Make the cloud a choice.
A practical, sourced guide for anyone learning to run AI on their own machine, whether you’re curious, tinkering on a weekend, keeping your family’s data at home, or planning for a team. Nothing here is for sale. Read the news, check real hardware prices, and when you’re ready to bring AI to work, the team toolkit walks you through it.
Ask the AI you already use:
“What happens to the private things I tell you?”
Compare the answer. Then turn on Airplane Mode and ask it anything.
Neither result is wrong. The test just shows where the thinking happens, and what keeps working when the connection doesn’t.
What you type here stays on your screen.
A site about keeping your knowledge in-house should keep yours, too. You don’t have to take our word for it. Open your browser’s developer tools, watch the Network tab, and use any tool on this site.
Most company-knowledge jobs only need your company’s knowledge.
A policy lookup, an onboarding question, a step in an SOP: the answer is in your own documents, not on the open internet. Jobs like that are often good candidates to run on hardware you control, where the documents and the questions stay in the building and the work keeps going if the internet doesn’t.
Other jobs genuinely need frontier capability or short-term scale, and the cloud is the right place for them. The toolkit doesn’t pick a side. It helps you place each job on purpose.
Your people are already asking AI about work.
The question is whether the answers come from your current, approved knowledge, placed where you chose, or from wherever someone pasted it.
of AI users said they bring their own AI tools to work.
of respondents said they had entered employee names or information into generative AI tools.
What changed this week in local and private AI
- DeepSeek V4.1 Flash (1017) Now Leads Open-Weight Models
LocalLLaMA users are debating a claim that DeepSeek's new V4.1 Flash (1017) release now tops the open-weight model rankings, and what that means for people running models on their own hardware.
- deepseek-ai/DeepSeek-V4.1-Flash-1017 · Hugging Face
r/LocalLLaMA readers flag a new DeepSeek V4.1 Flash checkpoint posted to Hugging Face.
- Show HN: Llmspeed – feel how fast a local LLM runs before you buy the hardware
A Show HN project that lets you preview how fast a local model would feel on given hardware before buying it.
- 10 Things you maybe didn't know you can do with Qwen 3.6 27B right now. (For Noobs)
A beginner-friendly r/LocalLLaMA post walks through practical things one user does with the Qwen 3.6 27B model running at home.
- Llama.cpp on a jailbroken PS5: run any GGUF model natively on the console
An open-source project ports llama.cpp to a jailbroken PS5 so the console can run GGUF models on its own hardware.
Headlines link to the original source. Summaries are our own one-line descriptions, not quotes. Picked automatically for relevance to local, on-prem, and private AI; inclusion is not an endorsement. Refreshed Oct 18, 2026.
Local-AI hardware prices we checked today
- KLEVV CRAS C715 1TB 3D NAND PCIe Gen 3 x4 NVMe M.2 2280 Internal Solid State Drive$179.99 Retailer sale · was $499.99
- KLEVV CRAS C910G 1TB 3D TLC NAND Flash PCIe Gen 4 x4 NVMe M.2 Internal SSD$189.99 Retailer sale · was $499.99
- MSI SPATIUM M450 1TB SSD 3D NAND PCIe Gen 4 x4 NVMe M.2 2280 Internal Solid State Drive$189.99 Retailer sale · was $399.99
Built by someone who thinks in checklists.
This toolkit started as a presentation by Mike Folk, founder of FolkTech AI, who spent 33 years in healthcare, 16 of them as a paramedic. On a call, you triage first, follow the protocol, and check the bag before the next shift. Placing AI work and getting company knowledge ready works the same way. Who’s behind this.
Learn local AI, one week at a time.
Every Tuesday: what changed in local and private AI, one hands-on thing to try on your own machine, hardware worth knowing about, and a protocol for teams. Plain English, no hype, whoever you are. Short enough to read with your coffee.