#183
A
Rank #19
Ollama
A single-binary local LLM runner with a clean REST API for pulling, running, and serving GGUF models on CPU or GPU. Its standout trait is exceptional simplicity — one binary, one API, no dependency sprawl.
81.0
/ 100
⚙ Full Stack
Pure Go server binary embedding a llama.cpp-derived inference engine, exposing a REST API (`/api/generate`, `/api/chat`) over HTTP. Models are pulled and cached as content-addressed layers on local disk, similar to container images.
📈 Scaling Analysis
Scales horizontally by running stateless replicas behind a load balancer since each instance independently loads models from its own disk/cache; the real scaling constraint is GPU/VRAM capacity per node, not the software architecture itself.
🚀 Running on Nexlayer
Single-pod deploy with the official image mirrored via `mirror.gcr.io/library/ollama` if pulled from Docker Hub, exposing port 11434 as `ollama.pod:11434` for other app pods to call. GPU workloads need a GPU-enabled nodepool/nodeSelector; note Ollama has no built-in auth, so front it with an internal-only service or add an auth proxy pod if exposed publicly.