The SRE’s Guide to LLMOps: Deploying and Managing AI Workloads on Kubernetes - Seguridad Mania.com - España y América Latina

For SRE or DevOps professionals navigating unchartered waters of LLMs, RAGs and GenAI, the lack of standardization, resources and knowledge can quickly turn into an operational nightmare. DevOps and SRE practices are no longer just about infrastructure and delivery speed — they now also delve into the complexities of GenAI, particularly LLMs. While it may be tempting for an uninitiated SRE to approach this as a traditional MLOps problem, it quickly becomes clear that LLMOps is an entirely different challenge, starting from day 0. Join our webinar led by Harsh Mishra, SRE Intern at One2N Consulting, to explore the unique challenges and solutions of LLMOps from an SRE perspective. What we’ll cover: - Day 0 prerequisites for understanding and hosting LLMs on Kubernetes. - Breaking down core components: AI (RAGs, Vector Databases), Backend, and Compute. - Key differences between LLMOps and traditional MLOps. - Case study: Building an internal tool with optimized architecture using Nvidia GPUs and Ray Distributed. Register now!