If You’re Not Thinking About AI, You’re Not Taking Storage Seriously
Everyone in AI is talking about GPUs. Almost no one is talking about storage. At NVIDIA GTC, I sat down with Greg Matson from Solidigm, and this gap became very clear. Because behind every model, every training run, every inference pipeline… there is data. And how you store, move, and access that data changes everything. We talked about what companies are missing when they say they are “all in on AI.”
Most are focused on compute. Very few are rethinking their data and storage strategy. And that creates problems later.
Slower pipelines
Higher costs
Bottlenecks that no GPU can fix
One insight…
The skinny
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