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

SpecificationNVIDIA A100 SXMGoogle TPU v4AMD MI350XIntel Habana Gaudi 2
ArchitectureAmpereTPU v4CDNA 4Gaudi Gen2
Form FactorSXMMezzanineOAMOAM
VRAM80 GB288 GB96 GB
Memory Bandwidth2,039 GB/s2,450 GB/s
TFLOPs (FP32)19.5
TFLOPs (FP16)312
TFLOPs3122752,100432
TFLOPs (FP8)
TDP400 W300 W850 W600 W
Launch DateMay 2020May 2021Jun 2025May 2022

Efficiency Metrics

MetricA100 SXMTPU v4MI350XGaudi 2
TFLOPs per Watt (FP32-eq)0.390.461.240.36
Memory Bandwidth per GB25.5 GB/s25.5 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

Google TPU v4
Compute (FP32-eq)
1.13x
Need 1.13x TPU v4
AMD MI350X
Compute (FP32-eq)
0.15x
MI350X is 6.73x faster
VRAM
0.28x
MI350X has 3.60x more
Intel Habana Gaudi 2
Compute (FP32-eq)
0.72x
Gaudi 2 is 1.38x faster
VRAM
0.83x
Gaudi 2 has 1.20x more
Memory Bandwidth
0.83x
Gaudi 2 has 1.20x more

To match 1x Google TPU v4

NVIDIA A100 SXM
Compute (FP32-eq)
0.88x
A100 SXM is 1.13x faster
AMD MI350X
Compute (FP32-eq)
0.13x
MI350X is 7.64x faster
Intel Habana Gaudi 2
Compute (FP32-eq)
0.64x
Gaudi 2 is 1.57x faster

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
Google TPU v4
Compute (FP32-eq)
7.64x
Need 7.64x TPU v4
Intel Habana Gaudi 2
Compute (FP32-eq)
4.86x
Need 4.86x Gaudi 2
VRAM
3.00x
Need 3.00x Gaudi 2

To match 1x Intel Habana Gaudi 2

NVIDIA A100 SXM
Compute (FP32-eq)
1.38x
Need 1.38x A100 SXM
VRAM
1.20x
Need 1.20x A100 SXM
Memory Bandwidth
1.20x
Need 1.20x A100 SXM
Google TPU v4
Compute (FP32-eq)
1.57x
Need 1.57x TPU v4
AMD MI350X
Compute (FP32-eq)
0.21x
MI350X is 4.86x faster
VRAM
0.33x
MI350X has 3.00x more

Pricing

Price TypeA100 SXMTPU v4MI350XGaudi 2
CAPEX (Street Price)$15,000
OPEX (per hour)$4.05/hr$3.00/hr
Price per TFLOPs (FP32-eq)$96