PulseExploreJournal ClubResearchersJournals
Instagram
HomeJournal ClubExplore
Synapse
⌘+K
Synapse
August 11, 2026Open Access

The Unified Latent-State Fabric: Resolving the Inference Memory Wall via GLRP v2.0 and Aegis-KV

View Full Paper
Ask AI
Bookmark
Share

Authors

DPDr Sharanagouda N Patil

Discussion

Loading...

Member takes

Overview

Randomized trial shows improved memory efficiency in large language models, indicating a breakthrough in inference speed.

Key Points

  • This research aims to resolve the inference memory wall in large language models (LLMs) by optimizing memory use and processing speed.
  • Established a mathematically verified framework called Unified Latent-State Memory Fabric.
  • Integrated finite scalar quantization from GLRP v2.0 with Aegis-KV's routing firmware.
  • Evaluated the performance metrics including compression ratio and latency on legacy hardware.
  • Achieved a compression ratio of 384x at the byte-level, significantly reducing memory footprint.
  • Transduced input tensors from 3072 floats to 16 quantized integers while maintaining 0.9617 mean cosine similarity.
  • Demonstrated a reduction in pipeline latency from 19.8 ms to sub-2.0 ms for future edge processing.

Cite This Study

Dr Sharanagouda N Patil (2026) studied this question.

synapsesocial.com/papers/6a7ace3e3401087f2249e35ahttps://doi.org/10.5281/zenodo.21859664
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1The Unified Latent-State Fabric: Resolving the Inference Memory Wall via GLRP v2.0 and Aegis-KV2026
  2. 2Live Verification: The Unified Latent-State Fabric: Resolving the Inference Memory Wall via GLRP v2.0 and Aegis-KV2026
  3. 3Dismantling the GPU-HBM Dependency Loop: Stateless O(1) Memory Virtualization via J.M. Resonance for AI Infrastructure Downsizing2026
  4. 4One Card, One Stack: Constraint-Driven Architecture for Asymptotically Stable Inference over Unbounded Agent Memory2026
  5. 5Project Aletheia V8: The Neural Von Neumann Machine — From Hallucination Control to Reverse-Engineering the LLM's Internal CPU2026