GGPUStackingpustack.hashnode.dev·2d ago · 14 min readGPUStack × Jev: Decision Routing — Mechanism, Configuration, and ValidationGPUStack v2.3.0rc2 introduced a preview of an advanced routing capability worth testing hands-on: selecting a model through the Jev decision service. When multiple models are available in GPUStack, an00
GGPUStackingpustack.hashnode.dev·6d ago · 11 min readCan an NVIDIA A800 80GB Run Qwen-Image-2.1? A GPUStack Deployment GuideOn September 20, 2026, the Qwen team open-sourced Qwen-Image-2.1, a model that unifies text-to-image generation and image editing. Its visual generation component is a 7B-parameter, 32-layer Single-St00
GGPUStackingpustack.hashnode.dev·Jul 30 · 17 min readGPUStack Day 0 Support for Kimi-K3: vLLM vs. SGLang Inference Benchmark on 8×B300 GPUsThis article documents the deployment and benchmarking of Kimi-K3 on a single server equipped with 8×NVIDIA B300 GPUs. It compares vLLM and SGLang under 64K and 200K long-context workloads. The key fi00
GGPUStackingpustack.hashnode.dev·Jul 23 · 10 min readWhere Did Your GPU Resources Go? GPUStack Usage Tracking Gives You the Answer at a GlanceYou bought a stack of GPUs and deployed a bunch of models. Then, at the end of the month, your boss asks: “Are these GPUs actually worth the cost?” Can you answer? If not, this article is for you. GP00
GGPUStackingpustack.hashnode.dev·Jul 22 · 6 min readDay 0 Deployment Experience | Deploying GLM-5.2-FP8-DSpark on GPUStackThis article is curated from a real-world deployment experience shared by a GPUStack community member. GLM-5.2-FP8-DSpark is an enhanced version of GLM-5.2-FP8 that applies Speculative Decoding by loa00
