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 A100 SXMNVIDIA L4AMD MI210Etched SohuHuawei Ascend 910B
ArchitectureAmpereAda LovelaceCDNA 2Transformer ASICDa Vinci
Form FactorSXMPCIePCIePCIe—
VRAM80 GB24 GB64 GB144 GB64 GB
Memory Bandwidth2,039 GB/s300 GB/s1,638 GB/s4,800 GB/s—
TFLOPs (FP32)19.530.345.310,000—
TFLOPs (FP16)312242181—640
TFLOPs31212118110,000—
TFLOPs (FP8)—485———
TDP400 W72 W300 W700 W400 W
Launch DateMay 2020Mar 2023Jan 2022Jun 2024Aug 2023

Efficiency Metrics

MetricA100 SXML4MI210SohuAscend 910B
TFLOPs per Watt (FP32-eq)0.390.840.3014.29—
Memory Bandwidth per GB25.5 GB/s12.5 GB/s25.6 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 A100 SXM

NVIDIA L4
Compute (FP32-eq)
2.58x
Need 2.58x L4
FP32 Compute
0.64x
L4 is 1.55x faster
VRAM
3.33x
Need 3.33x L4
Memory Bandwidth
6.80x
Need 6.80x L4
AMD MI210
Compute (FP32-eq)
1.72x
Need 1.72x MI210
FP32 Compute
0.43x
MI210 is 2.32x faster
VRAM
1.25x
Need 1.25x MI210
Memory Bandwidth
1.24x
Need 1.24x MI210
Etched Sohu
Compute (FP32-eq)
0.02x
Sohu is 64.10x faster
FP32 Compute
0.00x
Sohu is 512.82x faster
VRAM
0.56x
Sohu has 1.80x more
Memory Bandwidth
0.42x
Sohu has 2.35x more
Huawei Ascend 910B
VRAM
1.25x
Need 1.25x Ascend 910B

To match 1x NVIDIA L4

NVIDIA A100 SXM
Compute (FP32-eq)
0.39x
A100 SXM is 2.58x faster
FP32 Compute
1.55x
Need 1.55x A100 SXM
VRAM
0.30x
A100 SXM has 3.33x more
Memory Bandwidth
0.15x
A100 SXM has 6.80x more
AMD MI210
Compute (FP32-eq)
0.67x
MI210 is 1.50x faster
FP32 Compute
0.67x
MI210 is 1.50x faster
VRAM
0.38x
MI210 has 2.67x more
Memory Bandwidth
0.18x
MI210 has 5.46x 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 MI210

NVIDIA A100 SXM
Compute (FP32-eq)
0.58x
A100 SXM is 1.72x faster
FP32 Compute
2.32x
Need 2.32x A100 SXM
VRAM
0.80x
A100 SXM has 1.25x more
Memory Bandwidth
0.80x
A100 SXM has 1.24x more
NVIDIA L4
Compute (FP32-eq)
1.50x
Need 1.50x L4
FP32 Compute
1.50x
Need 1.50x L4
VRAM
2.67x
Need 2.67x L4
Memory Bandwidth
5.46x
Need 5.46x L4
Etched Sohu
Compute (FP32-eq)
0.01x
Sohu is 110.50x faster
FP32 Compute
0.00x
Sohu is 220.75x faster
VRAM
0.44x
Sohu has 2.25x more
Memory Bandwidth
0.34x
Sohu has 2.93x more
Huawei Ascend 910B
VRAM
1.00x
Ascend 910B has 1.00x more

To match 1x Etched Sohu

NVIDIA A100 SXM
Compute (FP32-eq)
64.10x
Need 64.10x A100 SXM
FP32 Compute
512.82x
Need 512.82x A100 SXM
VRAM
1.80x
Need 1.80x A100 SXM
Memory Bandwidth
2.35x
Need 2.35x A100 SXM
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 MI210
Compute (FP32-eq)
110.50x
Need 110.50x MI210
FP32 Compute
220.75x
Need 220.75x MI210
VRAM
2.25x
Need 2.25x MI210
Memory Bandwidth
2.93x
Need 2.93x MI210
Huawei Ascend 910B
VRAM
2.25x
Need 2.25x Ascend 910B

To match 1x Huawei Ascend 910B

NVIDIA A100 SXM
VRAM
0.80x
A100 SXM has 1.25x more
NVIDIA L4
VRAM
2.67x
Need 2.67x L4
AMD MI210
VRAM
1.00x
MI210 has 1.00x more
Etched Sohu
VRAM
0.44x
Sohu has 2.25x more

Pricing

Price TypeA100 SXML4MI210SohuAscend 910B
CAPEX (Street Price)$15,000$4,000$6,000——
OPEX (per hour)$4.05/hr$0.80/hr———
Price per TFLOPs (FP32-eq)$96$66$66——