A reservation reduces uncertainty about access to inference resources during a specified period.

// 01

Why it matters

Reserved inference capacity changes how buyers evaluate delivery. The relevant question is not whether a token exists, but whether contract terms map to a service that a provider can actually deliver and a buyer can inspect.

// 02

What to specify

Match latency, memory, traffic shape, data residency, and failover policies to the AI application.

// 03

How to validate

Guarantees need measurable SLOs and remedies; a vague claim to reserved compute without scheduling priority is not enough.

// 04

NeuraMesh status

This topic informs the proposed capacity-claim architecture. The current website describes a reference design, not audited production contracts or verified live inventory.

// Straight answers

Questions, answered.

Does NeuraMesh offer this operationally?

Not yet. These guides explain requirements for a future verified supplier and buyer pilot.

What should I verify before purchasing?

Confirm provider identity, exact terms, usable hardware, price, delivery evidence, and failure remedies outside a reference catalog.

Explore the reference market

Compare the contract, not just the GPU.

These pages explain a proposed infrastructure design. Browse the reference marketplace without assuming a listing is available to buy.

Explore marketplace →