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 L4AMD MI100FuriosaAI WarboyEtched SohuHuawei Ascend 910B
ArchitectureAda LovelaceCDNAFuriosaAI NPUTransformer ASICDa Vinci
Form FactorPCIePCIePCIe
VRAM24 GB32 GB32 GB144 GB64 GB
Memory Bandwidth300 GB/s1,228 GB/s4,800 GB/s
TFLOPs (FP32)30.323.110,000
TFLOPs (FP16)242184.6640
TFLOPs12123.110,000
TFLOPs (FP8)485
TDP72 W300 W80 W700 W400 W
Launch DateMar 2023Nov 2020Oct 2021Jun 2024Aug 2023

Efficiency Metrics

MetricL4MI100WarboySohuAscend 910B
TFLOPs per Watt (FP32-eq)0.840.0814.29
Memory Bandwidth per GB12.5 GB/s38.4 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

AMD MI100
Compute (FP32-eq)
2.62x
Need 2.62x MI100
FP32 Compute
1.31x
Need 1.31x MI100
VRAM
0.75x
MI100 has 1.33x more
Memory Bandwidth
0.24x
MI100 has 4.09x more
FuriosaAI Warboy
VRAM
0.75x
Warboy has 1.33x 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
Huawei Ascend 910B
VRAM
0.38x
Ascend 910B has 2.67x more

To match 1x AMD MI100

NVIDIA L4
Compute (FP32-eq)
0.38x
L4 is 2.62x faster
FP32 Compute
0.76x
L4 is 1.31x faster
VRAM
1.33x
Need 1.33x L4
Memory Bandwidth
4.09x
Need 4.09x L4
FuriosaAI Warboy
VRAM
1.00x
Warboy has 1.00x more
Etched Sohu
Compute (FP32-eq)
0.00x
Sohu is 432.90x faster
FP32 Compute
0.00x
Sohu is 432.90x faster
VRAM
0.22x
Sohu has 4.50x more
Memory Bandwidth
0.26x
Sohu has 3.91x more
Huawei Ascend 910B
VRAM
0.50x
Ascend 910B has 2.00x more

To match 1x FuriosaAI Warboy

NVIDIA L4
VRAM
1.33x
Need 1.33x L4
AMD MI100
VRAM
1.00x
MI100 has 1.00x more
Etched Sohu
VRAM
0.22x
Sohu has 4.50x more
Huawei Ascend 910B
VRAM
0.50x
Ascend 910B has 2.00x more

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
AMD MI100
Compute (FP32-eq)
432.90x
Need 432.90x MI100
FP32 Compute
432.90x
Need 432.90x MI100
VRAM
4.50x
Need 4.50x MI100
Memory Bandwidth
3.91x
Need 3.91x MI100
FuriosaAI Warboy
VRAM
4.50x
Need 4.50x Warboy
Huawei Ascend 910B
VRAM
2.25x
Need 2.25x Ascend 910B

To match 1x Huawei Ascend 910B

NVIDIA L4
VRAM
2.67x
Need 2.67x L4
AMD MI100
VRAM
2.00x
Need 2.00x MI100
FuriosaAI Warboy
VRAM
2.00x
Need 2.00x Warboy
Etched Sohu
VRAM
0.44x
Sohu has 2.25x more

Pricing

Price TypeL4MI100WarboySohuAscend 910B
CAPEX (Street Price)$4,000
OPEX (per hour)$0.80/hr
Price per TFLOPs (FP32-eq)$66