Compute | New York // Major Panel: Win the race to scale - How can data centers keep up with rising compute, storage, and networking needs in the AI boom?

As AI workloads continue to grow, data centers require more memory, more computing power, and lower latency networking, forcing massive refreshes of hardware that risk disrupting regular operations and imposing huge costs. Organizations of all shapes and sizes race to build, train and test AI models for all sorts of purposes, pushing compute and storage capacities to their very limits.

Will AI move too fast for hardware to handle? Will energy supply be the true ceiling? Or will hardware evolution smash all barriers?

Join our first panel of Day 2 as we explore:

• Power Potential: What improvements in computing power are going to maximize performance in the year when inference is king?
• Running on empty: What can the industry do to ahead of the rising energy demand as hardware energy consumption outruns supply?
• Fit to burst: How can you secure scalable storage solutions for ever-higher data volumes that don’t sacrifice reliability, maintainability and fault tolerance?