NVIDIA Tesla K40d vs NVIDIA Quadro RTX 5000 Mobile

VS

NVIDIA Tesla K40d

NVIDIA Quadro RTX 5000 Mobile

We compared two Professional market GPUs: 12GB VRAM Tesla K40d and 16GB VRAM Quadro RTX 5000 Mobile to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Quadro RTX 5000 Mobile 's Advantages

Released 5 years and 6 months late

Boost Clock has increased by 102% (1770MHz vs 876MHz)

More VRAM (16GB vs 12GB)

Larger VRAM bandwidth (448.0GB/s vs 288.4GB/s)

192 additional rendering cores

Lower TDP (110W vs 245W)

Score

Benchmark

FP32 (float)

Tesla K40d

5.046 TFLOPS

Quadro RTX 5000 Mobile +115%

10.87 TFLOPS

Tesla K40d

VS

Quadro RTX 5000 Mobile

Graphics Card

Nov 2013

Release Date

May 2019

Tesla

Generation

Quadro Mobile

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

745 MHz

Base Clock

1365 MHz

876 MHz

Boost Clock

1770 MHz

1502 MHz

Memory Clock

1750 MHz

Memory

12GB

Memory Size

16GB

GDDR5

Memory Type

GDDR6

384bit

Memory Bus

256bit

288.4GB/s

Bandwidth

448.0GB/s

Render Config

-

SM Count

48

2880

Shading Units

3072

240

TMUs

192

48

ROPs

64

-

Tensor Cores

384

-

RT Cores

48

16 KB (per SMX)

L1 Cache

64 KB (per SM)

1536 KB

L2 Cache

4 MB

-

Theoretical Performance

52.56 GPixel/s

Pixel Rate

113.3 GPixel/s

210.2 GTexel/s

Texture Rate

339.8 GTexel/s

-

FP16 (half)

21.75 TFLOPS

5.046 TFLOPS

FP32 (float)

10.87 TFLOPS

1.682 TFLOPS

FP64 (double)

339.8 GFLOPS

Board Design

245W

TDP

110W

550 W

Suggested PSU

-

No outputs

Outputs

No outputs

-

Power Connectors

None

Graphics Processor

GK110B

GPU Name

TU104

-

GPU Variant

N19E-Q5-A1

Kepler

Architecture

Turing

TSMC

Foundry

TSMC

28 nm

Process Size

12 nm

7.08 billion

Transistors

13.6 billion

561 mm²

Die Size

545 mm²

Graphics Features

12 (11_1)

DirectX

12 Ultimate (12_2)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.1

Vulkan

1.3

3.5

CUDA

7.5

5.1

Shader Model

6.6

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