NVIDIA Quadro FX 1600M vs NVIDIA Tesla V100 FHHL

VS

NVIDIA Quadro FX 1600M

NVIDIA Tesla V100 FHHL

We compared two Professional market GPUs: 512MB VRAM Quadro FX 1600M and 16GB VRAM Tesla V100 FHHL to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Quadro FX 1600M 's Advantages

Lower TDP (50W vs 250W)

NVIDIA Tesla V100 FHHL 's Advantages

Released 10 years and 9 months late

Boost Clock1290MHz

More VRAM (16GB vs 512GB)

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

5088 additional rendering cores

Score

Benchmark

FP32 (float)

Quadro FX 1600M

0.08 TFLOPS

Tesla V100 FHHL +16412%

13.21 TFLOPS

Quadro FX 1600M

VS

Tesla V100 FHHL

Graphics Card

Jun 2007

Release Date

Mar 2018

Quadro FX Mobile

Generation

Tesla

Professional

Type

Professional

MXM-HE

Bus Interface

PCIe 3.0 x16

Clock Speeds

-

Base Clock

937 MHz

-

Boost Clock

1290 MHz

800 MHz

Memory Clock

810 MHz

Memory

512MB

Memory Size

16GB

GDDR3

Memory Type

HBM2

128bit

Memory Bus

4096bit

25.60GB/s

Bandwidth

829.4GB/s

Render Config

-

4

SM Count

80

32

Shading Units

5120

16

TMUs

320

8

ROPs

128

-

Tensor Cores

640

-

L1 Cache

128 KB (per SM)

32 KB

L2 Cache

6 MB

-

Theoretical Performance

5.000 GPixel/s

Pixel Rate

165.1 GPixel/s

10.00 GTexel/s

Texture Rate

412.8 GTexel/s

-

FP16 (half)

26.42 TFLOPS

80.00 GFLOPS

FP32 (float)

13.21 TFLOPS

-

FP64 (double)

6.605 TFLOPS

Board Design

50W

TDP

250W

-

Suggested PSU

600 W

No outputs

Outputs

No outputs

-

Power Connectors

1x 8-pin

Graphics Processor

G84

GPU Name

GV100

NB8P-GLM

GPU Variant

-

Tesla

Architecture

Volta

TSMC

Foundry

TSMC

80 nm

Process Size

12 nm

0.289 billion

Transistors

21.1 billion

169 mm²

Die Size

815 mm²

Graphics Features

11.1 (10_0)

DirectX

12 (12_1)

3.3

OpenGL

4.6

1.1

OpenCL

3.0

N/A

Vulkan

1.3

1.1

CUDA

7.0

4.0

Shader Model

6.6

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