From AIDC Engineering to AI Performance
TFD combines infrastructure engineering, GPU cluster deployment, network architecture and AI inference applications, from building the underlying computing environment to intelligent resource management, delivering cross-disciplinary technical integration and project execution.
Facility Design & Compliance
Stable operation of an AI computing environment starts with sound infrastructure planning.
Based on equipment scale, power density and actual deployment needs, TFD integrates machine room space, power, cooling and related engineering, referring to applicable data center standards and safety codes, to help build an infrastructure environment that meets the demands of high-performance AI computing.
Computing, Topology & Integration
High-performance AI computing depends not only on the performance of a single server but on effective integration between compute nodes, network and storage resources.
Based on model computing needs and deployment scale, TFD plans the GPU cluster architecture, network topology and system configuration, integrating compute, storage and network equipment into a deployment environment that supports AI model training and inference workloads.
TFD supports testing models and applications in a cloud environment first, then plans on-premises computing equipment, system configuration and deployment architecture from the validated results and actual needs, so AI applications move step by step into a dedicated computing environment.
Intelligent Computing, Powered by TFD Token Factory.
TFD Token Factory integrates GPU computing resources, model inference and management tools to support model services and resource allocation, and through a unified technical architecture improves the management efficiency and resource utilisation of AI computing environments.
TFD supports model inference through GPU computing infrastructure, connecting model services with AI application needs to build a service architecture from underlying compute to model inference.
The TFD Token Factory platform integrates computing resources, model services and management capabilities, supporting AI platform operations and resource management through the core technology modules below.
Manages multiple AI agents and their tools, supporting multi-agent collaboration and application management.
Balances and allocates hardware computing resources to improve utilisation.
Manages model requests and inference service routing, supporting scheduling across model services.
Analyses resource usage and platform efficiency to help improve resource allocation.
From infrastructure planning and GPU cluster deployment to model inference architecture, TFD helps organizations in every industry assess their technical needs and plan an AI computing environment suited to real-world use.
Contact Us
