🚀 Practical vLLM Demo — Real GPU Performance Test

In my previous video, we covered the theory behind VLLM. In this one, I jump straight into the hands-on demonstration. I provisioned two separate GPU machines and ran: Standard container inference (baseline) VLLM-optimized inference on the second machine Then I compared: GPU memory utilization Latency for different max token values Response time changes as parameters scale How VLLM handles batching and memory differently When VLLM gives the biggest speed-ups You’ll see side-by-side real numbers from both runs. This is the type of deep-infrastructure view that helps SREs, ML engineers, and GPU enthusiasts understand why VLLM is becoming the standard for high-throughput inference. If you’re new to VLLM, this will give you a clear, practical sense of the gains you can expect. Enjoy the demo — more GPU/SRE content coming! 🔥 Like, comment, and subscribe if this helped you.