LLM Development -- 2

@Hrolgar

I run self-hosted LLM stacks in production daily — containerized on both local machines and Linux VPS. This is my bread and butter. I'll get you set up with Open WebUI + Ollama (or whichever model runtime you prefer) on both your laptop and VPS using Docker Compose. Proper volume mounts for persistence, nginx reverse proxy with SSL for the VPS, and a clean setup you can maintain yourself. Deliverables: - Working local setup on your laptop - Dockerized deployment on your Linux VPS - Reverse proxy + SSL config - Quick walkthrough so you understand the architecture Can have the laptop side running within hours of starting. The VPS deployment follows the same pattern, just with the added proxy layer. Happy to jump on a quick call to nail down your exact requirements — model size, GPU availability, etc.

@drtaimoor

Hello, I can help you set up a Claude-like self-hosted assistant (Open Claw or similar) both locally and on your VPS with a clean, reproducible setup. I have experience working with LLMs (local + API-based), Dockerized deployments, and Linux servers, including setting up tools like Ollama, LM Studio, Open WebUI, and containerized inference stacks. Proposed approach: • Local setup (Laptop): Install LLM runtime (Ollama or similar), configure models (Llama/Qwen), and connect to a simple UI (Open WebUI) • VPS deployment: Dockerize the stack (LLM runtime + API + UI), configure reverse proxy (Nginx), SSL, and basic auth/security • Monitoring: lightweight logging + resource monitoring (CPU/RAM usage) • Documentation: step-by-step guide for updating models, configs, and restarting services I focus on making setups simple, stable, and easy to maintain, so you can manage everything yourself after handover. Happy to review your system specs and recommend the best model/runtime ?

@jazzyhuang

Hey — read through your post on llm development -- 2. I've done similar work with System Admin, Linux, Apache recently. I can get a working version to you in about 1 week. What's the most important piece you'd want to see first? — Jazzy

@BilalBel

You do not need another “LLM setup” that works on one machine and breaks the moment you move it to a VPS. The real problem here is keeping the local laptop install, the containerized VPS deployment, and the update process consistent, so you are not stuck babysitting configs every time a model or dependency changes. I handle this as a clean deployment, local install first, then a hardened Dockerized VPS rollout with security basics, logging, and monitoring wired in from the start. I also leave you with a short handoff doc for model and config updates, so you can maintain it without touching the internals. That is the part most people skip, and it is usually why these setups become fragile after week one. I deploy systems like this on OpenClaw, the 240K-star platform used for production agent workflows, so the setup is built to be repeatable, not improvised. Send me your OS, RAM, GPU, and VPS specs, and I will map the exact approach plus a realistic time estimate.

@chiragm078

Hello There, I work on backend systems, LLM integrations, and containerized deployments. I’ve set up local and VPS-based model runtimes with APIs, focusing on control, reproducibility, and low overhead. Your requirement is clear: run a Claude-like assistant locally and on VPS, with the same setup and no hidden dependencies. How I would approach your project : This is about building a clean, repeatable setup for local and server use, not just installing tools. Key Functional Requirements : Local LLM setup with usable interface/API Dockerized environment for VPS Config-based model/control management Basic security and monitoring Non-Goals : No distributed infra No heavy UI layers No unnecessary scaling Development Roadmap : Phase 1 – Local setup and validation Phase 2 – Containerization with configs Phase 3 – VPS deployment + security Phase 4 – Documentation for updates Technology Choices : Python: API/control layer Open-source LLM runtime: flexibility Docker: consistent deployment Linux tools: monitoring + control Reporting & Communication : Weekly updates, milestone updates, final documentation. Questions : Laptop/VPS specs? GPU or CPU-only setup? Single-user or shared access? Any auth/security requirements? Preferred models or open to suggestions? Best regards, Chirag

@subodhb9

Hello, I am Subodh Barman. I have expertise in linux Cloud and some sort of python. I have 8 years of experience in IT Field. I understood your requirement and would like to tell you that I have done similar projects in my past experience. I ensure you that I can complete the installation in your local system and in the VPS through container and provide the document of flow's regarding the work of all after your satisfactions from your need. I appreciate you acknowledging my expertise in Linux and AWS, as well as my proficiency with Python. Over the course of my eight-year career, I have successfully executed various deployments similar to your LLM/self-hosting requirement. With that experience in mind, I can assure you a well-structured installation process both for your local system and VPS-based setup through secure containerization.

@brefiputra

Halo, saya menawarkan jasa admin sosial media untuk bantu kelola akun kamu agar lebih aktif dan menarik. Saya bisa handle posting, balas DM/komentar, dan bantu bikin konten sederhana. Dengan pengelolaan yang konsisten, engagement akun bisa meningkat. Kalau tertarik, boleh kita diskusi lebih lanjut