NVIDIA Tesla K8 vs NVIDIA Quadro 5000M

VS

We compared two Professional market GPUs: 8GB VRAM Tesla K8 and 1792MB VRAM Quadro 5000M to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla K8 's Advantages

Released 4 years and 2 months late

Boost Clock811MHz

More VRAM (8GB vs 1GB)

Larger VRAM bandwidth (160.0GB/s vs 76.80GB/s)

1216 additional rendering cores

Score

Benchmark

FP32 (float)

Tesla K8 +380%

2.491 TFLOPS

Quadro 5000M

0.518 TFLOPS

Tesla K8

VS

Quadro 5000M

Graphics Card

Sep 2014

Release Date

Jul 2010

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

600 MHz

Memory

8GB

Memory Size

1792MB

GDDR5

Memory Type

GDDR5

256bit

Memory Bus

256bit

160.0GB/s

Bandwidth

76.80GB/s

Render Config

-

SM Count

10

-

Compute Units

-

1536

Shading Units

320

128

TMUs

40

32

ROPs

32

-

Tensor Cores

-

RT Cores

-

16 KB (per SMX)

L1 Cache

64 KB (per SM)

512 KB

L2 Cache

512 KB

Theoretical Performance

25.95 GPixel/s

Pixel Rate

8.100 GPixel/s

103.8 GTexel/s

Texture Rate

16.20 GTexel/s

-

FP16 (half)

-

2.491 TFLOPS

FP32 (float)

518.4 GFLOPS

103.8 GFLOPS

FP64 (double)

-

Graphics Processor

GK104

GPU Name

GF100

-

GPU Variant

N10E-GLM5-A3

Kepler

Architecture

Fermi

TSMC

Foundry

TSMC

28 nm

Process Size

40 nm

3.54 billion

Transistors

3.1 billion

294 mm²

Die Size

529 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

1.1

Vulkan

N/A

3.0

CUDA

2.0

5.1

Shader Model

5.1

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