Unleashing the potential of machine learning at the edge with ultra-energy efficient, and scalable silicon hardware solution.
Unleashing the potential of machine learning at the edge with ultra-energy efficient, and scalable silicon hardware solution.
Transforming Edge Computing
Leveraging advanced technologies - including RISC-V cores and a patented 5-bit computation architecture - Xintellic delivers exceptional performance and efficiency, while maintaining high accuracy.
Breakthrough Innovations in Hardware
In-memory computing architecture fuses analog in-memory computing with digital processing to unlock massive parallelism.
Optimized for AI Applications
Xintellic accelerator chips are purpose-built for edge AI - powering applications from real-time video and autonomous vehicles to IoT and healthcare.
Energy Efficiency : Our solution minimizes data movement and power usage, leveraging memristor-based memory and efficient data flow architectures.
Low Latency : Eliminate the need for external memory, achieving faster inference speeds critical for real-time AI applications.
Scalable Design : Easily adapt to new AI models and configurations, ensuring long-term compatibility and scalability.
Developer-Friendly : Seamless integration with popular ML frameworks such as PyTorch means you can deploy models with minimal code changes, making high-performance AI more accessible.
Building the Future of Edge AI
We are driven by our commitment to advancing edge computing technology. Our team of experts is constantly pushing the boundaries of what’s possible, with a focus on sustainable, high-performance hardware that brings cutting-edge AI capabilities to new and diverse applications.
Discover more about our technology, products, and how our solutions are reshaping the future of AI at the edge. Whether you’re a developer, potential partner, or interested customer, we’re here to help.
A Revolution in Edge AI Hardware
Explore our range of products tailored to meet the specific needs of edge AI applications. From compact solutions designed for IoT devices to high-performance modules optimized for autonomous systems, our hardware accelerators enable faster, more efficient machine learning at the edge.