Liquid AI Brings Native Support for AMD Ryzen™ and Ryzen AI™ to LEAP, Boosting Edge AI Performance
Liquid AI, an MIT-born pioneer in efficient foundation models, has announced native support for AMD’s latest Ryzen™ and Ryzen AI™ processors within its Liquid Edge AI Platform (LEAP). This advancement unlocks unprecedented performance gains for developers creating high-quality, on-device AI solutions. By optimizing LEAP for AMD’s cutting-edge “Zen 5” architecture and Radeon™ integrated graphics, Liquid AI is empowering developers to deploy real-time, privacy-preserving AI applications directly on PCs—without relying on cloud inference.
Unleashing the Power of AMD Hardware
This update enables developers to leverage Liquid AI’s low-latency, memory-optimized models natively accelerated on AMD’s advanced hardware. The result is a seamless integration of software and hardware that delivers exceptional performance while maintaining energy efficiency. Early benchmarks of Liquid’s LFM (Liquid Foundation Models) running through the LEAP SDK on AMD-powered devices highlight several key advantages:
- High Throughput Efficiency: Liquid’s models achieve impressive token-per-second (tok/sec) throughput with minimal power consumption, thanks to AMD’s integrated compute accelerators.
- Zero Cloud Dependency: By eliminating reliance on cloud APIs, this solution ensures data remains private and reduces latency, making it ideal for sensitive applications.
- Scalability Across Devices: Developers can deploy lightweight, high-performing AI experiences across consumer laptops and enterprise endpoints without additional modifications or complexity.
These capabilities make it easier than ever for developers to build AI applications that are both powerful and efficient, ensuring they meet the demands of modern edge computing environments.
Simplifying Developer Workflows
The integration of LEAP with AMD Ryzen™ and Ryzen AI™ processors is designed to streamline the development process. By reducing integration time and complexity, Liquid AI is enabling teams to ship AI products faster while meeting the stringent requirements of edge applications—speed, efficiency, and control.
“This integration is about collapsing complexity for developers,” said Mathias Lechner, CTO and Co-Founder of Liquid AI. “By tuning LEAP for AMD Ryzen processors, we’re enabling teams to ship AI products faster—with the speed, efficiency, and control that edge applications demand.”
For developers seeking a friction-free path to deliver fast, private, and power-efficient AI solutions, this partnership offers a compelling advantage. With sub-100-millisecond responsiveness on-device, users benefit from real-time AI experiences while keeping their data securely stored on their PCs.
A Unified Vision for Energy-Efficient Intelligence
AMD’s commitment to fostering an open ecosystem aligns perfectly with Liquid AI’s mission to democratize access to efficient AI tools. Together, they are setting new standards for energy-efficient intelligence at the edge.
“Developers want a friction-free path to deliver AI that’s fast, private, and power-efficient,” said Mark Papermaster, Chief Technology Officer and Executive Vice President at AMD. “Pairing AMD Ryzen™ and Ryzen AI™ processors with Liquid AI’s memory-lean LFM models in the LEAP SDK collapses complexity, giving creators sub-100-millisecond responsiveness on-device while keeping data on the user’s PC. It’s a powerful example of the open-ecosystem, holistic design approach we champion to bring energy-efficient intelligence.”
This collaboration underscores the importance of an open-ecosystem approach in driving innovation. By combining AMD’s hardware expertise with Liquid AI’s groundbreaking foundation models, the partnership delivers a robust platform for developers to create next-generation AI applications.
Purpose-Built for the Edge
Liquid AI’s LFM architecture is specifically engineered for efficient edge inference. The new AMD-optimized implementation within LEAP further enhances this capability by providing developers with a direct route for model deployment. This eliminates the need for extensive customization or additional infrastructure, allowing developers to focus on building innovative AI solutions.
The ability to run AI workloads locally on devices not only improves performance but also addresses growing concerns around data privacy and security. As more organizations adopt AI-driven technologies, the demand for on-device processing continues to rise. Liquid AI and AMD are addressing this need by delivering a platform that combines the best of both worlds: high-performance AI and robust data protection.
Enabling the Future of On-Device AI
The integration of LEAP with AMD Ryzen™ and Ryzen AI™ processors marks a significant milestone in the evolution of edge AI. By providing developers with the tools they need to build efficient, scalable AI applications, Liquid AI and AMD are paving the way for a new era of intelligent computing.
From consumer laptops to enterprise endpoints, this partnership ensures that AI solutions can be deployed seamlessly across a wide range of devices. Whether it’s enhancing productivity, improving customer experiences, or enabling smarter decision-making, the possibilities are virtually limitless.
As the demand for on-device AI continues to grow, Liquid AI and AMD are well-positioned to lead the charge. By combining Liquid AI’s memory-lean models with AMD’s state-of-the-art processors, they are delivering a platform that empowers developers to push the boundaries of what’s possible in AI.
About Liquid AI
Liquid AI is a foundation model company spun out of MIT, focused on building highly efficient AI systems designed for real-world environments. Liquid’s proprietary Liquid Foundation Models (LFMs) and its LEAP development platform enable seamless deployment of advanced AI directly on devices where latency, privacy, and performance matter most. Learn more at liquid.ai.
