NVIDIA Tesla K20m vs NVIDIA GRID K340

VS

We compared two Professional market GPUs: 5GB VRAM Tesla K20m and 1024MB VRAM GRID K340 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla K20m 's Advantages

More VRAM (5GB vs 1GB)

Larger VRAM bandwidth (208.0GB/s vs 80.00GB/s)

2112 additional rendering cores

NVIDIA GRID K340 's Advantages

Released 6 months late

Score

Benchmark

FP32 (float)

Tesla K20m +380%

3.524 TFLOPS

GRID K340

0.733 TFLOPS

Tesla K20m

VS

GRID K340

Graphics Card

Jan 2013

Release Date

Jul 2013

Tesla

Generation

GRID

Professional

Type

Professional

PCIe 2.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

-

Base Clock

-

Boost Clock

-

1300 MHz

Memory Clock

1250 MHz

Memory

5GB

Memory Size

1024MB

GDDR5

Memory Type

GDDR5

320bit

Memory Bus

128bit

208.0GB/s

Bandwidth

80.00GB/s

Render Config

-

SM Count

-

Compute Units

-

2496

Shading Units

384

208

TMUs

32

40

ROPs

16

-

Tensor Cores

-

RT Cores

-

16 KB (per SMX)

L1 Cache

16 KB (per SMX)

1280 KB

L2 Cache

128 KB

Theoretical Performance

36.71 GPixel/s

Pixel Rate

7.632 GPixel/s

146.8 GTexel/s

Texture Rate

30.53 GTexel/s

-

FP16 (half)

-

3.524 TFLOPS

FP32 (float)

732.7 GFLOPS

1175 GFLOPS

FP64 (double)

30.53 GFLOPS

Graphics Processor

GK110

GPU Name

GK107

-

GPU Variant

-

Kepler

Architecture

Kepler

TSMC

Foundry

TSMC

28 nm

Process Size

28 nm

7.08 billion

Transistors

1.27 billion

561 mm²

Die Size

118 mm²

Board Design

225W

TDP

225W

550 W

Suggested PSU

550 W

No outputs

Outputs

No outputs

1x 6-pin + 1x 8-pin

Power Connectors

1x 8-pin

Graphics Features

12 (11_0)

DirectX

12 (11_0)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.1

Vulkan

1.1

3.5

CUDA

3.0

5.1

Shader Model

5.1

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