[Webinar] Optimize AI Infrastructure: From Bottlenecks to Breakthrough

This is a rebroadcast of our highly rated September 16 session. The presentation is pre-recorded, but includes a brief live Q&A.

🚀 Overview: Accelerate Your AI Workloads with Data-Driven Optimization

Join Fixstars Solutions for a practical webinar introducing the fundamentals of AI performance engineering. Learn how to uncover hidden inefficiencies in GPU infrastructure and apply optimizations that accelerate AI training and inference while reducing costs.

This session will also share insights from our hands-on evaluation of the B200 GPU. Despite its advantages over the H100 and H200, maximizing its real-world performance requires key considerations our engineers will reveal.

Through real-world case studies and a live walkthrough of Fixstars AIBooster, you’ll discover how to:

• Profile hardware usage
• Identify and fix bottlenecks
• Improve system ROI using data-driven insights

Who Should Watch?

• Infrastructure/platform engineers running AI models
• Machine learning engineers and DevOps managing GPU clusters
• CTOs and tech leads seeking to improve ROI on compute spend
• Anyone interested in AI infrastructure efficiency and tooling

Whether you’re working on LLMs, computer vision, or large-scale training pipelines, this session will equip you with practical techniques to improve performance and reduce operational waste—backed by real data and hands-on tools.