AI Builders Global Conference 2026. October 14-16, 2026. Online.
LLMOps: Deploying, Monitoring & Scaling AI in Production
This description belongs to the 2026 topic catalog. The 2027 program is being prepared separately.
The "control plane" of AI. This workshop covers the full operational lifecycle of LLM applications in production: inference optimization through quantization and distillation, cost management strategies, monitoring and alerting for model degradation, A/B testing of model versions, managing multi-cloud AI infrastructure, and the real operational challenges teams face keeping LLMs running reliably at enterprise scale.
Questions explored in the 2026 topic catalog
- How do you optimize inference costs without sacrificing quality?
- What monitoring metrics matter most for LLM applications?
- How do you A/B test different model versions in production?
- What does the ideal LLMOps tech stack look like in 2026?
- How do you manage model updates and version rollbacks?
- What are the most common production failures and how do you prevent them?
Who this topic is for
DevOps/MLOps engineers, platform engineers, SREs, and technical leads responsible for running AI applications in production.
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