NVIDIA GRID K220Q vs NVIDIA Tesla K40st

VS

We compared two Professional market GPUs: 512MB VRAM GRID K220Q and 12GB VRAM Tesla K40st to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA GRID K220Q 's Advantages

Released 8 months late

Lower TDP (225W vs 245W)

NVIDIA Tesla K40st 's Advantages

Larger VRAM bandwidth (288.4GB/s vs 160.0GB/s)

1344 additional rendering cores

Score

Benchmark

FP32 (float)

GRID K220Q

2.289 TFLOPS

Tesla K40st +44%

3.312 TFLOPS

GRID K220Q

VS

Tesla K40st

Graphics Card

Jul 2014

Release Date

Nov 2013

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

1502 MHz

Memory

512MB

Memory Size

12GB

GDDR5

Memory Type

GDDR5

256bit

Memory Bus

384bit

160.0GB/s

Bandwidth

288.4GB/s

Render Config

-

SM Count

-

Compute Units

-

1536

Shading Units

2880

128

TMUs

240

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

34.50 GPixel/s

95.36 GTexel/s

Texture Rate

138.0 GTexel/s

-

FP16 (half)

-

2.289 TFLOPS

FP32 (float)

3.312 TFLOPS

95.36 GFLOPS

FP64 (double)

1104 GFLOPS

Graphics Processor

GK104

GPU Name

GK110B

-

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

245W

550 W

Suggested PSU

550 W

No outputs

Outputs

No outputs

-

Power Connectors

-

Graphics Features

12 (11_0)

DirectX

12 (11_1)

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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