NVIDIA Quadro RTX 6000 Mobile vs NVIDIA Tesla K40d

VS

NVIDIA Quadro RTX 6000 Mobile NVIDIA Tesla K40d

We compared two Professional market GPUs: 24GB VRAM Quadro RTX 6000 Mobile and 12GB VRAM Tesla K40d to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Quadro RTX 6000 Mobile 's Advantages

Released 5 years and 10 months late

Boost Clock has increased by 66% (1455MHz vs 876MHz)

More VRAM (24GB vs 12GB)

Larger VRAM bandwidth (672.0GB/s vs 288.4GB/s)

1728 additional rendering cores

Score

Benchmark

FP32 (float)

Quadro RTX 6000 Mobile +165%

13.41 TFLOPS

Tesla K40d

5.046 TFLOPS

Quadro RTX 6000 Mobile

VS

Tesla K40d

Graphics Card

Sep 2019

Release Date

Nov 2013

Quadro Turing-M

Generation

Tesla

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

1275 MHz

Base Clock

745 MHz

1455 MHz

Boost Clock

876 MHz

1750 MHz

Memory Clock

1502 MHz

Memory

24GB

Memory Size

12GB

GDDR6

Memory Type

GDDR5

384bit

Memory Bus

384bit

672.0GB/s

Bandwidth

288.4GB/s

Render Config

72

SM Count

-

Compute Units

-

4608

Shading Units

2880

288

TMUs

240

96

ROPs

48

576

Tensor Cores

-

72

RT Cores

-

64 KB (per SM)

L1 Cache

16 KB (per SMX)

6 MB

L2 Cache

1536 KB

Theoretical Performance

139.7 GPixel/s

Pixel Rate

52.56 GPixel/s

419.0 GTexel/s

Texture Rate

210.2 GTexel/s

26.82 TFLOPS

FP16 (half)

-

13.41 TFLOPS

FP32 (float)

5.046 TFLOPS

419.0 GFLOPS

FP64 (double)

1.682 TFLOPS

Graphics Processor

TU102

GPU Name

GK110B

-

GPU Variant

-

Turing

Architecture

Kepler

TSMC

Foundry

TSMC

12 nm

Process Size

28 nm

18.6 billion

Transistors

7.08 billion

754 mm²

Die Size

561 mm²

Board Design

Unknown

TDP

245W

-

Suggested PSU

550 W

Portable Device Dependent

Outputs

No outputs

None

Power Connectors

-

Graphics Features

12 Ultimate (12_2)

DirectX

12 (11_1)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.3

Vulkan

1.1

7.5

CUDA

3.5

6.7

Shader Model

5.1

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