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Self-host Qwen3.8-27B LLM on Oracle Cloud with custom domain

By PulseAugur Editorial · [1 sources] ·

This guide details how to self-host the Qwen3.8-27B-Uncensored LLM on an Oracle Cloud VM, providing an OpenAI-compatible API and a web chat interface. The process involves setting up the model with llama.cpp, configuring Caddy for HTTPS and domain integration, and troubleshooting common issues like Cloudflare proxy settings and Let's Encrypt rate limits. The guide emphasizes using a powerful VM beyond Oracle's Always Free tier for adequate performance, noting that CPU-only inference yields approximately 4.5 tokens/s for generation. AI

IMPACT Enables users to run and integrate custom LLMs with existing tools, offering more control over AI deployments.

RANK_REASON Guide on self-hosting an LLM using specific cloud and software tools.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Self-host Qwen3.8-27B LLM on Oracle Cloud with custom domain

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28 / 100
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Guide on self-hosting an LLM using specific cloud and software tools.
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product, infra
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Janak Shrestha ·

    Self-Host a Qwen3.8-27B-Uncensored LLM on Oracle Cloud with Your Own Domain and integrate with AI coding agents

    <p>Oracle Cloud gave me the 1 month trial server, <strong>llama.cpp</strong> gave me the model server, and <strong>Caddy</strong> handled HTTPS. It sounds simple, but I lost hours to a Cloudflare proxy setting, two layers of firewalls and a Let's Encrypt rate limit. This post is …

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