NVIDIA Tesla V100 FHHL vs NVIDIA Quadro FX 3700M

VS

NVIDIA Tesla V100 FHHL

NVIDIA Quadro FX 3700M

We compared two Professional market GPUs: 16GB VRAM Tesla V100 FHHL and 1024MB VRAM Quadro FX 3700M to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla V100 FHHL 's Advantages

Released 9 years and 7 months late

Boost Clock1290MHz

More VRAM (16GB vs 1024GB)

Larger VRAM bandwidth (829.4GB/s vs 51.20GB/s)

4992 additional rendering cores

NVIDIA Quadro FX 3700M 's Advantages

Lower TDP (75W vs 250W)

Score

Benchmark

FP32 (float)

Tesla V100 FHHL +3652%

13.21 TFLOPS

Quadro FX 3700M

0.352 TFLOPS

Tesla V100 FHHL

VS

Quadro FX 3700M

Graphics Card

Mar 2018

Release Date

Aug 2008

Tesla

Generation

Quadro FX Mobile

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

MXM-HE

Clock Speeds

937 MHz

Base Clock

-

1290 MHz

Boost Clock

-

810 MHz

Memory Clock

800 MHz

Memory

16GB

Memory Size

1024MB

HBM2

Memory Type

GDDR3

4096bit

Memory Bus

256bit

829.4GB/s

Bandwidth

51.20GB/s

Render Config

-

80

SM Count

16

5120

Shading Units

128

320

TMUs

64

128

ROPs

16

640

Tensor Cores

-

128 KB (per SM)

L1 Cache

-

6 MB

L2 Cache

64 KB

-

Theoretical Performance

165.1 GPixel/s

Pixel Rate

8.800 GPixel/s

412.8 GTexel/s

Texture Rate

35.20 GTexel/s

26.42 TFLOPS

FP16 (half)

-

13.21 TFLOPS

FP32 (float)

352.0 GFLOPS

6.605 TFLOPS

FP64 (double)

-

Board Design

250W

TDP

75W

600 W

Suggested PSU

-

No outputs

Outputs

No outputs

1x 8-pin

Power Connectors

-

Graphics Processor

GV100

GPU Name

G92

-

GPU Variant

NB9E-GLM3

Volta

Architecture

Tesla

TSMC

Foundry

TSMC

12 nm

Process Size

65 nm

21.1 billion

Transistors

0.754 billion

815 mm²

Die Size

324 mm²

Graphics Features

12 (12_1)

DirectX

11.1 (10_0)

4.6

OpenGL

3.3

3.0

OpenCL

1.1

1.3

Vulkan

N/A

7.0

CUDA

1.1

6.6

Shader Model

4.0

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