JANCTION Announces Business Partnership with Swan Chain: What it Means

JasmyLab Inc. has announced that its decentralized GPU cloud platform, JANCTION, has entered into a business partnership with Swan Chain, an AI-focused Layer-2 blockchain network.

The agreement gives JANCTION access to approximately 25,000 computing resources, including CPUs, within the Swan Chain ecosystem. The integration is designed to expand JANCTION’s decentralized GPU cloud capacity and improve system availability for high-performance workloads.

The announcement was published on February 10, 2026, through official X accounts associated with JANCTION and Jasmy leadership as part of the company’s “#50weeksIR” investor relations series.

What Does the Partnership Entail?

Under the agreement, JANCTION will interconnect its decentralized GPU cloud with Swan Chain’s distributed infrastructure. Swan Chain operates across 113 global locations and includes more than 500 computing nodes within its DePIN (Decentralized Physical Infrastructure Network) ecosystem.

By linking the two networks, JANCTION will expand its computing procurement capacity and strengthen redundancy across geographically distributed nodes. The integration is structured to support both on-demand workloads and distributed GPU processing.

The partnership focuses on infrastructure scaling rather than token price performance. It expands compute availability for enterprise and AI workloads that require consistent, high-capacity processing.

Why GPU Capacity Matters for AI and Scientific Computing

Demand for GPU resources has increased due to growth in:

• Generative AI training and inference
• Machine learning model deployment
• Scientific computing
• High-speed rendering and simulation
• 3D/CAD workloads
• Video production

GPU shortages and concentration within centralized cloud providers have created cost and availability constraints. Decentralized GPU networks attempt to address this by aggregating distributed compute resources into accessible marketplaces.

JANCTION operates in this segment through two core services: GPU Pool and GPX.

How the Partnership Expands JANCTION’s GPU Pool

On-Demand Access to 25,000 Computing Resources

JANCTION’s GPU Pool service offers on-demand cloud-based GPU rental. Through the Swan Chain integration, JANCTION can access approximately 25,000 computing resources across the Swan Chain ecosystem.

These resources include both GPUs and CPUs. They will be managed through unified allocation mechanisms, enabling JANCTION to combine internal capacity with Swan Chain’s external network.

This expansion supports:

• Rapid provisioning during high-load AI training
• Increased capacity for large-scale model training
• Greater availability during traffic spikes
• Broader workload distribution

The result is a larger aggregated compute pool available through JANCTION’s decentralized marketplace.

GPX Distributed Cloud Processing: Phased Node Integration

JANCTION’s GPX framework enables parallel processing across multiple GPUs in distributed environments.

As part of the partnership, JANCTION plans to gradually integrate more than 500 Swan Chain computing nodes into GPX. This rollout will proceed through validation and development phases.

Technical Objectives of GPX Expansion

The GPX integration aims to:

• Optimize latency using geographically distributed nodes
• Improve redundancy to reduce downtime risks
• Enhance distributed parallel computation efficiency
• Strengthen system availability for enterprise workloads

By leveraging nodes across 113 locations, JANCTION intends to reduce single-region dependency and increase resilience during infrastructure disruptions.

The phased implementation approach allows performance testing and operational validation before full-scale deployment.

What This Means for Enterprise and AI Users

For users of JANCTION’s GPU Pool and GPX services, the partnership may result in:

• Higher on-demand compute availability
• Expanded distributed GPU access
• Improved redundancy
• Geographic diversification of nodes
• Increased capacity for AI training workloads

The phased integration approach suggests gradual performance scaling rather than immediate full deployment.

Conclusion

The partnership expands JANCTION’s decentralized GPU cloud capacity by connecting to approximately 25,000 external computing resources across 113 global locations. It strengthens the GPU Pool’s on-demand scale and supports phased expansion of GPX distributed processing across more than 500 nodes.

The agreement focuses on infrastructure growth, improved availability, and distributed system resilience. For AI developers and enterprise users, the integration expands compute access within a decentralized marketplace built on a Layer 2 blockchain architecture.

Sources:

• Janction Medium: Business Partnership Announcement 
• Janction Global X Post: Short Details of the Partnership 
• CFO’s X post: Confirmation of the partnership