X‑Silicon builds the xGPU, a high‑performance‑per‑watt processor that combines AI tensor cores with graphics shaders for edge devices. The chip enables real‑time AI inference and advanced rendering on power‑constrained platforms such as mobiles, drones, robots, and AR/VR headsets, delivering low latency, on‑device privacy, and extended battery life.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional GPUs deliver high performance but consume large amounts of power, making them unsuitable for battery‑operated edge devices such as mobile phones, drones, robots, and AR/VR headsets. This limits the ability to run real‑time AI inference and advanced graphics locally, forcing reliance on cloud processing that adds latency, reduces privacy, and increases network dependency.
Solution
X‑Silicon designs the xGPU, a high‑performance‑per‑watt processor that integrates AI acceleration and graphics rendering for edge applications. The architecture combines parallel AI compute with per‑pixel graphics pipelines, enabling real‑time visual AI and advanced rendering on power‑constrained platforms. An open hardware abstraction layer provides bare‑metal access and a unified programming model that supports Python and C++ via standard compilers, simplifying software development. By keeping data and inference on‑device, the solution delivers low latency, improved privacy, and continuous operation independent of network connectivity, while extending battery life for mobile and autonomous systems.
Target Audience
Primary customers are OEMs and system integrators developing mobile devices, wearables, drones, robotics, AR/VR headsets, and edge servers that require on‑device AI and high‑quality graphics within strict power budgets.
Features
- Extreme performance‑per‑watt GPU architecture that merges AI tensor cores with traditional graphics shaders
- Per‑pixel AI processing for simultaneous inference and rendering within a single pipeline
- Open hardware abstraction layer and bare‑metal access for deep optimization on customer platforms
- Unified programming paradigm supporting Python and C++ with industry‑standard compilers
- Scalable energy efficiency that reduces data‑center load and extends battery life in edge devices
- Low‑latency compute suitable for fine‑grained control in industrial robotics, AR/VR, and gaming
- Built‑in privacy by keeping all AI inference and graphics processing on‑device