Stateless AI Fabric

Freemium

Machine-Native GPU Compute & Storage Infrastructure for AI Agents

Developer ToolsFreemium

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Type

Saas

Company

Navera

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About Stateless AI Fabric

Navera offers AI Fabric, an on-demand platform for creating and maintaining secure, private, and reliable connectivity between data and AI applications across cloud regions and providers. It also provides the Navera IaC Engine, which simplifies and optimizes Infrastructure as Code (IaC) practices for AI data infrastructure.

How to Use

Use Navera AI Fabric to create secure connections between data and AI applications. Use the Navera IaC Engine to simplify and automate IaC deployments with centralized visibility and automated workflows.

Key Features

On-demand platform for AI data connectivity
Simplified and optimized IaC practices
Pre-built, abstracted IaC modules
Auto-documentation and infrastructure visualization
Dynamic deployment workflow

Use Cases

Reducing deployment time for AI data infrastructure from weeks to minutes.
Saving infrastructure costs by optimizing IaC practices.
Ensuring consistent connectivity abstraction across different cloud regions and providers.

Key Features

On-demand platform for AI data connectivity

Simplified and optimized IaC practices

Pre-built, abstracted IaC modules

Auto-documentation and infrastructure visualization

Dynamic deployment workflow

Pros & Cons

Pros

Fully decentralized – identity and payments are native to the EVM
Deterministic settlement with escrow and evidence-based dispute resolution
Verifiable compute integrity through canary jobs
No vendor lock-in – open permissioned network
Optimized for Apple Silicon with MLX auto-leveraging all chip accelerators

Cons

Requires Apple Silicon (M-series) and macOS 14 or later to run a node or submit jobs
Still in pre-launch phase – only waitlist signups available
Limited to the MLX framework and Apple hardware ecosystem
Dependence on Arbitrum L2 network for escrow and reputation
Primarily designed for agent-to-machine interactions, less suitable for traditional human-in-the-loop workflows

Best For

Reducing deployment time for AI data infrastructure from weeks to minutes.Saving infrastructure costs by optimizing IaC practices.Ensuring consistent connectivity abstraction across different cloud regions and providers.