NVIDIA Tesla PG500 216 vs NVIDIA GRID K160Q

VS

NVIDIA Tesla PG500 216

NVIDIA GRID K160Q

We compared two Professional market GPUs: 32GB VRAM Tesla PG500 216 and 1024MB VRAM GRID K160Q to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla PG500 216 's Advantages

Released 6 years and 5 months late

Boost Clock1380MHz

More VRAM (32GB vs 1024GB)

Larger VRAM bandwidth (1133GB/s vs 28.51GB/s)

4928 additional rendering cores

NVIDIA GRID K160Q 's Advantages

Lower TDP (130W vs 250W)

Score

Benchmark

FP32 (float)

Tesla PG500 216 +4234%

14.13 TFLOPS

GRID K160Q

0.326 TFLOPS

Tesla PG500 216

VS

GRID K160Q

Graphics Card

Nov 2019

Release Date

Jun 2013

Tesla

Generation

GRID

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

1260 MHz

Base Clock

-

1380 MHz

Boost Clock

-

1106 MHz

Memory Clock

891 MHz

Memory

32GB

Memory Size

1024MB

HBM2

Memory Type

DDR3

4096bit

Memory Bus

128bit

1133GB/s

Bandwidth

28.51GB/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

176.6 GPixel/s

Pixel Rate

3.400 GPixel/s

441.6 GTexel/s

Texture Rate

13.60 GTexel/s

28.26 TFLOPS

FP16 (half)

-

14.13 TFLOPS

FP32 (float)

326.4 GFLOPS

7.066 TFLOPS

FP64 (double)

13.60 GFLOPS

Board Design

250W

TDP

130W

600 W

Suggested PSU

300 W

No outputs

Outputs

No outputs

None

Power Connectors

-

Graphics Processor

GV100

GPU Name

GK107

-

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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