NVIDIA Tesla K40st vs NVIDIA Jetson Orin Nano 4 GB

VS

NVIDIA Tesla K40st

NVIDIA Jetson Orin Nano 4 GB

We compared two Professional market GPUs: 12GB VRAM Tesla K40st and 4GB VRAM Jetson Orin Nano 4 GB to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla K40st 's Advantages

More VRAM (12GB vs 4GB)

Larger VRAM bandwidth (288.4GB/s vs 34.14GB/s)

2368 additional rendering cores

NVIDIA Jetson Orin Nano 4 GB 's Advantages

Released 9 years and 4 months late

Lower TDP (10W vs 245W)

Score

Benchmark

FP32 (float)

Tesla K40st +417%

3.312 TFLOPS

Jetson Orin Nano 4 GB

0.64 TFLOPS

Tesla K40st

VS

Jetson Orin Nano 4 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

-

1502 MHz

Memory Clock

1067 MHz

Memory

12GB

Memory Size

4GB

GDDR5

Memory Type

LPDDR5

384bit

Memory Bus

64bit

288.4GB/s

Bandwidth

34.14GB/s

Render Config

-

SM Count

4

2880

Shading Units

512

240

TMUs

16

48

ROPs

8

-

Tensor Cores

16

-

16 KB (per SMX)

L1 Cache

128 KB (per SM)

1536 KB

L2 Cache

256 KB

-

Theoretical Performance

34.50 GPixel/s

Pixel Rate

5.000 GPixel/s

138.0 GTexel/s

Texture Rate

10.00 GTexel/s

-

FP16 (half)

1280 GFLOPS

3.312 TFLOPS

FP32 (float)

640.0 GFLOPS

1104 GFLOPS

FP64 (double)

320.0 GFLOPS

Board Design

245W

TDP

10W

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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