Toyota Research Institute is embracing DevOps automation to reduce tactical, manual IT operations and to make it faster and easier for their researchers to test ideas. TRI is a division of Toyota focused on transforming the human condition including making driving safer, improving the accessibility of transportation and improving quality of life through robotics.
DevOps plays a key part in that role, introducing not just automation, but consistency, governance, and optimization. To help TRI achieve their goals, they turned to deep learning on Amazon Web Services (AWS).
The engineering team’s goal was to implement an Infrastructure as Code environment with automation to reduce errors, reduce manual errors and support the advanced research team. Specifically to achieve:
→ Reproducibility
→ Auditability
→ Scalability
→ Reasonability
Using Amazon EC2 P3 instances, TRI is seeing a 4X faster time-to-train than the P2 instances they had used previously, reducing their training time from days to hours.
The solution also includes:
