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Showing 72 XPUs • 4 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 SXMNVIDIA H100 SXMNVIDIA GeForce RTX 5080Etched Sohu
ArchitectureAmpereHopperBlackwellTransformer ASIC
Form FactorSXMSXMPCIePCIe
VRAM80 GB80 GB16 GB144 GB
Memory Bandwidth2,039 GB/s3,350 GB/s960 GB/s4,800 GB/s
TFLOPs (FP32)19.56756.2810,000
TFLOPs (FP16)3121,979112.6—
TFLOPs3121,979112.610,000
TFLOPs (FP8)—3,958——
TDP400 W700 W360 W700 W
Launch DateMay 2020Sep 2022Jan 2025Jun 2024

Efficiency Metrics

MetricA100 SXMH100 SXMGeForce RTX 5080Sohu
TFLOPs per Watt (FP32-eq)0.391.410.1614.29
Memory Bandwidth per GB25.5 GB/s41.9 GB/s60.0 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 H100 SXM
Compute (FP32-eq)
0.16x
H100 SXM is 6.34x faster
FP32 Compute
0.29x
H100 SXM is 3.44x faster
VRAM
1.00x
H100 SXM has 1.00x more
Memory Bandwidth
0.61x
H100 SXM has 1.64x more
NVIDIA GeForce RTX 5080
Compute (FP32-eq)
2.77x
Need 2.77x GeForce RTX 5080
FP32 Compute
0.35x
GeForce RTX 5080 is 2.89x faster
VRAM
5.00x
Need 5.00x GeForce RTX 5080
Memory Bandwidth
2.12x
Need 2.12x GeForce RTX 5080
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

To match 1x NVIDIA H100 SXM

NVIDIA A100 SXM
Compute (FP32-eq)
6.34x
Need 6.34x A100 SXM
FP32 Compute
3.44x
Need 3.44x A100 SXM
VRAM
1.00x
A100 SXM has 1.00x more
Memory Bandwidth
1.64x
Need 1.64x A100 SXM
NVIDIA GeForce RTX 5080
Compute (FP32-eq)
17.58x
Need 17.58x GeForce RTX 5080
FP32 Compute
1.19x
Need 1.19x GeForce RTX 5080
VRAM
5.00x
Need 5.00x GeForce RTX 5080
Memory Bandwidth
3.49x
Need 3.49x GeForce RTX 5080
Etched Sohu
Compute (FP32-eq)
0.10x
Sohu is 10.11x faster
FP32 Compute
0.01x
Sohu is 149.25x faster
VRAM
0.56x
Sohu has 1.80x more
Memory Bandwidth
0.70x
Sohu has 1.43x more

To match 1x NVIDIA GeForce RTX 5080

NVIDIA A100 SXM
Compute (FP32-eq)
0.36x
A100 SXM is 2.77x faster
FP32 Compute
2.89x
Need 2.89x A100 SXM
VRAM
0.20x
A100 SXM has 5.00x more
Memory Bandwidth
0.47x
A100 SXM has 2.12x more
NVIDIA H100 SXM
Compute (FP32-eq)
0.06x
H100 SXM is 17.58x faster
FP32 Compute
0.84x
H100 SXM is 1.19x faster
VRAM
0.20x
H100 SXM has 5.00x more
Memory Bandwidth
0.29x
H100 SXM has 3.49x more
Etched Sohu
Compute (FP32-eq)
0.01x
Sohu is 177.62x faster
FP32 Compute
0.01x
Sohu is 177.68x faster
VRAM
0.11x
Sohu has 9.00x more
Memory Bandwidth
0.20x
Sohu has 5.00x 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 H100 SXM
Compute (FP32-eq)
10.11x
Need 10.11x H100 SXM
FP32 Compute
149.25x
Need 149.25x H100 SXM
VRAM
1.80x
Need 1.80x H100 SXM
Memory Bandwidth
1.43x
Need 1.43x H100 SXM
NVIDIA GeForce RTX 5080
Compute (FP32-eq)
177.62x
Need 177.62x GeForce RTX 5080
FP32 Compute
177.68x
Need 177.68x GeForce RTX 5080
VRAM
9.00x
Need 9.00x GeForce RTX 5080
Memory Bandwidth
5.00x
Need 5.00x GeForce RTX 5080

Pricing

Price TypeA100 SXMH100 SXMGeForce RTX 5080Sohu
CAPEX (Street Price)$15,000$30,000——
OPEX (per hour)$4.05/hr$3.50/hr——
Price per TFLOPs (FP32-eq)$96$30——