Kneron Unveils KL1140 Chip for Efficient Edge AI and LLMs Deployment

San Diego, Nov. 24, 2025 – Kneron, a San Diego-based company, unveils its KL1140 chip, designed to bring large language models (LLMs) to edge devices with up to 3X greater energy efficiency.

New Chip Paves the Way for Advanced Edge AI

The KL1140 chip is a significant step forward in the deployment of AI at the edge. By enhancing energy efficiency, Kneron aims to enable more powerful and sustainable AI applications on devices like smartphones, IoT gadgets, and autonomous vehicles.

Key Features of the KL1140 Chip

• Up to 3X greater energy efficiency compared to current solutions
• Optimized for large language models (LLMs)
• Designed for edge devices, including smartphones and IoT gadgets

Industry Context and Implications

The demand for AI at the edge is growing rapidly as more industries seek to leverage real-time data processing and reduce latency. The KL1140 chip addresses this need by providing a more efficient and powerful solution for deploying AI models directly on edge devices.

“The KL1140 chip is a game-changer for edge AI,” says Albert Liu, CEO of Kneron. “By significantly improving energy efficiency, we are enabling a new generation of AI applications that can run seamlessly on a wide range of devices.”

Future Outlook

With the launch of the KL1140 chip, Kneron is poised to drive innovation in the edge AI market. The company’s focus on energy efficiency and performance is expected to spur further advancements in AI and machine learning, particularly in sectors such as healthcare, automotive, and smart cities.

References

• DOE Launches HPC-AI-Quantum ‘Genesis Mission’ Research Platform | Inside HPC & AI News