Local Edge AI & MLOps
SLM Local Deployment Studio
Build high-performance, containerized, or local edge environments for Small Language Models (SLMs). Generate Ollama Modelfiles, systemd execution configs, and local bootstrapping automation scripts dynamically.
⚙️ Model & Parameter Config
🖥️ Platform & Deployment Options
Allows direct client-side web application queries to hit the Ollama model endpoint.
Allows other local network devices or container services to access the model endpoint.
💡 Interactive Edge SLM Topology
Visual path representing how your local clients route queries to local CPU/GPU cores.
Client Web UI / API
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Port: 11434 (CORS)
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Ollama Daemon
Custom 'sre-assistant' Model
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System Prompt Context
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Local CPU/GPU (M1/M2/CUDA)
⚡ Local SLM CLI Tricks
# Check loaded models and size on RAM:
ollama ps
# Remove model to reclaim edge disk space:
ollama rm sre-assistant