🔴 Project Odysseus - Initial Install

PewDiePie's Project Odysseus promises a slick all-in-one front end for running local LLMs — but what does setup actually look like if you're not running four RTX 6000 Pros? We find out live. I'm running an Intel Arc Pro B70 (32GB VRAM, ~$1,000) and taking Odysseus from a fresh clone all the way to a working local AI assistant — hitting every GPU detection failure, broken dependency, and syscl build error along the way. By the end of the stream we have Qwen 3 35B-A3B (MoE, Q5) running locally through llama.cpp with SYCL backend, wired into Odysseus, and doing real deep-research tasks — including drafting a port plan for DankMaterialShell from Wayland to X11. ▶ What we cover: Hardware reality check — what you actually need vs. what Pewds used (~$40K in RTX 6000 Pros) Native vs. Docker install (and why Intel GPU users need native) Building llama.cpp from source with Intel SYCL/oneAPI backend GPU detection bug in Odysseus + open PR walkthrough Picking and downloading the right Qwen 3 model for 32GB VRAM Context sizing math — hitting 128K context on a Q5 quant Writing a systemd service to auto-launch llama-server SearXNG integration + Context7 MCP setup Deep research demo: porting a Wayland shell to X11 Wayland vs. X11 window manager rant (RIP MangoWM) ⚡ For most people: if you have a high-end NVIDIA card, just use the Docker install and you'll be up in ~30 min. Intel/AMD users, buckle up. 📖 The Linux Desktop Guide (physical book): https://christitus.com 🛠 WinUtil: https://github.com/ChrisTitusTech/win... 🐧 Linutil: https://github.com/ChrisTitusTech/lin... 🔴 Stream schedule: Mon / Tue / Thu 💬 Community forum: https://forum.christitus.com #Linux #LocalAI #LLM #ProjectOdysseus #IntelArc #llamacpp #Qwen 00:00 Intro & hardware reality 01:54 Intel B70 overview 03:27 Project Odysseus overview 06:54 Native vs. Docker decision 08:50 PewDiePie's $40K GPU build 11:31 Cloning & installing Odysseus 18:30 Install complete 22:14 GPU not detected 26:34 Intel support bug & PR 31:33 Building llama.cpp from source 37:44 Reinstalling oneAPI toolkit 42:45 SYCL AUR package attempt 53:20 Build finally succeeds 58:08 What we learned so far 1:05:14 DistroBox attempt fails 1:12:02 Back to native approach 1:17:18 Full clean rebuild 1:28:46 Past-Chris saves the day 1:40:07 Llama server running 1:51:13 Odysseus connected 1:53:31 First AI test 1:54:40 Deep research demo 2:06:18 PewDiePie 200 IQ moment 2:09:27 Downloading Qwen 3 35B 2:26:47 128K context confirmed 2:29:25 Qwen 3 live in Odysseus 2:30:50 Systemd service with AI 2:56:40 Full system working 2:57:44 SearXNG integration 2:59:32 MCP server setup 3:08:28 Wrap-up & next stream ►► Digital Downloads ➜ https://www.cttstore.com ►► Patreon ➜   / christitustech   ►► Twitch ➜   / christitustech   ►► Music by: CreatorMix.com