SNJUDescribe the workload
Builders express compute needs in a task format that can be evaluated by participating providers.
SNJU is building a decentralized coordination layer for AI compute. It is designed to let independent capacity, builders, and communities meet through verifiable network rules.
AI compute should behave like shared infrastructure.
The largest AI workloads increasingly depend on scarce, geographically uneven capacity. SNJU proposes a different coordination model: make diverse compute resources discoverable, taskable, and accountable without requiring one operator to own the entire network.
01Open participation
02Verifiable work
03Clear protocol utility
From request to accountable execution.
SNJU is designed as a coordination loop, not a simple marketplace listing. Each step gives participants a clear responsibility and a record that the next step can inspect.
Discover capacity
Providers surface compatible hardware, availability, and execution conditions through network-defined signals.
Run with receipts
Work is intended to produce structured evidence so that results and obligations can be examined.
Close the loop
Protocol rules can coordinate settlement and future reputation inputs without relying on opaque manual reconciliation.
SNJU aligns the network around useful work.
The token is framed as protocol utility for participating in and governing a decentralized compute coordination system. It is not presented as a financial promise.
Coordination
Supports task lifecycle actions and network-level coordination where protocol rules require a shared unit.
Verification
Can underpin challenge, review, and accountability flows that help make reported work more inspectable.
Governance
Provides a basis for community participation in protocol parameters, upgrades, and public standards.
Task flow explorer
WORKLOAD PATH
Inference routing
Routes a compatible request toward capacity with stated runtime conditions, then records an execution receipt for later inspection.
A network built by distinct contributors.
SNJU is designed around roles with different incentives and responsibilities. No single role should need to be the gatekeeper for every workload or decision.
Operators
Make independently owned compute available under transparent participation rules and runtime commitments.
Builders
Bring inference, training, and evaluation workloads that can use distributed capacity without surrendering the workflow to a single provider.
Community
Helps shape standards, governance processes, verification expectations, and the conditions for healthy participation.
Building the conditions for a durable network.
The roadmap describes design priorities rather than a delivery guarantee. Sequence and timing may change as the protocol is tested and reviewed.
Define the workload model, operator participation requirements, and the evidence expected from task execution.
Develop matching, task lifecycle, and receipt concepts that can connect builders with heterogeneous compute capacity.
Refine review and challenge mechanisms that make execution claims easier for network participants to inspect.
Establish a transparent path for community input on evolving parameters, standards, and protocol upgrades.
Read the architecture before you form a view.
The SNJU whitepaper explains the problem framing, proposed protocol layers, participant roles, governance approach, and risks of decentralized AI compute coordination.
Open the SNJU whitepaper