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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

SpecificationIntel Habana Gaudi 3Meta MTIA v1AMD MI300XFuriosaAI RNGD (Renegade)NVIDIA A16NVIDIA GeForce GTX 1080 TiNVIDIA GeForce RTX 3090NVIDIA GeForce GTX 1660 Super
ArchitectureGaudi Gen3Meta Training & Inference AcceleratorCDNA 3Tensor Contraction ProcessorAmperePascalAmpereTuring
Form FactorOAM—OAMPCIePCIePCIePCIePCIe
VRAM128 GB128 GB192 GB48 GB64 GB11 GB24 GB6 GB
Memory Bandwidth3,700 GB/s—5,300 GB/s1,500 GB/s232 GB/s484 GB/s936 GB/s336 GB/s
TFLOPs (FP32)——163.4—9.511.3435.65.027
TFLOPs (FP16)——1,307—————
TFLOPs1,835—1,30725671.211.34715.027
TFLOPs (FP8)3,670—2,614512————
TDP900 W400 W750 W180 W250 W250 W350 W125 W
Launch DateApr 2024May 2023Dec 2023Jan 2024Apr 2021Mar 2017Sep 2020Oct 2019

Efficiency Metrics

MetricGaudi 3MTIA v1MI300XRNGD (Renegade)A16GeForce GTX 1080 TiGeForce RTX 3090GeForce GTX 1660 Super
TFLOPs per Watt (FP32-eq)1.02—0.870.710.140.050.100.04
Memory Bandwidth per GB28.9 GB/s—27.6 GB/s31.3 GB/s3.6 GB/s44.0 GB/s39.0 GB/s56.0 GB/s

Performance Equivalence

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

To match 1x Intel Habana Gaudi 3

Meta MTIA v1
VRAM
1.00x
MTIA v1 has 1.00x more
AMD MI300X
Compute (FP32-eq)
1.40x
Need 1.40x MI300X
VRAM
0.67x
MI300X has 1.50x more
Memory Bandwidth
0.70x
MI300X has 1.43x more
FuriosaAI RNGD (Renegade)
Compute (FP32-eq)
7.17x
Need 7.17x RNGD (Renegade)
VRAM
2.67x
Need 2.67x RNGD (Renegade)
Memory Bandwidth
2.47x
Need 2.47x RNGD (Renegade)
NVIDIA A16
Compute (FP32-eq)
25.77x
Need 25.77x A16
VRAM
2.00x
Need 2.00x A16
Memory Bandwidth
15.95x
Need 15.95x A16
NVIDIA GeForce GTX 1080 Ti
Compute (FP32-eq)
80.91x
Need 80.91x GeForce GTX 1080 Ti
VRAM
11.64x
Need 11.64x GeForce GTX 1080 Ti
Memory Bandwidth
7.64x
Need 7.64x GeForce GTX 1080 Ti
NVIDIA GeForce RTX 3090
Compute (FP32-eq)
25.85x
Need 25.85x GeForce RTX 3090
VRAM
5.33x
Need 5.33x GeForce RTX 3090
Memory Bandwidth
3.95x
Need 3.95x GeForce RTX 3090
NVIDIA GeForce GTX 1660 Super
Compute (FP32-eq)
182.51x
Need 182.51x GeForce GTX 1660 Super
VRAM
21.33x
Need 21.33x GeForce GTX 1660 Super
Memory Bandwidth
11.01x
Need 11.01x GeForce GTX 1660 Super

To match 1x Meta MTIA v1

Intel Habana Gaudi 3
VRAM
1.00x
Gaudi 3 has 1.00x more
AMD MI300X
VRAM
0.67x
MI300X has 1.50x more
FuriosaAI RNGD (Renegade)
VRAM
2.67x
Need 2.67x RNGD (Renegade)
NVIDIA A16
VRAM
2.00x
Need 2.00x A16
NVIDIA GeForce GTX 1080 Ti
VRAM
11.64x
Need 11.64x GeForce GTX 1080 Ti
NVIDIA GeForce RTX 3090
VRAM
5.33x
Need 5.33x GeForce RTX 3090
NVIDIA GeForce GTX 1660 Super
VRAM
21.33x
Need 21.33x GeForce GTX 1660 Super

To match 1x AMD MI300X

Intel Habana Gaudi 3
Compute (FP32-eq)
0.71x
Gaudi 3 is 1.40x faster
VRAM
1.50x
Need 1.50x Gaudi 3
Memory Bandwidth
1.43x
Need 1.43x Gaudi 3
Meta MTIA v1
VRAM
1.50x
Need 1.50x MTIA v1
FuriosaAI RNGD (Renegade)
Compute (FP32-eq)
5.11x
Need 5.11x RNGD (Renegade)
VRAM
4.00x
Need 4.00x RNGD (Renegade)
Memory Bandwidth
3.53x
Need 3.53x RNGD (Renegade)
NVIDIA A16
Compute (FP32-eq)
18.36x
Need 18.36x A16
FP32 Compute
17.20x
Need 17.20x A16
VRAM
3.00x
Need 3.00x A16
Memory Bandwidth
22.84x
Need 22.84x A16
NVIDIA GeForce GTX 1080 Ti
Compute (FP32-eq)
57.63x
Need 57.63x GeForce GTX 1080 Ti
FP32 Compute
14.41x
Need 14.41x GeForce GTX 1080 Ti
VRAM
17.45x
Need 17.45x GeForce GTX 1080 Ti
Memory Bandwidth
10.95x
Need 10.95x GeForce GTX 1080 Ti
NVIDIA GeForce RTX 3090
Compute (FP32-eq)
18.41x
Need 18.41x GeForce RTX 3090
FP32 Compute
4.59x
Need 4.59x GeForce RTX 3090
VRAM
8.00x
Need 8.00x GeForce RTX 3090
Memory Bandwidth
5.66x
Need 5.66x GeForce RTX 3090
NVIDIA GeForce GTX 1660 Super
Compute (FP32-eq)
130.00x
Need 130.00x GeForce GTX 1660 Super
FP32 Compute
32.50x
Need 32.50x GeForce GTX 1660 Super
VRAM
32.00x
Need 32.00x GeForce GTX 1660 Super
Memory Bandwidth
15.77x
Need 15.77x GeForce GTX 1660 Super

To match 1x FuriosaAI RNGD (Renegade)

Intel Habana Gaudi 3
Compute (FP32-eq)
0.14x
Gaudi 3 is 7.17x faster
VRAM
0.38x
Gaudi 3 has 2.67x more
Memory Bandwidth
0.41x
Gaudi 3 has 2.47x more
Meta MTIA v1
VRAM
0.38x
MTIA v1 has 2.67x more
AMD MI300X
Compute (FP32-eq)
0.20x
MI300X is 5.11x faster
VRAM
0.25x
MI300X has 4.00x more
Memory Bandwidth
0.28x
MI300X has 3.53x more
NVIDIA A16
Compute (FP32-eq)
3.60x
Need 3.60x A16
VRAM
0.75x
A16 has 1.33x more
Memory Bandwidth
6.47x
Need 6.47x A16
NVIDIA GeForce GTX 1080 Ti
Compute (FP32-eq)
11.29x
Need 11.29x GeForce GTX 1080 Ti
VRAM
4.36x
Need 4.36x GeForce GTX 1080 Ti
Memory Bandwidth
3.10x
Need 3.10x GeForce GTX 1080 Ti
NVIDIA GeForce RTX 3090
Compute (FP32-eq)
3.61x
Need 3.61x GeForce RTX 3090
VRAM
2.00x
Need 2.00x GeForce RTX 3090
Memory Bandwidth
1.60x
Need 1.60x GeForce RTX 3090
NVIDIA GeForce GTX 1660 Super
Compute (FP32-eq)
25.46x
Need 25.46x GeForce GTX 1660 Super
VRAM
8.00x
Need 8.00x GeForce GTX 1660 Super
Memory Bandwidth
4.46x
Need 4.46x GeForce GTX 1660 Super

To match 1x NVIDIA A16

Intel Habana Gaudi 3
Compute (FP32-eq)
0.04x
Gaudi 3 is 25.77x faster
VRAM
0.50x
Gaudi 3 has 2.00x more
Memory Bandwidth
0.06x
Gaudi 3 has 15.95x more
Meta MTIA v1
VRAM
0.50x
MTIA v1 has 2.00x more
AMD MI300X
Compute (FP32-eq)
0.05x
MI300X is 18.36x faster
FP32 Compute
0.06x
MI300X is 17.20x faster
VRAM
0.33x
MI300X has 3.00x more
Memory Bandwidth
0.04x
MI300X has 22.84x more
FuriosaAI RNGD (Renegade)
Compute (FP32-eq)
0.28x
RNGD (Renegade) is 3.60x faster
VRAM
1.33x
Need 1.33x RNGD (Renegade)
Memory Bandwidth
0.15x
RNGD (Renegade) has 6.47x more
NVIDIA GeForce GTX 1080 Ti
Compute (FP32-eq)
3.14x
Need 3.14x GeForce GTX 1080 Ti
FP32 Compute
0.84x
GeForce GTX 1080 Ti is 1.19x faster
VRAM
5.82x
Need 5.82x GeForce GTX 1080 Ti
Memory Bandwidth
0.48x
GeForce GTX 1080 Ti has 2.09x more
NVIDIA GeForce RTX 3090
Compute (FP32-eq)
1.00x
Need 1.00x GeForce RTX 3090
FP32 Compute
0.27x
GeForce RTX 3090 is 3.75x faster
VRAM
2.67x
Need 2.67x GeForce RTX 3090
Memory Bandwidth
0.25x
GeForce RTX 3090 has 4.03x more
NVIDIA GeForce GTX 1660 Super
Compute (FP32-eq)
7.08x
Need 7.08x GeForce GTX 1660 Super
FP32 Compute
1.89x
Need 1.89x GeForce GTX 1660 Super
VRAM
10.67x
Need 10.67x GeForce GTX 1660 Super
Memory Bandwidth
0.69x
GeForce GTX 1660 Super has 1.45x more

To match 1x NVIDIA GeForce GTX 1080 Ti

Intel Habana Gaudi 3
Compute (FP32-eq)
0.01x
Gaudi 3 is 80.91x faster
VRAM
0.09x
Gaudi 3 has 11.64x more
Memory Bandwidth
0.13x
Gaudi 3 has 7.64x more
Meta MTIA v1
VRAM
0.09x
MTIA v1 has 11.64x more
AMD MI300X
Compute (FP32-eq)
0.02x
MI300X is 57.63x faster
FP32 Compute
0.07x
MI300X is 14.41x faster
VRAM
0.06x
MI300X has 17.45x more
Memory Bandwidth
0.09x
MI300X has 10.95x more
FuriosaAI RNGD (Renegade)
Compute (FP32-eq)
0.09x
RNGD (Renegade) is 11.29x faster
VRAM
0.23x
RNGD (Renegade) has 4.36x more
Memory Bandwidth
0.32x
RNGD (Renegade) has 3.10x more
NVIDIA A16
Compute (FP32-eq)
0.32x
A16 is 3.14x faster
FP32 Compute
1.19x
Need 1.19x A16
VRAM
0.17x
A16 has 5.82x more
Memory Bandwidth
2.09x
Need 2.09x A16
NVIDIA GeForce RTX 3090
Compute (FP32-eq)
0.32x
GeForce RTX 3090 is 3.13x faster
FP32 Compute
0.32x
GeForce RTX 3090 is 3.14x faster
VRAM
0.46x
GeForce RTX 3090 has 2.18x more
Memory Bandwidth
0.52x
GeForce RTX 3090 has 1.93x more
NVIDIA GeForce GTX 1660 Super
Compute (FP32-eq)
2.26x
Need 2.26x GeForce GTX 1660 Super
FP32 Compute
2.26x
Need 2.26x GeForce GTX 1660 Super
VRAM
1.83x
Need 1.83x GeForce GTX 1660 Super
Memory Bandwidth
1.44x
Need 1.44x GeForce GTX 1660 Super

To match 1x NVIDIA GeForce RTX 3090

Intel Habana Gaudi 3
Compute (FP32-eq)
0.04x
Gaudi 3 is 25.85x faster
VRAM
0.19x
Gaudi 3 has 5.33x more
Memory Bandwidth
0.25x
Gaudi 3 has 3.95x more
Meta MTIA v1
VRAM
0.19x
MTIA v1 has 5.33x more
AMD MI300X
Compute (FP32-eq)
0.05x
MI300X is 18.41x faster
FP32 Compute
0.22x
MI300X is 4.59x faster
VRAM
0.13x
MI300X has 8.00x more
Memory Bandwidth
0.18x
MI300X has 5.66x more
FuriosaAI RNGD (Renegade)
Compute (FP32-eq)
0.28x
RNGD (Renegade) is 3.61x faster
VRAM
0.50x
RNGD (Renegade) has 2.00x more
Memory Bandwidth
0.62x
RNGD (Renegade) has 1.60x more
NVIDIA A16
Compute (FP32-eq)
1.00x
A16 is 1.00x faster
FP32 Compute
3.75x
Need 3.75x A16
VRAM
0.38x
A16 has 2.67x more
Memory Bandwidth
4.03x
Need 4.03x A16
NVIDIA GeForce GTX 1080 Ti
Compute (FP32-eq)
3.13x
Need 3.13x GeForce GTX 1080 Ti
FP32 Compute
3.14x
Need 3.14x GeForce GTX 1080 Ti
VRAM
2.18x
Need 2.18x GeForce GTX 1080 Ti
Memory Bandwidth
1.93x
Need 1.93x GeForce GTX 1080 Ti
NVIDIA GeForce GTX 1660 Super
Compute (FP32-eq)
7.06x
Need 7.06x GeForce GTX 1660 Super
FP32 Compute
7.08x
Need 7.08x GeForce GTX 1660 Super
VRAM
4.00x
Need 4.00x GeForce GTX 1660 Super
Memory Bandwidth
2.79x
Need 2.79x GeForce GTX 1660 Super

To match 1x NVIDIA GeForce GTX 1660 Super

Intel Habana Gaudi 3
Compute (FP32-eq)
0.01x
Gaudi 3 is 182.51x faster
VRAM
0.05x
Gaudi 3 has 21.33x more
Memory Bandwidth
0.09x
Gaudi 3 has 11.01x more
Meta MTIA v1
VRAM
0.05x
MTIA v1 has 21.33x more
AMD MI300X
Compute (FP32-eq)
0.01x
MI300X is 130.00x faster
FP32 Compute
0.03x
MI300X is 32.50x faster
VRAM
0.03x
MI300X has 32.00x more
Memory Bandwidth
0.06x
MI300X has 15.77x more
FuriosaAI RNGD (Renegade)
Compute (FP32-eq)
0.04x
RNGD (Renegade) is 25.46x faster
VRAM
0.13x
RNGD (Renegade) has 8.00x more
Memory Bandwidth
0.22x
RNGD (Renegade) has 4.46x more
NVIDIA A16
Compute (FP32-eq)
0.14x
A16 is 7.08x faster
FP32 Compute
0.53x
A16 is 1.89x faster
VRAM
0.09x
A16 has 10.67x more
Memory Bandwidth
1.45x
Need 1.45x A16
NVIDIA GeForce GTX 1080 Ti
Compute (FP32-eq)
0.44x
GeForce GTX 1080 Ti is 2.26x faster
FP32 Compute
0.44x
GeForce GTX 1080 Ti is 2.26x faster
VRAM
0.55x
GeForce GTX 1080 Ti has 1.83x more
Memory Bandwidth
0.69x
GeForce GTX 1080 Ti has 1.44x 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
0.36x
GeForce RTX 3090 has 2.79x more

Pricing

Price TypeGaudi 3MTIA v1MI300XRNGD (Renegade)A16GeForce GTX 1080 TiGeForce RTX 3090GeForce GTX 1660 Super
CAPEX (Street Price)$15,000—$35,000—————
OPEX (per hour)$1.20/hr—$10.40/hr—$0.47/hr$0.04/hr$0.11/hr$0.04/hr
Price per TFLOPs (FP32-eq)$16—$54—————