The development of decentralized AGI requires more than just advanced algorithms—it demands world-class compute infrastructure. That’s why the ASI Alliance has made strategic investments in global, AI-optimized hardware, combining centralized performance with decentralized accessibility through its growing infrastructure stack.
High-Performance Compute at a Global Scale
At the core of ASI Compute lies a globally distributed network of high-spec machines, purpose-built for AI training and inference at scale. This includes modular Ecoblox ExaContainers, custom-engineered to deliver scalable, high-density compute in data centers across multiple continents.
These units are equipped with a diverse fleet of NVIDIA, AMD, and Tenstorrent GPUs, optimized for both parallel training and low-latency inference. Paired with enterprise-grade ASUS and GIGABYTE AI servers, the infrastructure supports:
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8-GPU NVLink systems, delivering up to 1.8TB/s of memory bandwidth.
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800 Gbps Infiniband, enabling ultra-fast data transfer across clusters for distributed model orchestration.
This backbone forms the high-performance layer of the ASI innovation stack, delivering the raw power required for sophisticated AI workflows—including foundation model training, real-time agent execution, and federated learning across trust boundaries.
CUDOS: Decentralized Compute at the Edge
Beyond centralized power, the Alliance extends its capabilities with decentralized compute infrastructure via CUDOS, enabling open access to community-run hardware.
CUDOS contributes a flexible compute layer that supports:
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Distributed GPU clusters for permissionless AI workloads.
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Scalable storage compatible with S3 standards, ideal for handling large datasets.
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Managed services and orchestration tools that make deploying compute resources seamless for developers and enterprise users alike.
This hybrid approach—combining high-end data center infrastructure with permissionless, decentralized compute—ensures ASI can scale with demand while staying true to its principles of openness, accessibility, and global participation.
Built to Power the Entire Innovation Stack
The compute infrastructure isn’t isolated—it fuels the entire ASI platform, powering key modules such as:
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ASI Compute, which supports model execution, agent deployment, and GPU-intensive inference.
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ASI Train, which enables federated, privacy-preserving training across diverse, siloed datasets.
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ASI Zero and MeTTaCycle, which coordinate multi-agent logic and orchestration.
As the ASI ecosystem grows, this layered infrastructure ensures that developers, researchers, and organizations can reliably build intelligent systems—from agentic applications to collaborative AI models—without needing to manage compute logistics themselves.
Enabling Scalable, Democratized AGI
Through this investment in compute performance, decentralized access, and network resilience, the ASI Alliance is laying the groundwork for a truly open, global AI ecosystem. This infrastructure is more than just a utility—it’s the operational core that enables AI to scale ethically, securely, and sustainably across domains.
Whether you’re training next-generation models, building multi-agent systems, or running inference at the edge, ASI Compute is built to support you.
