NVIDIA Tesla K8 vs NVIDIA Quadro K5000M

VS

We compared two Professional market GPUs: 8GB VRAM Tesla K8 and 4GB VRAM Quadro K5000M to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla K8 's Advantages

Released 2 years and 1 months late

Boost Clock811MHz

More VRAM (8GB vs 4GB)

Larger VRAM bandwidth (160.0GB/s vs 96.00GB/s)

192 additional rendering cores

Score

Benchmark

FP32 (float)

Tesla K8 +54%

2.491 TFLOPS

Quadro K5000M

1.615 TFLOPS

Tesla K8

VS

Quadro K5000M

Graphics Card

Sep 2014

Release Date

Aug 2012

Tesla

Generation

Quadro Mobile

Professional

Type

Professional

PCIe 2.0 x16

Bus Interface

MXM-B (3.0)

Clock Speeds

693 MHz

Base Clock

-

811 MHz

Boost Clock

-

1250 MHz

Memory Clock

750 MHz

Memory

8GB

Memory Size

4GB

GDDR5

Memory Type

GDDR5

256bit

Memory Bus

256bit

160.0GB/s

Bandwidth

96.00GB/s

Render Config

-

SM Count

-

Compute Units

-

1536

Shading Units

1344

128

TMUs

112

32

ROPs

32

-

Tensor Cores

-

RT Cores

-

16 KB (per SMX)

L1 Cache

16 KB (per SMX)

512 KB

L2 Cache

512 KB

Theoretical Performance

25.95 GPixel/s

Pixel Rate

16.83 GPixel/s

103.8 GTexel/s

Texture Rate

67.31 GTexel/s

-

FP16 (half)

-

2.491 TFLOPS

FP32 (float)

1.615 TFLOPS

103.8 GFLOPS

FP64 (double)

67.31 GFLOPS

Graphics Processor

GK104

GPU Name

GK104

-

GPU Variant

N14E-Q5-A2

Kepler

Architecture

Kepler

TSMC

Foundry

TSMC

28 nm

Process Size

28 nm

3.54 billion

Transistors

3.54 billion

294 mm²

Die Size

294 mm²

Board Design

100W

TDP

100W

300 W

Suggested PSU

-

No outputs

Outputs

No outputs

1x 6-pin

Power Connectors

-

Graphics Features

12 (11_0)

DirectX

12 (11_0)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.1

Vulkan

1.1

3.0

CUDA

3.0

5.1

Shader Model

5.1

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