NVIDIA Jetson Orin Nano 8 GB vs NVIDIA Tesla M2075

VS

NVIDIA Jetson Orin Nano 8 GB

NVIDIA Tesla M2075

We compared two Professional market GPUs: 8GB VRAM Jetson Orin Nano 8 GB and 6GB VRAM Tesla M2075 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Jetson Orin Nano 8 GB 's Advantages

Released 11 years and 8 months late

More VRAM (8GB vs 6GB)

576 additional rendering cores

Lower TDP (15W vs 225W)

NVIDIA Tesla M2075 's Advantages

Larger VRAM bandwidth (150.3GB/s vs 68.29GB/s)

Score

Benchmark

FP32 (float)

Jetson Orin Nano 8 GB +24%

1.28 TFLOPS

Tesla M2075

1.028 TFLOPS

Jetson Orin Nano 8 GB

VS

Tesla M2075

Graphics Card

Mar 2023

Release Date

Jul 2011

Tegra

Generation

Tesla

Professional

Type

Professional

PCIe 4.0 x4

Bus Interface

PCIe 2.0 x16

Clock Speeds

-

1067 MHz

Memory Clock

783 MHz

Memory

8GB

Memory Size

6GB

LPDDR5

Memory Type

GDDR5

128bit

Memory Bus

384bit

68.29GB/s

Bandwidth

150.3GB/s

Render Config

-

8

SM Count

14

1024

Shading Units

448

32

TMUs

56

16

ROPs

48

32

Tensor Cores

-

128 KB (per SM)

L1 Cache

64 KB (per SM)

256 KB

L2 Cache

768 KB

-

Theoretical Performance

10.00 GPixel/s

Pixel Rate

16.07 GPixel/s

20.00 GTexel/s

Texture Rate

32.14 GTexel/s

2.560 TFLOPS

FP16 (half)

-

1280 GFLOPS

FP32 (float)

1028 GFLOPS

640.0 GFLOPS

FP64 (double)

513.9 GFLOPS

Board Design

15W

TDP

225W

-

Suggested PSU

550 W

Portable Device Dependent

Outputs

No outputs

-

Power Connectors

1x 6-pin + 1x 8-pin

Graphics Processor

GA10B

GPU Name

GF110

-

GPU Variant

GF110-876-A1

Ampere

Architecture

Fermi 2.0

Samsung

Foundry

TSMC

8 nm

Process Size

40 nm

Unknown

Transistors

3 billion

Unknown

Die Size

520 mm²

Graphics Features

12 Ultimate (12_2)

DirectX

12 (11_0)

4.6

OpenGL

4.6

3.0

OpenCL

1.1

1.3

Vulkan

N/A

8.6

CUDA

2.0

6.7

Shader Model

5.1

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