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
Open course in the Local LLM catalog: Cloud GPU Fundamentals.
Launch Course Renting GPUs in the CloudOpen course in the Local LLM catalog: Renting GPUs in the Cloud.
Launch Course Cost Controls for Cloud GPU WorkloadsOpen course in the Local LLM catalog: Cost Controls for Cloud GPU Workloads.
Launch Course Hybrid Local and Cloud AI ArchitecturesOpen course in the Local LLM catalog: Hybrid Local and Cloud AI Architectures.
Launch Course Building an AI Inference ClusterOpen course in the Local LLM catalog: Building an AI Inference Cluster.
Launch Course Load Balancing for Multiple Local LLM ServersOpen course in the Local LLM catalog: Load Balancing for Multiple Local LLM Servers.
Launch Course Serving LLMs over APIsOpen course in the Local LLM catalog: Serving LLMs over APIs.
Launch Course Hybrid and Cluster AI Telemetry FundamentalsOpen course in the Local LLM catalog: Hybrid and Cluster AI Telemetry Fundamentals.
Launch Course What is Continuous Monitoring?Open course in the Explainers catalog: What is Continuous Monitoring?.
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