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qwen

A collection of 62 posts

DGX Spark’s Community vLLM Stack Shows Local AI Now Comes With Wheels, Switches, and Pager Duty

DGX Spark’s Community vLLM Stack Shows Local AI Now Comes With Wheels, Switches, and Pager Duty

The least glamorous part of local AI is becoming the part that matters most: the wheel file. That is the useful signal from eugr/spark-vllm-docker, a community-maintained Docker stack for running vLLM on NVIDIA DGX Spark and GB10-class systems. The project shipped same-day prebuilt vLLM and FlashInfer wheels on May

vLLM 0.20.2 Is a Patch Release About the Boring Parts That Decide Whether Local Inference Works

vLLM 0.20.2 Is a Patch Release About the Boring Parts That Decide Whether Local Inference Works

vLLM 0.20.2 is the kind of release that will never trend, which is exactly why it matters. The patch notes are six commits from six contributors, mostly fixes for DeepSeek V4, gpt-oss MXFP4, and Qwen3-VL. No launch video. No grand benchmark chart. Just the maintenance work that decides

Qwen Is Becoming Alibaba’s Transaction Layer

Qwen Is Becoming Alibaba’s Transaction Layer

Alibaba’s Qwen-Taobao integration is easy to misread as “shopping chatbot gets product search.” That undersells the move. Reuters reports that Alibaba is preparing to wire Qwen directly into Taobao and Tmall so users can browse, compare, and purchase through conversation, with the Qwen app gaining access to more than

Valid Bash Is Not Safe Bash: NVIDIA’s Small-Model Benchmark Is Really an Agent Security Warning

Valid Bash Is Not Safe Bash: NVIDIA’s Small-Model Benchmark Is Really an Agent Security Warning

The most important sentence in NVIDIA’s new Bash-generation research is not the benchmark result. It is the premise: Bash is “one of the most flexible and powerful interfaces exposed to AI agents.” That is the polite version. The less polite version is that a coding agent producing shell commands

Megatron Bridge on GB10 Shows the Painful Gap Between ‘Supported’ and ‘Usable’

Megatron Bridge on GB10 Shows the Painful Gap Between ‘Supported’ and ‘Usable’

The useful NVIDIA forum posts are not always the polished ones. Sometimes the useful one is a frustrated builder saying Megatron Bridge is eating “endless VRAM” on a two-node GB10 setup and falling over at batch sizes where the simpler Hugging Face path survives. That is not a definitive indictment