Digital infrastructure provider Lightstorm secured a ₹2,500 crore fully underwritten 10-year debt facility from IndusInd Bank to build "AI fibre highways" across India. The network will link data centre hubs in Mumbai, Chennai, and Hyderabad directly to Southeast Asian AI zones, supporting growing artificial intelligence and cloud workloads.
MUMBAI — Indian network infrastructure provider Lightstorm on August 10, 2026, announced it has secured a ₹2,500 crore fully underwritten debt facility from IndusInd Bank. The 10-year funding agreement will finance the deployment of dedicated, ultra-low-latency "AI fibre highways" designed to connect major data centre clusters across India and interlink them with hyperscale artificial intelligence zones in Southeast Asia. The expansion marks the largest single debt raise targeted specifically at AI-focused cyber infrastructure in India to date, addressing the growing bandwidth demands of enterprise artificial intelligence workloads and cloud computing networks across the Asia-Pacific region.
High-Speed Fibre Infrastructure to Link Core Indian Data Hubs
The primary objective of the ₹2,500 crore debt deployment is the establishment of hyper-scalable terrestrial fibre corridors across India’s core technology and data transit centers. According to company disclosures, the expansion will link primary data centre clusters in Mumbai, Chennai, and Hyderabad to support high-throughput, real-time data movement.
The infrastructure is engineered to process massive east-west regional data flows generated by large language model (LLM) training and high-scale inference workloads. By minimizing route hops and utilizing high-capacity optical routes, Lightstorm aims to deliver metro-level latency below 1 millisecond between major server facilities.
Integration with Regional Subsea Cable System
This debt facility directly complements Lightstorm's broader international infrastructure strategy. The raise comes shortly after the company announced its partnership in the I-2SEA subsea cable system, a 3,600-kilometer subsea network connecting India with Malaysia and Singapore.
Lightstorm and Microsoft serve as co-owners of the I-2SEA project alongside a global technology consortium that includes Tata Communications, Singapore Telecommunications (Singtel), Telekom Malaysia, and NEC Corporation. The new terrestrial AI fibre network will terminate directly into subsea landing stations—such as Machilipatnam in Andhra Pradesh—creating an end-to-end network backbone between domestic Indian data clusters and hyperscale tech ecosystems across Southeast Asia.
Industry Impact and Market Context
India's data centre capacity is expanding rapidly, with industry projections indicating operational capacity could exceed 2.8 gigawatts in the coming years due to heavy investments from hyperscalers and cloud providers. Traditional multi-protocol label switching (MPLS) setups struggle under the bandwidth intensity required by generative AI models. Dedicated utility-grade fibre networks are increasingly viewed as critical infrastructure to support these computational demands.
Backed by global private equity firm I Squared Capital, Lightstorm’s network expansion connects over 250 data centers and 19 cloud availability zones, with plans to scale coverage to 29 primary cloud zones across the region.
Official Sources Section
According to official corporate statements and financial disclosures:
Lightstorm Telecom Connectivity Release: Official statement by Amajit Gupta, Group CEO and Managing Director.
IndusInd Bank Financing Terms: Underwritten 10-year credit facility filing.
Regulatory Filings: Credit assessment disclosures verified by
CARE Ratings.
Quote Section
"This entire raise of ₹2,500 crore is going to fund what we think is the first large fundraise for AI cyber infrastructure across India," stated Amajit Gupta, Group Chief Executive Officer and Managing Director of Lightstorm. "The project will provide the essential connectivity backbone for AI data centres across India and Southeast Asia, enabling low-latency and high-throughput transmission required by next-generation digital applications."
Why It Matters
The ₹2,500 crore debt facility establishes dedicated optical infrastructure designed specifically for artificial intelligence traffic in India. By connecting data hubs in Mumbai, Chennai, and Hyderabad to international landing stations, the network reduces latency and increases bandwidth capacity. This infrastructure enables Indian enterprises and cloud providers to train and deploy advanced AI models at global scale without experiencing network bottlenecks.
Key Facts at a Glance
₹2,500 Crore Debt Facility: Secured from
IndusInd Bankunder a 10-year fully underwritten agreement.
AI Fibre Corridors: Building high-capacity optical networks connecting Mumbai, Chennai, and Hyderabad.
Cross-Border Linking: Integrates domestic server clusters with international AI zones in Singapore and Malaysia via the I-2SEA subsea cable.
Consortium Partnerships: Supported by I Squared Capital, working alongside Microsoft and regional telecom operators.
FAQ Section
Q1: What will the ₹2,500 crore debt facility be used for?
The funds will be used by Lightstorm to build dedicated, high-capacity "AI fibre highways" connecting data centre hubs in India with international AI zones in Southeast Asia.
Q2: Which financial institution provided the debt facility to Lightstorm?
The ₹2,500 crore fully underwritten 10-year debt facility was provided by IndusInd Bank.
Q3: How does this terrestrial fibre network link with subsea cable systems?
The domestic fibre network connects to the I-2SEA subsea cable system co-owned by Lightstorm and Microsoft, providing direct connectivity between Indian data centers and hubs in Singapore and Malaysia.
Q4: Why are specialized AI fibre networks needed compared to traditional cables?
AI workloads, including large language model training and real-time processing, require ultra-low latency and massive east-west data throughput that legacy network configurations cannot handle efficiently.
Source: Official statements issued by Lightstorm, loan facility disclosures from IndusInd Bank, and filings from CARE Ratings.