The myriad business benefits of AI rapidly came into focus over the past year with the explosion of generative AI and skyrocketing enterprise adoption. In parallel, the realities of AI’s immense power requirements and associated carbon emissions emerged as uncomfortable truths impacting society’s efforts to turn the tide in the fight against climate change and the global energy crisis.
Data infrastructure comprises three foundational technologies: compute, networking and storage. Over the past several decades, there has been enormous innovation in the compute and networking layers—look at theThe storage layer? Not so much. Vintage approaches to storing data worked well for the data management challenges of the past.
If your organization maintains an on-premises data center, chances are it wasn’t designed to support modern networking and next-generation GPUs or to run generative AI and large-scale, data-intensive workloads.