Ghost unveils $3,499 AI computer for AI agents with RTX Pro 4000 SFF Blackwell GPU, secures $11 M seed from a16z (Dominic‑Madori Davis/TechCrunch)
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| Source: Techmeme | Original article
Ghost, a startup offering a $3,499 AI‑agent computer with an RTX Pro 4000 SFF Blackwell GPU, has emerged from stealth after raising $11 million in seed funding led by a16z.
Ghost, a San Francisco‑based startup founded by 19‑year‑old Zain Javaid, has emerged from stealth with an $11 million seed round led by Andreessen Horowitz. The funding will back the launch of Core, a $3,499 personal computer built expressly for running AI agents locally.
Core distinguishes itself by forgoing a display entirely; it is a compact, screenless desktop that sits on a shelf and operates through a phone‑based app. The machine is powered by an Nvidia RTX Pro 4000 SFF Blackwell GPU and ships with on‑device versions of Qwen‑3.8‑Next, Qwen‑3.8‑27B and Gemma‑4‑31B, enabling agents to manage email, calendars, files and smart‑home devices without relying on cloud services. Pre‑orders opened on Monday, and the first units are slated to ship in the last week of October, assembled in Ghost’s San Francisco facility.
The move matters because it signals a shift toward edge‑centric AI deployment. By keeping inference local, Core promises lower latency, reduced bandwidth costs and stronger data privacy—attributes that could appeal to enterprises wary of cloud‑based models. The price point also positions the device as a relatively affordable gateway for developers and small teams to experiment with autonomous agents at scale.
What to watch next includes the rollout of the first shipments and how quickly the ecosystem of compatible agents and third‑party software materialises. Enterprise interest will hinge on the robustness of Ghost’s security controls, the performance of its Blackwell GPU in real‑world workloads, and the economics of running large language models on‑premise versus in the cloud. Follow‑up reporting will track adoption trends, potential partnerships with AI model providers, and any regulatory scrutiny that may arise as local AI agents become more prevalent in consumer and business environments.
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