AiloNet

AiloNet

AiloNet

03
RESPONSIBILITIES
Compute & Staking
Compute & Staking
Performance Infrastructure
Performance Infrastructure
AI Hosting
Performance Infrastructure
Performance Infrastructure
DELIVERABLES

MainNet

INTRO

AiloNet is an upcoming distributed compute infrastructure that rewards community-run nodes. By staking tokens, nodes become recognized AI hosting servers—handling training, fine-tuning, and inference tasks for Ailo Forge™ models.

Instead of renting expensive centralized servers, AiloNet democratizes AI compute. Anyone with spare GPU or cloud resources can stake tokens, accept tasks, and earn direct payment in return. This leads to a more robust, cost-efficient environment for high-performance AI workflows.

Quick Digest
Decentralized Compute & Staking: No single point of failure; fosters resilience across global node operators. Tokens are awarded to nodes that successfully complete AI tasks.

Decentralized Compute & Staking: No single point of failure; fosters resilience across global node operators. Tokens are awarded to nodes that successfully complete AI tasks.

Scalable & Future-Proof: As user demand grows, AiloNet automatically onboards more staked nodes alongside with Solana.

Scalable & Future-Proof: As user demand grows, AiloNet automatically onboards more staked nodes alongside with Solana.

Transparent Ledger: On-chain records confirm every compute job’s cost, performance, and final payout.

Transparent Ledger: On-chain records confirm every compute job’s cost, performance, and final payout.

AiloNet extends the “AI building AI” philosophy by giving each node a specialized routine for optimizing memory usage, splitting training sets, and verifying results. Node operators can also host inferencing endpoints—letting end-users query LLMs in real time without high latency.

Technical Synergy

  • Powered by Solana: Low-cost, high-speed transactions make micropayments for compute feasible.

  • Load Balancing: A parametric model ensures tasks are allocated based on node reliability and staked amount.

Real-World Impact

Research labs facing sudden computational spikes can tap into AiloNet for GPU power, paying only for what they use. Indie developers fine-tuning smaller LLMs no longer need to buy costly hardware. The entire cycle is automated and trustless, boosting accessibility.

Vision

In the future, we imagine seamless integration of AiloNet with open-world simulations, advanced 3D training, or edge AI tasks. By merging community-led compute with token incentives, AiloNet can scale to meet global AI demands—unifying thousands of nodes into a single, developer-friendly network.