Development Milestones
The Development Milestones track StarMiner’s progress in key technical areas, from initial infrastructure deployment to the long-term scaling of the protocol. Each milestone aligns with specific deliverables and feature rollouts that ensure StarMiner is technically ready to support a global, decentralized GPU compute network.
Phase I — Foundational Infrastructure (Q2–Q3 2025)
Objective: Establish the core infrastructure necessary for StarMiner’s decentralized compute platform.
Key Milestones:
AGPU Token Deployment on Mainnet
Initial minting and distribution for AGPU as the utility token for compute fees.
Integration of AGPU into the smart contract framework for job payment and reward distribution.
StarMiner Compute Client v1
Release of the first version of the Compute Client, allowing node onboarding and GPU benchmarking.
Initial node performance metrics and job execution logging.
Compute Service Contract (CSC)
Launch of the Compute Service Contract system, enabling smart contract-based task execution and payment settlement.
Community Testing (Early Miner Program)
Beta testing with early adopters to validate job routing, execution reliability, and initial feedback collection.
Phase II — Economic Optimization and Reputation Layer (Q4 2025)
Objective: Implement the economic model (pricing, payments) and enhance the reputation system for node performance and quality of service.
Key Milestones:
Multi-Tier Pricing (MTP) Engine Deployment
Launch of the Multi-Tier Pricing model, allowing dynamic pricing based on task urgency, hardware type, and network congestion.
Real-Time AGPU Payments
Transition to streamed AGPU payments, where compute providers are paid based on real-time job progress.
Node Reputation Scoring System
Introduction of a reputation layer based on node performance: uptime, task success rate, and user feedback.
Early test of reputation-driven routing, with priority routing for high-reputation nodes.
AMAX Token Launch
The AMAX token is released for governance, enabling decentralized protocol voting and proposal submission.
Carbon Capture Pool Prototype
Development of a carbon offset pool linked to StarMiner compute jobs for environmental impact tracking.
Integration with a third-party carbon capture provider (e.g., Toucan or Open Forest).
Phase III — Decentralized Governance and Ecosystem Grants (Q1 2026)
Objective: Expand governance, provide funding for ecosystem growth, and ensure StarMiner’s decentralized control over protocol evolution.
Key Milestones:
DAO Treasury Activation
Deployment of the DAO treasury for managing funding requests, grants, and protocol upgrades.
Community voting system introduced for treasury spending decisions.
Voting Incentives
Introduction of voting rewards to encourage active participation in protocol decisions, including governance proposal votes and treasury management.
Compute Vaults
Launch of Compute Vaults that allow pre-funding of compute jobs, ensuring priority access to resources.
Validator Node Launch
Onboarding of validator nodes to verify job accuracy and ensure network security.
Geographic Routing Layer
Implementation of geographical routing to optimize job execution and ensure low-latency compute across regions.
Public ESG Dashboard
Development of a public emissions dashboard that tracks carbon capture efforts, node-level carbon profiles, and environmental impact.
Phase IV — Advanced Privacy and Interoperability (Q2–Q3 2026)
Objective: Enhance privacy features, implement trusted execution environments (TEEs), and enable interoperability with external networks.
Key Milestones:
ZKML (Zero-Knowledge Machine Learning) Compatibility
Introduction of ZKML-powered compute, allowing jobs to run with verifiable privacy while maintaining task integrity.
TEEs Support (Intel SGX / AMD SEV)
Full integration of TEEs for secure, privacy-preserving execution of jobs involving sensitive data (e.g., healthcare, finance).
Compute-to-Data (C2D) Integration
Launch of C2D for privacy-conscious users, where jobs are executed directly at the data’s location without transferring sensitive information off-site.
Cross-Chain Compute Bridging
Development of cross-chain interoperability, enabling external platforms and dApps to request and leverage StarMiner’s compute resources.
Extended Oracle Integration
Expanded oracle framework, including energy pricing or carbon data feeds that influence routing decisions and pricing.
Phase V — Mass Adoption and Sustainability-Linked Scaling (Q4 2026 – 2027)
Objective: Achieve broad adoption, scale the network to meet global demand, and ensure long-term sustainability, especially in compliance with ESG standards.
Key Milestones:
Open Compute Market Launch
Creation of an open compute marketplace allowing users to bid for compute power and access a broader pool of compute resources.
Enterprise SLA Tiers
Introduction of enterprise-grade SLA tiers, offering guaranteed uptime, security, and performance for high-value clients.
Carbon-Neutral Node Certification
Launch of carbon-neutral certification for nodes, offering premium rewards for compliant compute providers.
Global Multi-Region Deployment
Full deployment of StarMiner’s global infrastructure, ensuring redundant, resilient compute availability in all major regions.
Institutional Partnerships
Formal partnerships with universities, research labs, and governments for decentralized AI applications and compute-based research projects.
Ongoing Emissions Optimization
Continuous improvements to the emissions reduction mechanisms, including dynamic AGPU burn rates based on regional energy profiles and task volume.
Ongoing Development Focus (Cross-Phase)
UX/UI Enhancements: Continuous improvement of the user interface, ensuring intuitive navigation for compute submission and node management.
AI Workload Support Expansion: StarMiner will extend its support for next-generation AI workloads, including large language models (LLMs) and reinforcement learning.
Open-Source Tools: Release new developer resources, open-source SDKs, and API integration libraries to make StarMiner more accessible to the broader developer community.
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