The AO ecosystem, built on Arweave, aims to achieve decentralized, trustless computation. APUS Network, as a GPU acceleration project within AO, focuses on enhancing the efficiency of compute-intensive tasks like deep learning. However, a key challenge in decentralized systems like AO is ensuring the determinism of computation results. Non-determinism—where the same input might produce slightly different outputs across different runs or hardware—undermines the verifiability and trust required for decentralized platforms.

The demand for running complex computations, especially AI inference, directly on decentralized platforms like the AO Computer is growing. Apus Network is tackling this challenge by integrating GPU acceleration into HyperBeam, providing a powerful solution for AO. Critically, this integration ensures deterministic execution, a vital requirement for both the verifiable nature of the AO ecosystem and the predictable outcomes needed for reliable AI applications. This post explores the architecture and technology stack enabling this deterministic GPU capability within HyperBeam.

As decentralized computation evolves, HyperBeam emerges as a powerful client implementation of the AO-Core protocol, enabling distributed computation in a modular and verifiable way. By abstracting hardware resources and standardizing computation through devices, HyperBeam allows a wide range of computational models to operate seamlessly within the AO ecosystem.

This guide introduces developers to HyperBEAM's distributed computing framework through hands-on device extension. Learn how to leverage Erlang/OTP architecture and the Converge Protocol to create custom devices. Beginners will gain practical experience through a calculator device demo, understanding NIFs (Native Implemented Functions) and WASM port communication patterns.

The APUS mint process is now fully live and immutable via a Fair Launch Process (FLP). Designed for transparency and decentralization, the APUS emission follows our carefully structured model outlined in the Whitepaper.

In the AO ecosystem, determinism and verifiability form the cornerstone of decentralized computing networks. At its foundation lies hardware-backed Trusted Execution Environments (TEE), where AO already implements AMD SEV-SNP attestation through HyperBEAM's dev\_snp.erl device. This mechanism enables any participant to cryptographically verify execution integrity via:

We are excited to announce that Apus Network has officially been added to the Permaweb Index (PI), a key development that significantly enhances our ecosystem. This integration ensures that Apus Network is now prominently featured on the AO mint website, offering users direct and simplified access to our ecosystem, while contributing to the broader decentralized web3 landscape.

Apus Network extends AO's capabilities by introducing deterministic GPU resources as an AO Hyperbeam extension, ensuring predictable AI model execution. Rather than acting as an independent layer, Apus enhances AO’s decentralized GPU network by optimizing resource allocation and enabling efficient, low-latency performance for AI workloads. Developers can leverage Apus to seamlessly train, deploy, and scale AI models without centralized bottlenecks.

As Web3 projects continue to grow and evolve, the need for transparent and secure token launches has never been more critical. Apus Network has positioned itself as a pioneer of fair token launches in the AO ecosystem, leveraging cutting-edge technology to create a truly Fair Launch process. In this blog post, we will explore the technical architecture behind Fair Launch Tokens and how Apus Network is using AO’s unique features to maintain fairness and ensure security during the token launch process.