GPU infrastructure
Orchestration and resource management for distributed GPU capacity, AI workloads, and visual computing environments.
Inferix × Heaths.AI
From distributed GPU computing to practical AI cloud services. Inferix technology is evolving to support Heaths.AI — connecting GPU resources, AI workloads, MCP services, and visual computing.
The technology layer
Inferix brings together the systems thinking behind distributed GPU computing, intelligent orchestration, and practical integration.
Orchestration and resource management for distributed GPU capacity, AI workloads, and visual computing environments.
A practical infrastructure layer for MCP servers, AI assistants, automation, and the applications that connect them.
GPU rendering workflows, Blender and House3D integrations, and the distributed systems behind 3D applications.
From technology to service
Built on our experience in distributed GPU computing, we're expanding toward practical infrastructure services for developers, AI teams, and visual computing businesses.
Where it connects
The same foundation can support the compute-intensive work behind AI products, 3D production, and connected applications.
Technology heritage
Inferix's work in decentralized GPU computing remains part of the story — now framed as infrastructure experience for the next generation of AI and visual workloads.
Connecting resources across a network to make compute more adaptable, accessible, and useful.
Core technology heritageA concept from Inferix's visual-computing work that links rendered output to verifiable network activity.
Visual computing heritageExtending the foundation toward AI inference, model-serving workflows, MCP services, and integrations.
In developmentThe next layer is already forming
Take the next step toward practical GPU cloud, MCP services, and visual computing infrastructure.
Visit Heaths.AI