E2E Networks swings to Rs 73 crore Q2 profit as GPU cloud revenue jumps 411%
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Indian AI cloud firm E2E Networks posted a Rs 72.7 crore Q2 FY27 profit against a loss a year ago, as revenue rose 411% to Rs 223.8 crore on GPU demand.
What Happened
E2E Networks, an Indian cloud computing company that rents out graphics processing units (GPUs) for artificial intelligence work, swung to a consolidated net profit of Rs 72.7 crore in the July-September quarter of 2026-27 (Q2 FY27), against a loss of Rs 13.5 crore a year earlier, according to results reported this week. Revenue from operations rose 411% to Rs 223.8 crore from Rs 43.8 crore, and was up about 43% from the previous quarter. The company credited the jump to Nvidia's Blackwell GPUs, better use of its GPU fleet and higher average prices. During the quarter it also signed a multi-year cloud GPU contract worth about Rs 1,000 crore with an undisclosed sovereign AI company, running until June 2029.
Key Facts
- Consolidated net profit: Rs 72.7 crore in Q2 FY27, against a loss of Rs 13.5 crore a year earlier.
- Revenue from operations: Rs 223.8 crore, up 411% from Rs 43.8 crore, and about 43% higher than the June quarter.
- EBITDA: Rs 171.5 crore, a margin of 76.6%; profit after tax margin 32.5%.
- Growth drivers named by the company: Blackwell GPUs, better utilisation and higher average realisation across its GPU fleet.
- New contract: a multi-year cloud GPU deal worth about Rs 1,000 crore with an undisclosed sovereign AI company, for Nvidia Blackwell GPUs and related services, running to June 2029.
Why It Matters
E2E Networks sells access to high-end AI computing through its cloud platform. A quarter in which revenue grew more than five times over a year, and the business turned from loss to profit, shows how fast that demand is translating into earnings.
The unusually high EBITDA margin of more than 76% reflects the economics of GPU rental: once expensive chips are bought and installed, renting them out at high utilisation can be very profitable. The flip side is that the business depends on buying the latest chips early and keeping them busy. The Rs 1,000 crore contract running to 2029 gives the company a long-term anchor customer for its Blackwell capacity.
For founders and investors, the results point to an opportunity in AI infrastructure built in India. Start-ups building AI products need affordable local compute, and companies that can supply it, or build services on top of it, are in a growing market. The fact that the anchor customer is described as a sovereign AI company also reflects the push for AI systems developed and hosted within the country.
| Measure | Q2 FY27 | Q2 FY26 |
|---|---|---|
| Revenue from operations | Rs 223.8 crore | Rs 43.8 crore |
| Net profit (loss) | Rs 72.7 crore | (Rs 13.5 crore) |
| EBITDA margin | 76.6% | not reported here |
Impact
Short-term: The results and the new contract are likely to draw investor attention to E2E Networks and to Indian AI infrastructure more broadly.
Long-term: If demand for local GPU computing keeps growing, Indian cloud providers could become a key layer of the country's AI ecosystem, though they will need heavy, continuing investment in chips.
Who is affected: E2E Networks' shareholders and customers, Indian AI start-ups that need computing power, and investors looking at AI infrastructure.
Key Takeaway
E2E Networks' turn to a Rs 73 crore profit on 411% revenue growth shows how fast demand for India-hosted AI computing is turning into real earnings.
Questions and Answers
What were E2E Networks' Q2 FY27 results?
It posted a consolidated net profit of Rs 72.7 crore, against a loss of Rs 13.5 crore a year earlier, on revenue of Rs 223.8 crore, up 411%.
Why did E2E Networks' revenue jump?
The company credited Nvidia Blackwell GPUs, better utilisation of its GPU fleet and higher average realisation.
What is the Rs 1,000 crore contract?
It is a multi-year cloud GPU contract with an undisclosed sovereign AI company for Blackwell GPUs and related services, running until June 2029.
What does E2E Networks do?
It is an Indian cloud company that provides computing, including GPUs for AI workloads, from its cloud platform.
Disclaimer: Prepared by the Peepals newsroom from publicly available sources with AI assistance. Information is accurate to the best of our knowledge at the time of publication and may change. Images may be representative. Not professional advice. Report an error via our contact page.
Sourced and fact-checked by the Peepals Global Editorial Team
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