Phaidra's self-learning agents add 10% more compute within fixed data center power
10% more compute
About 10% more compute from the same data center power budget, with improved grid flexibility
Phaidra applied self-learning AI agents built on NVIDIA DSX Flex, DSX Max-Q and DSX Exchange to tune cooling and power allocation in data centers. The result is roughly 10% more usable compute under the same power budget, plus better grid flexibility. Emerald AI is also adopting the platform for power-constrained sites.
The tools behind this win
- PhaidraSelf-learning agents optimizing data center cooling and power allocation
- NVIDIA DSXPlatform components (DSX Flex, Max-Q, Exchange) integrated into agents