Webinar Speed Up Your AI: Performance Engineering Tips
Published: November 18, 2025; Aithor: Julia Sonrisa
Optimize AI workloads and cut GPU costs with Fixstars.
(Rebroadcast of the October 30 Webinar + Live Q&A Session)
Join us for a special rebroadcast of our October 30 webinar, followed by a live Q&A with Fixstars engineers.
In this session, you’ll explore AI performance engineering from a systems perspective—learning how to detect and eliminate inefficiencies across GPU, CPU, memory, and interconnect layers in both training and inference pipelines.
You’ll gain practical insights into:
- Conducting low-level hardware profiling and interpreting utilization metrics
- Applying kernel-level and I/O optimizations for measurable improvements in throughput, latency, and cost efficiency
Through real-world case studies and a guided demonstration of Fixstars AIBooster, discover how engineers are achieving:
- Up to 5Рё faster training on large-scale models
- 50% lower inference costs through targeted tuning
- Sustainable ROI gains through systematic performance engineering
Who Should Watch
- Infrastructure and platform engineers managing AI workloads
- ML engineers and DevOps teams are optimizing GPU clusters
- CTOs, tech leads, and system architects seeking compute efficiency
- Anyone building or scaling AI infrastructure with performance in mind
Whether you’re optimizing LLMs, computer vision models, or multi-node training pipelines, this session delivers actionable, data-backed methods to make your AI systems faster, leaner, and more cost-efficient.
Time: 3:00 pm EST
Free!
Registration
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Detailed information and discussion of the event.