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Showing 128 XPUs • 8 selected

Alibaba

Hanguang 800

AMD

MI100

23.1 TFLOPs

AMD

MI210

181 TFLOPs

AMD

MI250X

383 TFLOPs

AMD

MI300X

1,307 TFLOPs

AMD

MI325X

1,400 TFLOPs

AMD

MI350X

2,100 TFLOPs

AMD

MI355X

5,300 TFLOPs

AMD

Radeon Pro V520

23.04 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

FuriosaAI

RNGD (Renegade)

256 TFLOPs

FuriosaAI

Warboy

Google

TPU v4

275 TFLOPs

Google

TPU v5e

197 TFLOPs

Google

TPU v5p

459 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

A10G

125 TFLOPs

NVIDIA

A16

71.2 TFLOPs

NVIDIA

A30

165 TFLOPs

NVIDIA

A40

150 TFLOPs

NVIDIA

A800

312 TFLOPs

NVIDIA

B100

1,800 TFLOPs

NVIDIA

B200

2,250 TFLOPs

NVIDIA

GB200

2,500 TFLOPs

NVIDIA

GeForce GT 710

0.366 TFLOPs

NVIDIA

GeForce GT 730

0.693 TFLOPs

NVIDIA

GeForce GTX 1050 Ti

2.138 TFLOPs

NVIDIA

GeForce GTX 1060

4.375 TFLOPs

NVIDIA

GeForce GTX 1070

6.463 TFLOPs

NVIDIA

GeForce GTX 1070 Ti

8.186 TFLOPs

NVIDIA

GeForce GTX 1080

8.873 TFLOPs

NVIDIA

GeForce GTX 1080 Ti

11.34 TFLOPs

NVIDIA

GeForce GTX 1650

2.984 TFLOPs

NVIDIA

GeForce GTX 1660

5.027 TFLOPs

NVIDIA

GeForce GTX 1660 Super

5.027 TFLOPs

NVIDIA

GeForce RTX 2060

6.5 TFLOPs

NVIDIA

GeForce RTX 2060 Super

7.2 TFLOPs

NVIDIA

GeForce RTX 2070

7.5 TFLOPs

NVIDIA

GeForce RTX 2080

10.1 TFLOPs

NVIDIA

GeForce RTX 2080 Ti

13.4 TFLOPs

NVIDIA

GeForce RTX 3050

18.2 TFLOPs

NVIDIA

GeForce RTX 3060

25.4 TFLOPs

NVIDIA

GeForce RTX 3060 Ti

33.2 TFLOPs

NVIDIA

GeForce RTX 3070

40.5 TFLOPs

NVIDIA

GeForce RTX 3070 Ti

43.2 TFLOPs

NVIDIA

GeForce RTX 3080

59.2 TFLOPs

NVIDIA

GeForce RTX 3080 Ti

68.4 TFLOPs

NVIDIA

GeForce RTX 3090

71 TFLOPs

NVIDIA

GeForce RTX 3090 Ti

80 TFLOPs

NVIDIA

GeForce RTX 4060

30 TFLOPs

NVIDIA

GeForce RTX 4060 Ti

44 TFLOPs

NVIDIA

GeForce RTX 4060 Ti 16GB

44 TFLOPs

NVIDIA

GeForce RTX 4070

58.92 TFLOPs

NVIDIA

GeForce RTX 4070 Super

70 TFLOPs

NVIDIA

GeForce RTX 4070 Ti

80.16 TFLOPs

NVIDIA

GeForce RTX 4070 Ti Super

88 TFLOPs

NVIDIA

GeForce RTX 4080

97.76 TFLOPs

NVIDIA

GeForce RTX 4080 Super

104 TFLOPs

NVIDIA

GeForce RTX 4090

165.2 TFLOPs

NVIDIA

GeForce RTX 4090 D

165 TFLOPs

NVIDIA

GeForce RTX 5060

60 TFLOPs

NVIDIA

GeForce RTX 5060 Ti

88 TFLOPs

NVIDIA

GeForce RTX 5070

110 TFLOPs

NVIDIA

GeForce RTX 5070 Ti

133 TFLOPs

NVIDIA

GeForce RTX 5080

171 TFLOPs

NVIDIA

GeForce RTX 5090

318 TFLOPs

NVIDIA

GH200

989 TFLOPs

NVIDIA

H100 SXM

1,979 TFLOPs

NVIDIA

H200 SXM

1,979 TFLOPs

NVIDIA

K80

8.73 TFLOPs

NVIDIA

L4

121 TFLOPs

NVIDIA

L40

181.05 TFLOPs

NVIDIA

L40S

733 TFLOPs

NVIDIA

P100

9.3 TFLOPs

NVIDIA

P4

5.5 TFLOPs

NVIDIA

P40

12 TFLOPs

NVIDIA

Quadro K620

0.768 TFLOPs

NVIDIA

Quadro M4000

2.57 TFLOPs

NVIDIA

Quadro M60

4.825 TFLOPs

NVIDIA

Quadro P1000

1.894 TFLOPs

NVIDIA

Quadro P4000

5.304 TFLOPs

NVIDIA

Quadro P5000

8.873 TFLOPs

NVIDIA

Quadro P600

1.117 TFLOPs

NVIDIA

Quadro P6000

12.63 TFLOPs

NVIDIA

Quadro P620

1.386 TFLOPs

NVIDIA

Quadro RTX 6000

130.5 TFLOPs

NVIDIA

RTX 4000

57.6 TFLOPs

NVIDIA

RTX 4000 SFF Ada Generation

52 TFLOPs

NVIDIA

RTX 4500 Ada Generation

97 TFLOPs

NVIDIA

RTX 5000

89.2 TFLOPs

NVIDIA

RTX 5000 Ada Generation

130 TFLOPs

NVIDIA

RTX 5000 Blackwell

242 TFLOPs

NVIDIA

RTX 5880 Ada Generation

167 TFLOPs

NVIDIA

RTX 6000 Ada Generation

182.5 TFLOPs

NVIDIA

RTX 6000 Blackwell

362 TFLOPs

NVIDIA

RTX A2000

16 TFLOPs

NVIDIA

RTX A4000

38.7 TFLOPs

NVIDIA

RTX A4500

46.6 TFLOPs

NVIDIA

RTX A5000

54.2 TFLOPs

NVIDIA

RTX A6000

77.9 TFLOPs

NVIDIA

T1000

2.5 TFLOPs

NVIDIA

T4

65 TFLOPs

NVIDIA

T4G

65 TFLOPs

NVIDIA

V100S

16.4 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

SpecificationCerebras WSE-3NVIDIA GeForce RTX 5060 TiNVIDIA B100NVIDIA GeForce GTX 1660NVIDIA GeForce RTX 3090NVIDIA V100SNVIDIA A100 SXMNVIDIA GeForce GTX 1080
ArchitectureWafer Scale EngineBlackwellBlackwellTuringAmpereVoltaAmperePascal
Form Factor—PCIeSXMPCIePCIePCIeSXMPCIe
VRAM44 GB16 GB192 GB6 GB24 GB32 GB80 GB8 GB
Memory Bandwidth—544 GB/s8,000 GB/s192 GB/s936 GB/s1,134 GB/s2,039 GB/s320 GB/s
TFLOPs (FP32)—25455.02735.616.419.58.873
TFLOPs (FP16)——————312—
TFLOPs—881,8005.0277116.43128.873
TFLOPs (FP8)————————
TDP23000 W220 W700 W120 W350 W250 W400 W180 W
Launch DateMar 2024Mar 2025Mar 2024Mar 2019Sep 2020Nov 2019May 2020May 2016

Efficiency Metrics

MetricWSE-3GeForce RTX 5060 TiB100GeForce GTX 1660GeForce RTX 3090V100SA100 SXMGeForce GTX 1080
TFLOPs per Watt (FP32-eq)—0.201.290.040.100.070.390.05
Memory Bandwidth per GB—34.0 GB/s41.7 GB/s32.0 GB/s39.0 GB/s35.4 GB/s25.5 GB/s40.0 GB/s

Performance Equivalence

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

To match 1x Cerebras WSE-3

NVIDIA GeForce RTX 5060 Ti
VRAM
2.75x
Need 2.75x GeForce RTX 5060 Ti
NVIDIA B100
VRAM
0.23x
B100 has 4.36x more
NVIDIA GeForce GTX 1660
VRAM
7.33x
Need 7.33x GeForce GTX 1660
NVIDIA GeForce RTX 3090
VRAM
1.83x
Need 1.83x GeForce RTX 3090
NVIDIA V100S
VRAM
1.38x
Need 1.38x V100S
NVIDIA A100 SXM
VRAM
0.55x
A100 SXM has 1.82x more
NVIDIA GeForce GTX 1080
VRAM
5.50x
Need 5.50x GeForce GTX 1080

To match 1x NVIDIA GeForce RTX 5060 Ti

Cerebras WSE-3
VRAM
0.36x
WSE-3 has 2.75x more
NVIDIA B100
Compute (FP32-eq)
0.05x
B100 is 20.45x faster
FP32 Compute
0.56x
B100 is 1.80x faster
VRAM
0.08x
B100 has 12.00x more
Memory Bandwidth
0.07x
B100 has 14.71x more
NVIDIA GeForce GTX 1660
Compute (FP32-eq)
8.75x
Need 8.75x GeForce GTX 1660
FP32 Compute
4.97x
Need 4.97x GeForce GTX 1660
VRAM
2.67x
Need 2.67x GeForce GTX 1660
Memory Bandwidth
2.83x
Need 2.83x GeForce GTX 1660
NVIDIA GeForce RTX 3090
Compute (FP32-eq)
1.24x
Need 1.24x GeForce RTX 3090
FP32 Compute
0.70x
GeForce RTX 3090 is 1.42x faster
VRAM
0.67x
GeForce RTX 3090 has 1.50x more
Memory Bandwidth
0.58x
GeForce RTX 3090 has 1.72x more
NVIDIA V100S
Compute (FP32-eq)
2.68x
Need 2.68x V100S
FP32 Compute
1.52x
Need 1.52x V100S
VRAM
0.50x
V100S has 2.00x more
Memory Bandwidth
0.48x
V100S has 2.08x more
NVIDIA A100 SXM
Compute (FP32-eq)
0.28x
A100 SXM is 3.55x faster
FP32 Compute
1.28x
Need 1.28x A100 SXM
VRAM
0.20x
A100 SXM has 5.00x more
Memory Bandwidth
0.27x
A100 SXM has 3.75x more
NVIDIA GeForce GTX 1080
Compute (FP32-eq)
4.96x
Need 4.96x GeForce GTX 1080
FP32 Compute
2.82x
Need 2.82x GeForce GTX 1080
VRAM
2.00x
Need 2.00x GeForce GTX 1080
Memory Bandwidth
1.70x
Need 1.70x GeForce GTX 1080

To match 1x NVIDIA B100

Cerebras WSE-3
VRAM
4.36x
Need 4.36x WSE-3
NVIDIA GeForce RTX 5060 Ti
Compute (FP32-eq)
20.45x
Need 20.45x GeForce RTX 5060 Ti
FP32 Compute
1.80x
Need 1.80x GeForce RTX 5060 Ti
VRAM
12.00x
Need 12.00x GeForce RTX 5060 Ti
Memory Bandwidth
14.71x
Need 14.71x GeForce RTX 5060 Ti
NVIDIA GeForce GTX 1660
Compute (FP32-eq)
179.03x
Need 179.03x GeForce GTX 1660
FP32 Compute
8.95x
Need 8.95x GeForce GTX 1660
VRAM
32.00x
Need 32.00x GeForce GTX 1660
Memory Bandwidth
41.67x
Need 41.67x GeForce GTX 1660
NVIDIA GeForce RTX 3090
Compute (FP32-eq)
25.35x
Need 25.35x GeForce RTX 3090
FP32 Compute
1.26x
Need 1.26x GeForce RTX 3090
VRAM
8.00x
Need 8.00x GeForce RTX 3090
Memory Bandwidth
8.55x
Need 8.55x GeForce RTX 3090
NVIDIA V100S
Compute (FP32-eq)
54.88x
Need 54.88x V100S
FP32 Compute
2.74x
Need 2.74x V100S
VRAM
6.00x
Need 6.00x V100S
Memory Bandwidth
7.05x
Need 7.05x V100S
NVIDIA A100 SXM
Compute (FP32-eq)
5.77x
Need 5.77x A100 SXM
FP32 Compute
2.31x
Need 2.31x A100 SXM
VRAM
2.40x
Need 2.40x A100 SXM
Memory Bandwidth
3.92x
Need 3.92x A100 SXM
NVIDIA GeForce GTX 1080
Compute (FP32-eq)
101.43x
Need 101.43x GeForce GTX 1080
FP32 Compute
5.07x
Need 5.07x GeForce GTX 1080
VRAM
24.00x
Need 24.00x GeForce GTX 1080
Memory Bandwidth
25.00x
Need 25.00x GeForce GTX 1080

To match 1x NVIDIA GeForce GTX 1660

Cerebras WSE-3
VRAM
0.14x
WSE-3 has 7.33x more
NVIDIA GeForce RTX 5060 Ti
Compute (FP32-eq)
0.11x
GeForce RTX 5060 Ti is 8.75x faster
FP32 Compute
0.20x
GeForce RTX 5060 Ti is 4.97x faster
VRAM
0.38x
GeForce RTX 5060 Ti has 2.67x more
Memory Bandwidth
0.35x
GeForce RTX 5060 Ti has 2.83x more
NVIDIA B100
Compute (FP32-eq)
0.01x
B100 is 179.03x faster
FP32 Compute
0.11x
B100 is 8.95x faster
VRAM
0.03x
B100 has 32.00x more
Memory Bandwidth
0.02x
B100 has 41.67x more
NVIDIA GeForce RTX 3090
Compute (FP32-eq)
0.14x
GeForce RTX 3090 is 7.06x faster
FP32 Compute
0.14x
GeForce RTX 3090 is 7.08x faster
VRAM
0.25x
GeForce RTX 3090 has 4.00x more
Memory Bandwidth
0.21x
GeForce RTX 3090 has 4.88x more
NVIDIA V100S
Compute (FP32-eq)
0.31x
V100S is 3.26x faster
FP32 Compute
0.31x
V100S is 3.26x faster
VRAM
0.19x
V100S has 5.33x more
Memory Bandwidth
0.17x
V100S has 5.91x more
NVIDIA A100 SXM
Compute (FP32-eq)
0.03x
A100 SXM is 31.03x faster
FP32 Compute
0.26x
A100 SXM is 3.88x faster
VRAM
0.07x
A100 SXM has 13.33x more
Memory Bandwidth
0.09x
A100 SXM has 10.62x more
NVIDIA GeForce GTX 1080
Compute (FP32-eq)
0.57x
GeForce GTX 1080 is 1.77x faster
FP32 Compute
0.57x
GeForce GTX 1080 is 1.77x faster
VRAM
0.75x
GeForce GTX 1080 has 1.33x more
Memory Bandwidth
0.60x
GeForce GTX 1080 has 1.67x more

To match 1x NVIDIA GeForce RTX 3090

Cerebras WSE-3
VRAM
0.55x
WSE-3 has 1.83x more
NVIDIA GeForce RTX 5060 Ti
Compute (FP32-eq)
0.81x
GeForce RTX 5060 Ti is 1.24x faster
FP32 Compute
1.42x
Need 1.42x GeForce RTX 5060 Ti
VRAM
1.50x
Need 1.50x GeForce RTX 5060 Ti
Memory Bandwidth
1.72x
Need 1.72x GeForce RTX 5060 Ti
NVIDIA B100
Compute (FP32-eq)
0.04x
B100 is 25.35x faster
FP32 Compute
0.79x
B100 is 1.26x faster
VRAM
0.13x
B100 has 8.00x more
Memory Bandwidth
0.12x
B100 has 8.55x more
NVIDIA GeForce GTX 1660
Compute (FP32-eq)
7.06x
Need 7.06x GeForce GTX 1660
FP32 Compute
7.08x
Need 7.08x GeForce GTX 1660
VRAM
4.00x
Need 4.00x GeForce GTX 1660
Memory Bandwidth
4.88x
Need 4.88x GeForce GTX 1660
NVIDIA V100S
Compute (FP32-eq)
2.16x
Need 2.16x V100S
FP32 Compute
2.17x
Need 2.17x V100S
VRAM
0.75x
V100S has 1.33x more
Memory Bandwidth
0.83x
V100S has 1.21x more
NVIDIA A100 SXM
Compute (FP32-eq)
0.23x
A100 SXM is 4.39x faster
FP32 Compute
1.83x
Need 1.83x A100 SXM
VRAM
0.30x
A100 SXM has 3.33x more
Memory Bandwidth
0.46x
A100 SXM has 2.18x more
NVIDIA GeForce GTX 1080
Compute (FP32-eq)
4.00x
Need 4.00x GeForce GTX 1080
FP32 Compute
4.01x
Need 4.01x GeForce GTX 1080
VRAM
3.00x
Need 3.00x GeForce GTX 1080
Memory Bandwidth
2.92x
Need 2.92x GeForce GTX 1080

To match 1x NVIDIA V100S

Cerebras WSE-3
VRAM
0.73x
WSE-3 has 1.38x more
NVIDIA GeForce RTX 5060 Ti
Compute (FP32-eq)
0.37x
GeForce RTX 5060 Ti is 2.68x faster
FP32 Compute
0.66x
GeForce RTX 5060 Ti is 1.52x faster
VRAM
2.00x
Need 2.00x GeForce RTX 5060 Ti
Memory Bandwidth
2.08x
Need 2.08x GeForce RTX 5060 Ti
NVIDIA B100
Compute (FP32-eq)
0.02x
B100 is 54.88x faster
FP32 Compute
0.36x
B100 is 2.74x faster
VRAM
0.17x
B100 has 6.00x more
Memory Bandwidth
0.14x
B100 has 7.05x more
NVIDIA GeForce GTX 1660
Compute (FP32-eq)
3.26x
Need 3.26x GeForce GTX 1660
FP32 Compute
3.26x
Need 3.26x GeForce GTX 1660
VRAM
5.33x
Need 5.33x GeForce GTX 1660
Memory Bandwidth
5.91x
Need 5.91x GeForce GTX 1660
NVIDIA GeForce RTX 3090
Compute (FP32-eq)
0.46x
GeForce RTX 3090 is 2.16x faster
FP32 Compute
0.46x
GeForce RTX 3090 is 2.17x faster
VRAM
1.33x
Need 1.33x GeForce RTX 3090
Memory Bandwidth
1.21x
Need 1.21x GeForce RTX 3090
NVIDIA A100 SXM
Compute (FP32-eq)
0.11x
A100 SXM is 9.51x faster
FP32 Compute
0.84x
A100 SXM is 1.19x faster
VRAM
0.40x
A100 SXM has 2.50x more
Memory Bandwidth
0.56x
A100 SXM has 1.80x more
NVIDIA GeForce GTX 1080
Compute (FP32-eq)
1.85x
Need 1.85x GeForce GTX 1080
FP32 Compute
1.85x
Need 1.85x GeForce GTX 1080
VRAM
4.00x
Need 4.00x GeForce GTX 1080
Memory Bandwidth
3.54x
Need 3.54x GeForce GTX 1080

To match 1x NVIDIA A100 SXM

Cerebras WSE-3
VRAM
1.82x
Need 1.82x WSE-3
NVIDIA GeForce RTX 5060 Ti
Compute (FP32-eq)
3.55x
Need 3.55x GeForce RTX 5060 Ti
FP32 Compute
0.78x
GeForce RTX 5060 Ti is 1.28x faster
VRAM
5.00x
Need 5.00x GeForce RTX 5060 Ti
Memory Bandwidth
3.75x
Need 3.75x GeForce RTX 5060 Ti
NVIDIA B100
Compute (FP32-eq)
0.17x
B100 is 5.77x faster
FP32 Compute
0.43x
B100 is 2.31x faster
VRAM
0.42x
B100 has 2.40x more
Memory Bandwidth
0.25x
B100 has 3.92x more
NVIDIA GeForce GTX 1660
Compute (FP32-eq)
31.03x
Need 31.03x GeForce GTX 1660
FP32 Compute
3.88x
Need 3.88x GeForce GTX 1660
VRAM
13.33x
Need 13.33x GeForce GTX 1660
Memory Bandwidth
10.62x
Need 10.62x GeForce GTX 1660
NVIDIA GeForce RTX 3090
Compute (FP32-eq)
4.39x
Need 4.39x GeForce RTX 3090
FP32 Compute
0.55x
GeForce RTX 3090 is 1.83x faster
VRAM
3.33x
Need 3.33x GeForce RTX 3090
Memory Bandwidth
2.18x
Need 2.18x GeForce RTX 3090
NVIDIA V100S
Compute (FP32-eq)
9.51x
Need 9.51x V100S
FP32 Compute
1.19x
Need 1.19x V100S
VRAM
2.50x
Need 2.50x V100S
Memory Bandwidth
1.80x
Need 1.80x V100S
NVIDIA GeForce GTX 1080
Compute (FP32-eq)
17.58x
Need 17.58x GeForce GTX 1080
FP32 Compute
2.20x
Need 2.20x GeForce GTX 1080
VRAM
10.00x
Need 10.00x GeForce GTX 1080
Memory Bandwidth
6.37x
Need 6.37x GeForce GTX 1080

To match 1x NVIDIA GeForce GTX 1080

Cerebras WSE-3
VRAM
0.18x
WSE-3 has 5.50x more
NVIDIA GeForce RTX 5060 Ti
Compute (FP32-eq)
0.20x
GeForce RTX 5060 Ti is 4.96x faster
FP32 Compute
0.35x
GeForce RTX 5060 Ti is 2.82x faster
VRAM
0.50x
GeForce RTX 5060 Ti has 2.00x more
Memory Bandwidth
0.59x
GeForce RTX 5060 Ti has 1.70x more
NVIDIA B100
Compute (FP32-eq)
0.01x
B100 is 101.43x faster
FP32 Compute
0.20x
B100 is 5.07x faster
VRAM
0.04x
B100 has 24.00x more
Memory Bandwidth
0.04x
B100 has 25.00x more
NVIDIA GeForce GTX 1660
Compute (FP32-eq)
1.77x
Need 1.77x GeForce GTX 1660
FP32 Compute
1.77x
Need 1.77x GeForce GTX 1660
VRAM
1.33x
Need 1.33x GeForce GTX 1660
Memory Bandwidth
1.67x
Need 1.67x GeForce GTX 1660
NVIDIA GeForce RTX 3090
Compute (FP32-eq)
0.25x
GeForce RTX 3090 is 4.00x faster
FP32 Compute
0.25x
GeForce RTX 3090 is 4.01x faster
VRAM
0.33x
GeForce RTX 3090 has 3.00x more
Memory Bandwidth
0.34x
GeForce RTX 3090 has 2.92x more
NVIDIA V100S
Compute (FP32-eq)
0.54x
V100S is 1.85x faster
FP32 Compute
0.54x
V100S is 1.85x faster
VRAM
0.25x
V100S has 4.00x more
Memory Bandwidth
0.28x
V100S has 3.54x more
NVIDIA A100 SXM
Compute (FP32-eq)
0.06x
A100 SXM is 17.58x faster
FP32 Compute
0.46x
A100 SXM is 2.20x faster
VRAM
0.10x
A100 SXM has 10.00x more
Memory Bandwidth
0.16x
A100 SXM has 6.37x more

Pricing

Price TypeWSE-3GeForce RTX 5060 TiB100GeForce GTX 1660GeForce RTX 3090V100SA100 SXMGeForce GTX 1080
CAPEX (Street Price)——————$15,000—
OPEX (per hour)—$0.09/hr—$0.04/hr$0.11/hr$0.88/hr$4.05/hr$0.04/hr
Price per TFLOPs (FP32-eq)——————$96—