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Developer Frameworks & Infrastructure

Liquid D1

Non-autoregressive state-space LFM decision engine by Liquid AI

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Developer Frameworks & Infrastructure

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Last updated

Oct 4

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Real-time edge signal processing

Deploy low-latency decision engines on edge devices for continuous streaming analysis.

Pricing checked Oct 2026

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About Liquid D1

Liquid D1 (Liquid Foundation Model D1) created by Liquid AI represents a breakthrough in non-autoregressive sequence modeling. Designed for dynamic edge deployment and real-time streaming decision systems, D1 delivers ultra-low latency inference with minimal memory footprint.

Its hybrid state-space architecture allows adaptive context processing, enabling autonomous robotics, high-frequency decision engines, and edge devices to process continuous environmental signals efficiently.

  • Non-autoregressive architecture yields sub-millisecond step inference
  • Highly efficient memory footprint ideal for edge devices and robotics
  • Native continuous-time sequence reasoning
  • Specialized architecture requires specific SDK integration
  • Ecosystem tools still evolving compared to standard transformers

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The layer builders stand on: training frameworks, model hubs, agent orchestration, vector databases, and pay-per-second inference APIs. Repository health, license clarity, and self-hosting paths are part of every listing so teams can evaluate lock-in at a glance.

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