Collapse & Return to Top
The demand for more compute performance for applications used by engineering design automation (EDA), risk modeling, or life sciences is relentless. If you work with single-threaded application workloads like these, your success depends on optimizing performance with maximum deficiency and cost-effectiveness along with easy management for large-scale deployments.
To address those challenges, HPE has taken the lead on a new approach: thinking beyond just the server and designing a rack-level solution that gives you the right compute and the right economics so you can get the most out of your infrastructure - and your budget. HPE Apollo 6000 system gives you the lexibility that leads to savings.