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Atoma Protocol Overview

Atoma is building the leading decentralized AI compute cloud, leveraging the Sui blockchain for cost-effective, efficient compute payments, and the Walrus layer for secure decentralized data availability and storage. Our aim is to deliver a decentralized, web3-native AI compute experience that rivals traditional web2 infrastructure in both performance and cost, with additional compute verifiability guarantees and both data and model privacy.

This document provides an overview of Atoma’s key components, user interaction flow, security mechanisms, and cost analysis.

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Atoma on the Sui Blockchain

Atoma’s core logic is managed through smart contracts on the Sui blockchain, which coordinates compute resources and handles payments. The main components are:

  1. AtomaDb: Central object storing Atoma’s state, including:

    • nodes: Information about each node.

    • models: Available AI models.

    • tasks: Registered tasks.

    • communal_treasury: Balance of funds for nodes that complete compute actions.

  2. Task Struct: Represents AI compute tasks with fields like:

    • role, model_name, security_level, and price.

  3. Stack Struct: Allows users to pre-purchase compute units for a specific task. Fields include:

    • max_price, total_compute_units, and task_id.

A user acquires a Stack by paying the Atoma contract in advance, enabling flexible compute payments while keeping blockchain interactions minimal.

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Atoma User Flow: Claiming Stack and Interacting with Nodes

The diagram illustrates the user’s interaction with Atoma’s contract and network nodes. This direct user-node engagement reduces gas fees and enhances efficiency by minimizing blockchain transactions for routine tasks.

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Flexible Node Selection for Compute Requests

  1. Single Node: A specific node, selected at random.

  2. Limited Nodes: A finite set of nodes, chosen at random.

  3. Any Subscribed Node: User-selected based on performance criteria.

A forwarding mechanism allows nodes to reassign requests, enhancing load management and network responsiveness.

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Security and Data Availability with Walrus

Atoma uses Walrus as a Data Availability Layer to address potential issues with node liveness and data integrity. Here’s how it works:

  1. User stores a signed request on Walrus.

  2. User sends the request’s blob_id to a node.

  3. Node verifies the request, then performs compute if conditions are met.

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Dispute Handling and Remote Attestation

If a node fails to deliver, users can initiate a dispute. Nodes are required to provide proof via blob_id on Walrus. Failure results in collateral slashing.

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Sampling Consensus and Verifiability

Atoma combines Sampling Consensus and Trusted Execution Environments (TEEs) for secure, private, and verifiable inference:

  1. Sampling Consensus: A single node is selected to process requests, with others randomly verifying results.

  2. TEE Integration: If required, nodes execute requests in TEEs, ensuring secure, tamper-free processing.

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Atoma Compute Cost Analysis

ComponentCost
Renting H100 (80GB) per hour2.5−2.5 - 3
1,000 tokens (Llama3.1-70B)$0.0006
1,000,000 tokens (Llama3.1-405B)$5
Sui Transaction0.01 Sui (~$0.02)
Walrus Storage (1GB/year)~$0.5 (estimated before launch)

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Cost-Efficiency

With competitive GPU pricing, minimal Sui gas fees, and low Walrus storage costs, Atoma offers a cost-effective AI compute solution.

This summary outlines Atoma’s architecture, focusing on decentralized compute efficiency, verifiable processing, and transparent costs. For further technical details, refer to the Atoma Whitepaper.

Trust and Privacy