# 🎙️ Project Summary: Self-Hosted High-Performance AI Assistant

### 🎯 The Ultimate Goal
To build a fully local, privacy-focused smart speaker/home automation engine that uses high-end hardware to achieve near-instantaneous response times (low latency) without relying on cloud-based processing.

### 🏗️ The Software Pipeline (The "Stack")
1.  **Wake Word Detection:** Porcupine/Picovoice (Running on CPU, acting as the gatekeeper).
2.  **ASR (Speech-to-Text):** `faster-whisper` (Running on **RTX 3080 Ti via CUDA** for high-speed transcription).
3.  **NLU (The Brain):** Local LLM via **O/llama** (e.g., Llama 3 or Mistral) to parse intent from text into JSON commands.
4.  **Execution Layer:** **Home Assistant** (Receiving JSON webhooks to trigger physical smart home devices).

### 🖥️ The Hardware & Infrastructure
*   **Host Hypervisor:** Proxmox VE.
*   **Physical Resources:** 32GB System RAM, NVIDIA RTX 3080 Ti (12GB VRAM), Intel CPU with VT-d enabled.
*   **The "Brain" VM Configuration:**
    *   **OS:** Ubuntu 24.04 LTS (Regular version).
    *   **CPU:** 1 Socket, 4 Cores, **Type: Host** (Crucial for AI instructions).
    *   **Memory:** 16GB RAM, **KSM and Ballooning disabled** (To ensure stability and prevent latency jitter).
    *   **Storage:** VirtIO SCSI Single controller using `io_uring` for high-performance asynchronous I/O.
    *   **GPU Passthrough:** Completed. The GPU is isolated from Proxmox using `vfio-pci` (bypassing the `nouveau` driver) and passed directly to the Ubuntu VM.
    *   **Networking:** VirtIO (paravirtualized) for low-latency communication.

### 🚩 Current Progress & Status
*   [x] Proxmox IOMMU/VT-d configuration finalized.
*   [x] GPU Isolation and VFIO configuration completed.
*   [x] Ubuntu VM creation and storage architecture (LVM) finalized.
*   [x] Ubuntu installation completed.
*   [ ] **CURRENT TASK:** Post-install "Day Zero" tasks: SSH access, system updates, and installing NVIDIA Drivers + Docker + NVIDIA Container Toolkit.

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