NVIDIA Tesla K40st vs NVIDIA Quadro RTX 6000 Passive

VS

NVIDIA Tesla K40st

NVIDIA Quadro RTX 6000 Passive

We compared two Professional market GPUs: 12GB VRAM Tesla K40st and 24GB VRAM Quadro RTX 6000 Passive to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla K40st 's Advantages

Lower TDP (245W vs 260W)

NVIDIA Quadro RTX 6000 Passive 's Advantages

Released 4 years and 9 months late

Boost Clock1560MHz

More VRAM (24GB vs 12GB)

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

1728 additional rendering cores

Score

Benchmark

FP32 (float)

Tesla K40st

3.312 TFLOPS

Quadro RTX 6000 Passive +334%

14.38 TFLOPS

Tesla K40st

VS

Quadro RTX 6000 Passive

Graphics Card

Nov 2013

Release Date

Aug 2018

Tesla

Generation

Quadro

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

-

Base Clock

1305 MHz

-

Boost Clock

1560 MHz

1502 MHz

Memory Clock

1750 MHz

Memory

12GB

Memory Size

24GB

GDDR5

Memory Type

GDDR6

384bit

Memory Bus

384bit

288.4GB/s

Bandwidth

672.0GB/s

Render Config

-

SM Count

72

2880

Shading Units

4608

240

TMUs

288

48

ROPs

96

-

Tensor Cores

576

-

RT Cores

72

16 KB (per SMX)

L1 Cache

64 KB (per SM)

1536 KB

L2 Cache

6 MB

-

Theoretical Performance

34.50 GPixel/s

Pixel Rate

149.8 GPixel/s

138.0 GTexel/s

Texture Rate

449.3 GTexel/s

-

FP16 (half)

28.75 TFLOPS

3.312 TFLOPS

FP32 (float)

14.38 TFLOPS

1104 GFLOPS

FP64 (double)

449.3 GFLOPS

Board Design

245W

TDP

260W

550 W

Suggested PSU

600 W

No outputs

Outputs

No outputs

-

Power Connectors

1x 6-pin + 1x 8-pin

Graphics Processor

GK110B

GPU Name

TU102

-

GPU Variant

TU102-875-A1

Kepler

Architecture

Turing

TSMC

Foundry

TSMC

28 nm

Process Size

12 nm

7.08 billion

Transistors

18.6 billion

561 mm²

Die Size

754 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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