To successfully implement generative AI (genAI), businesses must understand the requirements for large language models and large-scale AI inferencing environments. This involves building a strong foundation by revisiting existing infrastructure, considering solutions like Dell AI Factory, and tailoring infrastructure to meet specific needs.

A key aspect is enhancing servers for genAI workloads. Traditional CPUs can run large language models (LLMs), but there are limitations, such as speed. GPUs can perform technical calculations much faster and with greater energy efficiency compared to CPUs, making them ideal for LLMs.

Dell’s PowerEdge XE9680 and its successor, the XE9680L, are examples of servers built to support genAI workloads. These servers feature factory-integrated rack-scale architecture and come with support and deployment services for efficient and reliable deployment.

Implementing GPU-accelerated servers that are purpose-built for AI applications can speed up genAI implementation and innovation. This allows organizations to build their genAI workloads with confidence, ensuring they remain competitive in the AI-driven landscape.