Manifest Network: Sovereign Cloud Computing Platform

Product lead and co-author. Manifest Network · 2024.

This sample describes the product direction in the 2024 strategy materials. The services and architecture below represent the proposed design.

Platform Overview

Manifest Network was positioned around greater control over compute, storage, and AI infrastructure. The product strategy explored how distributed infrastructure could address customers with specific data residency, privacy, and operational requirements.

The proposed customer segments included enterprises evaluating data sovereignty, developers building decentralized AI applications, and public institutions with jurisdictional constraints on infrastructure.

Core Services

Sovereign Compute

The compute design proposed containerized workloads on distributed nodes, with workload portability, execution verification, and on-chain settlement as architectural goals.

Distributed Storage

The proposed storage layer combined content-addressed storage, configurable redundancy, geographic distribution, and access controls, with integration into existing storage infrastructure.

AI Services Layer

The proposed AI services included inference endpoints, fine-tuning pipelines, and model hosting. The product question was whether deployment controls could meet the privacy and operational needs of the target customer.

Web2/Web3 Integration Strategy

A central design goal was to make the service usable by organizations with existing cloud workflows. Standard cloud APIs and familiar SDK patterns were intended to reduce the integration work required from customers.

The strategy proposed fiat procurement and an abstraction over on-chain settlement, so customers could evaluate the service through familiar infrastructure and purchasing practices.

Token Architecture

The strategy proposed a dual-token structure:

• ·Utility token: denominated payments for compute, storage, and AI services. Staked by node operators as collateral against service SLAs.
• ·Governance token: used for protocol governance, fee parameter adjustments, and network upgrade votes. Accrues value from protocol fee flows.

Target Segments

• ·Enterprises with specific requirements for data residency, access controls, and infrastructure procurement.
• ·AI developers building privacy-sensitive applications where third-party inference is a compliance or competitive risk.
• ·Sovereign and quasi-sovereign institutions requiring jurisdictional control over core digital infrastructure.