NVIDIA Quadro Plex 1000 Model IV vs NVIDIA Tesla V100 DGXS 16 GB

VS

NVIDIA Quadro Plex 1000 Model IV NVIDIA Tesla V100 DGXS 16 GB

We compared two Professional market GPUs: 1536MB VRAM Quadro Plex 1000 Model IV and 16GB VRAM Tesla V100 DGXS 16 GB to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla V100 DGXS 16 GB 's Advantages

Released 9 years and 8 months late

Boost Clock1530MHz

More VRAM (16GB vs 1GB)

Larger VRAM bandwidth (897.0GB/s vs 76.80GB/s)

4992 additional rendering cores

Lower TDP (250W vs 320W)

Score

Benchmark

FP32 (float)

Quadro Plex 1000 Model IV

0.346 TFLOPS

Tesla V100 DGXS 16 GB +4428%

15.67 TFLOPS

Quadro Plex 1000 Model IV

VS

Tesla V100 DGXS 16 GB

Graphics Card

Jul 2008

Release Date

Mar 2018

Quadro Plex

Generation

Tesla

Professional

Type

Professional

PCIe 1.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

-

Base Clock

1327 MHz

-

Boost Clock

1530 MHz

800 MHz

Memory Clock

876 MHz

Memory

1536MB

Memory Size

16GB

GDDR3

Memory Type

HBM2

384bit

Memory Bus

4096bit

76.80GB/s

Bandwidth

897.0GB/s

Render Config

16

SM Count

80

-

Compute Units

-

128

Shading Units

5120

32

TMUs

320

24

ROPs

128

-

Tensor Cores

640

-

RT Cores

-

L1 Cache

128 KB (per SM)

96 KB

L2 Cache

6 MB

Theoretical Performance

14.40 GPixel/s

Pixel Rate

195.8 GPixel/s

38.40 GTexel/s

Texture Rate

489.6 GTexel/s

-

FP16 (half)

31.33 TFLOPS

345.6 GFLOPS

FP32 (float)

15.67 TFLOPS

-

FP64 (double)

7.834 TFLOPS

Graphics Processor

G80

GPU Name

GV100

-

GPU Variant

-

Tesla

Architecture

Volta

TSMC

Foundry

TSMC

90 nm

Process Size

12 nm

0.681 billion

Transistors

21.1 billion

484 mm²

Die Size

815 mm²

Board Design

320W

TDP

250W

700 W

Suggested PSU

600 W

No outputs

Outputs

No outputs

-

Power Connectors

None

Graphics Features

11.1 (10_0)

DirectX

12 (12_1)

3.3

OpenGL

4.6

1.1 (1.0)

OpenCL

3.0

N/A

Vulkan

1.3

1.0

CUDA

7.0

4.0

Shader Model

6.6

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