75ba9f005a
User-approved promotions from the prior compile's proposal list. pbs-hub-mcp deferred per user. Wiki domain indexes updated to list the new entities; Sources left untouched (MCP-written/immutable). Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
40 lines
1.8 KiB
Markdown
40 lines
1.8 KiB
Markdown
---
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type: entity
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path: Wiki/Dev
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tags:
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- workstation
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- python
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created: 2026-05-24
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updated: 2026-05-24
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---
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# herbyeos
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## What it is
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herbyeos is Travis's primary local **dev tower** — an EndeavourOS (Arch-based, rolling-release) workstation with an i7, 128 GB RAM, and an RTX 3080 Ti. It's the heavy-iron rig for GPU and fast-iteration work, distinct from [[Wiki/Dev/herbydev|herbydev]] (the Proxmox dev *VM*). When a project says "on the tower" — Jupyter ML drills, DaVinci Resolve, local model experiments — it means herbyeos.
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## Current state
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Active workstation. Recent/known uses:
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- **DaVinci Resolve Studio 20.3.3** installed via the sheridans GitHub PKGBUILD (bundled-libs approach, chosen for resilience across `pacman -Syu` rolling updates) rather than the AUR package
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- **ML/AI drills** — the planned `ml-drills-curriculum` runs Python + Jupyter here for fast iteration on the RTX 3080
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- Rolling-release means the standing gotcha is post-update library drift (e.g., Resolve's glib/pango conflicts → `LD_PRELOAD` workaround)
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## Where it lives
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- Physical tower on Travis's desk (EndeavourOS); GPU: RTX 3080 Ti
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- Not a Proxmox guest — bare-metal workstation
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## Related projects
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- [[Sources/Homelab/davinci-resolve-studio-install|davinci-resolve-studio-install]] — Resolve Studio install (project plan)
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- [[Sources/Homelab/2026-05-24-davinci-resolve-studio-install|2026-05-24-davinci-resolve-studio-install]] — install session notes
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- [[Sources/Dev/ml-drills-curriculum|ml-drills-curriculum]] — Jupyter ML drills on the tower
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- [[Wiki/Dev/herbydev|herbydev]] — the Proxmox dev VM (distinct machine)
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## History
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- **2026-05-24** — DaVinci Resolve Studio 20.3.3 installed (sheridans PKGBUILD, bundled libs)
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- **2026-05** — Designated the Jupyter/RTX-3080 host for the ML drills curriculum
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