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Sovereign Serverless AI Backends with Puter.js: Zero Fixed Infrastructure Cost

Deploying browser-native and serverless AI microservices, persistent key-value storage, and decentralized authentication with Puter.js at zero fixed monthly operational overhead.

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Sovereign Serverless AI Backends with Puter.js: Zero Fixed Infrastructure Cost
Visual Topology & System Specification // Sovereign Serverless AI Backends with Puter.js: Zero Fixed Infrastructure Cost

1. Serverless Without Cloud Bills

Traditional cloud architectures (AWS, GCP, Azure) require provisioning load balancers, VPCs, and databases before writing a single line of business logic. For AI prototypes and autonomous agent microservices, this translates to hundreds of dollars in fixed monthly costs before validating market demand.

Puter.js provides a revolutionary serverless abstraction running directly in browser or node environments with built-in hosting, persistent key-value storage, file storage, and AI inference routing at zero fixed baseline cost.

Puter Serverless Schematic
Figure 1: Puter.js Sovereign Backend Orchestration // Benni Master OS v9.4
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Frequently Asked Questions // Engineering Authority

What advantages does Puter.js offer for AI agent hosting?
Puter.js provides zero-configuration hosting, serverless key-value storage, and filesystem APIs that run without managing cloud servers or recurring bills.
Is it suitable for production multi-tenant workloads?
Yes, with tenant-isolated namespaces and client-side encryption, Puter.js serves as an ultra-lean backend layer.
How is Puter.js integrated into Benni Master OS?
Skill 55 governs Puter backend lifecycle, automatic provisioning, and health verification for agent deployments.
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Benni Alencar

Benni Alencar

Chief AI Systems Architect & Founder, Benni Master OS

Specialist in autonomous AI agent systems, deterministic execution protocols, and Zero-Trust architecture. Creator of Benni Master OS v9.4, Reality Lock Protocol, and AEGIS-63 Cyber Sentinel. Pioneering federated tool coordination and multi-agent consensus over Model Context Protocol (MCP).

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