vLLM cementing de facto standard
vLLM is showing up everywhere in production—RunPod’s state-of-AI survey says roughly half of text-only endpoints run vLLM variants, and the vLLM project showcased Baidu’s new 4B Qianfan‑OCR serving straight from vLLM (tables, handwriting, 192 languages) with one command. This signals real-world momentum for low-latency, on‑prem serving stacks that many teams are already adopting rather than bespoke C++ runtimes alone. (x.com) (x.com)
Runpod’s March 12, 2026 State of AI report says vLLM powers roughly 40% of all LLM endpoints observed on the platform. (prnewswire.com) The Runpod dataset behind that figure is drawn from anonymized platform traffic and GPU utilization spanning 183 countries and a developer base Runpod describes as 500,000+ users. (prnewswire.com) vLLM’s public docs list PagedAttention (KV cache paging) and continuous batching as explicit optimizations that improve concurrency and reduce latency on commodity GPUs. (vllm.ai) Cloud vendors and hardware vendors are publishing concrete vLLM guidance: Google’s Vertex AI has step‑by‑step vLLM deployment docs for serving Llama 3.x, and NVIDIA’s release notes include container/run guidance for vLLM. (docs.cloud.google.com) Runpod exposes a maintained serverless vLLM worker template on GitHub (the worker-vllm repo shows active development and hundreds of commits), making vLLM a turnkey option for hosted endpoints. (github.com) Baidu’s newly published Qianfan‑OCR is a 4B‑parameter end‑to‑end document‑intelligence model that converts images to Markdown, supports up to 192 languages, and posts a 93.12 score on OmniDocBench v1.5. (huggingface.co) Baidu’s Qianfan paper frames the model as a single‑model serving problem—calling out that the architecture simplifies deployments compared with multi‑stage OCR pipelines and can be run as one instance. (arxiv.org) vLLM‑Omni extends vLLM to omni‑modality, and the vLLM CLI supports the simple serve workflow (vllm serve <model>) that brings an OpenAI‑compatible API online, enabling direct hosting of multimodal models such as Qianfan‑OCR. (docs.vllm.ai)
