EnerSys has introduced the DataSafe Noir lithium-based energy storage system engineered to control how power behaves under real-world and dynamic load conditions. The system is available immediately.. As data centers increase in density, complexity, and reliance on dynamic AI-driven workloads, the challenge is no longer just selecting a battery. It is managing how power systems perform under stress. Decisions based on chemistry, runtime, and cost alone do not address the system-level risk introduced by highly variable, real-time power demand.. DataSafe Noir energy storage system is designed to deliver predictable, controlled system performance under load, including highly dynamic AI-driven demand profiles, enabling operators to manage risk more effectively, deploy infrastructure with greater confidence, and make faster, more informed decisions. The platform is engineered as an integrated system, supporting consistent deployment and defined operating performance in high-density environments.. Compared to publicly available specifications for leading lithium systems, DataSafe Noir energy system delivers more than twice the output power and over 1.7 times greater energy and capacity, enabling more compact deployments and improved utilization of data center floor space.. DataSafe Noir energy system changes how data center power is deployed and evaluated:. Greater control under load: Predictable system behavior in high-density, high-variability environments, including AI-driven load conditions, supported by significantly higher power and energy density. Faster, more confident deployment: Integrated system design reduces deployment complexity and validation effort. Reduced system-level risk: Defined operating performance improves reliability under real-world conditions. Clearer decision-making: System-level design reduces reliance on component comparison and specification analysis. The introduction of DataSafe Noir energy storage system expands EnerSys\u2019 data center portfolio, building on its established DataSafe Thin Plate Pure Lead (TPPL) battery technology and extending EnerSys\u2019 ability to support both proven and next-generation energy storage architectures.. This provides customers with both traditional lead-acid and advanced lithium-based options, enabling selection of the appropriate system architecture for specific operating requirements, supported by a single provider across multiple chemistries and deployment models.. \u201cThe industry has spent years optimizing batteries \u2013 increasing energy density and reducing footprint,\u201d said John Gagge, vice president of business development, network and infrastructure solutions at EnerSys.. \u201cBut the real issue is how the system behaves under stress, particularly in high-density environments. DataSafe Noir system is designed to give operators control over that \u2013 not just improve performance on paper.\u201d. DataSafe Noir energy system is backed by EnerSys\u2019 global installation, commissioning, and service network, providing a single point of accountability across the system lifecycle. The platform is designed for repeatable deployment across hyperscale and colocation environments, where predictability, speed, and operational confidence are critical.. With established global delivery capabilities and service support in key markets, DataSafe Noir energy storage system is available immediately and can be consistently deployed at scale.. For more information, visit enersys.com\/en\/products\/batteries\/datasafe\/datasafe-noir\/?utm_source=dcd&utm_medium=pr&utm_campaign=datasafe_noir<\/p>\n
\u00a0<\/p>","protected":false},"excerpt":{"rendered":"
EnerSys has introduced the DataSafe Noir lithium-based energy storage system engineered to control how power behaves under real-world and dynamic…<\/p>\n","protected":false},"author":2,"featured_media":1731,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-1873","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-center"],"_links":{"self":[{"href":"https:\/\/trustedainews.com\/index.php?rest_route=\/wp\/v2\/posts\/1873","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/trustedainews.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/trustedainews.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/trustedainews.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/trustedainews.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1873"}],"version-history":[{"count":0,"href":"https:\/\/trustedainews.com\/index.php?rest_route=\/wp\/v2\/posts\/1873\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/trustedainews.com\/index.php?rest_route=\/wp\/v2\/media\/1731"}],"wp:attachment":[{"href":"https:\/\/trustedainews.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1873"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/trustedainews.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1873"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/trustedainews.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1873"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}