Data Infrastructure Is A Lot More Than Storage

The rise of AI and the importance of data to modern businesses has driven us too recognize that data matters, not storage. This episode of the Tech Field Day podcast focuses on AI data infrastructure and features Camberley Bates, Andy Banta, David Klee, and host Stephen Foskett, all of whom will be attending our AI Data Infrastructure Field Day this week. We’ve known for decades that storage solutions must provide the right access method for applications, not just performance, capacity, and reliability. Today’s enterprise storage solutions have specialized data services and interfaces to enable AI workloads, even as capacity has been driven beyond what we’ve seen in the past. Power and cooling is another critical element, since AI systems are optimized to make the most of expensive GPUs and accelerators. AI also requires extensive preparation and organization of data as well as traceability and records of metadata for compliance and reproducibility. Another question is interfaces, with modern storage turning to object stores or even vector database interfaces rather than traditional block and file. AI is driving a profound transformation of storage and data.


Exploring the Importance of Data Infrastructure at AI Data Infrastructure Field Day 1

At next week’s AI Data Infrastructure Field Day, our panel of delegates will explore the critical role of robust data architectures in powering AI applications. Tune in Wednesday and Thursday as we learn about the latest data infrastructure solutions from Solidigm, Google Cloud, Pure Storage, HPE, MinIO, and Infinidat. The sessions will be live-streamed on LinkedIn and Techstrong TV and posted to YouTube afterward.