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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...

Coding Agent

Devstral 2’s Local Illusion: When 128GB Is the Price of ‘Open’ State-of-the-Art

Mistral’s Devstral 2 promises SOTA coding locally, but the reality is a hardware arms race where flagship performance demands flagship hardware. Unpacking the compromises behind the 24B ‘sweet spot’ and what 123B truly requires.

#Coding Agent#Devstral 2#Local LLM...

Edge AI

Browser-Based AI Just Became a Serious Threat to Cloud Inference

Mistral’s 3B model now runs fully in-browser via WebGPU, enabling private, local AI without server dependency. Here’s what this means for the future of edge AI and why the model gap between 14B and 675B parameters reveals a calculated strategy.

#Edge AI#Local LLM#Mistral 3...