Aethir Launches Alpha Test for AI Agent Hosting Platform Aethir Claw

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Aethir Claw, Aethir’s AI agent hosting platform, entered alpha testing on March 25. The platform leverages $400 million in distributed computing resources, bypassing traditional cloud resellers. Users receive isolated VPS environments and can opt for zero provider access to maintain full control. On-chain updates highlight Aethir Claw’s plans to introduce token tracking, on-chain alerts, and whale monitoring. Future updates will support MaaS and open-source model inference, aligning with current AI + crypto trends.

BlockBeats report, March 25: Aethir Claw has completely disrupted the traditional托管 service model of "renting third-party cloud resources for resale" by directly tapping into Aethir’s own distributed computing resources, valued at over $400 million. Through Aethir Claw, users not only gain a fully isolated VPS environment but can also choose the "zero provider access" mode, ensuring absolute root-level data sovereignty over AI agent API keys, conversation logs, and executed actions.


Meanwhile, the platform comes pre-installed with OpenClaw and will undergo deep customization for specific business scenarios in later stages, planning to integrate native crypto capabilities such as token tracking, on-chain alerts, and whale monitoring. It will support payments in cryptocurrencies including ATH and USDT, as well as fiat currencies. In subsequent phases, the platform will launch a "Model-as-a-Service" (MaaS) layer, incorporating open-source large model inference powered by Aethir GPUs, along with text-to-image and video generation functionalities, fully entering the agentic AI application market.


Aethir, the world’s first decentralized GPU infrastructure to offer B300, provides enterprise clients with automated Kubernetes GPU cluster management across a global server network spanning 94 countries and regions. With 435,000 GPU containers deployed across more than 200 nodes, it delivers ultra-low-latency compute access, reducing overall compute costs by 60% to 80%.

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