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Showing 128 XPUs • 5 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

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

Specification	Enflame Technology CloudBlazer T20	NVIDIA T4G	NVIDIA Quadro P6000	NVIDIA A100 SXM	NVIDIA GeForce GTX 1080
Architecture	GCU (AI Graphics Unit)	Turing	Pascal	Ampere	Pascal
Form Factor	—	PCIe	PCIe	SXM	PCIe
VRAM	32 GB	16 GB	24 GB	80 GB	8 GB
Memory Bandwidth	—	320 GB/s	432 GB/s	2,039 GB/s	320 GB/s
TFLOPs (FP32)	—	8.1	12.63	19.5	8.873
TFLOPs (FP16)	—	—	—	312	—
TFLOPs	—	65	12.63	312	8.873
TFLOPs (FP8)	—	—	—	—	—
TDP	250 W	70 W	250 W	400 W	180 W
Launch Date	Nov 2021	May 2020	Oct 2016	May 2020	May 2016

Efficiency Metrics

Metric	CloudBlazer T20	T4G	Quadro P6000	A100 SXM	GeForce GTX 1080
TFLOPs per Watt (FP32-eq)	—	0.46	0.05	0.39	0.05
Memory Bandwidth per GB	—	20.0 GB/s	18.0 GB/s	25.5 GB/s	40.0 GB/s

Performance Equivalence

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

To match 1x Enflame Technology CloudBlazer T20

NVIDIA T4G

VRAM

2.00x

Need 2.00x T4G

NVIDIA Quadro P6000

VRAM

1.33x

Need 1.33x Quadro P6000

NVIDIA A100 SXM

VRAM

0.40x

A100 SXM has 2.50x more

NVIDIA GeForce GTX 1080

VRAM

4.00x

Need 4.00x GeForce GTX 1080

To match 1x NVIDIA T4G

Enflame Technology CloudBlazer T20

VRAM

0.50x

CloudBlazer T20 has 2.00x more

NVIDIA Quadro P6000

Compute (FP32-eq)

2.57x

Need 2.57x Quadro P6000

FP32 Compute

0.64x

Quadro P6000 is 1.56x faster

VRAM

0.67x

Quadro P6000 has 1.50x more

Memory Bandwidth

0.74x

Quadro P6000 has 1.35x more

NVIDIA A100 SXM

Compute (FP32-eq)

0.21x

A100 SXM is 4.80x faster

FP32 Compute

0.42x

A100 SXM is 2.41x faster

VRAM

0.20x

A100 SXM has 5.00x more

Memory Bandwidth

0.16x

A100 SXM has 6.37x more

NVIDIA GeForce GTX 1080

Compute (FP32-eq)

3.66x

Need 3.66x GeForce GTX 1080

FP32 Compute

0.91x

GeForce GTX 1080 is 1.10x faster

VRAM

2.00x

Need 2.00x GeForce GTX 1080

Memory Bandwidth

1.00x

GeForce GTX 1080 has 1.00x more

To match 1x NVIDIA Quadro P6000

Enflame Technology CloudBlazer T20

VRAM

0.75x

CloudBlazer T20 has 1.33x more

NVIDIA T4G

Compute (FP32-eq)

0.39x

T4G is 2.57x faster

FP32 Compute

1.56x

Need 1.56x T4G

VRAM

1.50x

Need 1.50x T4G

Memory Bandwidth

1.35x

Need 1.35x T4G

NVIDIA A100 SXM

Compute (FP32-eq)

0.08x

A100 SXM is 12.35x faster

FP32 Compute

0.65x

A100 SXM is 1.54x faster

VRAM

0.30x

A100 SXM has 3.33x more

Memory Bandwidth

0.21x

A100 SXM has 4.72x more

NVIDIA GeForce GTX 1080

Compute (FP32-eq)

1.42x

Need 1.42x GeForce GTX 1080

FP32 Compute

1.42x

Need 1.42x GeForce GTX 1080

VRAM

3.00x

Need 3.00x GeForce GTX 1080

Memory Bandwidth

1.35x

Need 1.35x GeForce GTX 1080

To match 1x NVIDIA A100 SXM

Enflame Technology CloudBlazer T20

VRAM

2.50x

Need 2.50x CloudBlazer T20

NVIDIA T4G

Compute (FP32-eq)

4.80x

Need 4.80x T4G

FP32 Compute

2.41x

Need 2.41x T4G

VRAM

5.00x

Need 5.00x T4G

Memory Bandwidth

6.37x

Need 6.37x T4G

NVIDIA Quadro P6000

Compute (FP32-eq)

12.35x

Need 12.35x Quadro P6000

FP32 Compute

1.54x

Need 1.54x Quadro P6000

VRAM

3.33x

Need 3.33x Quadro P6000

Memory Bandwidth

4.72x

Need 4.72x Quadro P6000

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

Enflame Technology CloudBlazer T20

VRAM

0.25x

CloudBlazer T20 has 4.00x more

NVIDIA T4G

Compute (FP32-eq)

0.27x

T4G is 3.66x faster

FP32 Compute

1.10x

Need 1.10x T4G

VRAM

0.50x

T4G has 2.00x more

Memory Bandwidth

1.00x

T4G has 1.00x more

NVIDIA Quadro P6000

Compute (FP32-eq)

0.70x

Quadro P6000 is 1.42x faster

FP32 Compute

0.70x

Quadro P6000 is 1.42x faster

VRAM

0.33x

Quadro P6000 has 3.00x more

Memory Bandwidth

0.74x

Quadro P6000 has 1.35x 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 Type	CloudBlazer T20	T4G	Quadro P6000	A100 SXM	GeForce GTX 1080
CAPEX (Street Price)	—	—	—	$15,000	—
OPEX (per hour)	—	$0.42/hr	$1.10/hr	$4.05/hr	$0.04/hr
Price per TFLOPs (FP32-eq)	—	—	—	$96	—