Bring compute and models to subnets that pay for accuracy, reliability, and low latency. Win on unit economics and uptime.
You supply the “thinking power.” The network routes tasks; you respond quickly and accurately. The better you perform, the better you’re scored and rewarded.
Serve requests for embeddings, agents, diffusion, etc. Match subnets to your strengths.
High availability, predictable latency, graceful degradation under load.
Score-linked emissions for useful work, scaled by consistency.
CPU-friendly; batchable. Throughput and latency are king.
Multi-step + tool use. Concurrency, timeouts, and retries matter.
GPU-heavy; tune presets for quality vs cost. Cache and reuse where possible.
// Simple miner math
rev = tasks * acceptance_rate * reward_per_task
unit_cost = (gpu_hours * price_per_hour + power + ops) / tasks
profit = rev - unit_cost * tasks
// Win by picking subnets where your latency/price profile is advantaged.Prove stability on one subnet → expand.
Lock SLOs; gather 7–14 day consistency data.
Spread load; reuse infra; keep per-subnet dashboards.
Autoscale on queue depth & latency; preemptible where safe.
Match your hardware profile to the task. Favor subnets with steady demand and fair scoring.
Idle GPUs, retries, and latency misses. Batch, cache, and cap concurrency.
Basic transparency — uptime, version, changes — helps validators trust your outputs.
After 2–4 weeks of stable score + positive unit economics. Then expand gradually.