
How to Run Local AI Models: Hardware, Tools, and Costs
Learn how to run local AI models with Ollama or LM Studio on a laptop, GPU, or phone, plus local image and music generation and API cost break-even.
How IT teams use AI, how to do it well, and what it means for your job. Written for people who keep the systems and laptops working, not people who build models.

Learn how to run local AI models with Ollama or LM Studio on a laptop, GPU, or phone, plus local image and music generation and API cost break-even.

When does building a custom Rust query engine with DataFusion or DuckDB beat SaaS analytics? Compare cost thresholds, team size, and real case studies.

How the EU AI Act, state right-to-compute laws like Montana's SB 212, and Meta's Llama license shape open source AI rules, and what builders should check.

Learn how to run CUDA apps on AMD GPUs with ZLUDA on Windows: setup steps, supported GPUs, legal risk under NVIDIA's EULA, and what still breaks.

Compare Rust and Python for internal tools built with AI coding agents: prototype in Python, harden in Rust, with benchmarks, savings and risks.

Shadow AI can trigger AI-washing fraud charges, EU AI Act fines, and scraping lawsuits. See who holds the legal liability inside a company and how to govern it.

Learn how to secure shadow AI agents built by employees: inventory them, limit access, add human checkpoints, and defend against prompt injection and EchoLeak-style attacks.

Build a local AI coding agent on an M4 Mac Mini with Ollama's MLX backend, Qwen3-Coder-Next, Serena MCP tools, and a Panel chat UI. No token billing.

How AI-generated code affects open-source quality, from F-Droid and Flathub app slop to curl's ended bug bounty, with data from GitClear, Apiiro and METR.

An agentic OS lets AI agents act on files, settings, and apps. See how Windows 11 and Omarchy Linux differ on who controls the agent, plus real risks.

Salesforce runs three Agentforce pricing models at once. Compare per-seat, usage, and outcome pricing, with data from Bain, Intercom, Sierra, and Zendesk.

Learn how to govern AI-built internal tools with a 30-day inventory, risk tiers, and a paved path, backed by data on shadow AI breach costs and exposed apps.

Compare open-source ERP (Odoo, ERPNext) with SaaS ERP (SAP, NetSuite) on pricing, 3-year TCO, customization, lock-in, and when SaaS still wins.

Who pays when rented facial recognition causes a false arrest? See NIST error data, the Workday ruling, settlements, and the SaaS contract terms that shift risk.

Learn how to audit AI agents with per-agent cryptographic identity, per-action authorization, and tamper-evident logs, based on NSA and Five Eyes guidance.

ATMs, Muni trains, and insurers still run DOS. See why legacy software persists and how owning software compares to SaaS subscription costs over time.

Learn how to run Claude Code, Codex, or Cline locally with Magnitude in three steps, plus DeepSeek vs OpenAI cost math and the tool's alpha limits.

Learn how to pick, quantize, and run distilled models like DeepSeek-R1 locally with Ollama or llama.cpp, and when self-hosting beats API costs.

Omarchy is DHH's Arch and Hyprland desktop with built-in AI coding agents. See review scores, security issues, costs vs Codespaces, and who should switch.

No-code voice bots from Vapi, Bland AI, Retell and Synthflow can bypass IT. See the TCPA, BIPA, EU AI Act, and PCI/HIPAA risks and how to govern them.

Compare AI SaaS with building internal tools. See cost data, real company savings, and the $2,000 a month threshold where building starts to win.

Compare Ollama, LM Studio, llama.cpp, Open WebUI, AnythingLLM, and vLLM across runtime, interface, and server layers, plus VRAM needs and cost.

Compare the real cost of renting SaaS with building on the web platform using AI coding tools, with data on license waste, Retool survey results, and cloud costs.

Compare Llama, Qwen, Mistral, DeepSeek, gpt-oss, and small models by license, hardware needs, and self-hosting break-even to pick one for internal tools.