
vLLM in the Media
12 mentions across press, blogs, and newsletters
September 2026
Hardware-Agnostic Models in vLLM
TL;DR To achieve state-of-the-art performance at the frontier, vLLM is changing its internal implementation in ways that make it incompatible with fullgraph torch.compile. This may have consequences for users who...
How Shopify built a continual learning loop with PyTorch and vLLM
TL;DR: This case study explores how Shopify compresses production failures into model weights every day, beats frontier-model quality, and cuts serving costs 96% by building a continual learning loop with...
NVIDIA Brings Simplified Local AI Support To NVIDIA GPUs Carrying 24+ GB VRAM While vLLM & & llama.cpp Optimizations Boost Compute By Up To 1.9x
NVIDIA is bringing simpler local AI capabilities and adding various optimizations to its GPUs on RTX and DGX platforms. Local Agents To See Up To 1.9x Faster Performance Through Latest Optimizations Across NVIDIA RTX/DGX Platforms The first announcement is faster local agents, which are delivered th
Intel Updates LLM-Scaler-vLLM Build For vLLM 0.26 & Other Improvements
For those looking for the smoothest experience to get vLLM up and running on Intel Arc (Pro) graphics hardware, out today is the newest beta of Intel's LLM-Scaler-vLLM project for a Docker-based setup of vLLM ready to go on Intel GPUs...
August 2026
vLLM Sessions at PyTorch Conference North America 2026
TL;DR PyTorch Conference North America 2026 features vLLM across sessions on KV cache management and disaggregated serving, hardware portability, kernel optimization, PyTorch integration, Mixture-of-Experts inference, attention, and production serving. vLLM...
EP223: Ollama vs vLLM vs SGLang
To use open-weight models on your machine, you have three main options: Ollama, vLLM, and SGLang. But each engine handles requests differently.
TAIONE Open Source Foundation and Embedded LLM Collaborate to Build Taiwan’s vLLM Ecosystem
Partnership strengthens Taiwan’s participation in one of the world’s leading AI infrastructure projects through local community building, upstream contribution and engineering mentorship TAIPEI, Taiwan, Aug. 10, 2026 (GLOBE NEWSWIRE) — TAIONE Open Source Foundation and Embedded LLM
July 2026
Netflix Details Its In-House LLM Serving Platform with Triton and vLLM
Netflix has described the production lessons behind bringing LLM inference into its internal serving platform, including the challenges of supporting different model sizes, hardware requirements, and rapidly evolving inf
Running a self-hosted LLM in Kubernetes with vLLM
Running large language model (LLM) workloads in-house is one of several patterns teams adopt alongside managed API services. Managed API services are convenient and well suited to many workloads. Self-hosting is a complementary option that some...
Intel-Scaler-vLLM 0.21.0-b1 Delivers Latest Features For vLLM On Intel GPUs
Released this morning was Intel's newest version of Intel-Scaler-vLLM as their Docker-based solution providing an optimized vLLM stack for execution on Intel Arc (Pro) graphics hardware...
June 2026
Run a vLLM Server on HF Jobs in One Command
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Portable vLLM Model Inference Kernels in Helion
TL;DR Helion kernels were integrated into vLLM for FP8 inference using Qwen3 models and evaluated across NVIDIA H100 and B200 GPUs. The experiments show that Helion provides a productive PyTorch-native...
Toolradar Research
See vLLM in context: The SaaS Press Index 2026
We analyzed 6,704 press mentions across 290 outlets to rank which SaaS tools win coverage. Find vLLM's position relative to the 488 most-covered tools.
Read the reportExplore vLLM
Press coverage is one signal. See the full picture.