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feat: deteccion de GPU NVIDIA y aceleracion automatica (#16)

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Co-authored-by: Hermes Agent <hermes@d0a1.es>
This commit was merged in pull request #16.
This commit is contained in:
hermes authored and Hermes committed 2026-09-12 21:33:43 +02:00
1 parent 6f052cf738
commit fbf567f942
4 files changed
+72 -4
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hermes/deploy.ps1
+16 -1
View File
@@ -83,6 +83,19 @@ Ok "RAM: $TotalRamGb GB"
# --- Tumbar deploy previo (antes de detectar puertos) -----------------------
cmd /c docker rm -f d0a1-hermes-ollama '>' NUL '2>&1'
# --- GPU NVIDIA? (si hay, Ollama la usa y va 5-10x mas rapido) ---------------
$HasGpu = $false
if (Get-Command nvidia-smi -ErrorAction SilentlyContinue) {
$GpuInfo = & nvidia-smi --query-gpu=name,memory.total --format=csv,noheader 2>$null
if ($LASTEXITCODE -eq 0 -and $GpuInfo) {
$HasGpu = $true
$GpuName = ($GpuInfo -split ',')[0].Trim()
Info "GPU NVIDIA detectada: $GpuName (aceleracion activada)"
}
}
if (-not $HasGpu) {
Warn 'Sin GPU NVIDIA: modo CPU (~10-20 tokens/s). Con una GPU NVIDIA va 5-10x mas rapido.'
}
# --- Auto-detect Ollama port ------------------------------------------------
$OllamaPort = Find-FreePort 11434
@@ -101,7 +114,9 @@ Write-Host ''
Warn '[1/3] Arrancando Ollama (IA local)...'
$running = docker ps --format '{{.Names}}' | Select-String -Quiet 'd0a1-hermes-ollama'
if (-not $running) {
docker run -d --name d0a1-hermes-ollama --memory 6g `
$GpuArgs = @()
if ($HasGpu) { $GpuArgs = @('--gpus', 'all') }
docker run -d --name d0a1-hermes-ollama --memory 6g @GpuArgs `
-p "${OllamaPort}:11434" `
-v d0a1_hermes_ollama:/root/.ollama `
-e OLLAMA_HOST=0.0.0.0 `
openclaw/deploy.ps1
+16 -1
View File
@@ -83,6 +83,19 @@ Ok "RAM: $TotalRamGb GB"
# --- Tumbar deploy previo (antes de detectar puertos) -----------------------
cmd /c docker rm -f d0a1-openclaw-ollama '>' NUL '2>&1'
# --- GPU NVIDIA? (si hay, Ollama la usa y va 5-10x mas rapido) ---------------
$HasGpu = $false
if (Get-Command nvidia-smi -ErrorAction SilentlyContinue) {
$GpuInfo = & nvidia-smi --query-gpu=name,memory.total --format=csv,noheader 2>$null
if ($LASTEXITCODE -eq 0 -and $GpuInfo) {
$HasGpu = $true
$GpuName = ($GpuInfo -split ',')[0].Trim()
Info "GPU NVIDIA detectada: $GpuName (aceleracion activada)"
}
}
if (-not $HasGpu) {
Warn 'Sin GPU NVIDIA: modo CPU (~10-20 tokens/s). Con una GPU NVIDIA va 5-10x mas rapido.'
}
# --- Auto-detect Ollama port ------------------------------------------------
$OllamaPort = Find-FreePort 11434
@@ -101,7 +114,9 @@ Write-Host ''
Warn '[1/3] Arrancando Ollama (IA local)...'
$running = docker ps --format '{{.Names}}' | Select-String -Quiet 'd0a1-openclaw-ollama'
if (-not $running) {
docker run -d --name d0a1-openclaw-ollama --memory 6g `
$GpuArgs = @()
if ($HasGpu) { $GpuArgs = @('--gpus', 'all') }
docker run -d --name d0a1-openclaw-ollama --memory 6g @GpuArgs `
-p "${OllamaPort}:11434" `
-v d0a1_openclaw_ollama:/root/.ollama `
-e OLLAMA_HOST=0.0.0.0 `
openwebui/deploy.ps1
+20 -1
View File
@@ -91,6 +91,19 @@ Ok "RAM: $TotalRamGb GB"
# los puertos para que Find-FreePort vea el estado REAL tras el down.
cmd /c docker compose -f $ComposeFile down '>' NUL '2>&1'
# --- GPU NVIDIA? (si hay, Ollama la usa y va 5-10x mas rapido) ---------------
$HasGpu = $false
if (Get-Command nvidia-smi -ErrorAction SilentlyContinue) {
$GpuInfo = & nvidia-smi --query-gpu=name,memory.total --format=csv,noheader 2>$null
if ($LASTEXITCODE -eq 0 -and $GpuInfo) {
$HasGpu = $true
$GpuName = ($GpuInfo -split ',')[0].Trim()
Info "GPU NVIDIA detectada: $GpuName (aceleracion activada)"
}
}
if (-not $HasGpu) {
Warn 'Sin GPU NVIDIA: modo CPU (~10-20 tokens/s). Con una GPU NVIDIA va 5-10x mas rapido.'
}
# --- Auto-detect ports ----------------------------------------------------
$OllamaPort = Find-FreePort 11434
$WebUiPort = Find-FreePort 3000
@@ -124,7 +137,13 @@ Write-Host ''
Warn 'Descargando contenedores (2-3 min la primera vez)...'
$env:OLLAMA_PORT = "$OllamaPort"
$env:WEBUI_PORT = "$WebUiPort"
docker compose -f $ComposeFile up -d
$ComposeArgs = @('-f', $ComposeFile)
if ($HasGpu) {
$OverrideFile = Join-Path $ScriptDir 'docker-compose.gpu.yml'
Set-Content -Path $OverrideFile -Value "services:`r`n ollama:`r`n gpus: all`r`n"
$ComposeArgs += @('-f', $OverrideFile)
}
docker compose @ComposeArgs up -d
if ($LASTEXITCODE -ne 0) { Err "docker compose up fallo (exit $LASTEXITCODE)."; exit 1 }
# --- Pull model -------------------------------------------------------------
wordpress/deploy.ps1
+20 -1
View File
@@ -119,6 +119,19 @@ if (-not (Test-Path $EnvFile)) {
Info "Contrasenas generadas en $EnvFile"
}
# --- GPU NVIDIA? (si hay, Ollama la usa y va 5-10x mas rapido) ---------------
$HasGpu = $false
if (Get-Command nvidia-smi -ErrorAction SilentlyContinue) {
$GpuInfo = & nvidia-smi --query-gpu=name,memory.total --format=csv,noheader 2>$null
if ($LASTEXITCODE -eq 0 -and $GpuInfo) {
$HasGpu = $true
$GpuName = ($GpuInfo -split ',')[0].Trim()
Info "GPU NVIDIA detectada: $GpuName (aceleracion activada)"
}
}
if (-not $HasGpu) {
Warn 'Sin GPU NVIDIA: modo CPU (~10-20 tokens/s). Con una GPU NVIDIA va 5-10x mas rapido.'
}
# --- Auto-detect ports ----------------------------------------------------
# --- Tumbar deploy previo (antes de detectar puertos) ----------------------
cmd /c docker compose -f $ComposeFile down '>' NUL '2>&1'
@@ -161,7 +174,13 @@ cmd /c docker compose -f $ComposeFile down '>' NUL '2>&1'
$env:OLLAMA_PORT = "$OllamaPort"
$env:WP_PORT = "$WpPort"
$env:WEBUI_PORT = "$WebUiPort"
docker compose -f $ComposeFile up -d
$ComposeArgs = @('-f', $ComposeFile)
if ($HasGpu) {
$OverrideFile = Join-Path $ScriptDir 'docker-compose.gpu.yml'
Set-Content -Path $OverrideFile -Value "services:`r`n ollama:`r`n gpus: all`r`n"
$ComposeArgs += @('-f', $OverrideFile)
}
docker compose @ComposeArgs up -d
if ($LASTEXITCODE -ne 0) { Err "docker compose up fallo (exit $LASTEXITCODE)."; exit 1 }
# --- Pull model -------------------------------------------------------------