Modernizing HPC & AI Infrastructure with the Unified Data Platform
Your GPUs aren't the problem. Your data pipeline is. Agencies and enterprises are buying faster hardware and wondering why AI still stalls. In this webinar, Hammerspace and Cisco Federal break down the unified data platform that keeps your most expensive asset, your GPUs, actually working.
- Why idle GPUs are the most expensive line item in any AI program, and the three components that have to align to keep them fed
- How the Cisco + NVIDIA + Hammerspace stack unifies the data layer, the network, and the compute into one system, not three products
- How to make your existing storage AI-ready through data assimilation, without a data migration or a multi-million-dollar refresh
- How to prove where your data was, who used it, and where it went, with governance baked into the platform instead of bolted on
90%
of data is unstructured and not AI-ready
Idle GPUs
are the most expensive line item in any AI budget
Years → Days
to production with a validated AI factory design