WiCi enables wireless GPU access for local AI model execution on consumer devices

WiCi provides a wireless computing infrastructure that allows consumer devices like laptops and phones to access a remote, high-performance GPU over Wi-Fi. By utilizing a proprietary protocol, the system presents the remote GPU as a local device, enabling users to run resource-intensive AI models, 3D rendering, and video editing tasks without requiring high-end hardware. The system addresses the latency challenges of wireless data transfer by optimizing how instructions and data are communicated, effectively reducing the bandwidth required for real-time interaction. To manage the memory constraints of large models, the WiCi box employs a scheduler that dynamically swaps model data between the GPU's VRAM and a 4TB NVMe SSD. This approach allows the system to run models that exceed the GPU's onboard memory capacity by treating the SSD as an extension of the VRAM. The technology aims to democratize access to powerful computing resources, enabling users to leverage advanced AI capabilities on standard, lightweight devices.

WiCi allows consumer devices to access a remote GPU over Wi-Fi, appearing as a local hardware resource. The system uses a proprietary protocol to optimize data transfer and reduce latency for real-time AI model execution.

A built-in scheduler manages memory by swapping model data between the GPU's VRAM and a 4TB NVMe SSD. This architecture enables the execution of large AI models that exceed the onboard memory capacity of standard consumer GPUs.

The technology supports various applications, including 3D rendering, video editing, and local AI inference, on lightweight devices.