Articles tagged "ローカルAI"

A comprehensive guide to building high-performance AI agents with Qwen3.5-9B using Mac mini M4 and OpenClaw. Covers hardware requirements, LINE/Slack/Discord integration, and performance benchmarks.

A comprehensive guide to Qwen3.5-9B, Alibaba's next-generation small language model released in March 2026. Explore its hybrid Gated DeltaNet + MoE architecture, 262K context window, early-fusion multimodal capabilities, and remarkable performance that rivals models 3x its size—all running on just 5GB of RAM. Includes benchmark comparisons, business use cases, and practical deployment advice for SMBs.

A complete step-by-step guide to installing Qwen3.5-9B locally on Mac, Windows, and Linux. Covers setup via Ollama, llama.cpp, and vLLM, along with quantization options (GGUF Q4/Q5/Q8), GPU acceleration (CUDA/Metal), Docker deployment, API server configuration, performance tuning, and troubleshooting. Practical instructions for developers and IT administrators looking to run SLMs on-premises.

A thorough TCO comparison between running Qwen3.5-9B as a local AI and using cloud APIs. Covers hardware costs, electricity, maintenance, break-even analysis, and ROI calculation frameworks for SMBs in Shinagawa, Minato, and Shibuya.

Gartner has named Domain-Specific Language Models a top strategic technology trend for 2026. Small Language Models (SLMs) are transforming AI adoption for SMBs with lower costs, higher accuracy for specific tasks, and zero data leakage risk. This guide covers benefits, leading models, practical use cases, and step-by-step adoption.