Introduction to SpaceX AI Network
The Layer-1 for trusted AI on-chain.
SpaceX AI Network —a tribute to the golden age of AI we are entering. As Arthur C. Clarke famously wrote, “Any sufficiently advanced technology is indistinguishable from magic.” Trusted AI should feel the same: powerful, invisible, and reliable by design.
But today's AI infrastructure is none of those things. Centralized providers dominate the landscape, offering AI inference as black-box APIs with no privacy, no verifiability, and no user control. These systems are fragile, opaque, and exclusionary—especially for enterprises with sensitive data or compliance-critical use cases.
What Is SpaceX AI Network?
SpaceX AI Network is a privacy-preserving, verifiable, decentralized AI execution layer.
It allows users to run powerful AI models—language, vision, and beyond—across a globally distributed network of compute nodes, without trusting any single party. The models remain confidential, the data remains private, and the results are verifiable.
Built as a lightweight Layer-1, SpaceX AI Network supports on-chain verification of off-chain inference using our innovative cryptographic primitives (see Major Innovations):
Equivariant Encryption (EE)
Homomorphic Secret Sharing over Encrypted Embeddings (HSS-EE)
Zero-knowledge proof systems for model correctness (zkDPS), published in KDD 2024 — The Fourth International Workshop on Smart Data for Blockchain and Distributed Ledger (SDBD'24)
Model-agnostic hybrid sharding (BSNS) for scalable distributed execution, published in KDD 2024 — The Fourth International Workshop on Smart Data for Blockchain and Distributed Ledger (SDBD'24)
MetaInf, a meta-learned inference scheduler that dynamically selects the best execution strategy per task and hardware profile, published in Conference on Language Modeling (COLM) 2025 (Main Conference)
The result is a fully decentralized AI network where computation is secure, trustless, scalable, and adaptively optimized—across diverse models and hardware.
How It Works
SpaceX AI Network enables users to run AI models in a way that is private, verifiable, and decentralized—without trusting any single server or company.
The figure below illustrates how a query travels through the SpaceX AI Network:
Overview of SPACEX’s decentralized AI inference workflow—verifiable, private, and horizontally scalable.
Submit a Query A user or dApp submits an encrypted AI query through SpaceX AI’s network interface.
Model is Split and Distributed SpaceX AI breaks the AI model into smaller parts and assigns them to a group of nodes across the network—each node only sees a small piece.
Private Inference is Performed The network processes the query using encrypted data. No node sees the full input or the full model.
The Result is Verified and Returned The network generates a cryptographic proof that the result is correct—then returns the answer to the user.
What Makes SpaceX AI Different
Private by default: No one can see your data, not even the nodes doing the computation.
Verifiable: Every result is backed by cryptographic proof.
Scalable: The workload is spread across a global network—no single node is a bottleneck.
Open: Anyone can contribute models, run nodes, or use the system.
This makes SpaceX AI Network the first AI platform that is trustless, auditable, and built to scale securely, from chatbots to critical enterprise applications.
SpaceX AI Network’s Infrastructure and Marketplace
SpaceX AI Network introduces the first decentralized query marketplace for AI:
A public model store that supports both open-source and proprietary models
Support for LLMs, vision-language models, and other modalities
Token incentives for developers, model reviewers, validators, and queriers
Governance and access policies built into the protocol, not enforced off-chain
SpaceX AI Network model store supports a large number of AI models.
The architecture also allows nodes with limited compute to participate. Model sharding and cryptographic coordination reduce the dependency on top-tier GPUs, democratizing AI infrastructure beyond data centers.
What's Next?
This section covers several more core discussions:
Why SpaceX AI Network Represents the Future of the AI Economy The case for a decentralized AI system that aligns economic incentives and access.
Why Centralized AI Infrastructure Is Broken An analysis of the limitations and risks of today’s closed AI platforms.
Why Existing DeAI Approaches Are Inadequate A critical look at why previous attempts at decentralized AI failed—and how SpaceX AI Network improves upon them.
In addition, later sections will cover SpaceX AI Network’s architecture and design innovations in depth, including cryptographic design, execution workflow, node structure, tokenomics, and model integration pipelines.
Last updated