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

Maximum of 5 XPUs can be compared at once. Deselect one to add another.

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 L4Groq LPU Inference EngineCambricon MLU370AMD MI300AEtched Sohu
ArchitectureAda LovelaceTSP (Tensor Streaming Processor)MLU CoreCDNA 3Transformer ASIC
Form FactorPCIeOAMPCIe
VRAM24 GB230 GB48 GB128 GB144 GB
Memory Bandwidth300 GB/s5,300 GB/s4,800 GB/s
TFLOPs (FP32)30.3122.610,000
TFLOPs (FP16)242980.6
TFLOPs121256980.610,000
TFLOPs (FP8)485
TDP72 W300 W300 W760 W700 W
Launch DateMar 2023Feb 2024Nov 2022Dec 2023Jun 2024

Efficiency Metrics

MetricL4LPU Inference EngineMLU370MI300ASohu
TFLOPs per Watt (FP32-eq)0.840.430.6514.29
Memory Bandwidth per GB12.5 GB/s41.4 GB/s33.3 GB/s

Performance Equivalence

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

To match 1x NVIDIA L4

Groq LPU Inference Engine
VRAM
0.10x
LPU Inference Engine has 9.58x more
Cambricon MLU370
Compute (FP32-eq)
0.47x
MLU370 is 2.12x faster
VRAM
0.50x
MLU370 has 2.00x more
AMD MI300A
Compute (FP32-eq)
0.12x
MI300A is 8.10x faster
FP32 Compute
0.25x
MI300A is 4.05x faster
VRAM
0.19x
MI300A has 5.33x more
Memory Bandwidth
0.06x
MI300A has 17.67x more
Etched Sohu
Compute (FP32-eq)
0.01x
Sohu is 165.29x faster
FP32 Compute
0.00x
Sohu is 330.03x faster
VRAM
0.17x
Sohu has 6.00x more
Memory Bandwidth
0.06x
Sohu has 16.00x more

To match 1x Groq LPU Inference Engine

NVIDIA L4
VRAM
9.58x
Need 9.58x L4
Cambricon MLU370
VRAM
4.79x
Need 4.79x MLU370
AMD MI300A
VRAM
1.80x
Need 1.80x MI300A
Etched Sohu
VRAM
1.60x
Need 1.60x Sohu

To match 1x Cambricon MLU370

NVIDIA L4
Compute (FP32-eq)
2.12x
Need 2.12x L4
VRAM
2.00x
Need 2.00x L4
Groq LPU Inference Engine
VRAM
0.21x
LPU Inference Engine has 4.79x more
AMD MI300A
Compute (FP32-eq)
0.26x
MI300A is 3.83x faster
VRAM
0.38x
MI300A has 2.67x more
Etched Sohu
Compute (FP32-eq)
0.01x
Sohu is 78.13x faster
VRAM
0.33x
Sohu has 3.00x more

To match 1x AMD MI300A

NVIDIA L4
Compute (FP32-eq)
8.10x
Need 8.10x L4
FP32 Compute
4.05x
Need 4.05x L4
VRAM
5.33x
Need 5.33x L4
Memory Bandwidth
17.67x
Need 17.67x L4
Groq LPU Inference Engine
VRAM
0.56x
LPU Inference Engine has 1.80x more
Cambricon MLU370
Compute (FP32-eq)
3.83x
Need 3.83x MLU370
VRAM
2.67x
Need 2.67x MLU370
Etched Sohu
Compute (FP32-eq)
0.05x
Sohu is 20.40x faster
FP32 Compute
0.01x
Sohu is 81.57x faster
VRAM
0.89x
Sohu has 1.13x more
Memory Bandwidth
1.10x
Need 1.10x Sohu

To match 1x Etched Sohu

NVIDIA L4
Compute (FP32-eq)
165.29x
Need 165.29x L4
FP32 Compute
330.03x
Need 330.03x L4
VRAM
6.00x
Need 6.00x L4
Memory Bandwidth
16.00x
Need 16.00x L4
Groq LPU Inference Engine
VRAM
0.63x
LPU Inference Engine has 1.60x more
Cambricon MLU370
Compute (FP32-eq)
78.13x
Need 78.13x MLU370
VRAM
3.00x
Need 3.00x MLU370
AMD MI300A
Compute (FP32-eq)
20.40x
Need 20.40x MI300A
FP32 Compute
81.57x
Need 81.57x MI300A
VRAM
1.13x
Need 1.13x MI300A
Memory Bandwidth
0.91x
MI300A has 1.10x more

Pricing

Price TypeL4LPU Inference EngineMLU370MI300ASohu
CAPEX (Street Price)$4,000
OPEX (per hour)$0.80/hr
Price per TFLOPs (FP32-eq)$66