NVIDIA Tesla K80 vs NVIDIA Quadro RTX 4000

VS

NVIDIA Tesla K80

NVIDIA Quadro RTX 4000

We compared two Professional market GPUs: 12GB VRAM Tesla K80 and 8GB VRAM Quadro RTX 4000 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla K80 's Advantages

More VRAM (12GB vs 8GB)

192 additional rendering cores

NVIDIA Quadro RTX 4000 's Advantages

Released 4 years late

Boost Clock has increased by 88% (1545MHz vs 824MHz)

Larger VRAM bandwidth (416.0GB/s vs 240.6GB/s)

Lower TDP (160W vs 300W)

Score

Benchmark

FP32 (float)

Tesla K80

4.113 TFLOPS

Quadro RTX 4000 +73%

7.119 TFLOPS

Tesla K80

VS

Quadro RTX 4000

Graphics Card

Nov 2014

Release Date

Nov 2018

Tesla

Generation

Quadro

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

562 MHz

Base Clock

1005 MHz

824 MHz

Boost Clock

1545 MHz

1253 MHz

Memory Clock

1625 MHz

Memory

12GB

Memory Size

8GB

GDDR5

Memory Type

GDDR6

384bit

Memory Bus

256bit

240.6GB/s

Bandwidth

416.0GB/s

Render Config

-

SM Count

36

2496

Shading Units

2304

208

TMUs

144

48

ROPs

64

-

Tensor Cores

288

-

RT Cores

36

16 KB (per SMX)

L1 Cache

64 KB (per SM)

1536 KB

L2 Cache

4 MB

-

Theoretical Performance

42.85 GPixel/s

Pixel Rate

98.88 GPixel/s

171.4 GTexel/s

Texture Rate

222.5 GTexel/s

-

FP16 (half)

14.24 TFLOPS

4.113 TFLOPS

FP32 (float)

7.119 TFLOPS

1371 GFLOPS

FP64 (double)

222.5 GFLOPS

Board Design

300W

TDP

160W

700 W

Suggested PSU

450 W

No outputs

Outputs

3x DisplayPort 1.4a 1x USB Type-C

1x 8-pin

Power Connectors

1x 8-pin

Graphics Processor

GK210

GPU Name

TU104

GK210-885-A1

GPU Variant

TU104-850-A1

Kepler 2.0

Architecture

Turing

TSMC

Foundry

TSMC

28 nm

Process Size

12 nm

7.1 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

3.7

CUDA

7.5

5.1

Shader Model

6.6

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