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Claude Code Embraces Local LLMs: The On-Prem AI Coding Shift Developers Actually Want

Anthropic’s Claude Code now runs local LLMs through Ollama, enabling fully offline AI coding assistance. This integration challenges cloud AI dominance while addressing real enterprise privacy concerns, here’s what actually works and what doesn’t.

#AI-coding#anthropic#claude-code...

llama.cpp

Beyond the Benchmarks: The Real Story Behind llama.cpp’s 70% Edge Over Ollama

A deep dive into why llama.cpp outperforms Ollama by 70% on Qwen-3 Coder, exploring tensor allocation heuristics, runtime overhead, and the true cost of convenience layers in local LLM inference

#llama.cpp#Local LLM#Ollama...

llama.cpp

Ollama’s Cloud Pivot Is Quietly Eroding Local AI’s Privacy Promise

Growing community concern over Ollama’s integration of cloud-based and proprietary models, marking a departure from its original mission as a local, open model runner.

#llama.cpp#Ollama#privacy

llama.cpp

Router Mode in llama.cpp: Finally, a Native Alternative to Ollama’s Model Switching

The new router mode in llama.cpp server enables dynamic model loading and switching without restarts, bringing enterprise-grade flexibility to local LLM deployment while exposing new resource management challenges.

#llama.cpp#LLM#local AI...