Case Study: Sony Honda Mobility Inc.

Sony Honda Mobility Inc. (SHM) focuses on maximizing the efficiency of GPU cloud environments in the development of Automated Driving (AD) and Advanced Driver-Assistance Systems (ADAS).

This white paper highlights how SHM leveraged Fixstars AIBooster to visualize GPU utilization, enhance productivity in AI development, and foster a stronger sense of cost awareness across its engineering teams.

What You’ll Learn

• The importance of quantitatively monitoring GPU resource utilization
• How to identify bottlenecks and establish continuous improvement cycles in AI development
• Approaches to building organizational awareness around efficiency and performance
• Strategies for ongoing acceleration and system stability in large-scale AI workloads

Recommended For

• AI/ML engineers seeking to optimize GPU cloud utilization
• Technical leaders looking to visualize and improve AI development processes
• Executives and managers aiming to instill a cost-conscious engineering culture