MCR TECH INDIA SERVICE
AI Cluster Design.
Training and inference infrastructure
SERVICE OVERVIEW
Review the scope against your environment.
Design a shared GPU environment around model and application requirements, runtime compatibility, datasets, user concurrency, scheduling, network, operations and access controls.
Work included, supported versions, access requirements, timing, commercial terms, validation and handover are agreed for each request. A service listing is not a guaranteed product compatibility or response-time commitment.
Discuss this serviceRelated: reference architectures, HPC & AI applications, and cluster planning.
