NVIDIA Tesla V100 FHHL vs NVIDIA Quadro FX 1700M

VS

NVIDIA Tesla V100 FHHL

NVIDIA Quadro FX 1700M

We compared two Professional market GPUs: 16GB VRAM Tesla V100 FHHL and 512MB VRAM Quadro FX 1700M 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 5 months late

Boost Clock1290MHz

More VRAM (16GB vs 512GB)

Larger VRAM bandwidth (829.4GB/s vs 25.60GB/s)

5088 additional rendering cores

NVIDIA Quadro FX 1700M 's Advantages

Lower TDP (50W vs 250W)

Score

Benchmark

FP32 (float)

Tesla V100 FHHL +13243%

13.21 TFLOPS

Quadro FX 1700M

0.099 TFLOPS

Tesla V100 FHHL

VS

Quadro FX 1700M

Graphics Card

Mar 2018

Release Date

Oct 2008

Tesla

Generation

Quadro FX Mobile

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

MXM-II

Clock Speeds

937 MHz

Base Clock

-

1290 MHz

Boost Clock

-

810 MHz

Memory Clock

800 MHz

Memory

16GB

Memory Size

512MB

HBM2

Memory Type

GDDR3

4096bit

Memory Bus

128bit

829.4GB/s

Bandwidth

25.60GB/s

Render Config

-

80

SM Count

4

5120

Shading Units

32

320

TMUs

16

128

ROPs

8

640

Tensor Cores

-

128 KB (per SM)

L1 Cache

-

6 MB

L2 Cache

32 KB

-

Theoretical Performance

165.1 GPixel/s

Pixel Rate

5.000 GPixel/s

412.8 GTexel/s

Texture Rate

10.00 GTexel/s

26.42 TFLOPS

FP16 (half)

-

13.21 TFLOPS

FP32 (float)

99.20 GFLOPS

6.605 TFLOPS

FP64 (double)

-

Board Design

250W

TDP

50W

600 W

Suggested PSU

-

No outputs

Outputs

No outputs

1x 8-pin

Power Connectors

-

Graphics Processor

GV100

GPU Name

G96

-

GPU Variant

NB9P-GLM

Volta

Architecture

Tesla

TSMC

Foundry

UMC

12 nm

Process Size

65 nm

21.1 billion

Transistors

0.314 billion

815 mm²

Die Size

144 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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