AI and Data

Cisco’s GPU-ready modular servers provide the high-performance compute needed for AI model training and inference. Organisations can run demanding AI workloads efficiently, maintain enterprise-grade reliability, and scale seamlessly from pilot projects to full production clusters.

Leveraging engineering expertise to secure your AI operations without compromising performance. We provide the visibility required to discover, detect, and protect models and sensitive data, mitigating the risks of third-party and shadow AI. Architecting a robust defence into your infrastructure ensures you can scale innovation with total confidence.

Cisco’s low-latency, high-throughput networking fabrics optimise AI clusters by removing data transfer bottlenecks, improving accelerator utilisation, and delivering predictable performance with built-in segmentation and policy control.

Cisco’s pre-validated AI POD architectures combine compute, networking, and acceleration into repeatable deployment blueprints. This approach accelerates time-to-production, ensures proven performance, supports growth and reduces integration risk.

Nutanix HCI unifies compute, storage, and virtualisation into a single software-defined platform. Simplifying infrastructure management, enabling rapid AI cluster deployment, and delivering built-in resilience across data centre and edge environments.

The Nutanix hybrid cloud platform extends AI workloads across on-premises and cloud environments. It provides consistent operations, seamless workload mobility, centralised governance, and flexible scaling, empowering organisations to deploy AI wherever it’s needed.