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 A100 SXMAMD MI250XGoogle TPU v5eAMD MI350XAWS Inferentia2
ArchitectureAmpereCDNA 2TPU v5CDNA 4Inferentia Gen2
Form FactorSXMOAMMezzanineOAM—
VRAM80 GB128 GB—288 GB32 GB
Memory Bandwidth2,039 GB/s3,277 GB/s———
TFLOPs (FP32)19.547.9———
TFLOPs (FP16)312383———
TFLOPs3123831972,100190
TFLOPs (FP8)—————
TDP400 W560 W250 W850 W150 W
Launch DateMay 2020Nov 2021Aug 2023Jun 2025Nov 2022

Efficiency Metrics

MetricA100 SXMMI250XTPU v5eMI350XInferentia2
TFLOPs per Watt (FP32-eq)0.390.340.391.240.63
Memory Bandwidth per GB25.5 GB/s25.6 GB/s———

Performance Equivalence

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

To match 1x NVIDIA A100 SXM

AMD MI250X
Compute (FP32-eq)
0.81x
MI250X is 1.23x faster
FP32 Compute
0.41x
MI250X is 2.46x faster
VRAM
0.63x
MI250X has 1.60x more
Memory Bandwidth
0.62x
MI250X has 1.61x more
Google TPU v5e
Compute (FP32-eq)
1.58x
Need 1.58x TPU v5e
AMD MI350X
Compute (FP32-eq)
0.15x
MI350X is 6.73x faster
VRAM
0.28x
MI350X has 3.60x more
AWS Inferentia2
Compute (FP32-eq)
1.64x
Need 1.64x Inferentia2
VRAM
2.50x
Need 2.50x Inferentia2

To match 1x AMD MI250X

NVIDIA A100 SXM
Compute (FP32-eq)
1.23x
Need 1.23x A100 SXM
FP32 Compute
2.46x
Need 2.46x A100 SXM
VRAM
1.60x
Need 1.60x A100 SXM
Memory Bandwidth
1.61x
Need 1.61x A100 SXM
Google TPU v5e
Compute (FP32-eq)
1.94x
Need 1.94x TPU v5e
AMD MI350X
Compute (FP32-eq)
0.18x
MI350X is 5.48x faster
VRAM
0.44x
MI350X has 2.25x more
AWS Inferentia2
Compute (FP32-eq)
2.02x
Need 2.02x Inferentia2
VRAM
4.00x
Need 4.00x Inferentia2

To match 1x Google TPU v5e

NVIDIA A100 SXM
Compute (FP32-eq)
0.63x
A100 SXM is 1.58x faster
AMD MI250X
Compute (FP32-eq)
0.51x
MI250X is 1.94x faster
AMD MI350X
Compute (FP32-eq)
0.09x
MI350X is 10.66x faster
AWS Inferentia2
Compute (FP32-eq)
1.04x
Need 1.04x Inferentia2

To match 1x AMD MI350X

NVIDIA A100 SXM
Compute (FP32-eq)
6.73x
Need 6.73x A100 SXM
VRAM
3.60x
Need 3.60x A100 SXM
AMD MI250X
Compute (FP32-eq)
5.48x
Need 5.48x MI250X
VRAM
2.25x
Need 2.25x MI250X
Google TPU v5e
Compute (FP32-eq)
10.66x
Need 10.66x TPU v5e
AWS Inferentia2
Compute (FP32-eq)
11.05x
Need 11.05x Inferentia2
VRAM
9.00x
Need 9.00x Inferentia2

To match 1x AWS Inferentia2

NVIDIA A100 SXM
Compute (FP32-eq)
0.61x
A100 SXM is 1.64x faster
VRAM
0.40x
A100 SXM has 2.50x more
AMD MI250X
Compute (FP32-eq)
0.50x
MI250X is 2.02x faster
VRAM
0.25x
MI250X has 4.00x more
Google TPU v5e
Compute (FP32-eq)
0.96x
TPU v5e is 1.04x faster
AMD MI350X
Compute (FP32-eq)
0.09x
MI350X is 11.05x faster
VRAM
0.11x
MI350X has 9.00x more

Pricing

Price TypeA100 SXMMI250XTPU v5eMI350XInferentia2
CAPEX (Street Price)$15,000$12,000———
OPEX (per hour)$4.05/hr$2.00/hr$1.80/hr——
Price per TFLOPs (FP32-eq)$96$63———