NVIDIA Tesla M4 vs NVIDIA GRID K160Q

VS

NVIDIA Tesla M4 NVIDIA GRID K160Q

We compared two Professional market GPUs: 4GB VRAM Tesla M4 and 1024MB VRAM GRID K160Q to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla M4 's Advantages

Released 2 years and 5 months late

Boost Clock1072MHz

More VRAM (4GB vs 1GB)

Larger VRAM bandwidth (88.00GB/s vs 28.51GB/s)

832 additional rendering cores

Lower TDP (50W vs 130W)

Score

Benchmark

FP32 (float)

Tesla M4 +573%

2.195 TFLOPS

GRID K160Q

0.326 TFLOPS

Tesla M4

VS

GRID K160Q

Graphics Card

Nov 2015

Release Date

Jun 2013

Tesla

Generation

GRID

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

872 MHz

Base Clock

-

1072 MHz

Boost Clock

-

1375 MHz

Memory Clock

891 MHz

Memory

4GB

Memory Size

1024MB

GDDR5

Memory Type

DDR3

128bit

Memory Bus

128bit

88.00GB/s

Bandwidth

28.51GB/s

Render Config

-

SM Count

-

Compute Units

-

1024

Shading Units

192

64

TMUs

16

32

ROPs

16

-

Tensor Cores

-

RT Cores

-

48 KB (per SMM)

L1 Cache

16 KB (per SMX)

1024 KB

L2 Cache

256 KB

Theoretical Performance

34.30 GPixel/s

Pixel Rate

3.400 GPixel/s

68.61 GTexel/s

Texture Rate

13.60 GTexel/s

-

FP16 (half)

-

2.195 TFLOPS

FP32 (float)

326.4 GFLOPS

68.61 GFLOPS

FP64 (double)

13.60 GFLOPS

Graphics Processor

GM206

GPU Name

GK107

-

GPU Variant

-

Maxwell 2.0

Architecture

Kepler

TSMC

Foundry

TSMC

28 nm

Process Size

28 nm

2.94 billion

Transistors

1.27 billion

228 mm²

Die Size

118 mm²

Board Design

50W

TDP

130W

250 W

Suggested PSU

300 W

No outputs

Outputs

No outputs

-

Power Connectors

-

Graphics Features

12 (12_1)

DirectX

12 (11_0)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.3

Vulkan

1.1

5.2

CUDA

3.0

6.4

Shader Model

5.1

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