Our Solution

Bridging the Gap in AI with a Unified Open C-GTPU

The advancement of AI has revealed limitations in current CPU and GPU architectures, which were designed primarily for the PC, gaming, server, and smartphone eras. These architectures tend to be power-intensive and costly, presenting challenges for scaling down to personal AI edge devices like mobile, IoT gadgets, and wearables. Due to these constraints, they are generally not optimized for performing personal learning and processing directly on-device, making it difficult to meet the demands of Personal Cognitive and Intelligent AI, which require low-power, cost-effective solutions. Furthermore, AI computing on personal devices can enhance data privacy by allowing data to remain on the device, reducing the need to transmit sensitive information to cloud-based AI servers.

OUR SOLUTION

X-Silicon’s unified compute/graphics IP platform with shared memory introduces an innovative approach to AI on edge devices, aiming to combine low-power efficiency with scalable high performance. Our open, customizable platform is designed to support a broad range of applications, from mobile and wearables to automotive, enabling devices to ‘sense, learn, and respond’ with advanced, on-device intelligence.

This capability could enable devices to recommend actions with enhanced visualization and natural language interaction. The C-GTPU architecture, supported by 14 patents granted or pending, integrates RISC-V-based CPU, GPU, and media functionalities with shared memory, aiming to enhance processing speed, reduce power consumption, and lower costs compared to conventional solutions. The integrated, open, customizable architecture is designed to make it quicker and easier for engineers to create innovative products and software applications.

*The product is currently under development and not yet available on the market. The features and aspects described are planned, and the company is in a pre-revenue stage.

INDUSTRY ANALYST QUOTES ABOUT X-SILICON’S NEW ARCHITECTURE

“X-Silicon’s chip is unlike other architectures, as its design combines the capabilities of a CPU and GPU into a single-core architecture. This isn’t like the typical designs from Intel and AMD where there are separate CPU cores and GPU cores.”

“Running a single instruction stream provides low-memory footprint execution and better efficiency, as there’s no copying of data between CPU and GPU”  “Cores can be meshed together into a multi-core design, enabling manufacturers to scale up processing power and each core can be scheduled to run graphics, AI, video, physics, HPC, or other workloads independently of the other cores.”
– Aaron Klutz, Tom’s Hardware

“X-Silicon’s new C-GPU architecture is an exciting new contribution to the expanding world of edge computing by leveraging the massively parallel nature of RISC-V with AI/ML and graphics elements”

– Pete Bernard of EDGECELSIOR.

“For over twenty years, the industry has been seeking an open-standard GPU flexible and scalable enough to support a variety of markets such as AR/VR, automotive, IoT, and the vast embedded verticals.” 

– Dr. Jon Peddie
A pioneer in the graphics industry