🚀 Multi-Tier LLM Cache

NenCache

High-performance multi-tier caching for LLM workloads with P2P sharing, vector quantization, and intelligent prefetching.

What is NenCache?

NenCache is a high-performance multi-tier caching system designed specifically for LLM workloads. Built with static memory allocation and zero-allocation principles, it provides sub-millisecond access to cached embeddings, model outputs, and graph data with intelligent P2P sharing between instances.

Core Features

  • • Multi-tier caching (GPU/CPU/NVMe/Disk)
  • • P2P sharing between cache instances
  • • Vector quantization for compression
  • • Intelligent prefetching with ML
  • • Nen ecosystem integration
  • • Production deployment ready

Use Cases

  • • LLM inference acceleration
  • • Graph database caching layer
  • • Real-time AI applications
  • • Distributed caching systems
  • • High-throughput ML pipelines
Cache Strategy
Primary Strategy:Probabilistic
Fallback Strategy:LRU
Eviction Policy:Hybrid
Performance Targets
Access Latency:<1ms
Hit Ratio:>90%
Throughput:100K ops/s
Memory Management
Static Allocation:100%
Memory Overhead:<5%
Vector Pool:Configurable