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 L40SAMD MI325XCambricon MLU370Moore Threads MTT S80AMD MI300X
ArchitectureAda LovelaceCDNA 3.5MLU CoreChunxiaoCDNA 3
Form FactorPCIeOAM——OAM
VRAM48 GB256 GB48 GB32 GB192 GB
Memory Bandwidth864 GB/s6,000 GB/s——5,300 GB/s
TFLOPs (FP32)91.6175——163
TFLOPs (FP16)7331,400—2561,307
TFLOPs7331,400256—1,307
TFLOPs (FP8)1,4662,800——2,614
TDP350 W800 W300 W300 W750 W
Launch DateOct 2023Oct 2024Nov 2022Mar 2022Dec 2023

Efficiency Metrics

MetricL40SMI325XMLU370MTT S80MI300X
TFLOPs per Watt (FP32-eq)1.050.880.43—0.87
Memory Bandwidth per GB18.0 GB/s23.4 GB/s——27.6 GB/s

Performance Equivalence

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

To match 1x NVIDIA L40S

AMD MI325X
Compute (FP32-eq)
0.52x
MI325X is 1.91x faster
FP32 Compute
0.52x
MI325X is 1.91x faster
VRAM
0.19x
MI325X has 5.33x more
Memory Bandwidth
0.14x
MI325X has 6.94x more
Cambricon MLU370
Compute (FP32-eq)
2.86x
Need 2.86x MLU370
VRAM
1.00x
MLU370 has 1.00x more
Moore Threads MTT S80
VRAM
1.50x
Need 1.50x MTT S80
AMD MI300X
Compute (FP32-eq)
0.56x
MI300X is 1.78x faster
FP32 Compute
0.56x
MI300X is 1.78x faster
VRAM
0.25x
MI300X has 4.00x more
Memory Bandwidth
0.16x
MI300X has 6.13x more

To match 1x AMD MI325X

NVIDIA L40S
Compute (FP32-eq)
1.91x
Need 1.91x L40S
FP32 Compute
1.91x
Need 1.91x L40S
VRAM
5.33x
Need 5.33x L40S
Memory Bandwidth
6.94x
Need 6.94x L40S
Cambricon MLU370
Compute (FP32-eq)
5.47x
Need 5.47x MLU370
VRAM
5.33x
Need 5.33x MLU370
Moore Threads MTT S80
VRAM
8.00x
Need 8.00x MTT S80
AMD MI300X
Compute (FP32-eq)
1.07x
Need 1.07x MI300X
FP32 Compute
1.07x
Need 1.07x MI300X
VRAM
1.33x
Need 1.33x MI300X
Memory Bandwidth
1.13x
Need 1.13x MI300X

To match 1x Cambricon MLU370

NVIDIA L40S
Compute (FP32-eq)
0.35x
L40S is 2.86x faster
VRAM
1.00x
L40S has 1.00x more
AMD MI325X
Compute (FP32-eq)
0.18x
MI325X is 5.47x faster
VRAM
0.19x
MI325X has 5.33x more
Moore Threads MTT S80
VRAM
1.50x
Need 1.50x MTT S80
AMD MI300X
Compute (FP32-eq)
0.20x
MI300X is 5.11x faster
VRAM
0.25x
MI300X has 4.00x more

To match 1x Moore Threads MTT S80

NVIDIA L40S
VRAM
0.67x
L40S has 1.50x more
AMD MI325X
VRAM
0.13x
MI325X has 8.00x more
Cambricon MLU370
VRAM
0.67x
MLU370 has 1.50x more
AMD MI300X
VRAM
0.17x
MI300X has 6.00x more

To match 1x AMD MI300X

NVIDIA L40S
Compute (FP32-eq)
1.78x
Need 1.78x L40S
FP32 Compute
1.78x
Need 1.78x L40S
VRAM
4.00x
Need 4.00x L40S
Memory Bandwidth
6.13x
Need 6.13x L40S
AMD MI325X
Compute (FP32-eq)
0.93x
MI325X is 1.07x faster
FP32 Compute
0.93x
MI325X is 1.07x faster
VRAM
0.75x
MI325X has 1.33x more
Memory Bandwidth
0.88x
MI325X has 1.13x more
Cambricon MLU370
Compute (FP32-eq)
5.11x
Need 5.11x MLU370
VRAM
4.00x
Need 4.00x MLU370
Moore Threads MTT S80
VRAM
6.00x
Need 6.00x MTT S80

Pricing

Price TypeL40SMI325XMLU370MTT S80MI300X
CAPEX (Street Price)$10,000$45,000——$35,000
OPEX (per hour)$1.50/hr———$10.40/hr
Price per TFLOPs (FP32-eq)$27$64——$54