Merge pull request #17 from outis1one/claude/bios-vt-power-settings-mxjh0x
Claude/bios vt power settings mxjh0x
This commit is contained in:
@@ -1948,7 +1948,16 @@ IMPORTANT: Pass the GPU + its HDMI audio sibling to the same VM.
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**Write down or copy this address** — you need it in Phase 11 when
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**Write down or copy this address** — you need it in Phase 11 when
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creating the VMs. In this example:
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creating the VMs. In this example:
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- GPU is at `04:00` → goes in VM 100 (Frigate)
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- GPU is at `04:00` → goes in VM 101 (Desktop/Media)
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> **Why not Frigate?** The Coral TPU handles all object detection. Frigate
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> only uses the GPU for hardware video decode (NVDEC) — useful but not
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> critical. With dual Xeons the R730xd has plenty of CPU headroom for software
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> decode. Giving the GPU to the desktop VM unlocks Jellyfin transcoding,
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> HandBrake encoding, and general GPU acceleration where it's more valuable.
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> If Frigate's CPU decode becomes a bottleneck later, add a cheap ewaste GPU
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> (GT 1030, GTX 1050 Ti, or Quadro P400/P600 — all under $50 used) and pass
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> that to VM 100 instead.
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---
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---
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@@ -2183,31 +2192,9 @@ Click **Next**.
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Click **Next**, then **Finish**.
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Click **Next**, then **Finish**.
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VM 100 now appears in the left panel. **Do not start it yet** — the GPU, Coral
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VM 100 now appears in the left panel. **Do not start it yet** — the Coral
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USB, and data drives must be added first.
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USB and data drives must be added first. VM 100 (Frigate) runs without a GPU —
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the Coral handles detection and the CPU handles video decode.
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---
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### Step 11.4 — Add GPU passthrough to VM 100
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In the left panel, click **100 (frigate)** → **Hardware** tab.
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Click **Add** → **PCI Device**.
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| Field | Value |
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|-------|-------|
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| Raw Device | select the GPU from the dropdown (shows PCI address + model name) |
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| All Functions | **checked** |
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| Primary GPU | **checked** |
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| PCI-Express | **checked** |
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> **All Functions** passes both `04:00.0` (VGA) and `04:00.1` (HDMI audio) as
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> a unit. Without it the audio sibling stays on the host.
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> **Primary GPU** (`x-vga=1` in the config) tells the VM this is its display
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> adapter. Required for console output in the guest before GPU drivers load.
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Click **Add**.
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---
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---
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@@ -2301,6 +2288,23 @@ qm set <vmid> -usb0 host=2-1 # bus-port notation from lsusb -t
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- To see what's currently passed through: `grep usb /etc/pve/qemu-server/<vmid>.conf`
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- To see what's currently passed through: `grep usb /etc/pve/qemu-server/<vmid>.conf`
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- To remove a device: `qm set <vmid> -delete usb0`
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- To remove a device: `qm set <vmid> -delete usb0`
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**USB optical drives:**
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Pass a USB optical drive to VM 101 (Desktop) for ripping with MakeMKV or
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HandBrake. Use **Method B (by port)** rather than by vendor/device ID — some
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optical drives briefly re-enumerate when a disc spins up, which can cause the
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device to drop and reconnect if bound by ID.
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```bash
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# Find the port your drive is on:
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lsusb -t
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# Then pass it to VM 101:
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qm set 101 -usb1 host=<bus>-<port> # e.g. host=2-3
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```
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Inside VM 101 the drive appears as `/dev/sr0`. MakeMKV and HandBrake will
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find it automatically.
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---
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---
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### Step 11.6 — Add raw data drives to VM 100 via CLI
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### Step 11.6 — Add raw data drives to VM 100 via CLI
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@@ -2347,7 +2351,7 @@ scsi8: /dev/disk/by-id/scsi-35000cca23bab1234,size=0
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---
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---
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### Step 11.7 — Create VM 101 (Ubuntu Desktop, no GPU)
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### Step 11.7 — Create VM 101 (Ubuntu Desktop + GPU)
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Click **Create VM** in the web UI.
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Click **Create VM** in the web UI.
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@@ -2359,10 +2363,22 @@ Click **Create VM** in the web UI.
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| Memory | 16384 MiB |
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| Memory | 16384 MiB |
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| Disk | 64 GiB on local-lvm |
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| Disk | 64 GiB on local-lvm |
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No GPU, no Coral USB — the single GPU is already assigned to VM 100.
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After the wizard completes, add the GPU in the **Hardware** tab:
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> VM 101 uses Ubuntu Desktop for a full GUI environment accessible via
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Click **Add** → **PCI Device**.
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> Proxmox's noVNC console or RDP.
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| Field | Value |
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|-------|-------|
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| Raw Device | select the GPU from the dropdown |
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| All Functions | **checked** |
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| Primary GPU | **checked** |
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| PCI-Express | **checked** |
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Click **Add**.
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> VM 101 gets the GPU for Jellyfin transcoding, HandBrake encoding, and
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> general desktop GPU acceleration. Accessible via Proxmox noVNC console
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> or RDP once Ubuntu Desktop is installed.
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Add the two data drives via CLI:
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Add the two data drives via CLI:
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@@ -2483,8 +2499,8 @@ Leave the large data drives untouched — they are for you to configure later.
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| What is done | Status |
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| What is done | Status |
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| Ubuntu Server 24.04.4 and Desktop 24.04.4 ISOs uploaded to Proxmox | ✓ |
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| Ubuntu Server 24.04.4 and Desktop 24.04.4 ISOs uploaded to Proxmox | ✓ |
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| VM 100 created: GPU, Coral USB (×2), 8 raw data drives | ✓ |
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| VM 100 created: Coral USB (×2), 8 raw data drives, CPU decode | ✓ |
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| VM 101 created: no GPU, 2 raw data drives | ✓ |
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| VM 101 created: GPU, 2 raw data drives | ✓ |
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| VM 102 created: 2 raw data drives, no GPU | ✓ |
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| VM 102 created: 2 raw data drives, no GPU | ✓ |
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| Ubuntu installed and SSH accessible in all three VMs | ✓ |
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| Ubuntu installed and SSH accessible in all three VMs | ✓ |
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@@ -2492,13 +2508,17 @@ Leave the large data drives untouched — they are for you to configure later.
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## Phase 12 — Deploy Frigate in VM 100
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## Phase 12 — Deploy Frigate in VM 100
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**What this phase does:** Installs the NVIDIA driver and Docker inside VM 100,
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**What this phase does:** Installs Docker inside VM 100, creates a ZFS
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creates a ZFS storage pool from the 8 data drives, then deploys Frigate NVR
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storage pool from the 8 data drives, and deploys Frigate NVR with Coral
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with GPU-accelerated video decode and Coral object detection.
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TPU object detection and CPU video decode.
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> **No GPU in VM 100.** The Coral handles all AI inference. Frigate uses
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> CPU decode for camera streams — perfectly adequate on dual Xeons. If you
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> later add a second GPU and pass it to VM 100, enable NVDEC in
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> `frigate/config.yml` under `ffmpeg.hwaccel_args`.
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**Prerequisites:**
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**Prerequisites:**
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- VM 100 running Ubuntu Server 24.04.4 with SSH access (Phase 11)
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- VM 100 running Ubuntu Server 24.04.4 with SSH access (Phase 11)
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- NVIDIA GPU passed through (PCIe device visible in guest)
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- Google Coral USB passed through (USB device visible in guest)
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- Google Coral USB passed through (USB device visible in guest)
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- 8 raw data drives visible as block devices inside the VM
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- 8 raw data drives visible as block devices inside the VM
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- Frigate config files from this repo (`frigate/docker-compose.yml` and
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- Frigate config files from this repo (`frigate/docker-compose.yml` and
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@@ -2517,90 +2537,30 @@ sudo -i
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---
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---
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### Step 12.2 — Verify the GPU is visible
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### Step 12.2 — Verify the Coral USB is visible
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```bash
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```bash
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lspci | grep -i nvidia
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lsusb | grep -i "1a6e\|18d1"
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```
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```
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Expected:
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Expected (one or both IDs depending on firmware load state):
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```
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```
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06:10.0 VGA compatible controller: NVIDIA Corporation GP106GL [Quadro P2200] (rev a1)
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Bus 001 Device 003: ID 1a6e:089a Global Unichip Corp.
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06:10.1 Audio device: NVIDIA Corporation GP106 High Definition Audio Controller (rev a1)
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Bus 001 Device 004: ID 18d1:9302 Google Inc.
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```
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```
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> **The PCI address inside the VM (e.g. `06:10.0`) will differ from the host
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If neither appears, check that `usb0` and `usb1` are set correctly in
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> address (`04:00.0`).** QEMU re-numbers the virtual PCIe bus. This is normal.
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`/etc/pve/qemu-server/100.conf` on the Proxmox host and that the Coral
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is physically plugged in.
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If neither device appears, check that `hostpci0` is set correctly in
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> **If you later add a second GPU to VM 100** for hardware decode, install
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`/etc/pve/qemu-server/100.conf` on the Proxmox host, and that Phase 10
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> the NVIDIA driver (`apt install -y nvidia-driver-535`), reboot, verify
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completed successfully (GPU showing `vfio-pci` on the host).
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> with `nvidia-smi`, then enable hwaccel in `frigate/config.yml`.
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---
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---
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### Step 12.3 — Install the NVIDIA driver
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### Step 12.3 — Install Docker
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```bash
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apt update
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apt install -y nvidia-driver-535
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```
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This installs the driver and all required kernel modules. Takes 2–4 minutes.
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> If the installer asks about Secure Boot MOK (Machine Owner Key), press OK
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> to dismiss — Secure Boot is off in this VM (pre-enrolled-keys was unchecked
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> in Phase 11), so the prompt has no effect.
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Reboot the VM to load the driver:
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```bash
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reboot
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```
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SSH back in after ~30 seconds:
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```bash
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ssh ubuntu@192.168.1.XXX
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sudo -i
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```
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---
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### Step 12.4 — Verify nvidia-smi
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```bash
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nvidia-smi
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```
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Expected output:
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```
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+-----------------------------------------------------------------------------------------+
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| NVIDIA-SMI 535.xxx.xx Driver Version: 535.xxx.xx CUDA Version: 12.x |
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|-----------------------------------------+------------------------+----------------------|
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| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
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|=========================================+========================+======================|
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| 0 Quadro P2200 Off | 00000000:06:10.0 Off | N/A |
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| 41% 42C P8 10W / 75W | 0MiB / 5120MiB | 0% Default |
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+-----------------------------------------------------------------------------------------+
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```
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Key things to verify:
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- **Driver Version: 535.xxx.xx** — driver loaded
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- GPU model matches your installed card
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- **5120 MiB** — full 5 GB memory visible (not a partial amount)
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If `nvidia-smi` returns `No devices were found`:
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```bash
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dmesg | grep -i nvidia | tail -20
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```
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Look for Secure Boot signature errors. If present, confirm `pre-enrolled-keys=0`
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in the VM's `efidisk0` line in Proxmox.
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---
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### Step 12.5 — Install Docker
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```bash
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```bash
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curl -fsSL https://get.docker.com | sh
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curl -fsSL https://get.docker.com | sh
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@@ -2625,47 +2585,7 @@ systemctl enable docker
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---
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---
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### Step 12.6 — Install NVIDIA Container Toolkit
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### Step 12.4 — Verify Coral USB
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This allows Docker containers to access the GPU. Without it Frigate cannot use
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the GPU for hardware video decode.
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```bash
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curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey \
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curl -s -L https://nvidia.github.io/libnvidia-container/stable/deb/nvidia-container-toolkit.list \
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| sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' \
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| tee /etc/apt/sources.list.d/nvidia-container-toolkit.list
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apt update
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apt install -y nvidia-container-toolkit
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nvidia-ctk runtime configure --runtime=docker
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systemctl restart docker
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```
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Expected output from `nvidia-ctk`:
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```
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INFO Configured /etc/docker/daemon.json
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```
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---
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### Step 12.7 — Test GPU access in Docker
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```bash
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docker run --rm --runtime=nvidia --gpus all ubuntu nvidia-smi
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```
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Expected: the same `nvidia-smi` table from Step 12.4, now running inside a
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container. If you see `Error: no runtime "nvidia"`, run
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`systemctl restart docker` and try again.
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---
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### Step 12.8 — Verify Coral USB
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```bash
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```bash
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lsusb
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lsusb
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@@ -2689,7 +2609,7 @@ the R730xd.
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---
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---
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### Step 12.9 — Create the ZFS storage pool
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### Step 12.5 — Create the ZFS storage pool
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Check which block devices are the data drives (the large ones — not the 64 GB
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Check which block devices are the data drives (the large ones — not the 64 GB
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OS disk):
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OS disk):
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@@ -2769,7 +2689,7 @@ With 8 × 4TB drives in RAIDZ2, expect roughly 22–24 TB usable.
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---
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---
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### Step 12.10 — Get the Frigate config files
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### Step 12.6 — Get the Frigate config files
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||||||
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Clone the repo into the VM:
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Clone the repo into the VM:
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@@ -2787,7 +2707,7 @@ cp /opt/local_proxmox/frigate/config.yml /opt/frigate/
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---
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---
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### Step 12.11 — Edit docker-compose.yml
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### Step 12.7 — Edit docker-compose.yml
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||||||
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```bash
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```bash
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nano /opt/frigate/docker-compose.yml
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nano /opt/frigate/docker-compose.yml
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@@ -2811,7 +2731,7 @@ Save: **Ctrl+O**, Enter, **Ctrl+X**.
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---
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---
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||||||
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### Step 12.12 — Edit config.yml and add your cameras
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### Step 12.8 — Edit config.yml and add your cameras
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||||||
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```bash
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```bash
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nano /opt/frigate/config.yml
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nano /opt/frigate/config.yml
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@@ -2840,12 +2760,11 @@ Common RTSP path formats by brand:
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| Reolink | `rtsp://user:{password}@IP/h264Preview_01_main` |
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| Reolink | `rtsp://user:{password}@IP/h264Preview_01_main` |
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| Amcrest | `rtsp://user:{password}@IP/cam/realmonitor?channel=1&subtype=0` |
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| Amcrest | `rtsp://user:{password}@IP/cam/realmonitor?channel=1&subtype=0` |
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For H.265 cameras, uncomment the per-camera hwaccel override:
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> **If you later add a GPU to VM 100:** enable hardware decode per camera:
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||||||
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> ```yaml
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```yaml
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> ffmpeg:
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ffmpeg:
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> hwaccel_args: preset-nvidia-h265 # or preset-nvidia-h264
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hwaccel_args: preset-nvidia-h265
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> ```
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```
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To add more cameras, duplicate the entire `front_door:` block (including
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To add more cameras, duplicate the entire `front_door:` block (including
|
||||||
indentation) and change the name and IP.
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indentation) and change the name and IP.
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||||||
@@ -2854,7 +2773,7 @@ Save: **Ctrl+O**, Enter, **Ctrl+X**.
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|||||||
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||||||
---
|
---
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||||||
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|
||||||
### Step 12.13 — Start Frigate
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### Step 12.9 — Start Frigate
|
||||||
|
|
||||||
```bash
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```bash
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cd /opt/frigate
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cd /opt/frigate
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||||||
@@ -2875,14 +2794,14 @@ A successful start looks like:
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|||||||
```
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```
|
||||||
frigate | [INFO] Starting Frigate...
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frigate | [INFO] Starting Frigate...
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||||||
frigate | [INFO] Connected to EdgeTPU device: usb
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frigate | [INFO] Connected to EdgeTPU device: usb
|
||||||
frigate | [INFO] Loading NVIDIA GPU: <your GPU model>
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frigate | [INFO] Loading Coral Edge TPU
|
||||||
frigate | [INFO] Starting camera: front_door
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frigate | [INFO] Starting camera: front_door
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frigate | [INFO] Frigate is running
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frigate | [INFO] Frigate is running
|
||||||
```
|
```
|
||||||
|
|
||||||
Key lines:
|
Key lines:
|
||||||
- **Connected to EdgeTPU device: usb** — Coral detected, inference running
|
- **Connected to EdgeTPU device: usb** — Coral detected, inference running
|
||||||
- **Loading NVIDIA GPU** — NVDEC hardware decode active
|
- **Loading Coral Edge TPU** — Coral inference active
|
||||||
- **Starting camera: [name]** — stream connected
|
- **Starting camera: [name]** — stream connected
|
||||||
|
|
||||||
Press **Ctrl+C** to stop following logs. Frigate continues running in the
|
Press **Ctrl+C** to stop following logs. Frigate continues running in the
|
||||||
@@ -2902,7 +2821,7 @@ background.
|
|||||||
|
|
||||||
---
|
---
|
||||||
|
|
||||||
### Step 12.14 — Access the Frigate web UI
|
### Step 12.10 — Access the Frigate web UI
|
||||||
|
|
||||||
In a browser on your workstation:
|
In a browser on your workstation:
|
||||||
|
|
||||||
@@ -2912,9 +2831,9 @@ http://192.168.1.XXX:5000
|
|||||||
|
|
||||||
The Frigate dashboard shows live camera feeds, detection events, and system
|
The Frigate dashboard shows live camera feeds, detection events, and system
|
||||||
stats. Navigate to **System → Stats** to confirm:
|
stats. Navigate to **System → Stats** to confirm:
|
||||||
- GPU utilization is shown (your GPU model)
|
|
||||||
- Coral inference is running
|
- Coral inference is running
|
||||||
- CPU usage is low (NVDEC handling decode, Coral handling detection)
|
- CPU usage is moderate (software decode) — add a GPU later to reduce it
|
||||||
|
|
||||||
---
|
---
|
||||||
|
|
||||||
@@ -2922,11 +2841,10 @@ stats. Navigate to **System → Stats** to confirm:
|
|||||||
|
|
||||||
| What is done | Status |
|
| What is done | Status |
|
||||||
|---|---|
|
|---|---|
|
||||||
| NVIDIA driver 535 installed, verified with nvidia-smi | ✓ |
|
|
||||||
| Docker and NVIDIA Container Toolkit configured | ✓ |
|
| Docker and NVIDIA Container Toolkit configured | ✓ |
|
||||||
| GPU accessible inside Docker containers | ✓ |
|
| GPU accessible inside Docker containers | ✓ |
|
||||||
| ZFS RAIDZ2 pool created from 8 data drives | ✓ |
|
| ZFS RAIDZ2 pool created from 8 data drives | ✓ |
|
||||||
| Frigate running with NVDEC decode and Coral inference | ✓ |
|
| Frigate running with Coral inference and CPU decode | ✓ |
|
||||||
| Cameras configured in config.yml | ✓ |
|
| Cameras configured in config.yml | ✓ |
|
||||||
| Web UI accessible at http://vm100-ip:5000 | ✓ |
|
| Web UI accessible at http://vm100-ip:5000 | ✓ |
|
||||||
|
|
||||||
@@ -2939,8 +2857,8 @@ stats. Navigate to **System → Stats** to confirm:
|
|||||||
| Hardware | Dell R730xd, PERC H730, 12 drives, NVIDIA GPU, Coral USB | ✓ |
|
| Hardware | Dell R730xd, PERC H730, 12 drives, NVIDIA GPU, Coral USB | ✓ |
|
||||||
| Proxmox host | IOMMU active, GPU held by vfio-pci | ✓ |
|
| Proxmox host | IOMMU active, GPU held by vfio-pci | ✓ |
|
||||||
| Services | fan-control (quiet fans), stagger-spinup (PSU protection) | ✓ |
|
| Services | fan-control (quiet fans), stagger-spinup (PSU protection) | ✓ |
|
||||||
| VM 100 | Ubuntu Server 24.04.4, GPU passthrough, 8 drives, Frigate NVR | ✓ |
|
| VM 100 | Ubuntu Server 24.04.4, Coral TPU, 8 drives, Frigate NVR (CPU decode) | ✓ |
|
||||||
| VM 101 | Ubuntu Desktop 24.04.4, no GPU, 2 drives | ready |
|
| VM 101 | Ubuntu Desktop 24.04.4, GPU passthrough, 2 drives | ready |
|
||||||
| VM 102 | Ubuntu Server 24.04.4, 2 drives | ready |
|
| VM 102 | Ubuntu Server 24.04.4, 2 drives | ready |
|
||||||
|
|
||||||
---
|
---
|
||||||
@@ -2993,7 +2911,7 @@ perccli /c0 /eall /sall show
|
|||||||
# State should be "JBOD" or "UGood" — not "Offln" or "Msng"
|
# State should be "JBOD" or "UGood" — not "Offln" or "Msng"
|
||||||
```
|
```
|
||||||
|
|
||||||
### nvidia-smi: No devices were found (in guest VM)
|
### nvidia-smi: No devices were found (in VM 101)
|
||||||
|
|
||||||
```bash
|
```bash
|
||||||
# Check dmesg in the guest:
|
# Check dmesg in the guest:
|
||||||
|
|||||||
Reference in New Issue
Block a user