NVIDIA Quadro RTX 4000 Mobile vs NVIDIA Tesla K8

VS

NVIDIA Quadro RTX 4000 Mobile

NVIDIA Tesla K8

We compared two Professional market GPUs: 8GB VRAM Quadro RTX 4000 Mobile and 8GB VRAM Tesla K8 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Quadro RTX 4000 Mobile 's Advantages

Released 4 years and 8 months late

Boost Clock has increased by 92% (1560MHz vs 811MHz)

Larger VRAM bandwidth (448.0GB/s vs 160.0GB/s)

1024 additional rendering cores

NVIDIA Tesla K8 's Advantages

Lower TDP (100W vs 110W)

Score

Benchmark

FP32 (float)

Quadro RTX 4000 Mobile +220%

7.987 TFLOPS

Tesla K8

2.491 TFLOPS

Quadro RTX 4000 Mobile

VS

Tesla K8

Graphics Card

May 2019

Release Date

Sep 2014

Quadro Mobile

Generation

Tesla

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 2.0 x16

Clock Speeds

1110 MHz

Base Clock

693 MHz

1560 MHz

Boost Clock

811 MHz

1750 MHz

Memory Clock

1250 MHz

Memory

8GB

Memory Size

8GB

GDDR6

Memory Type

GDDR5

256bit

Memory Bus

256bit

448.0GB/s

Bandwidth

160.0GB/s

Render Config

-

40

SM Count

-

2560

Shading Units

1536

160

TMUs

128

64

ROPs

32

320

Tensor Cores

-

40

RT Cores

-

64 KB (per SM)

L1 Cache

16 KB (per SMX)

4 MB

L2 Cache

512 KB

-

Theoretical Performance

99.84 GPixel/s

Pixel Rate

25.95 GPixel/s

249.6 GTexel/s

Texture Rate

103.8 GTexel/s

15.97 TFLOPS

FP16 (half)

-

7.987 TFLOPS

FP32 (float)

2.491 TFLOPS

249.6 GFLOPS

FP64 (double)

103.8 GFLOPS

Board Design

110W

TDP

100W

-

Suggested PSU

300 W

No outputs

Outputs

No outputs

None

Power Connectors

1x 6-pin

Graphics Processor

TU104

GPU Name

GK104

N19E-Q3-A1

GPU Variant

-

Turing

Architecture

Kepler

TSMC

Foundry

TSMC

12 nm

Process Size

28 nm

13.6 billion

Transistors

3.54 billion

545 mm²

Die Size

294 mm²

Graphics Features

12 Ultimate (12_2)

DirectX

12 (11_0)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.3

Vulkan

1.1

7.5

CUDA

3.0

6.6

Shader Model

5.1

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