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AI Fundamentals: Self-Hosting LLMs with Ollama — Free, Local, No Rate Limits
API rate limits and per-token costs are blockers for high-volume or exploratory work. Self-hosting an LLM with Ollama gives you a fully local endpoint; no API key, no rate limit, data stays on your network.
In this video I run a model on my Windows desktop and call it from my MacBook over my local network to show exactly how to leverage locally hosted models
In this video:
What Ollama is and why you'd self-host instead of using a hosted API
Cost and rate-limit constraints that make local models worth it
How to install Ollama and pull a model
Configuring Ollama to serve over your local network (LAN)
Calling the model from a separate machine using curl and the Ollama CLI
Honest limitations
Chapters:
0:30 — What is Ollama and why self-host
2:00 — Experiment Setup
2:30 — Ollama Setup
3:50 — LAN Setup
4:30 — Local Model Test
8:00 — Model Call from Mac
11:00 — Limitations
Subscribe for more platform engineering and AI exploration → RobOps
Видео AI Fundamentals: Self-Hosting LLMs with Ollama — Free, Local, No Rate Limits канала RobOps
In this video I run a model on my Windows desktop and call it from my MacBook over my local network to show exactly how to leverage locally hosted models
In this video:
What Ollama is and why you'd self-host instead of using a hosted API
Cost and rate-limit constraints that make local models worth it
How to install Ollama and pull a model
Configuring Ollama to serve over your local network (LAN)
Calling the model from a separate machine using curl and the Ollama CLI
Honest limitations
Chapters:
0:30 — What is Ollama and why self-host
2:00 — Experiment Setup
2:30 — Ollama Setup
3:50 — LAN Setup
4:30 — Local Model Test
8:00 — Model Call from Mac
11:00 — Limitations
Subscribe for more platform engineering and AI exploration → RobOps
Видео AI Fundamentals: Self-Hosting LLMs with Ollama — Free, Local, No Rate Limits канала RobOps
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12 мая 2026 г. 18:30:13
00:12:45
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