What Is an AI Inference Engine? vLLM Explained
An AI inference engine like vLLM serves trained model weights to real users. Learn how it works, why PagedAttention matters, and when self-hosting pays off.
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AI News & Models
Local AI
Run AI models on your own laptop, GPU or server: setup guides, hardware, benchmarks and when local beats the cloud.
150 articles · Updated Nov 12, 2026
Most read by people in Engineering, IT and Legal & Compliance.
How to Run GLM-5.3-Flash Locally on CPU (No GPU Required)
How to run the 320B-parameter GLM-5.3-Flash model on CPU with 128GB RAM using Unsloth's dynamic GGUF quants, plus the hardware math and exact commands.
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Reclaiming the Dev Cycle: Building an AI-Native Workflow You Actually Own
Shadow AI is now standard, not fringe. Here's how to build a standardized, locally run AI development cycle with small models and DuckDB instead.
When the Cloud Breaks: Why Local AI Is the Ultimate Software Asset
Cloud AI outages keep hitting OpenAI, Anthropic, and AWS. Here's why local AI execution is becoming the safer, cheaper standard for software ownership.
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Tuning Your Local AI: Why Self-Hosted Models Feel Dumber Than They Are
Local LLMs feel dumb because of defaults, not weak models. Fix context length, quantization, chat templates, and sampling to close the gap with APIs.
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How to Self-Host Your Company's AI Stack: Replacing SaaS APIs with Local Models
A practical howto on self-hosting your company's AI stack: break-even math, open models like DeepSeek V3, and tools like SIE and FreeToken.