NVIDIA Tesla K40st vs NVIDIA Quadro 5010M

VS

We compared two Professional market GPUs: 12GB VRAM Tesla K40st and 4GB VRAM Quadro 5010M to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla K40st 's Advantages

Released 2 years and 9 months late

More VRAM (12GB vs 4GB)

Larger VRAM bandwidth (288.4GB/s vs 83.20GB/s)

2496 additional rendering cores

NVIDIA Quadro 5010M 's Advantages

Lower TDP (100W vs 245W)

Score

Benchmark

FP32 (float)

Tesla K40st +379%

3.312 TFLOPS

Quadro 5010M

0.691 TFLOPS

Tesla K40st

VS

Quadro 5010M

Graphics Card

Nov 2013

Release Date

Feb 2011

Tesla

Generation

Quadro Mobile

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

MXM-B (3.0)

Clock Speeds

-

Base Clock

-

Boost Clock

-

1502 MHz

Memory Clock

650 MHz

Memory

12GB

Memory Size

4GB

GDDR5

Memory Type

GDDR5

384bit

Memory Bus

256bit

288.4GB/s

Bandwidth

83.20GB/s

Render Config

-

SM Count

12

-

Compute Units

-

2880

Shading Units

384

240

TMUs

48

ROPs

32

-

Tensor Cores

-

RT Cores

-

16 KB (per SMX)

L1 Cache

64 KB (per SM)

1536 KB

L2 Cache

512 KB

Theoretical Performance

34.50 GPixel/s

Pixel Rate

10.80 GPixel/s

138.0 GTexel/s

Texture Rate

21.60 GTexel/s

-

FP16 (half)

-

3.312 TFLOPS

FP32 (float)

691.2 GFLOPS

1104 GFLOPS

FP64 (double)

-

Graphics Processor

GK110B

GPU Name

GF110

-

GPU Variant

N12E-Q5

Kepler

Architecture

Fermi 2.0

TSMC

Foundry

TSMC

28 nm

Process Size

40 nm

7.08 billion

Transistors

3 billion

561 mm²

Die Size

520 mm²

Board Design

245W

TDP

100W

550 W

Suggested PSU

-

No outputs

Outputs

No outputs

-

Power Connectors

-

Graphics Features

12 (11_1)

DirectX

12 (11_0)

4.6

OpenGL

4.6

3.0

OpenCL

1.1

Vulkan

N/A

3.5

CUDA

2.0

5.1

Shader Model

5.1

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