Lightning on Cisco AI Pods: Powering Enterprise AI End-to-End

Cisco AI Pods and Lightning are positioned as an integrated platform for enterprises shifting AI workloads from experimentation to production, combining pre-validated GPU compute, networking, storage, and enterprise software with a unified lifecycle management layer. Cisco AI Pods support data preparation, training, fine-tuning, evaluation, and scaled inference, particularly for private or regulated environments, while Lightning provides developer-oriented tools for workload orchestration, GPU scheduling, experiment tracking, evaluation, deployment, and environment management. Lightning Studios allow nontechnical users to launch applications through low-code templates while enabling engineers to manage complex training, optimization, and production inference without building custom Kubernetes or serving pipelines. The platform supports reproducible, governed collaboration across teams by packaging code, dependencies, and runtime environments, and it operates across on-premises, hybrid, and cloud deployments, including access to Lightning’s 36,000-GPU fleet, multi-cloud marketplace, and existing AWS or GCP capacity.

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