Axe Compute (NASDAQ: AGPU) has completed its corporate restructuring (formerly POAI), and the enterprise-level decentralized GPU computing power Aethir has officially entered the mainstream market.

CN
3 hours ago

Predictive Oncology today announced its official rebranding to Axe Compute, and it will be traded on NASDAQ under the stock code AGPU. This brand transformation signifies that Axe Compute will operate as an enterprise-level entity, officially commercializing Aethir's decentralized GPU network, providing enterprise-grade computing power services with guaranteed capabilities for AI companies worldwide.

The core computing infrastructure plan of Axe Compute is supported by the Aethir Strategic Compute Reserve (SCR). This model aims to address the computing power supply bottlenecks faced by current AI companies in training, inference, and data-intensive workloads through predictable GPU reservations, dedicated computing clusters, and enterprise-level SLAs.

Decentralized Computing Power Enters Mainstream U.S. Market

With Axe Compute listing as AGPU on NASDAQ, decentralized GPU infrastructure has entered the mainstream corporate and capital market landscape for the first time in the form of a U.S. publicly traded company. Axe Compute will serve as the front-end delivery and contract entity for corporate clients needing compliant, stable, and scalable computing resources, while Aethir will continue to operate as the underlying decentralized GPU-as-a-Service infrastructure.

This structure is seen as an important bridge connecting the Web3 decentralized computing network with the Web2 enterprise-level computing demands, allowing corporate clients who previously found it difficult to adopt decentralized infrastructure directly to utilize distributed GPU resources within familiar compliance and procurement frameworks.

Aethir Strategic Compute Reserve Supports Enterprise-Level Delivery

The Aethir Strategic Compute Reserve is a crucial component of Aethir's decentralized GPU network, designed not merely to passively hold digital assets but to actively deploy computing resources into enterprise workloads, achieving commercial returns through computing utilization rates and continuously expanding computing supply capabilities.

As of now, Aethir's decentralized GPU network has covered 93 countries and over 200 regions, deploying more than 435,000 GPU containers, supporting mainstream high-end computing hardware including NVIDIA H100, H200, B200, B300, providing foundational support for global AI, gaming, and high-performance computing scenarios.

New Computing Power Delivery Model for AI Companies

In the current AI industry context, GPU procurement cycles are lengthening, centralized cloud services are facing severe queuing issues, and computing power prices are fluctuating significantly. Axe Compute states that its enterprise-level computing model based on the Aethir network aims to provide customers with:

· Guaranteed GPU reservation mechanisms

· Dedicated training and inference clusters

· Bare-metal performance, avoiding virtualization losses

· Multi-region deployment capabilities

· Enterprise-level SLAs and compliance contract structures

This model attempts to strike a balance between the distribution advantages of decentralized computing power and the standards of enterprise-level delivery.

Important Node for Web3 Infrastructure Expanding into Enterprise Market

The industry widely believes that Axe Compute's listing provides a publicly assessable sample of decentralized AI infrastructure for enterprises and capital markets. As enterprise-level demand enters the Aethir network through Axe Compute, the commercialization path of decentralized GPU computing is gradually transitioning from the experimental phase to large-scale implementation.

Officials have stated that in the future, Axe Compute's enterprise computing deployments will continue to operate based on Aethir's decentralized GPU network, promoting the practical application of decentralized infrastructure in the AI industry.

This article is contributed and does not represent the views of BlockBeats.

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