Resource Hub

Facilitating seamless interaction between GPU providers and users.

Resource Hub is a core component of Skyops, enabling seamless interaction between resource providers and users. This marketplace facilitates the exchange of computational resources, allowing GPU providers to monetize idle capacity while offering users access to affordable, scalable compute power for AI workloads.

⬣ Decentralized Resource Matching

The Resource Marketplace connects GPU providers with users based on their requirements in a transparent, efficient manner.

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Example Code for Resource Request:

# Request compute resources for training
skyops request-resources --model GPT3 --dataset training_data.zip --budget

# View available resources
skyops resources-list --filter gpu_type=A100

⬣ Dynamic Pricing Model

The marketplace employs a flexible pricing mechanism based on demand and supply. GPU providers are incentivized to participate, while users benefit from competitive pricing.

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Pricing Formula:

$$Price per GPU Hour = (Compute Power Weight + Network Quality Weight) × Task-Specific Factors$$

⬣ Task-Specific Resource Allocation

The marketplace provides task-specific matching for AI workloads, ensuring efficient use of resources.

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Example Code for Task Allocation:

# Allocate resources for fine-tuning
skyops allocate --task fine-tune --model BERT --gpu_type V100 --max_budget

# Monitor allocation status
skyops allocation-status --task-id TASK98765

⬣ Transparent Resource Metrics

Users and providers can access detailed metrics about resources available in the marketplace, ensuring transparency.

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Resource Overview Table:

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⬣ Resource Providers

GPU owners can register their devices to the Resource Marketplace and earn rewards by sharing idle compute power.

Steps to Join as a Resource Provider:

⬡ Register a GPU

skyops register-provider --gpu RTX4090 --bandwidth 200 --cost 6

⬡ Set Availability:

skyops set-availability --hours 20 --node NODE123

⬡ Track Earnings:

skyops earnings --provider-id PROVIDER9876

Example Scenario: A university lab with idle A100 GPUs during the night registers them in the marketplace. These GPUs are then rented out for AI model inference tasks, generating additional revenue.

⬣ Users

Developers, researchers and businesses can utilize the marketplace to access cost-effective resources for their AI workloads.

Steps to Access Resources:

⬡ Submit a Task:

skyops submit-task --model resnet50 --budget 20

⬡ Select Resources:

skyops resources-list --filter gpu_type=RTX4090

⬡ Monitor Progress:

skyops task-status --task-id TASK1234

Example Scenario: A small AI startup uses the marketplace to fine-tune a BERT model on rented RTX 4090 GPUs, reducing their operational costs compared to building their own infrastructure.

⬣ Benefits of the Resource Marketplace

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⬣ Code Example: Full Workflow

Scenario: A researcher needs resources to train a ResNet model.

# Submit training task
skyops submit-task --model resnet50 --dataset images.zip --budget 15

# View available GPUs
skyops resources-list --filter gpu_type=V100

# Allocate selected GPU
skyops allocate --gpu V100 --task TASK12345

# Monitor task progress
skyops task-status --task-id TASK12345

Resource Hub bridges the gap between GPU providers and AI users, offering a transparent, efficient and scalable platform for computational resource exchange. By combining dynamic pricing, task-specific matching and comprehensive metrics, it empowers both contributors and consumers to maximize value.