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Artificial Intelligence
How FlashStack Supports Generative AI Workloads

FlashStack from Pure Storage and Cisco, along with AHEAD, are delivering AI-ready infrastructure

Although generative AI adoption offers strategic opportunities for most enterprises, it also introduces new challenges. The large and diverse data sets required for generative AI model training and inferencing are pushing the performance limits and capabilities of traditional compute and storage architectures. This means many data centers can no longer handle the physical size, power, and cooling requirements of modern AI infrastructure.

At the same time, building full-stack hybrid infrastructure for generative AI from scratch can be complicated and costly. For example, retrieval augmented generation (RAG) is a common technique to enhance LLMs, but it’s challenging to build scalable and reliable RAG pipelines.

That’s why organizations need to consider a modern software defined infrastructure approach to simplify and optimize their AI infrastructure — and Cisco and Pure Storage have the solution, offering an iteration of their FlashStack reference architecture to address the demands of AI today. FlashStack is a proven AI solution platform with a scalable reference architecture design from application-specific pods to full scale data center virtualization.

In this whitepaper, we’ll discuss how FlashStack can handle modern generative AI workloads, along with the validated designs from Cisco and AHEAD Foundry™ to streamline infrastructure deployment.

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