Existing Infrastructure Can’t Face the Imaging Future
Installed infrastructures from the past decade can’t handle today’s image analysis requirements. Current infrastructures were mostly built for next-generation sequencing (NGS), and few could predict advances like these:
- Cryogenic Electron Microscopy (CryoEM)—Although around since the 1980s, better detector technology and software has recently led to massive usage that generates terabytes of data every day.
- Lattice Light Sheet (LLS) Microscopy—This relatively new technology enables long timescale, 3D imaging of dynamic biological processes. Like CryoEM, LLS gobbles up storage space.
- Artificial Intelligence (AI) and Machine Learning (ML)—Instead of being mired in manual image analysis, AI and ML let researchers quickly derive insights from the data generated. But AI demands significant processing and storage capacity.
These and other emerging technologies have made it imperative to rethink storage infrastructure. Fortunately, Panasas’ ActiveStor Ultra was engineered to keep you ahead of the curve.
Learn more about these technologies and how mixed workloads will change the way you implement and use HPC storage.
