Virtualization and AI: A Complex Integration

For years, enterprise virtualization has been a stable and reliable component of the IT infrastructure. However, the advent of artificial intelligence (AI) is challenging this paradigm. AI workloads, with their high computing and memory demands, often exceed the capabilities of traditional virtualized infrastructures.

Companies are therefore faced with the need to rethink their IT architectures to adequately support AI. This may involve adopting new technologies, such as dedicated GPUs and high-performance storage solutions, as well as optimizing existing configurations to maximize efficiency.

For those evaluating on-premise deployments, there are significant trade-offs between performance, costs, and data control. AI-RADAR offers analytical frameworks on /llm-onpremise to evaluate these aspects.