Reality Network

available

Why this matters for decentralized AI:

1. Demonstrates viable alternative to centralized GPU clusters
2. Shows 4-bit quantization can maintain model quality at scale
3. Provides blueprint for distributed inference using consumer hardware

Repository contains complete implementation details and benchmarks: https://github.com/leyten/shard

#RealityNetwork #Web3 #DecentralizedCompute

Significant distributed AI benchmark achieved: 30.55 tokens/sec on GLM-5.2 (4-bit quantized) across six geographically distributed NVIDIA RTX 6000 Ada Generation GPUs connected via standard WAN infrastructure.

Key technical details (verified via leyten/shard GitHub repo):

• Implementation uses Python 3.10 with Redis for coordination
• Achieved without specialized networking hardware (InfiniBand/RDMA)
• Features custom quantization and load balancing
• Full code and methodology publicly