Declaration of Invention: Reactive Cascade Accelerator (RCA) Vertical Architecture for Datacenter-Scale Artificial Intelligence Computation

Fuente: Zenodo
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Main Author: Scurin, Pavel
Format: Recurso digital
Published: Zenodo 2026
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author Scurin, Pavel
author_facet Scurin, Pavel
contents <p>This declaration describes the Reactive Cascade Accelerator (RCA), a vertical compute architecture for datacenter-scale artificial intelligence systems. Unlike conventional flat GPU clusters that process raw prompts end-to-end on large models, RCA organizes computation as a cascade of progressively narrower levels from user edge to datacenter apex. Each level either resolves the request locally or transforms it into more compact, structured state before passing it upward. The governing principle is monotonic stream densification: broad token flows at lower stages are progressively condensed into narrow decision flows at higher stages. Resumable State (R-State) serves as the portable inter-cascade interface, enabling higher levels to resume from enriched state rather than reprocessing raw input. In datacenter-scale deployments, the architecture positions large language models as mid-tier reactors rather than terminal authorities, placing a specialized decision accelerator—potentially a quantum processing unit (QPU)—at the apex to handle maximally condensed streams. This defensive publication establishes prior art for the RCA architectural class to prevent monopolization of the disclosed concepts.</p>
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spellingShingle Declaration of Invention: Reactive Cascade Accelerator (RCA) Vertical Architecture for Datacenter-Scale Artificial Intelligence Computation
Scurin, Pavel
Reactive Cascade Accelerator (RCA)
vertical AI compute architecture
datacenter-scale AI inference
edge-to-cloud cascaded inference
stream densification
Resumable State (R-State)
inter-cascade state transfer
hierarchical AI accelerator architecture
QPU as apex decision processor
quantum processing unit for AI
mid-tier LLM reactors
heterogeneous inference pipeline
vertical scaling versus horizontal scaling
compressed computational state
convergent inference streams
defensive publication prior art
<p>This declaration describes the Reactive Cascade Accelerator (RCA), a vertical compute architecture for datacenter-scale artificial intelligence systems. Unlike conventional flat GPU clusters that process raw prompts end-to-end on large models, RCA organizes computation as a cascade of progressively narrower levels from user edge to datacenter apex. Each level either resolves the request locally or transforms it into more compact, structured state before passing it upward. The governing principle is monotonic stream densification: broad token flows at lower stages are progressively condensed into narrow decision flows at higher stages. Resumable State (R-State) serves as the portable inter-cascade interface, enabling higher levels to resume from enriched state rather than reprocessing raw input. In datacenter-scale deployments, the architecture positions large language models as mid-tier reactors rather than terminal authorities, placing a specialized decision accelerator—potentially a quantum processing unit (QPU)—at the apex to handle maximally condensed streams. This defensive publication establishes prior art for the RCA architectural class to prevent monopolization of the disclosed concepts.</p>
title Declaration of Invention: Reactive Cascade Accelerator (RCA) Vertical Architecture for Datacenter-Scale Artificial Intelligence Computation
topic Reactive Cascade Accelerator (RCA)
vertical AI compute architecture
datacenter-scale AI inference
edge-to-cloud cascaded inference
stream densification
Resumable State (R-State)
inter-cascade state transfer
hierarchical AI accelerator architecture
QPU as apex decision processor
quantum processing unit for AI
mid-tier LLM reactors
heterogeneous inference pipeline
vertical scaling versus horizontal scaling
compressed computational state
convergent inference streams
defensive publication prior art
url https://doi.org/10.5281/zenodo.20147443