Developers can now access low-latency, memory-optimized models accelerated on AMD’s Zen 5 processors with Radeon graphics, facilitating real-time, privacy-preserving AI on PCs without cloud reliance.

This expansion of support enables high-performance, on-device AI deployment on AMD hardware, originating from Liquid AI's MIT roots.

AMD’s Mark Papermaster highlighted that pairing Ryzen processors with Liquid models delivers sub-100-millisecond responsiveness, boosting privacy and energy efficiency.

The integration ensures that on-device AI remains fast, responsive, and privacy-preserving, leveraging AMD’s Ryzen processors.

Early benchmarks show Liquid’s models achieve high throughput at low power with zero dependency on cloud APIs, enhancing data privacy and reducing latency.

The LEAP SDK supporting AMD acceleration and LFM-2 models is now available, with resources and documentation accessible online to facilitate developer adoption.

Liquid AI’s CTO emphasized that this integration simplifies AI product shipping by reducing complexity, enabling faster deployment, and improving efficiency and privacy for edge applications.

Liquid AI's LEAP SDK, optimized for AMD, simplifies model deployment across consumer laptops and enterprise endpoints, enabling scalable AI experiences without additional modifications.

Liquid’s LFM architecture is designed for efficient edge inference, reducing integration time and making deployment straightforward.

Native support allows developers to deploy lightweight, high-performance AI models seamlessly across various devices.

Liquid AI announced native support for AMD's latest Ryzen and Ryzen AI processors in its LEAP platform, enhancing performance for on-device AI solutions.