NVIDIA Tesla K40d vs NVIDIA Jetson Orin Nano 8 GB

VS

NVIDIA Tesla K40d

NVIDIA Jetson Orin Nano 8 GB

We compared two Professional market GPUs: 12GB VRAM Tesla K40d and 8GB VRAM Jetson Orin Nano 8 GB to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla K40d 's Advantages

Boost Clock876MHz

More VRAM (12GB vs 8GB)

Larger VRAM bandwidth (288.4GB/s vs 68.29GB/s)

1856 additional rendering cores

NVIDIA Jetson Orin Nano 8 GB 's Advantages

Released 9 years and 4 months late

Lower TDP (15W vs 245W)

Score

Benchmark

FP32 (float)

Tesla K40d +294%

5.046 TFLOPS

Jetson Orin Nano 8 GB

1.28 TFLOPS

Tesla K40d

VS

Jetson Orin Nano 8 GB

Graphics Card

Nov 2013

Release Date

Mar 2023

Tesla

Generation

Tegra

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 4.0 x4

Clock Speeds

745 MHz

Base Clock

-

876 MHz

Boost Clock

-

1502 MHz

Memory Clock

1067 MHz

Memory

12GB

Memory Size

8GB

GDDR5

Memory Type

LPDDR5

384bit

Memory Bus

128bit

288.4GB/s

Bandwidth

68.29GB/s

Render Config

-

SM Count

8

2880

Shading Units

1024

240

TMUs

32

48

ROPs

16

-

Tensor Cores

32

-

16 KB (per SMX)

L1 Cache

128 KB (per SM)

1536 KB

L2 Cache

256 KB

-

Theoretical Performance

52.56 GPixel/s

Pixel Rate

10.00 GPixel/s

210.2 GTexel/s

Texture Rate

20.00 GTexel/s

-

FP16 (half)

2.560 TFLOPS

5.046 TFLOPS

FP32 (float)

1280 GFLOPS

1.682 TFLOPS

FP64 (double)

640.0 GFLOPS

Board Design

245W

TDP

15W

550 W

Suggested PSU

-

No outputs

Outputs

Portable Device Dependent

-

Graphics Processor

GK110B

GPU Name

GA10B

-

Kepler

Architecture

Ampere

TSMC

Foundry

Samsung

28 nm

Process Size

8 nm

7.08 billion

Transistors

Unknown

561 mm²

Die Size

Unknown

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

8.6

5.1

Shader Model

6.7

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