vLLM (@vllm_project) — Developer tools / infra on X (Twitter)

vLLM is a Developer tools / infra creator on X (Twitter) in the 40K–50K follower range, publishing for LLM inference engineers and AI developers building production serving systems, especially for agentic and edge workloads. Profile last checked 2026-06-25.

| Field | Value |

| --- | --- |

| Platform | X (Twitter) |

| Handle | @vllm_project |

| Followers | 40K–50K |

| Category | Software · Developer tools / infra |

| Audience function | developers |

Profile bio

A high-throughput and memory-efficient inference and serving engine for LLMs. Join https://t.co/lxJ0SfX5pJ to discuss together with the community!

What this creator posts about, and who reads it

Recurring topics: vLLM engine updates and new model support, LLM inference optimization and serving, Agentic AI workloads on diverse hardware, Small model deployment for edge and automation devices

Audience: LLM inference engineers and AI developers building production serving systems, especially for agentic and edge workloads

Audience read from this creator’s own recent posts, not from platform-declared categories. It is our reading, and it can be wrong.

Recent content samples

🚀 Day-0 support for LFM2.5-230M on vLLM! Ready to serve @liquidai's smallest LFM2 model for fast GPU inference and agentic workloads. 🧠 230M parameters, built on the LFM2 architecture 📚 Pre-trained on 19T tokens…

See the original post on X (Twitter)

Where this creator sits in the wider pool

Koinon Link indexes X (Twitter) creators in Software with grade, authenticity and contactability broken down — see the X (Twitter) × Software breakdown, or the Creator Index Report for the whole index.

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