Experience Lattica in motion here.

Our journey into decentralized intelligence began with decentralized connectivity. A robust, efficient peer-to-peer connectivity layer is essential to enabling decentralized technologies of any kind.

Over the past few months, in pursuit of a global peer-to-peer content delivery network (CDN), we unintentionally conducted one of the largest real-world experiments in internet connectivity mapping. Powered by global Sentry Nodes, this effort revealed the vast potential of decentralized systems driven by community participation.

As our original construct of a decentralized CDN matured, its purpose expanded. What began as a targeted effort to deliver content evolved into something far more universal. The architectural primitives we developed—resilience, low-latency routing, and adaptive peer discovery—proved just as critical for the broader demands of decentralized AI. In this new paradigm, data must move quickly, privately, and intelligently, not just to deliver content, but to coordinate intelligence itself.

Today, that vision continues as Lattica: a universal data communication protocol. Built on Gradient Network’s global peer-to-peer infrastructure, Lattica tackles one of the core challenges in decentralized AI: moving data across a heterogeneous, permissionless mesh without centralized intermediaries.

Why Lattica

AI is evolving from a centralized service into a distributed, multi-agent ecosystem. Inference is no longer confined to individual data centers. Increasingly, intelligence is composed across a mesh of devices—consumer GPUs, browser nodes, and edge servers—each contributing to a shared computation.

But building decentralized AI systems isn’t just about compute. It’s about coordination.

How do you deliver model shards, parameter deltas, and execution instructions across unreliable, globally dispersed nodes?
How do you support real-time collaboration between trainers, agents, and inference nodes when they’re scattered across NATs, dynamic IPs, and heterogeneous networks?

That’s the problem Lattica solves. Lattica is Gradient Network’s decentralized data communication substrate. It provides two foundational capabilities:

Global peer connectivity: Lattica stitches together devices behind NATs and firewalls using advanced hole punching and peer discovery, turning isolated machines into a globally addressable mesh.
Intelligent data movement: Inspired by content delivery networks but purpose-built for AI, Lattica distributes model components, intermediate states, and control signals quickly, securely, and efficiently.

This is more than infrastructure—it’s the connective tissue for decentralized cognition.

Whether serving inference tokens or syncing model updates, Lattica ensures the right data reaches the right place, at the right time.

Lattica in Action

As an underlying protocol, Lattica typically operates invisibly, abstracted away from end users. To showcase Lattica’s capabilities, we created a decentralized video streaming experience—an intuitive yet technically rigorous example of real-time peer-to-peer data communication at scale. Instead of relying on ideal, centralized conditions, we deployed it in one of the most constrained and unpredictable environments: the browser extension. It was the perfect setting to push Lattica to its limits.

The system samples a subset of thousands of active Sentry Nodes distributed across the globe. When you hit "play," the video isn’t streamed from a central server—it comes directly from nearby Sentry Nodes selected by the orchestrator and is delivered seamlessly to your browser. There’s no need for special hardware, configuration, or intervention by content servers. What appears to be simple playback is actually a live, coordinated interaction within a global, peer-powered network.

Real-Time Orchestration in Lattica

To enable fast, intelligent data flow across a decentralized mesh, Lattica employs a series of intelligent orchestration mechanisms. These optimizations allow it to adapt dynamically to diverse network conditions and hardware environments. Some examples include:

Before transfer: Model segments or media chunks are pre-indexed and cached across Sentry Nodes. Their availability is continuously updated via the browser extension, creating a live, distributed availability map.
On request: A lightweight SDK activates in the browser, profiling network conditions, detecting NAT types, and initiating peer discovery.
During transfer: Lattica’s orchestrator selects optimal peers based on proximity, bandwidth, and compatibility. Data is streamed via direct WebRTC connections or fallback traversal methods when needed.
After transfer: Telemetry is fed back into Gradient’s learning engine to refine peer selection, load balancing, and routing strategies in real time.

Adaptation to Real-World Conditions

First-frame optimization: Playback or data transfer begins instantly by prioritizing nearby peer delivery, with automatic fallback to centralized infrastructure only when needed.
Progressive fallback: As the session continues, the system dynamically adjusts latency tolerance, maximizing decentralization without compromising performance.

These orchestration primitives were originally developed for decentralized content delivery, but their utility extends far beyond. Today, they form the connectivity backbone for distributed inference, reinforcement learning, agent coordination, and dynamic data exchange, among other demands of decentralized AI systems. This isn’t just performance tuning; it’s the infrastructure layer that enables real-time, scalable coordination across a sovereign, peer-to-peer network.

Looking Ahead

While this specific deployment uses distributed video streaming to surface Lattica’s capabilities, it points to something far more foundational. Lattica isn’t just for content delivery—it’s a universal data motion engine, designed to move model weights, inference tokens, control signals, and file shards across a decentralized mesh. It serves as the communication backbone for decentralized AI.

This implementation brings Lattica’s core principles into view: real-time orchestration, adaptive peer selection, and production-grade performance at the edge. Whether routing model parameters, coordinating distributed inference, or enabling agent communication, Lattica ensures that data flows fast, privately, and reliably.

As AI systems become decentralized, multi-agent, and real-time, coordination becomes the bottleneck. Lattica is the connective layer that makes distributed intelligence coherent.

Experience Lattica in motion here.