Ask the author

Author: Kevin Mak


Publication Date: Jun 19 2019


Pages: 9

Report Type: Insight, Word



Related Reports

Related Dashboards

 Autonomous Vehicles

Gyrfalcon Technology: Embedded Memory in Processing Matrix Could Revolutionize Artificial Intelligence in Automotive




Available to Clients Only

This report is available to Strategy Analytics clients only.

Become a Client

Strategy Analytics is a leader in supporting companies across the planning lifecycle through a range of research solutions. Please contact us to learn more about the benefits of becoming a client. Contact Us

Report Summary:

In June 2019, Gyrfalcon Technology, Inc. (GTI) gave more details of its approach to move away from GPUs (Graphics Processing Units) and move towards neural processing architectures that embed memory within a matrix of processing cores.  This strategy has been adopted first by Tesla, but GTI’s solution claims to promise even greater performance and processing efficiency and could thus revolutionize the implementation of Artificial Intelligence in automotive and in other industry sectors.

Table of Contents

Analysis
- Matrix Architecture
- Embedded Memory
- Performance and Efficiency Comparison
- Scalability
- Fabrication
- Faster Time-to-Market
- Business Strategy
- What About FPGAs?

Implications

How Can We Help You?

 

For more information about our services please contact us or email support@strategyanalytics.com

Related Reports

Related Dashboards