What’s really slowing down your AI pipeline? If you’re blaming the GPUs, you may be looking in the wrong place. With most AI projects derailed by data-readiness issues, the way you store and move data is often the real choke point.

Hammerspace argues that three data-management problems will stop you getting AI into production. In this live webinar, Kurt Kuckein and Sam Newman join The Reg’s Tim Phillips to explain what those problems are – and how their AI Data Platform (AIDP), combining Hammerspace’s data layer with NVIDIA’s GPU and software stack, tackles them.

They’ll show where your projects can stumble, and how to avoid AI wipe-outs:

• Problem 1: Unifying fragmented data without painful rebuilds
• Problem 2: Getting data to the GPU fast enough to matter
• Problem 3: Scaling AI workloads cleanly across on-prem and cloud

Speakers:

• Kurt Kuckein, Sr. Director AI Product Marketing at Hammerspace
• Sam Newnam, Sr. Director AI Product Marketing at Hammerspace