DevNet Mapping
This page provides an overview of Cortensor's DevNet environments, including tested modules, phase objectives, and ongoing developments.
DevNet2 (Phase #1 Testing)
Status: Completed / Network is still running
Scope:
Core Modules & Contracts:
ACL (Access Control List)
IAM (Identity and Access Management)
CognitiveV0 (Initial AI inference and processing module for network task)
NodeStats (Tracking and monitoring node performance)
Runtime (Execution environment for decentralized processing)
Focus Areas:
Stabilization of oracle nodes and miner nodes
Basic AI inference & task execution
Ensuring compatibility across Linux, Windows, and macOS
Enabling CPU & GPU support
Modules Tested:
Basic node operations and execution flow
Initial AI model inferencing capabilities
Performance tracking & logging for miner and oracle nodes
Agents & Binaries:
OracleV1
MinerV1
DevNet3 (Phase #2 Testing)
Status: Early/Mid Feb 2025
Scope:
Includes all DevNet2 features, plus:
Node Reputation & Selection Modules (Scoring and ranking nodes based on reliability and efficiency)
CognitiveV2 (Advanced AI inference capabilities with performance optimizations)
Ephemeral State Testing for User Tasks (Tracking temporary state transitions for user job execution)
Session & Session Module Preparation (Precursor testing for next-phase session management)
Focus Areas:
Node performance tracking
Data persistence & ephemeral state testing
Refining user task execution flow for Session Module
Modules Tested:
Node reputation and selection for optimized job allocation
Performance tracking & benchmarking for miner/oracle efficiency
Ephemeral state tracking for session-based tasks
Agents & Binaries:
OracleV2
MinerV2
Upcoming Phases Objectives:
Session Module & Router Node Development
Dynamic job scheduling enhancements
Optimized state handling for decentralized AI workflows
Make Cortensor Better!
[TODO]
Each phase builds upon the last, progressively enhancing Cortensor’s decentralized AI infrastructure.
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