AI news · October 7, 2026

Ghost raises $11 million for a $3,499 local AI computer

local-aihardwareprivacyfunding

Ghost is packaging local models as a screenless personal computer. The $3,499 price makes privacy and ownership a clear buying test, not a vague promise about running AI at home.

seed funding
$11M
Core computer price
$3,499
preinstalled models
3

Ghost announced an $11 million seed round on October 5 for Core, a $3,499 screenless computer designed to run personal AI locally. The machine uses an NVIDIA RTX Pro 4000 SFF Blackwell GPU and ships with three models: Qwen-3.8-Next, Qwen-3.8-27B, and Gemma-4-31B. Users interact through a phone application or voice instead of a built-in display.

Ghost says memory, models, and user data stay on the device, while optional over-the-air updates can be enabled. It describes encryption and a firewall monitor for outgoing requests. The product is available for preorder and is planned to ship in the last week of October, so the shipping date and real-world noise, heat, latency, and maintenance burden are still unproven.

The offer is clear: pay for a dedicated local box instead of sending every personal task to a cloud service. That can appeal to privacy-sensitive users and developers who need predictable local control. It will not win on price against a cloud subscription unless local usage, ownership, and data boundaries solve a problem the cloud cannot.

What you can do with it

Use the price as a hard benchmark. List the tasks that require local inference, estimate cloud cost and data risk over twelve months, and test an equivalent small-form-factor setup before buying. Require a clean model-install path, update rollback, and a way to audit outbound requests.

Our take

Ghost is selling a complete ownership story, not just a GPU. That is commercially interesting, but hardware launches often hide setup and support costs. The product earns its premium only if local privacy and dependable latency create repeat use that a cheaper cloud workflow cannot match.

Source: TechCrunch ↗ — Made With Models writes the brief; the reporting is theirs.