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Chrome Extension Features

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Easy Setup Process

One-Click Mining: Simple installation and setup process for non-technical users
  • Download from Chrome Web Store
  • Automatic GPU detection and compatibility check
  • Wallet connection with popular EVM wallets
  • Start earning $TPO tokens immediately
Tensor One Chrome Extension Sign In

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Real-Time Mining Dashboard

Active Mining Interface: Built-in dashboard showing live mining status:
  • Start/Stop mining with one-click controls
  • Real-time task credit counter (145 $TPO shown)
  • Current mining rate display (12 $TPO/hour)
  • GPU utilization and performance monitoring
Tensor One Chrome Extension Sign In

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Mining Control & Monitoring

Flexible Mining Management: Complete control over mining operations:
  • Easy start/stop functionality for mining sessions
  • Task completion tracking and statistics
  • Performance metrics and earnings display
  • Idle state monitoring when not mining
Tensor One Chrome Extension Sign In

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GPU Detection & Hardware Info

Automatic Hardware Recognition: Smart GPU detection and tier classification:
  • Automatic GPU model identification (RTX 5090 shown)
  • Hardware tier classification for reward calculation (Tier 3)
  • Compatibility verification and optimization settings
  • Performance potential assessment
Tensor One Chrome Extension Sign In

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Network Economics

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Mining Rewards Structure

Hardware TierTypical GPUEstimated Daily EarningsTasks per Hour
Entry LevelGTX 1660, RTX 30605-15 $TPO10-20
Mid TierRTX 3070, RTX 407015-35 $TPO20-40
High EndRTX 4080, RTX 409035-75 $TPO40-80
ProfessionalRTX A6000, A10075-150 $TPO80-150
Note: Earnings vary based on network demand, task complexity, and hardware efficiency

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Institutional Client Revenue Flow

client_payment_flow:
  institutional_payments:
    total_revenue: "100%"
    distribution:
      gpu_providers: "80% - Direct to miners"
      staking_pool: "10% - Long-term token holders"
      operations: "10% - Platform development"
      
  payment_processing:
    escrow_period: "Task completion verification"
    payout_frequency: "Daily automatic distribution"
    minimum_payout: "1 $TPO token threshold"

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Technical Infrastructure

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Chrome Extension Architecture

Browser Integration:
  • Native Chrome API integration for system monitoring
  • WebGL acceleration detection and optimization
  • Background processing with minimal resource impact
  • Cross-platform compatibility (Windows, macOS, Linux)
Network Communication:
  • Secure WebSocket connections to Tensor One network
  • End-to-end encryption for all task data
  • Redundant connection failover systems
  • Low-latency task distribution protocols

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GPU Compatibility Matrix

GPU BrandSupported ModelsCompute CapabilityOptimization Level
NVIDIA RTX3060, 3070, 3080, 3090, 4060-4090CUDA 8.6+Fully Optimized
NVIDIA GTX1660, 1070, 1080 seriesCUDA 6.1+Compatible
AMD RadeonRX 6000, 7000 seriesOpenCL 2.0+Beta Support
Intel ArcA750, A770DirectMLExperimental

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Getting Started with Mining

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Quick Start Guide

  1. Install Extension

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Tensor One’s GPU Framework

Tensor One uses distributed GPU resources to handle compute tasks via its GPU Framework. Requests from users or agents are processed into executable jobs and routed to available GPU nodes, ensuring permissionless, programmable, and verifiable access to decentralized GPU compute-optimized for agent-based workloads and developer infrastructure.

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Framework Architecture

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Task Routing & Execution

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1. Request Intake

Incoming tasks trigger from users, APIs, or downstream agents and are received by the Agent Request system. These requests are parsed into standardized execution formats by the Task Compiler, which routes tasks to appropriate compute pools based on availability and priority.

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2. Compute Manager Routing

The GPU Compute Manager serves as the central orchestrator, evaluating:
  • Node availability across the distributed network
  • Current system load and resource utilization
  • Task priority and computational requirements
Based on this analysis, it intelligently routes jobs to the most suitable compute pools.

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3. Task Queuing & Staking

To ensure fairness and protect node providers, the system implements a robust queuing mechanism:
  • Tasks are managed by the Queue Manager if resources are temporarily unavailable
  • The Escrow Smart Contract locks $TPO tokens as collateral for execution
  • This collateral system guarantees equitable use and safeguards resource providers

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4. Execution & Result Handling

Once dequeued, the execution process follows these steps:
  • Tasks run on dedicated GPU Nodes (rented GPU resources)
  • Upon completion, results undergo verification and recording
  • The Outcome Dispatcher delivers outputs to the original requester or downstream agents
  • All execution data is immutably recorded for transparency

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Reward & Settlement System

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Reward and Fee Manager

The system calculates and manages all financial aspects of compute operations:
  • Compute payouts for GPU node providers
  • Refunds for failed or cancelled tasks
  • Staking rewards for network participants

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TPO Token Engine

Manages comprehensive on-chain financial operations:
  • Compute fee disbursement to node operators
  • Escrow release upon successful task completion
  • Incentive distributions for network growth
  • Fee transfers including refunds and staking rewards
The TPO Token Engine ensures trustworthy and transparent token flow connected to actual compute activity, handling all on-chain transfers with cryptographic security.

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Key Features

  • Permissionless Access: Open network allowing any user or agent to access GPU resources
  • Programmable Infrastructure: API-driven compute allocation suitable for automated systems
  • Verifiable Execution: Cryptographic proof of task completion and resource utilization
  • Agent-Optimized: Designed specifically for autonomous agent workloads and developer infrastructure
  • Decentralized Architecture: Distributed GPU network ensuring resilience and scalability
This framework provides the foundation for scalable, decentralized AI compute, enabling developers and autonomous agents to access GPU resources on-demand while maintaining security, transparency, and fair compensation for all network participants.