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:

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.