NVIDIA Tesla K8 vs NVIDIA Tesla K20Xm

VS

We compared two Professional market GPUs: 8GB VRAM Tesla K8 and 6GB VRAM Tesla K20Xm to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla K8 's Advantages

Released 1 years and 10 months late

Boost Clock811MHz

More VRAM (8GB vs 6GB)

Lower TDP (100W vs 235W)

NVIDIA Tesla K20Xm 's Advantages

Larger VRAM bandwidth (249.6GB/s vs 160.0GB/s)

1152 additional rendering cores

Score

Benchmark

FP32 (float)

Tesla K8

2.491 TFLOPS

Tesla K20Xm +57%

3.935 TFLOPS

Tesla K8

VS

Tesla K20Xm

Graphics Card

Sep 2014

Release Date

Nov 2012

Tesla

Generation

Tesla

Professional

Type

Professional

PCIe 2.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

693 MHz

Base Clock

-

811 MHz

Boost Clock

-

1250 MHz

Memory Clock

1300 MHz

Memory

8GB

Memory Size

6GB

GDDR5

Memory Type

GDDR5

256bit

Memory Bus

384bit

160.0GB/s

Bandwidth

249.6GB/s

Render Config

-

SM Count

-

Compute Units

-

1536

Shading Units

2688

128

TMUs

224

32

ROPs

48

-

Tensor Cores

-

RT Cores

-

16 KB (per SMX)

L1 Cache

16 KB (per SMX)

512 KB

L2 Cache

1536 KB

Theoretical Performance

25.95 GPixel/s

Pixel Rate

40.99 GPixel/s

103.8 GTexel/s

Texture Rate

164.0 GTexel/s

-

FP16 (half)

-

2.491 TFLOPS

FP32 (float)

3.935 TFLOPS

103.8 GFLOPS

FP64 (double)

1312 GFLOPS

Graphics Processor

GK104

GPU Name

GK110

-

GPU Variant

-

Kepler

Architecture

Kepler

TSMC

Foundry

TSMC

28 nm

Process Size

28 nm

3.54 billion

Transistors

7.08 billion

294 mm²

Die Size

561 mm²

Board Design

100W

TDP

235W

300 W

Suggested PSU

550 W

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

3.5

5.1

Shader Model

5.1

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