Compare XPUs

Select up to 5 XPUs to compare side-by-side

Select XPUs to Compare

Showing 72 XPUs4 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

SpecificationAMD MI250XGoogle TPU v5pGoogle TPU v4AMD Radeon PRO W7900
ArchitectureCDNA 2TPU v5TPU v4RDNA 3
Form FactorOAMMezzanineMezzaninePCIe
VRAM128 GB48 GB
Memory Bandwidth3,277 GB/s864 GB/s
TFLOPs (FP32)47.961
TFLOPs (FP16)383122
TFLOPs383459275122
TFLOPs (FP8)
TDP560 W400 W300 W295 W
Launch DateNov 2021Aug 2023May 2021Apr 2023

Efficiency Metrics

MetricMI250XTPU v5pTPU v4Radeon PRO W7900
TFLOPs per Watt (FP32-eq)0.340.570.460.21
Memory Bandwidth per GB25.6 GB/s18.0 GB/s

Performance Equivalence

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

To match 1x AMD MI250X

Google TPU v5p
Compute (FP32-eq)
0.83x
TPU v5p is 1.20x faster
Google TPU v4
Compute (FP32-eq)
1.39x
Need 1.39x TPU v4
AMD Radeon PRO W7900
Compute (FP32-eq)
3.14x
Need 3.14x Radeon PRO W7900
FP32 Compute
0.79x
Radeon PRO W7900 is 1.27x faster
VRAM
2.67x
Need 2.67x Radeon PRO W7900
Memory Bandwidth
3.79x
Need 3.79x Radeon PRO W7900

To match 1x Google TPU v5p

AMD MI250X
Compute (FP32-eq)
1.20x
Need 1.20x MI250X
Google TPU v4
Compute (FP32-eq)
1.67x
Need 1.67x TPU v4
AMD Radeon PRO W7900
Compute (FP32-eq)
3.76x
Need 3.76x Radeon PRO W7900

To match 1x Google TPU v4

AMD MI250X
Compute (FP32-eq)
0.72x
MI250X is 1.39x faster
Google TPU v5p
Compute (FP32-eq)
0.60x
TPU v5p is 1.67x faster
AMD Radeon PRO W7900
Compute (FP32-eq)
2.25x
Need 2.25x Radeon PRO W7900

To match 1x AMD Radeon PRO W7900

AMD MI250X
Compute (FP32-eq)
0.32x
MI250X is 3.14x faster
FP32 Compute
1.27x
Need 1.27x MI250X
VRAM
0.38x
MI250X has 2.67x more
Memory Bandwidth
0.26x
MI250X has 3.79x more
Google TPU v5p
Compute (FP32-eq)
0.27x
TPU v5p is 3.76x faster
Google TPU v4
Compute (FP32-eq)
0.44x
TPU v4 is 2.25x faster

Pricing

Price TypeMI250XTPU v5pTPU v4Radeon PRO W7900
CAPEX (Street Price)$12,000
OPEX (per hour)$2.00/hr$5.00/hr$3.00/hr
Price per TFLOPs (FP32-eq)$63