Updates and recent posts about vLLM..

Posts
Description

Activity

@devopslinks added a new tool Grype , 6 months, 2 weeks ago.

Activity

@kaptain added a new tool Hadolint , 6 months, 2 weeks ago.

Activity

@varbear added a new tool Bandit , 6 months, 2 weeks ago.

Activity

@devopslinks added a new tool JFrog Xray , 6 months, 2 weeks ago.

Activity

@devopslinks added a new tool OWASP Dependency-Check , 6 months, 2 weeks ago.

Activity

@varbear added a new tool pre-commit , 6 months, 2 weeks ago.

Activity

@devopslinks added a new tool GitGuardian , 6 months, 2 weeks ago.

Activity

@devopslinks added a new tool detect-secrets , 6 months, 2 weeks ago.

Activity

@devopslinks added a new tool Gitleaks , 6 months, 2 weeks ago.

Course

@eon01 published a course, 6 months, 2 weeks ago

Founder, FAUN.dev

DevSecOps in Practice

#AppSec #DevOps #DevSecO... #SecDevO... #Securit...

A Hands-On Guide to Operationalizing DevSecOps at Scale

vLLM is an advanced open-source framework for serving and running large language models efficiently at scale. Developed by researchers and engineers from UC Berkeley and adopted widely across the AI industry, vLLM focuses on optimizing inference performance through its innovative PagedAttention mechanism — a memory management system that enables near-zero waste in GPU memory utilization. It supports model parallelism, continuous batching, tensor parallelism, and dynamic batching across GPUs, making it ideal for real-world deployment of foundation models. vLLM integrates seamlessly with Hugging Face Transformers, OpenAI-compatible APIs, and popular orchestration tools like Ray Serve and Kubernetes. Its design allows developers and enterprises to host LLMs with reduced latency, lower hardware costs, and increased throughput, powering everything from chatbots to enterprise-scale AI services.