The unit of useful work
Inference work can be described through requests, tokens processed, latency, and capacity utilization. These metrics belong to infrastructure operations, not guaranteed user returns.
AI concept explained
What is AI inference mining?
AI inference mining explained: useful token generation, compute demand, API routing, and how LLMsRelay maps the concept to Compute Nodes.
Direct answer
AI inference mining is a product term for using compute to generate useful model outputs that applications consume. Unlike crypto mining, the work serves inference requests and API traffic rather than producing hashes.
Routing and demand
A routing layer can direct requests across available model and compute paths based on compatibility, capacity, and service requirements.
Earn implementation
LLMsRelay maps the concept into reviewed Compute Node allocations and ledger entries while keeping GPU-provider integrations outside the current scope.
Frequently asked questions
Is inference mining a blockchain protocol?
Not in this product. It is a plain-language description of useful AI compute and API demand.
Are tokens the same as crypto tokens?
No. LLM tokens are text-processing units used by language models.
Does LLMsRelay expose live GPU metrics?
No unsupported live GPU telemetry is shown. The account focuses on verified workflow and ledger data.
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