Hybrid and Cluster AI
Design, scale, observe, and control AI workloads distributed across local servers and rented cloud capacity.
AI operators, Infrastructure builders, Security teams
Design, scale, observe, and control AI workloads distributed across local servers and rented cloud capacity.
Courses in this path
Launch the canonical Truth Surge open course for this step in the path.
Launch Course Renting Gpus in The CloudLaunch the canonical Truth Surge open course for this step in the path.
Launch Course Cost Controls for Cloud GPU WorkloadsLaunch the canonical Truth Surge open course for this step in the path.
Launch Course Hybrid Local and Cloud AI ArchitecturesLaunch the canonical Truth Surge open course for this step in the path.
Launch Course Building An AI Inference ClusterLaunch the canonical Truth Surge open course for this step in the path.
Launch Course Load Balancing for Multiple Local LLM ServersLaunch the canonical Truth Surge open course for this step in the path.
Launch Course Serving LLMs Over APIsLaunch the canonical Truth Surge open course for this step in the path.
Launch Course Hybrid and Cluster AI Telemetry FundamentalsLaunch the canonical Truth Surge open course for this step in the path.
Launch Course What Is Continuous MonitoringLaunch the canonical Truth Surge open course for this step in the path.
Launch CourseContinue from here
Build a working mental model of private AI, select suitable models, and launch a practical local assistant.
View Path Build a Local AI WorkstationTurn available hardware into a secure, usable local inference workstation across common desktop platforms.
View Path Local LLM OperatorInstall, tune, expose, monitor, and maintain local model services with multiple serving options.
View Path