Workload Scheduler
From Task Submission to Result — Coordinated by Code, Not Humans
Skyops simplifies distributed compute by abstracting infrastructure into a programmable, trustless pipeline. Whether you're launching a training job or rendering frames, the Skyops Workload Scheduler ensures tasks are routed, validated and completed across the network — automatically and verifiably.
⚙️ End-to-End Workflow
1. User Authentication
Connect your Web3 wallet to the Skyops platform. This secures your identity and ties all jobs to a unique, verifiable address — no emails, no accounts, just on-chain identity.
2. Define Your Task
Submit a workload using CLI, API, or GUI:
Choose model/framework (e.g. PyTorch, TensorFlow)
Attach datasets or Docker image
Define GPU specs, runtime and memory requirements
Example CLI:
skyops submit-task --model gpt2 --gpu A100 --ram 64 --duration 4h
3. Decentralized Scheduling
Skyops’ protocol-level scheduler evaluates:
Available nodes across the network
GPU type, reputation score, uptime
Data locality & latency constraints
Jobs are then routed to optimal nodes using a real-time, reputation-weighted algorithm.
4. Live Execution Monitoring
Track job progress via:
Task status CLI/API commands
Live dashboard with GPU telemetry, logs and time remaining
Multiple jobs can be batched or chained using task orchestration modules (coming soon).
5. Output Retrieval
Upon completion:
Results are packaged and encrypted
Delivered to your wallet-linked storage (IPFS, Arweave or direct download)
Execution hash and logs are permanently recorded on-chain for transparency
🧠 What Makes the Skyops Scheduler Unique?
🧠 Decentralized Logic Task routing isn't handled by a central entity — it's governed by smart contracts and network metrics.
⚡ Ultra-Fast Matching Jobs are matched with nodes in <5s using real-time healthchecks and a globally distributed node map.
📦 Encrypted Payloads Task data is end-to-end encrypted and nodes only access decrypted assets during active execution.
🛠 Fault Recovery If a node fails mid-task, the job is rescheduled and resumed on another eligible machine.
🔍 Transparency & Billing
All task metrics — runtime, GPU usage, bandwidth, execution integrity — are logged:
Viewable via the Skyops explorer
Used to calculate cost in $SKYOPS or ETH
Auditable by the user, the network and developers
Skyops doesn’t just move data to GPUs — it executes intent across decentralized infrastructure with cryptographic trust. Submit code, pay gas and let the protocol deliver the results.
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