NVIDIA Scandal & AI Selloff In the US: India’s Neocloud Boom Faces Twin Tests

by · Inc42

SUMMARY

  • A selloff in US-listed neoclouds and growing scrutiny of NVIDIA have raised questions about the financing model underpinning the AI infrastructure boom, with potential implications for India's GPU cloud providers.
  • Unlike their US peers, backed by large hyperscaler customers, Indian neoclouds have only limited domestic anchor demand and rely on international customers, government-backed compute requirements and evolving financing arrangements to fund expansion.
  • As NVIDIA’s influence extends beyond GPU supply to financing and strategic partnerships, Indian players face questions around debt exposure, customer commitments, GPU depreciation and whether their infrastructure investments can withstand a global market correction.
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The alleged espionage scandal involving NVIDIA CEO Jensen Huang and the growing scrutiny of the chipmaker’s business dealings with China have added another layer of uncertainty to the global AI infrastructure market already facing questions about its financing model.  

At the same time, political and regulatory resistance to data centre expansion in the US could slow infrastructure investment, putting pressure on companies that have borrowed heavily to build capacity.

While unrelated, these developments present two separate risks to the investment model underpinning the AI infrastructure boom.

The first is already visible in the American stock market. Investors have been selling shares of US neocloud companies since September, with CoreWeave, Nebius and IREN witnessing sharp corrections. The selling intensified through October and into November, as concerns mounted over the sustainability of AI infrastructure spending and the debt these companies have taken on.

The selloff has only intensified talk of an AI bubble, and neoclouds in India face the risk of getting caught in the middle. 

Neoclouds – AI infrastructure providers that offer GPU-as-a-service – have emerged as an important part of NVIDIA’s AI ecosystem. They provide GPU compute to customers that may not have the scale or resources to build their own infrastructure. 

Neocloud business models are capital-intensive, with GPU procurement, data centre capacity, and financing arrangements determining how quickly they can scale up. NVIDIA has played a significant role in supporting this ecosystem through strategic investments and financing arrangements, helping expand the market for its chips beyond traditional hyperscalers. India is increasingly becoming part of this infrastructure buildout.

That buildout serves two demand pools. One is subsidised compute for domestic startups, researchers and institutions under the IndiaAI Mission, which had onboarded over 45,000 GPUs by June 2026. By August, it had approved 237 projects for subsidised compute, with 93.18 lakh GPU hours sanctioned. The other is commercial workloads from customers willing to pay for guaranteed capacity. The first highlights the scale of the government programme, but sanctioned hours do not necessarily translate into sustained usage. To justify their spending, India’s neoclouds are betting on the second.

Among the main Indian players, Yotta plans to spend over $7 Bn on AI infrastructure by the end of FY27 and is targeting a $1.5 Bn IPO, partly to repay debt. ESDS went to the market after the cost of the GPU servers it planned to buy rose from ₹25 Lakh to ₹1.8 Cr. E2E Networks, meanwhile, reported a 411% year-on-year jump in Q2 revenue.

Besides these, the likes of NxtGen, NeevCloud and Neysa are also building their neocloud infrastructure in India in anticipation of a big adoption wave.