| At CES 2026 in Las Vegas, Tiiny AI emerged as one of the most talked about names in personal computing with the launch of the Tiiny AI Pocket Lab. Designed as a compact yet powerful personal AI computer, Pocket Lab challenges the prevailing dependence on cloud based artificial intelligence by bringing large scale AI models directly onto a private, offline device. As conversations around data privacy, long term AI costs, and digital sovereignty intensify, Tiiny AI’s approach struck a chord with media, developers, and industry observers alike. Unveiled earlier this week at CES, Pocket Lab drew strong global media attention for its ability to run large language models locally without requiring continuous internet access, subscriptions, or usage based fees. In an era where most AI platforms rely on remote servers and token based pricing, Tiiny AI is positioning Pocket Lab as a return to ownership, control, and predictability in how people use artificial intelligence. During live demonstrations at CES, Tiiny AI showcased Pocket Lab running large language models with up to 120 billion parameters entirely offline. The system achieved decoding speeds exceeding 20 tokens per second, a level of performance the company describes as practical for everyday use rather than a limited technical demonstration. This capability places Pocket Lab in a rare category of compact devices capable of handling AI workloads previously reserved for data centers and enterprise grade systems. As generative AI adoption accelerates, users are increasingly evaluating the trade offs between convenience and control. Cloud based AI services offer scale and ease of access, but they often require sending sensitive data to third party servers while incurring ongoing costs that can quickly escalate. Local AI systems, once constrained by hardware limitations, are now re emerging as viable alternatives thanks to improvements in inference efficiency and specialized hardware design. “People are beginning to question where their data goes and how much AI truly costs over time,” said Samar, GTM Director at Tiiny AI. “We believe personal AI should feel like owning a computer, not renting intelligence by the token.” Rather than positioning Pocket Lab as a replacement for existing laptops or desktops, Tiiny AI presented the device as a companion system. Pocket Lab connects through a plug and play setup and offloads large model inference externally, allowing even older computers to access advanced AI capabilities without expensive hardware upgrades. This approach lowers the barrier to entry for users who want high performance AI without rebuilding their entire computing environment. Alongside the hardware, Tiiny AI also introduced TiinyOS, its proprietary on device software platform. TiinyOS includes a user friendly client that allows consumers to download and run open source large language models and AI agents with a single click. For developers, the platform offers tools to build, deploy, and manage local AI workflows without relying on cloud infrastructure. Together, Pocket Lab and TiinyOS form an integrated ecosystem aimed at making local AI both accessible and practical. Pocket Lab is scheduled to launch on Kickstarter in February, with a super early bird price of $1,399. According to Tiiny AI, the pricing strategy is designed to encourage broader adoption rather than position the device as a niche premium product. The system includes 80GB of LPDDR5X memory, a component whose standalone market value can exceed $900 based on current pricing trends, highlighting the company’s focus on delivering tangible hardware value. Industry observers note that devices at this price point have traditionally struggled to support very large AI models locally. Pocket Lab’s ability to run models exceeding 100 billion parameters places it among a small but growing group of systems focused on local first AI design. This shift reflects broader discussions around data governance, enterprise security, and the long term economics of artificial intelligence services. In December 2025, Tiiny AI received confirmation from Guinness World Records that Pocket Lab will be certified as the smallest mini PC capable of running a 100 billion parameter large language model locally. The recognition further reinforces the company’s positioning at the forefront of compact AI computing. |
Following its CES debut, Tiiny AI plans to continue engaging developers, researchers, and early adopters as it expands access to Pocket Lab. As interest in private, offline AI grows, Pocket Lab represents a compelling vision of how artificial intelligence can move closer to the individual, both physically and closer to the individual, both physically and philosophically.
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