🗂️ Tools, Platforms & Infrastructure · View mindmap

group: research-practice-sensemaking

Edge Computing

Summary

Edge computing processes data near the source to reduce latency and bandwidth, exemplified by CPU-optimized AI models like Kitten TTS and Google Gemma 4.

Seed Sources

• Local Ai Cluster
• Amy Webb’s 2026 Emerging Tech Trend Summary Report

Key Examples

• Kitten TTS: Open-source, CPU-optimized text-to-speech framework (model size <25MB) for edge deployment and browser-based applications, developed by Kitten ML.
  • Reviewed on Sam Witteveen channel (2026-04-14).
  • Focus on extreme efficiency and small file sizes.
  • Video review available: CPU optimised TTS - Kitten AI.

Trends & Context

• 2026 Emerging Tech Trends: Amy Webb highlights edge computing as a critical infrastructure shift in her 2026 report, emphasizing decentralized data processing capabilities (Source: SXSW 2026).

Source Notes

• 2026-04-08: What Is Llama.cpp? The LLM Inference Engine for Local AI
• 2026-04-10: What Is Llama.cpp? The LLM [[c