feat(krz01): add a NGINX in front of ollama protected by password
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This way, you can do direct requests to ollama from other places. Signed-off-by: Ryan Lahfa <ryan@dgnum.eu>
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parent
7d70beb1f0
commit
d76e655174
2 changed files with 33 additions and 8 deletions
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@ -12,11 +12,11 @@ lib.extra.mkConfig {
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enabledServices = [
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# INFO: This list needs to stay sorted alphabetically
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# Machine learning API machine
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"microvm-ml01"
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"microvm-router01"
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"nvidia-tesla-k80"
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"proxmox"
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# Machine learning API machine
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"microvm-ml01"
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];
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extraConfig = {
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@ -57,12 +57,29 @@ lib.extra.mkConfig {
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];
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}))
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];
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services.ollama = {
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enable = true;
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package = pkgs.callPackage ./ollama.nix {
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cudaPackages = pkgs.cudaPackages_11;
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# We need to thread our nvidia x11 driver for CUDA.
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extraLibraries = [ config.hardware.nvidia.package ];
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services = {
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nginx = {
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enable = true;
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recommendedProxySettings = true;
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virtualHosts."ollama01.beta.dgnum.eu" = {
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enableACME = true;
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forceSSL = true;
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locations."/" = {
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proxyPass = "http://${config.services.ollama.host}:${toString config.services.ollama.port}";
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basicAuthFile = pkgs.writeText "ollama-htpasswd" ''
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raito:$y$j9T$UDEHpLtM52hRGK0I4qT6M0$N75AhENLqgtJnTGaPzq51imhjZvuPr.ow81Co1ZTcX2
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'';
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};
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};
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};
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ollama = {
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enable = true;
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package = pkgs.callPackage ./ollama.nix {
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cudaPackages = pkgs.cudaPackages_11;
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# We need to thread our nvidia x11 driver for CUDA.
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extraLibraries = [ config.hardware.nvidia.package ];
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};
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};
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};
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};
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@ -127,6 +127,14 @@ let
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"cas-eleves"
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"vote"
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];
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krz01.dual = [
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# Beta-grade machine learning API servers
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"ollama01.beta"
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"openui.beta"
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"whisper.beta"
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"stable-diffusion.beta"
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];
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}
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)
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);
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