vLLM
High-throughput LLM inference serving with PagedAttention.
Maturity level: L2 — Can Build
Six perspectives on vLLM
Roadmap
Advanced — after Kubernetes and LLM fundamentals.
Architecture
Inference runtime behind API gateway on GPU infrastructure.
Company
Specialized skill for AI infrastructure and senior LLMOps roles.
Projects
Deploy vLLM on K8s with monitoring.
Interview
Inference optimization and GPU troubleshooting.
Career
Key for AI Infrastructure Engineer path.
What & Why
What: Inference engine optimized for serving LLMs with high throughput and low latency.
Why: Production LLM serving requires specialized runtimes beyond raw API calls.
Build this
Self-hosted LLM endpoint with autoscaling on GPU nodes.
Production reality
- ! GPU OOM
- ! KV cache exhaustion
- ! Cold start latency
- ! Model loading time
Interview preparation
- How does vLLM improve throughput?
- GPU memory management for inference
Connected skills
Explore vLLM in the interactive universe or train with live cohorts.