AI infrastructure refers to the technology stack (both hardware and software) needed to build, test, train, and deploy AI-powered apps. From GPUs to scale-out flash to data fabrics, competing in the ever-evolving world of AI requires a continuous investment in the latest data technologies.
When developing AI-powered applications at the enterprise level, it’s important to have a clear understanding of all the layers that make up your AI infrastructure. Here’s an example of what an AI technology stack might look like:
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The process of scaling your AI infrastructure from pilot lab to production can easily turn into a costly and time-consuming exercise in DIY-engineering. You might spend months building racks of GPUs, troubleshooting the bottlenecks of legacy storage systems, and finessing open-source software into commodity hardware.
Pure Storage teamed up with NVIDIA to create AIRI®, the world’s first full-stack AI-ready infrastructure. By combining NVIDIA’s DGX A100 servers with Pure’s FlashBlade arrays, AIRI provides a scalable AI solution that’s big, fast, and efficient.
Core benefits of AIRI include:
With AIRI, you get an enterprise-ready AI technology stack upon which you can host machine learning algorithms and AI-powered applications.
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