ML Ops for LLM Customers

Getting an LLM application to work once is not the same thing as operating it well over time.

ML Ops for LLM Customers is SnapSoft’s offer for customers running LLM workloads on AWS that now need a stronger production operating model. This includes evaluation loops, monitoring, deployment controls, governance, artifact and prompt management, and ongoing optimization.

This offer is a fit for customers running LLM applications, retrieval systems, assistants, or Bedrock based workflows that need more rigor around quality, operations, and change management. The goal is to help customers run LLM applications like production systems, not one off experiments.

Included deliverables

• Current state LLM operations review
• Evaluation framework recommendations
• Prompt and artifact management approach -Monitoring and observability recommendations
• Deployment and change control recommendations
• Governance and cost visibility review
• Roadmap for production improvement