STL Expands Data Centre Solutions for AI Infrastructure
Sterlite Technologies Ltd has announced the expansion of its data centre portfolio to meet the growing demands of AI-driven infrastructure, as stated in a press release. The new offerings include high-performance cabling and connectivity solutions designed to support hyperscalers, colocation players, enterprises, and telecom service providers.
STL's solutions are engineered to address the challenges of modern data centres, such as lower network latencies and rising network speeds. The products are compliant with international standards like ANSI/TIA-942, TIA-568, and ISO 11801, and come with a 25-year performance warranty. The portfolio includes fibre and copper cabling solutions, pre-terminated multi-fibre systems, and high-density IBR technology for scalable and future-ready deployments.
Rahul Puri, CEO of STL's Optical Networking Business, emphasized the importance of balancing scale, speed, and sustainability in data centre architectures. STL pairs its cutting-edge solutions with bespoke design services to ensure each deployment meets unique requirements, supporting the digital economy's backbone.
We hope you enjoyed this article.
Consider subscribing to one of several newsletters we publish like Silicon Brief.
Also, consider following us on social media:
More from: Chips & Data Centers
Subscribe to Silicon Brief
Weekly coverage of AI hardware developments including chips, GPUs, cloud platforms, and data center technology.
Whitepaper
Stanford HAI’s 2025 AI Index Reveals Record Growth in AI Capabilities, Investment, and Regulation
The 2025 AI Index by Stanford HAI provides a comprehensive overview of the global state of artificial intelligence, highlighting significant advancements in AI capabilities, investment, and regulation. The report details improvements in AI performance, increased adoption in various sectors, and the growing global optimism towards AI, despite ongoing challenges in reasoning and trust. It serves as a critical resource for policymakers, researchers, and industry leaders to understand AI's rapid evolution and its implications.
Read more