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ISSUE NO. 107AI + DEV TOOLS
AutoKaam.

Topic

Vllm

2 news articles · 1 tutorial

News

vLLM at 10K QPS: What 50-Engineer ML Teams Learned Scaling Open-Weight LLM Inference, research on AutoKaam
Research

vLLM at 10K QPS: What 50-Engineer Teams Learned

Teams hitting 10K QPS on vLLM aren’t winning on hardware, they’re winning on operational rigor. The cost isn’t the GPU bill. It’s the engineering time spent debugging KV-cache thrashing and speculative decoding edge cases no one saw in staging.

AutoKaam EditorialApr 29, 20267 MIN
vLLM v0.19.0 Cracks Zero-Bubble Scheduling, Guts Speculative Decode Overhead, launches on AutoKaam
Launches

vLLM v0.19.0 Cracks Zero-Bubble Scheduling

vLLM v0.19.0 ships 448 commits from 197 contributors: zero-bubble async scheduling with speculative decoding, full Gemma 4 support, and Model Runner V2 maturation across pipeline parallelism and multimodal paths.

Aditya SharmaApr 27, 20267 MIN

Tutorials

vLLM server logs and RunPod dashboard side by side
AutomationLevel / advanced

vLLM On RunPod, Pay-Per-Second GPU Inference

vLLM is the production-grade inference engine I reach for when local hardware is not enough. Hosted on RunPod at pay-per-second pricing, this is the setup I use for one-off batch jobs.

Published 7 min read