Compute Orchestration
ASR Compute Policy Router & Scheduler
Action-State-Reward (ASR) reinforcement policy scheduler for dynamic workload partitioning across heterogeneous GPU clusters, workstations, and edge NPUs.
ASR Dynamic Routing ActiveSub-millisecond Dispatch
Routing Strategy
ASR Reinforcement
Dynamic Pareto optimization
Dispatch Latency
1.42 ms
Decision time per task
Active Routes
4 Pipelines
Heterogeneous hardware tiering
Cost Efficiency
+24.8%
Over centralized cloud GPUs
Active Hardware & Policy Routing Rules
Automatic dispatching based on model size and latency SLA
70B+ Foundation Model Inference
Target: High-End GPU Clustered (A100 / RTX 5090)Max Latency: 250 msMax Cost: 0.15 tNAKRoute: Cloud-Pro-Cluster-EU
DeepSeek-R1 CoT Math/Logic
Target: Mid-Tier Workstation / Mac M4 MaxMax Latency: 500 msMax Cost: 0.05 tNAKRoute: Universal-Edge-Mesh-AP
Edge Vision & Object Detection
Target: Raspberry Pi 5 + Hailo-10H NPUMax Latency: 30 msMax Cost: 0.01 tNAKRoute: Local-Edge-Sentinel-01
TIES/DARE Tensor Merging
Target: Validator Core High-RAM (32GB+)Max Latency: 1200 msMax Cost: 0.50 tNAKRoute: Validator-Consensus-Pool
ASR Multi-Objective Policy Tuning
Adjust tradeoff weights between Cost, Latency, and Proof Security
Cost Optimization Weight (Beta-Cost):40%
Latency Minimization Weight (Beta-Latency):40%
Proof & Security Weight (Beta-Proof):20%