• Skip to primary navigation
  • Skip to main content
  • Skip to primary sidebar
  • Skip to footer

Microcontroller Tips

Microcontroller engineering resources, new microcontroller products and electronics engineering news

  • Products
    • 8-bit
    • 16-bit
    • 32-bit
    • 64-bit
  • Applications
    • 5G
    • Automotive
    • Connectivity
    • Consumer Electronics
    • EV Engineering
    • Industrial
    • IoT
    • Medical
    • Security
    • Telecommunications
    • Wearables
    • Wireless
  • Learn
    • eBooks / Tech Tips
    • EE Training Days
    • FAQs
    • Learning Center
    • Tech Toolboxes
    • Webinars/Digital Events
  • Resources
    • Design Guide Library
    • DesignFast
    • LEAP Awards
    • Podcasts
    • White Papers
  • Videos
    • EE Videos & Interviews
    • Teardown Videos
  • EE Forums
    • EDABoard.com
    • Electro-Tech-Online.com
  • Engineering Training Days
  • Advertise
  • Subscribe

NVIDIA-based GPU modules target vision applications

October 25, 2022 By Redding Traiger

Aetina has launched new embedded MXM GPU modules powered by the NVIDIA RTX family, including RTX A1000, RTX A2000, and RTX A4500. These NVIDIA Ampere architecture-based MXM GPU modules, providing superb performance and power efficiency, are suitable for various types of computer vision applications across different industries such as commercial gaming, aerospace, healthcare, and manufacturing.

The model names of the new Aetina MXM GPU modules powered by NVIDIA RTX A1000, NVIDIA RTX A2000, and NVIDIA RTX A4500 are M3A1000-PP, M3A2000-VY, and M3A4500-WP, respectively. These models support CUDA Compute version 8.6, OpenGL 4.6, Vulkan 1.2, DirectX 12 Ultimate, and Shader Model 7.0, as well as Windows 10/11 64-bit and Linux 64-bit operating systems. For display and output, M3A1000-PP, M3A2000-VY, and M3A4500-WP all support up to 4x DisplayPort (DP) and 8K (7680 × 4320) resolution.

M3A1000-PP provides 6.66 TFLOPS peak FP32 performance and has 2048 CUDA cores, 16 RT cores, 64 Tensor cores, and 4GB GDDR6 memory, while M3A2000-VY offers 8.25 TFLOPS peak FP32 performance and has 2560 CUDA cores, 20 RT cores and 80 Tensor cores, and 8GB GDDR6 memory.

M3A4500-WP, with the highest computer power among all new models, provides 18.55 TFLOPS peak FP32 performance, and has 5888 CUDA cores, 80 RT cores, 184 Tensor cores, and 16GB GDDR6 memory. The MXM GPU module, as well as M3A2000-VY, supports error correction code (ECC) memory for controlling errors in data over unreliable or unstable communication channels.

The new MXM GPU modules, with their compact designs, can be easily integrated into a variety of AI systems to boost computing performance and run complex AI inference tasks. For these GPU modules, Aetina provides optional conformal coating service to make the modules capable of functioning normally in harsh environments and ensures the 5-year availability of the modules as well as exclusive technical support to help its clients save maintenance costs and time for their long-term AI projects.

Moreover, the company offers MXM GPU modules powered by other NVIDIA GPUs including Quadro T1000, Quadro RTX3000, and Quadro RTX5000 to meet different levels of computer performance requirements from any AI-powered system developments.

You may also like:


  • How many internal memories does an MCU have?

  • Exceptions, traps, and interrupts, what’s the difference?

  • How do firmware, system software, and application software work together?

  • What do MCUs have that FPGAs don’t?

  • Factors to consider when selecting an MCU

Filed Under: Aerospace and Defense, Artificial intelligence, Computer, Consumer Electronics, Embedded, Hardware, Industrial, Medical, Memory, Products, Telecommunications, Tools Tagged With: aetinacorporation

Primary Sidebar

Featured Contributions

Five challenges for developing next-generation ADAS and autonomous vehicles

Securing IoT devices against quantum computing risks

RISC-V implementation strategies for certification of safety-critical systems

What’s new with Matter: how Matter 1.4 is reshaping interoperability and energy management

Edge AI: Revolutionizing real-time data processing and automation

More Featured Contributions

EE TECH TOOLBOX

“ee
Tech Toolbox: 5G Technology
This Tech Toolbox covers the basics of 5G technology plus a story about how engineers designed and built a prototype DSL router mostly from old cellphone parts. Download this first 5G/wired/wireless communications Tech Toolbox to learn more!

EE Learning Center

EE Learning Center

EE ENGINEERING TRAINING DAYS

engineering
“bills
“microcontroller
EXPAND YOUR KNOWLEDGE AND STAY CONNECTED
Get the latest info on technologies, tools and strategies for EE professionals.

DesignFast

Design Fast Logo
Component Selection Made Simple.

Try it Today
design fast globle

Footer

Microcontroller Tips

EE World Online Network

  • 5G Technology World
  • EE World Online
  • Engineers Garage
  • Analog IC Tips
  • Battery Power Tips
  • Connector Tips
  • DesignFast
  • EDA Board Forums
  • Electro Tech Online Forums
  • EV Engineering
  • Power Electronic Tips
  • Sensor Tips
  • Test and Measurement Tips

Microcontroller Tips

  • Subscribe to our newsletter
  • Advertise with us
  • Contact us
  • About us

Copyright © 2025 · WTWH Media LLC and its licensors. All rights reserved.
The material on this site may not be reproduced, distributed, transmitted, cached or otherwise used, except with the prior written permission of WTWH Media.

Privacy Policy