📝 Blog • Geniuspace® algorithm
Ollama vs vLLM Deployment Guide: Local Inference Patterns
A practical deployment guide comparing local inference stacks: when to use Ollama, when to use vLLM, and how to govern releases.
🛡️ Governance
📜 Evidence trail
☁️ On‑prem/VPC/Edge
Key takeaways
- Choose based on workload: dev convenience vs throughput.
- Secure runtime: access control, network boundaries, secrets management.
- Operate with evidence: logging, evaluation and change approvals.
- Plan rollbacks and model versioning from day one.
Decision criteria
- Ollama: fast local dev, simple model management.
- vLLM: high throughput and production serving patterns.
Governance in production
- Pin model versions and adapters.
- Automate evaluation gates.
- Centralize audit logs.
Security basics
Restrict access, isolate networks, and treat prompts and context as sensitive data.
Procurement note
If you want this to survive audits, insist on artifacts: requirements, evaluation gates, logs, incident procedures and reversibility clauses.