STL Expands Data Centre Solutions for AI Infrastructure

Jun 17, 2025
STL has launched a new range of data centre solutions to support AI-driven infrastructure, offering high-performance cabling and connectivity options.

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 our newsletters like Silicon Brief or Daily AI Brief.

Also, consider following us on social media:

AI Chips & Datacenters AI Brief AI Brief (X)
Free newsletter

Silicon Brief

Weekly coverage of AI hardware developments including chips, GPUs, cloud platforms, and data center technology.

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.