AMD Radeon Instinct MI60 vs NVIDIA Jetson Orin NX 8 GB

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AMD Radeon Instinct MI60 NVIDIA Jetson Orin NX 8 GB

We compared two Professional market GPUs: 32GB VRAM Radeon Instinct MI60 and 8GB VRAM Jetson Orin NX 8 GB to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

AMD Radeon Instinct MI60 's Advantages

Boost Clock1800MHz

More VRAM (32GB vs 8GB)

Larger VRAM bandwidth (1024GB/s vs 102.4GB/s)

3072 additional rendering cores

NVIDIA Jetson Orin NX 8 GB 's Advantages

Released 4 years and 4 months late

Lower TDP (20W vs 300W)

Score

Benchmark

FP32 (float)

Radeon Instinct MI60 +841%

14.75 TFLOPS

Jetson Orin NX 8 GB

1.567 TFLOPS

Radeon Instinct MI60

VS

Jetson Orin NX 8 GB

Graphics Card

Nov 2018

Release Date

Mar 2023

Radeon Instinct

Generation

Tegra

Professional

Type

Professional

PCIe 4.0 x16

Bus Interface

PCIe 4.0 x4

Clock Speeds

1200 MHz

Base Clock

-

1800 MHz

Boost Clock

-

1000 MHz

Memory Clock

1600 MHz

Memory

32GB

Memory Size

8GB

HBM2

Memory Type

LPDDR5

4096bit

Memory Bus

128bit

1024GB/s

Bandwidth

102.4GB/s

Render Config

-

SM Count

8

64

Compute Units

-

4096

Shading Units

1024

256

TMUs

32

64

ROPs

16

-

Tensor Cores

32

-

RT Cores

-

16 KB (per CU)

L1 Cache

128 KB (per SM)

4 MB

L2 Cache

256 KB

Theoretical Performance

115.2 GPixel/s

Pixel Rate

12.24 GPixel/s

460.8 GTexel/s

Texture Rate

24.48 GTexel/s

29.49 TFLOPS

FP16 (half)

3.133 TFLOPS

14.75 TFLOPS

FP32 (float)

1.567 TFLOPS

7.373 TFLOPS

FP64 (double)

783.4 GFLOPS

Graphics Processor

Vega 20

GPU Name

GA10B

Vega 20 GL

GPU Variant

TE980M-A1

GCN 5.1

Architecture

Ampere

TSMC

Foundry

Samsung

7 nm

Process Size

8 nm

13.23 billion

Transistors

Unknown

331 mm²

Die Size

Unknown

Board Design

300W

TDP

20W

700 W

Suggested PSU

-

1x mini-DisplayPort 1.4a

Outputs

Portable Device Dependent

1x 6-pin + 1x 8-pin

Power Connectors

-

Graphics Features

12 (12_1)

DirectX

12 Ultimate (12_2)

4.6

OpenGL

4.6

2.1

OpenCL

3.0

1.2

Vulkan

1.3

-

CUDA

8.6

6.4

Shader Model

6.7

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