NVIDIA Quadro K100M vs NVIDIA Tesla PG500 216

VS

NVIDIA Quadro K100M

NVIDIA Tesla PG500 216

We compared two Professional market GPUs: 1024MB VRAM Quadro K100M and 32GB VRAM Tesla PG500 216 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Quadro K100M 's Advantages

Lower TDP (35W vs 250W)

NVIDIA Tesla PG500 216 's Advantages

Released 5 years and 3 months late

Boost Clock1380MHz

More VRAM (32GB vs 1024GB)

Larger VRAM bandwidth (1133GB/s vs 12.80GB/s)

4928 additional rendering cores

Score

Benchmark

FP32 (float)

Quadro K100M

0.326 TFLOPS

Tesla PG500 216 +4234%

14.13 TFLOPS

Quadro K100M

VS

Tesla PG500 216

Graphics Card

Aug 2014

Release Date

Nov 2019

Quadro Mobile

Generation

Tesla

Professional

Type

Professional

MXM-A (3.0)

Bus Interface

PCIe 3.0 x16

Clock Speeds

-

Base Clock

1260 MHz

-

Boost Clock

1380 MHz

800 MHz

Memory Clock

1106 MHz

Memory

1024MB

Memory Size

32GB

DDR3

Memory Type

HBM2

64bit

Memory Bus

4096bit

12.80GB/s

Bandwidth

1133GB/s

Render Config

-

SM Count

80

192

Shading Units

5120

16

TMUs

320

8

ROPs

128

-

Tensor Cores

640

-

16 KB (per SMX)

L1 Cache

128 KB (per SM)

128 KB

L2 Cache

6 MB

-

Theoretical Performance

3.400 GPixel/s

Pixel Rate

176.6 GPixel/s

13.60 GTexel/s

Texture Rate

441.6 GTexel/s

-

FP16 (half)

28.26 TFLOPS

326.4 GFLOPS

FP32 (float)

14.13 TFLOPS

13.60 GFLOPS

FP64 (double)

7.066 TFLOPS

Board Design

35W

TDP

250W

-

Suggested PSU

600 W

No outputs

Outputs

No outputs

-

Power Connectors

None

Graphics Processor

GK107

GPU Name

GV100

N14M-Q1

GPU Variant

-

Kepler

Architecture

Volta

TSMC

Foundry

TSMC

28 nm

Process Size

12 nm

1.27 billion

Transistors

21.1 billion

118 mm²

Die Size

815 mm²

Graphics Features

12 (11_0)

DirectX

12 (12_1)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.1

Vulkan

1.3

3.0

CUDA

7.0

5.1

Shader Model

6.6

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