NVIDIA GRID K240Q vs NVIDIA Tesla K20Xm

VS

We compared two Professional market GPUs: 1024MB VRAM GRID K240Q and 6GB VRAM Tesla K20Xm to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA GRID K240Q 's Advantages

Released 7 months late

Lower TDP (225W vs 235W)

NVIDIA Tesla K20Xm 's Advantages

More VRAM (6GB vs 1GB)

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

1152 additional rendering cores

Score

Benchmark

FP32 (float)

GRID K240Q

2.289 TFLOPS

Tesla K20Xm +71%

3.935 TFLOPS

GRID K240Q

VS

Tesla K20Xm

Graphics Card

Jun 2013

Release Date

Nov 2012

GRID

Generation

Tesla

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

-

Base Clock

-

Boost Clock

-

1250 MHz

Memory Clock

1300 MHz

Memory

1024MB

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

23.84 GPixel/s

Pixel Rate

40.99 GPixel/s

95.36 GTexel/s

Texture Rate

164.0 GTexel/s

-

FP16 (half)

-

2.289 TFLOPS

FP32 (float)

3.935 TFLOPS

95.36 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

225W

TDP

235W

550 W

Suggested PSU

550 W

No outputs

Outputs

No outputs

-

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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