Energy-Efficient Edge AI Unit for Local LLM Inference and Real-Time Intelligence

The AVA Node is a compact, high-efficiency edge-level AI server designed for running large language models and real-time AI workloads with significantly reduced energy consumption.

It represents the physical execution unit of the AVA Resonant Intelligence architecture — combining optimized hardware with a resonance-based software stack to deliver measurable efficiency gains over conventional AI inference systems.

The challenge

Running modern AI models typically requires:

• – high GPU power consumption,
• – constant cloud connectivity,
• – and centralized infrastructure with rising operational costs.

For many enterprise, governmental, industrial, and privacy-sensitive environments, this model is:

• – too expensive,
• – too energy-intensive, or
• – simply not permitted.

The solution – AVA Node

The AVA Node provides a local, energy-optimized AI execution unit that:

• – runs LLMs and AI models on-site,
• – minimizes energy and compute waste through resonant optimization,
• – operates independently of cloud infrastructure.

It is not a general-purpose server, but a purpose-built AI node optimized for efficient inference.

Hardware architecture

The AVA Node integrates a balanced, energy-aware hardware stack:

• – optimized GPU / NPU for inference workloads
• – low-power CPU for orchestration and control
• – high-bandwidth memory
• – NVMe-based storage
• – quiet, energy-efficient cooling
• – industrial-grade, 24/7-ready design

The hardware is selected and tuned specifically for sustained AI inference at low power cost.

Software stack

Each AVA Node runs the full Resonant Optimization Suite:

• – RCF-LIM – LLM inference optimization
• – HGO – intelligent GPU–CPU workload distribution
• – ADC-Optim – energy-aware system operation
• – RCF-Secure – built-in security and anomaly detection

The system dynamically adapts execution strategies based on workload patterns, activating only the compute resources that are actually required.

Key benefits

• – Local AI execution without cloud dependency
• – 30–40% reduction in energy and compute usage
• – optimized specifically for LLM inference
• – low-latency, real-time responses
• – full data privacy and on-site control
• – stable 24/7 operation
• – scalable from a single unit to large node clusters

Deployment scenarios

• – enterprise AI assistants running locally
• – healthcare, education, and government systems
• – industrial automation and IoT environments
• – energy and smart-grid infrastructure
• – research institutions and laboratories
• – decentralized and mobile AI networks

How it fits into the AVA ecosystem

The AVA Node is the physical foundation of the Resonant Intelligence architecture:

• – runs AVA Core locally,
• – executes all resonant optimization modules,
• – connects into RI-Net for distributed intelligence,
• – enables private, decentralized AI infrastructures.

Project status

• – ready-to-start hardware project
• – specification defined and pilot-capable
• – suitable for rapid prototyping
• – low integration risk
• – immediately addressable edge-AI market

AVA Node turns Resonant Intelligence into a tangible system — a measurable, deployable, and energy-efficient AI unit designed for real-world operation.