)$54