The growing significance of next-generation computing and applications in our personal and professional lives going forward is immense.
Let’s consider AI. The generative AI segment in particular is poised to explode, thanks to an increase in the use of deep learning (DL) training and machine learning (ML) inference models across an ever-expanding range of business and consumer applications. According to Bloomberg Intelligence, generative AI will grow to 1.3 trillion USD over the next 10 years from a market size of just 40 billion USD in 2022. One of the largest drivers of incremental revenue will be generative AI infrastructure-as-a-service (247 billion USD by 2032) used for a variety of business applications. Many other projections from credible sources are similarly bullish.
The growth of AI and other next generation, high-performance applications will fundamentally alter the design and operation of data centers. Faster, hotter chipsets, larger servers, cluster networks, and rising densities will push the limits of legacy data center infrastructure and designs.
There’s a common belief that next generation infrastructure requires immense capital investment and complete data center overhauls. At Aligned, we’re taking a slightly difference approach: Stay ahead of product innovation and make agility innate in your design. The future is flexible.
It’s Getting Hot (and Dense) in Here
Let’s go back to AI to provide some background. At data centers all over the world, ML training workloads are being used to build various AI models. These models can perform many types of tasks, including translating languages and chatbot conversations. Not only can these models understand complex textual data, but they can also generate and respond with new text that is coherent and grammatically correct.
