Launch readiness assessment for large language models

Production LLM Deployment Checklist

This interactive checklist helps enterprise AI teams evaluate their readiness to deploy large language models (LLMs) in production. It covers core operational, infrastructure, security, and compliance requirements tailored to LLM workloads.

Deploying large language models in production involves complex considerations beyond standard model operations. This checklist guides teams through critical factors including infrastructure scalability, monitoring, security, and compliance to ensure launch readiness.

Use this interactive tool to self-assess your environment. The checklist is gated to capture interest and enable personalized follow-up with detailed implementation recommendations.

Inputs

LLM model size

Select the parameter count or tier of the LLM to be deployed

Deployment architecture

Choose the infrastructure model for hosting the LLM

Expected query throughput (requests per second)

Estimate the average requests per second expected in production

Latency SLA (milliseconds per request)

Maximum acceptable response time per query

Is continuous monitoring and logging in place?

YesNo

Logs and metrics must cover performance, errors, and usage

Security controls implementedSelect all that apply

Compliance standards requiredSelect applicable regulations or certifications

Team experience with LLM deployment

Assess your team’s operational maturity

Result

Calculated readiness score

(llm_model_size == 'small' ? 1 : llm_model_size == 'medium' ? 2 : llm_model_size == 'large' ? 3 : 4) + (deployment_architecture == 'managed_service' ? 1 : 0) + (throughput_requirements > 500 ? 2 : 1) + (latency_sla < 300 ? 2 : 1) + (monitoring_compliance == 'yes' ? 2 : 0) + (security_controls.length) + (compliance_standards.length) + (team_experience_level == 'advanced' ? 2 : team_experience_level == 'intermediate' ? 1 : 0)

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Production LLM Deployment Readiness

Review your inputs and consider strengthening infrastructure, monitoring, and security.

Next steps

This checklist provides a high-level view of readiness. For enterprise deployments, consult vendor documentation and consider third-party assessments, particularly around security and compliance.

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