NVIDIA Tesla V100 DGXS 16 GB vs NVIDIA Quadro K1000M

VS

NVIDIA Tesla V100 DGXS 16 GB

NVIDIA Quadro K1000M

We compared two Professional market GPUs: 16GB VRAM Tesla V100 DGXS 16 GB and 2GB VRAM Quadro K1000M 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 5 years and 9 months late

Boost Clock1530MHz

More VRAM (16GB vs 2GB)

Larger VRAM bandwidth (897.0GB/s vs 28.80GB/s)

4928 additional rendering cores

NVIDIA Quadro K1000M 's Advantages

Lower TDP (45W vs 250W)

Score

Benchmark

FP32 (float)

Tesla V100 DGXS 16 GB +4706%

15.67 TFLOPS

Quadro K1000M

0.326 TFLOPS

Tesla V100 DGXS 16 GB

VS

Quadro K1000M

Graphics Card

Mar 2018

Release Date

Jun 2012

Tesla

Generation

Quadro Mobile

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

MXM-A (3.0)

Clock Speeds

1327 MHz

Base Clock

-

1530 MHz

Boost Clock

-

876 MHz

Memory Clock

900 MHz

Memory

16GB

Memory Size

2GB

HBM2

Memory Type

DDR3

4096bit

Memory Bus

128bit

897.0GB/s

Bandwidth

28.80GB/s

Render Config

-

80

SM Count

-

5120

Shading Units

192

320

TMUs

16

128

ROPs

16

640

Tensor Cores

-

128 KB (per SM)

L1 Cache

16 KB (per SMX)

6 MB

L2 Cache

256 KB

-

Theoretical Performance

195.8 GPixel/s

Pixel Rate

3.400 GPixel/s

489.6 GTexel/s

Texture Rate

13.60 GTexel/s

31.33 TFLOPS

FP16 (half)

-

15.67 TFLOPS

FP32 (float)

326.4 GFLOPS

7.834 TFLOPS

FP64 (double)

13.60 GFLOPS

Board Design

250W

TDP

45W

600 W

Suggested PSU

-

No outputs

Outputs

No outputs

None

Power Connectors

-

Graphics Processor

GV100

GPU Name

GK107

-

GPU Variant

N14P-Q1-A2

Volta

Architecture

Kepler

TSMC

Foundry

TSMC

12 nm

Process Size

28 nm

21.1 billion

Transistors

1.27 billion

815 mm²

Die Size

118 mm²

Graphics Features

12 (12_1)

DirectX

12 (11_0)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.3

Vulkan

1.1

7.0

CUDA

3.0

6.6

Shader Model

5.1

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