GLOBAL MACHINE VISION GPU MODULE MARKET

INTRODUCTION

 While GPUs use parallel computing to divide enormously complex problems into numerous smaller simultaneous calculations, CPUs can process many common tasks quickly and sequentially. They are therefore perfect for managing the widely dispersed computations needed for machine learning.

GLOBAL MACHINE VISION GPU MODULE MARKET SIZE AND FORECAST

The Global Machine Vision GPU Module market accounted for $XX Billion in 2021 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2022 to 2030.

NEW PRODUCT LAUNCH

New embedded MXM GPU modules from Aetina, including the RTX A1000, RTX A2000, and RTX A4500, are powered by the NVIDIA RTX family.

These MXM GPU modules with NVIDIA Ampere architecture-based performance and power efficiency are ideal for a range of computer vision applications in a variety of fields, including commercial gaming, aerospace, healthcare, and manufacturing.

With their sleek designs, the new MXM GPU modules can be quickly and easily integrated into a variety of AI systems to improve computing performance and handle challenging AI inference tasks.

In order to help its clients reduce maintenance costs and time for their long-term AI projects, Aetina offers an optional conformal coating service for these GPU modules. This service makes the modules capable of operating normally in harsh environments and ensures their availability for 5 years.

Additionally, the business offers MXM GPU modules powered by additional NVIDIA GPUs like the Quadro T1000, Quadro RTX3000, and Quadro RTX5000 to meet various levels of computer performance requirements from any developments of AI-powered systems.

COMPANY PROFILE

• Arcturus
• Elementary
• NVIDIA
• Instrumental
• Mech-Minded Robotics
•  Landing AI
• Aetina

THIS REPORT WILL ANSWER FOLLOWING QUESTIONS

1. How many Machine Vision GPU Modules are manufactured per annum globally? Who are the sub-component suppliers in different regions?
2. Cost breakup of a GlobalMachine Vision GPU Module and key vendor selection criteria
3. Where is the Machine Vision GPU Module manufactured? What is the average margin per unit?
4. Market share ofGlobalMachine Vision GPU Module market  manufacturers and their upcoming products
5. Cost advantage for OEMs who manufactureGlobalMachine Vision GPU Module in-house
6. 5 key predictions for next 5 years inGlobalMachine Vision GPU Module market
7. Average B-2-B Machine Vision GPU Module market price in all segments
8. Latest trends in Machine Vision GPU Module market, by every market segment
9. The market size (both volume and value) of the Machine Vision GPU Module market in 2022-2030 and every year in between?
10. Production breakup of Machine Vision GPU Module market, by suppliers and their OEM relationship