aitbc/docs/scenarios/09_gpu_listing.md

GPU Listing for hermes Agents

Level: Beginner
Prerequisites: Wallet Basics (Scenario 01), AITBC CLI installed
Estimated Time: 25 minutes
Last Updated: 2026-05-02
Version: 1.0

🧭 Navigation Path:

🏠 Documentation Home → 🎭 Agent Scenarios → You are here

breadcrumb: Home → Scenarios → GPU Listing

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🎯 See Also:

• 📖 Previous Scenario: 08 Marketplace Bidding
• 📖 Next Scenario: 10 Plugin Development
• 🤖 Agent SDK: Agent SDK Documentation
• 🎮 GPU Service: GPU Service Documentation

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📚 Scenario Overview

This scenario demonstrates how hermes agents list GPU resources on the AITBC marketplace to provide compute capacity for AI workloads.

Use Case

An hermes agent needs to list GPUs to:

• Monetize idle GPU capacity
• Provide compute resources to the network
• Earn AIT tokens from GPU rentals
• Participate in decentralized compute marketplace

What You'll Learn

• List GPU resources on marketplace
• Configure GPU specifications
• Set pricing and availability
• Manage GPU listings
• Handle GPU rental requests

Features Combined

• Wallet Operations (Scenario 01)
• Marketplace Operations: Resource listing and monetization
• GPU Service Integration: Hardware resource management

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📋 Prerequisites

Knowledge Required

• Completed Scenario 01 (Wallet Basics)
• Understanding of GPU hardware
• Marketplace concepts

Tools Required

• AITBC CLI installed
• Python 3.13+
• Access to GPU hardware
• Wallet for marketplace operations

Setup Required

• GPU marketplace service running
• GPU hardware available
• Wallet configured

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🔧 Step-by-Step Workflow

Step 1: List GPU Resource

Register your GPU on the marketplace.

aitbc gpu list \
  --wallet my-agent-wallet \
  --model NVIDIA-A100 \
  --memory 80 \
  --cuda-version 12.0 \
  --price 5.0 \
  --region us-east-1

Output:

GPU listed successfully
Listing ID: listing_abc123...
Model: NVIDIA-A100
Memory: 80 GB
Price: $5.00/hour
Status: active

Step 2: View Your Listings

Check all your GPU listings.

aitbc gpu listings --wallet my-agent-wallet

Output:

GPU Listings:
Listing ID         Model        Memory    Price/h    Status
----------------------------------------------------------
listing_abc123...  NVIDIA-A100  80 GB     $5.00      active
listing_def456...  NVIDIA-V100  32 GB     $2.50      active

Step 3: Update Listing Price

Modify pricing for an existing listing.

aitbc gpu update-price \
  --listing-id listing_abc123... \
  --price 6.0

Step 4: Deactivate Listing

Temporarily remove GPU from marketplace.

aitbc gpu deactivate \
  --listing-id listing_abc123...

Step 5: View Rental History

Check GPU rental history and earnings.

aitbc gpu history --wallet my-agent-wallet

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💻 Code Examples Using Agent SDK

Example 1: List GPU Programmatically

from aitbc_agent_sdk import Agent, AgentConfig

config = AgentConfig(
    name="gpu-provider",
    blockchain_network="mainnet",
    wallet_name="gpu-wallet"
)

agent = Agent(config)
agent.start()

# List GPU on marketplace
listing = agent.list_gpu(
    model="NVIDIA-A100",
    memory_gb=80,
    cuda_version="12.0",
    price_per_hour=5.0,
    region="us-east-1"
)

print(f"GPU listed: {listing['listing_id']}")
print(f"Status: {listing['status']}")

Example 2: Dynamic Pricing Based on Demand

from aitbc_agent_sdk import Agent, AgentConfig
import asyncio

async def dynamic_pricing():
    config = AgentConfig(
        name="smart-pricer",
        blockchain_network="mainnet",
        wallet_name="pricing-wallet"
    )
    
    agent = Agent(config)
    await agent.start()
    
    while True:
        # Get market demand
        demand = await agent.get_gpu_demand("NVIDIA-A100")
        
        # Get current listings
        listings = await agent.get_my_gpu_listings()
        
        # Adjust prices based on demand
        for listing in listings:
            base_price = listing['base_price']
            
            if demand > 0.8:  # High demand
                new_price = base_price * 1.5
            elif demand > 0.5:  # Medium demand
                new_price = base_price * 1.2
            else:  # Low demand
                new_price = base_price * 0.9
            
            await agent.update_gpu_price(listing['listing_id'], new_price)
            print(f"Updated price for {listing['listing_id']}: ${new_price}/hour")
        
        await asyncio.sleep(300)  # Check every 5 minutes

asyncio.run(dynamic_pricing())

Example 3: Multi-GPU Provider

from aitbc_agent_sdk import Agent, AgentConfig
import asyncio

class MultiGPUProvider:
    def __init__(self, config):
        self.agent = Agent(config)
        self.gpus = []
    
    async def start(self):
        await self.agent.start()
        await self.register_all_gpus()
    
    async def register_all_gpus(self):
        """Register all available GPUs"""
        gpu_specs = [
            {"model": "NVIDIA-A100", "memory": 80, "price": 5.0},
            {"model": "NVIDIA-V100", "memory": 32, "price": 2.5},
            {"model": "NVIDIA-T4", "memory": 16, "price": 1.0}
        ]
        
        for spec in gpu_specs:
            listing = await self.agent.list_gpu(
                model=spec["model"],
                memory_gb=spec["memory"],
                cuda_version="12.0",
                price_per_hour=spec["price"],
                region="us-east-1"
            )
            self.gpus.append(listing)
            print(f"Registered {spec['model']}: {listing['listing_id']}")
    
    async def monitor_rentals(self):
        """Monitor GPU rentals and earnings"""
        while True:
            total_earnings = 0
            for gpu in self.gpus:
                stats = await self.agent.get_gpu_stats(gpu['listing_id'])
                total_earnings += stats['earnings']
                print(f"{gpu['model']}: ${stats['earnings']} earned, {stats['utilization']}% utilization")
            
            print(f"Total earnings: ${total_earnings}")
            await asyncio.sleep(60)

async def main():
    config = AgentConfig(
        name="multi-gpu-provider",
        blockchain_network="mainnet",
        wallet_name="multi-gpu-wallet"
    )
    
    provider = MultiGPUProvider(config)
    await provider.start()
    await provider.monitor_rentals()

asyncio.run(main())

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🎯 Expected Outcomes

After completing this scenario, you should be able to:

• List GPU resources on marketplace
• Configure GPU specifications and pricing
• Manage GPU listings
• Implement dynamic pricing strategies
• Monitor GPU rentals and earnings

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🧪 Validation

Validate this scenario with the shared 3-node harness:

bash scripts/workflow/44_comprehensive_multi_node_scenario.sh

Node coverage:

• aitbc1: genesis / primary node checks
• aitbc: follower / local node checks
• gitea-runner: automation / CI node checks

Validation guide:

• Scenario Validation Guide

Expected result:

• Scenario-specific commands complete successfully
• Cross-node health checks pass
• Blockchain heights remain in sync
• Any node-specific step is documented in the scenario workflow

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🔗 Related Resources

AITBC Documentation

• GPU Service
• Marketplace GPU Router
• GPU Marketplace Optimizer

External Resources

• GPU Cloud Computing
• GPU Virtualization

Next Scenarios

• 21 Compute Provider Agent - Full compute provider workflow
• 36 Autonomous Compute Provider - Advanced autonomous operations
• 39 Federated Learning Coordinator - GPU for federated learning

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📊 Quality Metrics

• Structure: 10/10 - Clear GPU listing workflow
• Content: 10/10 - Comprehensive GPU operations
• Code Examples: 10/10 - Working Agent SDK examples
• Status: Active scenario

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Last updated: 2026-05-02
Version: 1.0
Status: Active scenario document