The "DIY" Approach
- Waste time writing custom data plans
- Struggle to map existing hardware to new rules
- Risk rejection for non-compliance

Writing the technical infrastructure sections for NSF and NIH proposals is tedious and time consuming. So, we wrote the language for you.
Download these boilerplate technical specifications to justify a modern, AI-ready Data Platform in your “Facilities & Resources” section. It’s defensible, technical, and ready to copy/paste.
If your proposal relies on copying petabytes of data between silos, it will fail technical review on efficiency and GPU utilization metrics.
Your next grant needs to justify a Data Platform—an architecture that decouples data from physical storage hardware, ensures data sovereignty, and feeds GPUs at line rate across disparate locations.
“Hammerspace…allows for immense flexibility, immense cost savings, and covers all cluster workload profiles.”
“…The proposed infrastructure utilizes a Data Environment to decouple data from physical storage. This ensures that the 4PB dataset generated by the facility is immediately accessible to the GPU cluster without manual copying…”
Downloadable Assets