GlobePool has unveiled its latest strategic update focused on the recovery of liquidity in the secondary compute market and innovation in compute leasing models. As global supply chains stabilize and AI adoption accelerates, the compute market is entering a new phase of structural recovery. GlobePool, a leading global cloud compute provider, is driving this transformation by optimizing asset circulation and launching flexible leasing products tailored to diverse user needs.

Market Trends and Insights

Three key trends define the current compute landscape:

• Liquidity Recovery: With GPU supply stabilizing and speculative hoarding subsiding, secondary market activity has surged. Prices for popular models like H100 and H200 have normalized, and delivery times have shortened, improving asset turnover.

• Rise of Leasing Models: SMEs and startups increasingly prefer leasing over building dedicated clusters, reducing upfront investment and operational complexity. Leasing is now a mainstream option for AI training, image generation, and voice recognition.

• Domestic Substitution: Amid global tech restrictions, domestic compute chip and optical module ecosystems are expanding, enhancing infrastructure autonomy and diversity.

GlobePool’s Strategy and Product Enhancements

GlobePool is advancing the compute ecosystem through:

1. Compute Asset Circulation Optimization

The platform introduces a “Secondary Compute Market Matching Service,” allowing users to list idle compute resources for transfer or lease. GlobePool facilitates matching, contract execution, and revenue settlement via smart contracts and multi-currency support, ensuring secure and transparent transactions.

2. Flexible Leasing Product Suite

GlobePool now offers three leasing tiers:

• Elastic Leasing: Hourly billing for short-term tasks and model testing.

• Contract Leasing: Monthly or quarterly billing for stable training and deployment.

• Shared Leasing: Multiple users share a compute node, splitting costs proportionally—ideal for resource-sensitive projects.

All products support GPU model selection, regional node targeting, and API integration for seamless deployment.

3. Dynamic Pricing and Revenue Model

GlobePool’s “Dynamic Yield Allocation Engine” adjusts pricing and revenue splits based on market demand, task type, and resource utilization. Powered by AI scheduling and real-time data, this model enhances pricing efficiency and stabilizes user returns.

User Experience and Support

To ensure a smooth leasing experience, GlobePool provides:

• Real-time monitoring and auto-failover to prevent task disruption.

• Multilingual support across major time zones.

• Transparent contracts and visualized revenue dashboards.

• Custom compute solutions and SLA agreements for enterprise clients.

Industry Impact and Outlook

GlobePool’s innovations are expected to benefit:

• AI Startups: Lower barriers to compute access, faster product iteration.

• Research Institutions: Efficient resource allocation for parallel projects.

• Cloud Ecosystems: Deeper integration of compute leasing with cloud platforms.

Looking ahead, GlobePool plans to expand its global node footprint, integrate domestic compute chips, and develop green energy-powered compute centers, driving the market toward decentralization, efficiency, and sustainability.

Company Statement

GlobePool remains committed to building an open, secure, and high-performance global compute network. Developers, enterprises, and institutions are invited to join the platform and co-create the future of compute services.