Service Requester Nodes
Service Requester Nodes are the primary consumers of computational resources within the StarMiner ecosystem. They initiate workloads, submit tasks, and pay for access to GPU power across the network. These nodes represent developers, AI researchers, dApp builders, enterprise users, and other actors who rely on high-throughput GPU compute but without owning the infrastructure themselves.
In essence, Service Requesters transform StarMiner from an idle resource pool into an on-demand, decentralized compute utility.
Role and Function
Service Requester Nodes:
Initiate Compute Tasks: Submit AI training, inference, rendering, or data processing jobs to the network
Define Job Parameters: Select required GPU type, service tier, region preference, budget, and urgency
Lock AGPU: Pay for compute in StarMiner’s native utility token based on estimated task complexity and demand
Retrieve Results: Access task outputs, logs, and performance reports after completion
Monitor Execution: Track task progress through real-time dashboards or API callbacks
Use Case Profiles
StarMiner is built for a wide spectrum of Service Requesters, including:
1. AI Developers
Training LLMs, diffusion models, or custom architectures
Running GPU-intensive inference pipelines at scale
Performing distributed hyperparameter sweeps or federated learning
2. 3D Content Creators
Rendering scenes using Blender, Unreal Engine, or Cinema4D
Offloading physics simulations and real-time VFX processing
3. Scientific and Academic Institutions
Running simulation-heavy workloads (e.g. climate models, protein folding)
Budgeting compute resources for grant-backed or exploratory research
4. Web3 and DeFi Platforms
Supporting compute-heavy smart contracts, zk-proof generation, or analytics modules
Building decentralized apps that require off-chain processing for user functionality
5. Enterprises and SaaS Providers
Running data analytics, back-end ETL, and ML pipelines
Outsourcing GPU workloads without relying on AWS or Google Cloud
Access and Onboarding
Getting started as a Service Requester Node is streamlined to accommodate both developers and non-technical teams.
1. API Access Programmatic submission via REST or GraphQL endpoints. SDKs available in Python, JavaScript, and Rust.
2. Web Portal Visual dashboard for budget planning, task configuration, and results retrieval.
3. Wallet Integration Support for MetaMask, WalletConnect, hardware wallets, and StarMiner-native wallets.
4. Job Templates Prebuilt scripts and compute profiles for common workloads such as:
LLM fine-tuning
Image-to-text generation
Video transcoding
AI benchmarking
5. Prepayment or Streaming AGPU Billing Tasks can be prepaid or metered using streamed AGPU payments for long-running jobs.
Task Priority and Compute Matching
Service Requesters influence task routing through:
AGPU Budget Size: Higher-budget tasks access higher-tier or lower-latency nodes
Urgency Flagging: Urgent tasks are prioritized in queues, especially in congested regions
GPU Preference: Specify minimum VRAM, model (e.g., A100 vs. 4090), or geographic region
Reputation Staking: Return users or institutional accounts may gain preferential matching
Matching is handled by the Computing Protocol Layer, ensuring load-balancing and SLA adherence across the network.
Monitoring and Management
Service Requesters can track:
Job status: pending, executing, completed, failed
Performance metrics: task duration, AGPU used, provider reputation
Cost insights: compute price per epoch, storage overhead, retransmission fees
Completion certificates: cryptographic proofs of execution
Results are downloadable via IPFS, Arweave, or encrypted cloud endpoints.
Strategic Significance
Service Requester Nodes drive StarMiner’s demand side. Without them, there is no economic engine for compute only idle capacity. Their diverse requirements shape:
Task templates
Network expansion priorities
Protocol development (e.g., new GPU support, pricing models)
They are also key stakeholders in governance, especially as the network evolves to support enterprise integrations, multi-region federation, and cross-chain compute request sourcing.
Summary
Service Requester Nodes activate StarMiner’s infrastructure. By submitting compute-intensive tasks and paying with AGPU, they tap into a global, decentralized compute layer that’s more flexible, transparent, and equitable than any traditional cloud service.
Whether training an AI model, simulating climate systems, or rendering virtual worlds, StarMiner lets requesters consume compute at scale without compromise.
Last updated