Why We Built Offline Local AI for FarmOS
How we embedded GGUF quantized models directly into desktop applications to deliver private, latency-free AI assistant features without cloud monthly costs.
Local AIFastAPIGGUF
Architectural deep dives, engineering lessons, and product strategies from the team at Azynta.
How we embedded GGUF quantized models directly into desktop applications to deliver private, latency-free AI assistant features without cloud monthly costs.
A deep dive into SQLCipher encryption, Bluetooth thermal printing, and device-to-device socket synchronization for retail operations.
Strategies for batching draw calls, optimizing shader complexity, and managing memory allocation across mid-range mobile devices.