GPU on Clarence | Backend, AI, DevOps, Infrastructure

Proxmox VE and PBS: Planning and Backup Strategy for Small and Mid-sized On-prem Infrastructure

Mon, 26 Oct 2026 00:00:00 +0800

Since 2023, I have planned and operated Proxmox VE, Proxmox Backup Server (PBS), GPU servers, and On-prem infrastructure as an operator. The environment runs internal services and AI runtime workloads, and I am responsible for the overall backup strategy.

This is not an installation guide. It summarizes the planning principles I care about in small and mid-sized on-prem environments, plus problems I actually ran into and documented on my blog (the linked posts are written in Traditional Chinese). It does not include hostnames, IP addresses, network layouts, or security details. Configuration advice here is general guidance, and the official Proxmox documentation remains the reference.

Speech AI and GPU Runtime: Notes on Deploying and Operating Kaldi and Whisper

Mon, 26 Oct 2026 00:00:00 +0800

Since 2022, part of my work has been bringing speech recognition technologies such as Kaldi and Whisper, together with GPU runtime, into real systems. That covers model inference, system deployment, and the performance maintenance that follows.

This is not a full case study of a specific project, and it does not include internal architecture, data, or performance numbers. Instead, it describes how I approach this kind of work: how I think about the differences between Kaldi and Whisper, why I stabilize the GPU runtime first, and what I check after deployment. Technical details follow the official documentation, and the troubleshooting lessons come from articles I have published on blog.clarence.tw (written in Chinese).