Microsoft joins Lightstorm-led consortium to build an India-Southeast Asia subsea cable



Microsoft has joined a consortium led by Singapore-based Lightstorm to build a new subsea cable connecting India with Singapore and Malaysia, the companies announced on Thursday. T

he I-2SEA system will run 3,600 kilometres and is intended to support the AI, cloud and hyperscale workloads that have made India one of the world’s most contested data centre markets.

Alongside Microsoft and Lightstorm, the consortium includes Tata Communications, Singapore’s Singtel, ASEAN Cableship and Japan’s NEC Corporation, which typically handles subsea cable manufacturing and laying for projects of this scale.

The cable is expected to be ready for service in the fourth quarter of 2029, a timeline that gives the group roughly three years to survey routes, secure permits and lay cable across open ocean.

One landing station will sit at Machilipatnam, on the coast of the southern Indian state of Andhra Pradesh, chosen for its direct subsea path to data centre clusters further inland around Hyderabad.

Both Meta and Alphabet have separately announced data centre projects in the region, and a dedicated high-capacity route from the coast is the kind of infrastructure that tends to follow, rather than precede, that sort of hyperscaler commitment.

The timing fits a broader pattern of the last year, in which Microsoft has repeatedly attached itself to sovereign and regional infrastructure projects rather than building everything through its own balance sheet alone.

It has already committed more than $1 billion to Thailand and $3.2 billion to Sweden for cloud and AI infrastructure, on top of a reported $17.5 billion in commitments to expand its footprint inside India itself.

India is the reason this particular cable matters more than most subsea announcements. The country produces and consumes roughly a fifth of the world’s data while hosting only around 3% of global data centre capacity, a mismatch that has triggered a rush of hyperscaler and domestic capital into the market.

Google has pledged $15 billion to a data centre hub in the south of the country, and Reliance’s Jio Platforms has separately built out its own infrastructure ambitions. Jio filed in June for what would be India’s largest-ever IPO, partly to clear debt and free up capacity for its own AI and cloud investments.

Lightstorm itself is a comparatively young entrant riding that wave. The company already operates roughly 50,000 kilometres of fibre, split between 30,000 kilometres inside India and 21,000 kilometres across subsea Pacific routes, and has said it is evaluating an initial public offering as it expands across the Asia Pacific region.

A subsea cable of this size does not resolve capacity constraints on its own. It moves data between coasts faster and more reliably, which matters enormously for AI workloads that depend on shuffling large volumes of training and inference traffic across borders, but the compute itself still has to be built, powered and cooled on land.

What I-2SEA does is remove one of the more predictable bottlenecks between now and 2029, at a moment when every other part of the stack, power, chips, land, is already running short. Other hyperscalers are placing similar bets on Indian infrastructure at a similar pace.

Amazon has committed tens of billions of dollars to its own India programmes, and the Adani Group is pursuing a ten-year, $100 billion build-out of its own, which suggests the country’s capacity gap will take years of parallel construction to close, rather than any single project.

NEC’s involvement is also notable in its own right, given the company’s long track record laying and maintaining transpacific and Asian subsea routes.

None of the consortium members disclosed the project’s cost, and none offered a breakdown of how construction and operating expenses will be split among the six partners. That detail, along with the permitting timelines in each of the three landing countries, will likely surface as the project moves from announcement to construction.



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Bezos’s Prometheus raised $12B at a $41B valuation from JPMorgan, Goldman Sachs, and BlackRock. It builds AI for engineering physical products with 150 employees.

Prometheus, the AI startup co-led by Jeff Bezos, has raised $12 billion in a funding round that values the company at $41 billion. Investors include JPMorgan Chase, Goldman Sachs, BlackRock, DST Global, and Arch Venture Partners, alongside Bezos himself. Total funding now exceeds $18 billion.

The company is building what Bezos calls an “artificial general engineer,” AI tools designed to accelerate the process from design to manufacturing for physical products. Target industries include computing, aerospace, automotive, advanced manufacturing, and drug discovery. Prometheus currently has about 150 employees.

Bezos co-leads the company with Vik Bajaj, a Stanford medical school professor who previously co-founded Alphabet’s Verily health research lab. Bezos started as a founding investor in late 2024 but became so involved he took an operational role. “I became so impressed by what was happening and the potential that I decided I couldn’t sit on the sidelines and I needed to jump in with both feet,” he told CNBC.

This is Bezos’s first operational role in a technology company since stepping down as Amazon CEO in 2021. Prometheus launched in November 2025 with $6.2 billion in initial funding. The earlier reporting valued the round at $38 billion. The final close came in at $41 billion, a 7.9% markup from the figure reported in April.

The company’s pitch is “physical AI,” models trained on real-world experimental data, robotics interactions, and engineering workflows rather than just text and images. Where most AI companies focus on language or code, Prometheus is targeting the hard science of making things, from bridges to chips. The approach is designed to understand the laws of physics, not just patterns in data.

Prometheus has also sought to raise tens of billions more for a holding company that plans to acquire firms it sees as benefiting from the technologies the lab is developing. That would make it not just a startup but a conglomerate, one that develops the AI and then buys the companies that use it.

Bezos’s broader AI portfolio now spans robotics firms Physical Intelligence and Nvidia-backed Generalist AI, plus his continuing role as Amazon’s executive chair. With Prometheus, he is betting that AI’s biggest value is not in chatbots or code generation but in accelerating the engineering of physical objects, the domain where the physical AI race is attracting its largest cheques.



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