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Liquid AI has expanded its Liquid Edge AI Platform (LEAP) to include native support for AMD’s latest Ryzen and Ryzen AI processors. This integration enables developers to deploy high-performance, low-latency AI applications directly on laptops and PCs, leveraging AMD’s Zen 5 architecture and Radeon integrated graphics for efficient, privacy-focused solutions.
Liquid AI’s LEAP platform now supports AMD Ryzen and Ryzen AI processors.
Enables low-latency, memory-optimized AI models for on-device deployment.
Achieves high throughput with AMD’s integrated compute accelerators.
Ensures data privacy with zero dependency on cloud APIs.
Simplifies development for consumer and enterprise AI applications.
Delivers sub-100ms responsiveness for real-time AI performance.
Liquid AI, a leader in efficient foundation models, has integrated its LEAP platform with AMD’s Ryzen and Ryzen AI processors, enabling developers to build robust AI solutions that run locally on devices. This update harnesses the power of AMD’s Zen 5 architecture and Radeon integrated graphics to deliver seamless, high-performance AI experiences without cloud reliance. Mathias Lechner, CTO and Co-Founder of Liquid AI, stated, “This integration is about collapsing complexity for developers. 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.”
Early benchmarks of Liquid’s LFM models on AMD hardware showcase impressive results. The LEAP SDK achieves high throughput efficiency, measured in tokens per second, while maintaining low power consumption. This is made possible by AMD’s integrated compute accelerators, which optimize performance for both consumer and enterprise applications. The platform’s zero dependency on cloud APIs ensures data privacy and reduces latency, making it ideal for privacy-sensitive use cases and real-time AI tasks.
The LEAP platform, built on the open-source llama.cpp inference engine, simplifies AI deployment by integrating with existing developer workflows. This AMD-optimized approach reduces integration time, allowing developers to deploy AI models across diverse devices without modification. Mark Papermaster, chief technology officer and executive vice president at AMD, emphasized, “Developers want a friction-free path to deliver AI that’s fast, private and power-efficient. 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.”
With native support for AMD processors, LEAP enables developers to create scalable AI applications that cater to both consumer laptops and enterprise endpoints. The platform’s design ensures consistent performance across Windows, macOS, and Linux, leveraging AMD’s hardware for sub-100-millisecond responsiveness. This capability supports a wide range of use cases, from real-time AI features to offline-capable software, empowering developers to deliver innovative, cost-effective solutions.
Liquid AI’s collaboration with AMD marks a significant advancement in edge AI, offering developers a powerful, efficient platform to build privacy-preserving applications. By combining LEAP’s optimized models with AMD’s cutting-edge processors, this integration sets a new standard for on-device AI performance and accessibility.
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.
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