Roadmap
Q4/2024 – Initial Launch & Browser Node
SparkChain AI Network Launch
Official Introduction: The Spark desktop app allow users to contribute their unused internet bandwidth to the network, earning rewards and participating in the growth of AI.
Release of Spark Lite Node: Provide a lightweight browser-based node solution, allowing participants to easily share compute resources.
Initial Airdrop & User Portal
Earn Points Early: Install your Spark Lite Node and earn real-time points for the resources you share over time.
User Portal Launch: Deploy a portal where participants can manage node settings, monitor contributions, and Points.
Q1/2025 – Telegram Airdrop & Software Node Release
Telegram Airdrop Program
Community Growth: Airdrop via Telegram, incentivizing new users to join SparkChain AI and engage with the project.
Reward Points: Grant points for completing community tasks such as sharing, referrals.
Software Node for PC
Windows, macOS, Linux: Provide a dedicated Software Node that taps into personal computers’ CPU and bandwidth for AI-related tasks.
Security Enhancements: Integrate strong encryption, multi-factor authentication, and regular audits to protect node operations and data flows.
Q2/2025 – SPARK Token Launch
SPARK Token Launch
Release of SPARK Token: Launch the SPARK token with full tokenomics, including staking features and reward systems.
Enable Staking: Allow users to stake SPARK token and earn additional rewards through staking mechanisms.
Resource Consumer Program
AI Workload Integration: Enable businesses and developers to submit AI tasks training, inference.
SPARK Token Listing on DEX: List the SPARK token on decentralized exchanges (DEX) to provide liquidity and enable trading.
Q3–Q4/2025 – Ecosystem and Network Expansion
Expansion of Resource Provider Network
Grow Resource Providers: Increase the number of providers running Spark Lite Nodes, boosting overall compute capacity and strengthening SparkChain AI’s decentralized infrastructure.
Expansion of Resource Consumer Network
Drive Adoption: Encourage AI engineers, businesses, and developers to utilize SparkChain AI’s decentralized compute resources for diverse workloads.
Partnerships with AI Companies
Forge Key Partnerships: Collaborate with AI-driven organizations, integrating their workloads into SparkChain AI to showcase real-world performance and drive broader industry engagement.
Global Outreach
Worldwide Expansion: Continue growing SparkChain AI in multiple regions, onboarding resource providers and consumers globally to foster a truly worldwide compute ecosystem.
2026 – AI-Focused Enhancements
AI Workload Optimizations
Specialized Improvements: Implement targeted enhancements for deep learning, model training, and inference to handle larger, more complex AI tasks.
Automatic Parallelization
Advanced Parallelization: Integrate advanced methods that allow SparkChain AI to distribute large-scale AI workloads across multiple nodes, reducing processing time.
Advanced Monitoring Tools
Real-Time Analytics: Provide performance tracking and analytics, enabling node operators to monitor contributions and optimize resource usage for maximum efficiency.
2027 to 2030 – Global Expansion
Enterprise-Grade Solutions
Scalability & Security: Deliver scalable, secure compute options tailored to large enterprises, ensuring high performance and reliability.
Cross-Chain Interoperability
Multi-Network Collaboration: Collaborate with multiple decentralized networks, enabling AI workloads and compute resources to be shared seamlessly across ecosystems.
Global Decentralized Compute Powerhouse
Vision for 2030: Establish SparkChain AI as a globally recognized network, powering AI workloads across various industries and solidifying its position as a leader in decentralized computing.
SparkChain AI is committed to transforming how AI workloads are processed, offering a decentralized, scalable, and cost-effective compute solution. Join us in building a global, decentralized computing network that propels AI innovation worldwide.
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