NVIDIA Tesla K8 vs NVIDIA Quadro K500M

VS

We compared two Professional market GPUs: 8GB VRAM Tesla K8 and 1024MB VRAM Quadro K500M 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 3 months late

Boost Clock811MHz

More VRAM (8GB vs 1GB)

Larger VRAM bandwidth (160.0GB/s vs 12.80GB/s)

1344 additional rendering cores

NVIDIA Quadro K500M 's Advantages

Lower TDP (35W vs 100W)

Score

Benchmark

FP32 (float)

Tesla K8 +664%

2.491 TFLOPS

Quadro K500M

0.326 TFLOPS

Tesla K8

VS

Quadro K500M

Graphics Card

Sep 2014

Release Date

Jun 2012

Tesla

Generation

Quadro Mobile

Professional

Type

Professional

PCIe 2.0 x16

Bus Interface

MXM-A (3.0)

Clock Speeds

693 MHz

Base Clock

-

811 MHz

Boost Clock

-

1250 MHz

Memory Clock

800 MHz

Memory

8GB

Memory Size

1024MB

GDDR5

Memory Type

DDR3

256bit

Memory Bus

64bit

160.0GB/s

Bandwidth

12.80GB/s

Render Config

-

SM Count

-

Compute Units

-

1536

Shading Units

192

128

TMUs

16

32

ROPs

8

-

Tensor Cores

-

RT Cores

-

16 KB (per SMX)

L1 Cache

16 KB (per SMX)

512 KB

L2 Cache

128 KB

Theoretical Performance

25.95 GPixel/s

Pixel Rate

3.400 GPixel/s

103.8 GTexel/s

Texture Rate

13.60 GTexel/s

-

FP16 (half)

-

2.491 TFLOPS

FP32 (float)

326.4 GFLOPS

103.8 GFLOPS

FP64 (double)

13.60 GFLOPS

Graphics Processor

GK104

GPU Name

GK107

-

GPU Variant

N14M-Q1

Kepler

Architecture

Kepler

TSMC

Foundry

TSMC

28 nm

Process Size

28 nm

3.54 billion

Transistors

1.27 billion

294 mm²

Die Size

118 mm²

Board Design

100W

TDP

35W

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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