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Liquid AI offers flexible pricing options. Visit their website for detailed pricing information and to request a quote.
View Pricing Details →Pricing sourced from Liquid AI · Last verified March 2026
Liquid AIs LFMs are specifically designed to achieve comparable performance to much larger models while using significantly less compute and memory. They excel in efficiency metrics and real-world deployment scenarios, though absolute performance may vary depending on the specific task and comparison models.
Yes, this is a core design principle. LFMs are built for complete on-device operation without requiring cloud connectivity, making them ideal for privacy-sensitive applications, edge computing scenarios, and environments with limited internet access.
LFMs are designed to be hardware-agnostic and can run on GPUs, CPUs, and NPUs. The specific requirements depend on the model size and use case, but theyve been optimized to run efficiently even on mobile processors and embedded systems.
Liquid AI provides comprehensive custom AI development services where their team works with enterprises to understand specific requirements and develops specialized models using their device-aware architecture search technology. This includes adapting models for industry-specific vocabulary, compliance requirements, and performance constraints.
AI builders and operators use Liquid AI to streamline their workflow.
Try Liquid AI Now →Cloud platform for running open-source AI models with serverless inference, fine-tuning, and dedicated GPU infrastructure optimized for production workloads.
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