Scalable AI Infrastructure

For Deep Learning Use Cases

Scalable AI Infrastructure: Designing for Real-World Deep Learning Use Cases report, reference architecture in a 1:5 configurationDeep learning (DL) is enabling rapid advances in some of the grandest challenges in science today: in medicine, physics, and autonomous vehicles. All have one element in common–data. DL is fundamentally driven by data.

As organizations progress from small-scale DL deployments to production, it’s crucial to design an infrastructure that can deliver
high performance and allow independent scaling.

Download the purpose-built solution guide

NetApp has partnered with NVIDIA to introduce a rack-scale architecture enabling organizations to start small and expand the infrastructure smoothly. Download the report and learn how a purpose-built infrastructure can:

  • Allow organizations to deploy deep-learning workloads
  • Handle the unique demands of DL
  • Provide the fastest time to training

Download Now

Thank you for downloading the report “Scalable AI Infrastructure: Designing for Real-World Deep Learning Use Cases.”

Download now.

Learn more about NetApp and Nvidia’s partnership

Check out the “Accelerate Your Journey to AI with NetApp and NVIDIA” video and learn how to simplify, accelerate and integrate your data pipeline for deep learning with NetApp ONTAP AI, powered by NVIDIA DGX supercomputers and NetApp cloud-connected, all-flash storage.


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