Sterlite Technologies's US arm launches Neuralis suite Back
<P>STL Optical Connectivity NA, LLC, (STLOC), a U.S. subsidiary of STL (Sterlite Technologies) announced the U.S. launch of Neuralis, its flagship suite of data center connectivity solutions, at Data Center World 2026 in Washington, D.C. </P> <P>As AI, hyperscale computing, and edge workloads redefine the digital landscape, STL Neuralis emerges as the central nervous system for modern data centers. Drawing its name from the intricate, interconnected pathways of a neural network, STL Neuralis portfolio is designed to provide the seamless connectivity and ultra-high-speed processing power required to sustain today's most demanding data center environments.</P> <P>Neuralis is the result of deep co-creation with STL's customers, solving density and space challenges for data center builders. With a nationwide presence, STLOC is committed to helping U.S. Data Center operators scale their AI infrastructure with speed, reliability, and high-quality products. </P> <P>Modern AI data centers are shifting from traditional North-South traffic to intensive East-West traffic patterns, driven by front-end and back-end networks and AI training workloads. Neuralis addresses these challenges by offering a robust, integrated foundation that scales effortlessly.</P> <P>The STL Neuralis suite is categorized into two mission-critical pillars: </P> <UL> <LI>Maximizing the AI Whitespace: Utilizing ultra-high-density, MMC and MPO cabling, Neuralis supports the massive fiber counts required by GPU clusters. By moving terminations to the factory, STL reduces onsite labor risks and accelerates deployment timelines.</LI> <LI>High-Speed Data Center Interconnect (DCI): Engineered for the Data Center campus edge, this infrastructure ensures petabyte-scale data moves seamlessly. The flagship Celesta IBR series leads the industry with ultra-compact cables featuring up to 6,912 rollable ribbon fibers, available in SM A2 fiber with 8,12 &amp; 16F ribbon, designed to withstand the intense thermal and safety demands of AI deployments. </LI></UL>