Boom in AI Inference loads?
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While i agree that power requirements for DC will increase a lot, but DC as a customer segment is just a fraction of revenue of the for power companies, so I dont think DC growth will have any material impact on them.
Better proxies would be specialized cooling solution providers, electrical equipment providers (again limited impact) etc
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Did anyone attend the AGM. I can’t find the recording anywhere. Any summaries?
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Nvedia CEO talking about the partnership with E2E and yotta for AI ( he named the company as end2end networks.I hope he is talking about e2e).
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NVIDIA CEO has been selling too, they’re just taking some chips off the table before the AI hype cycle is over.
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Reduction in promoter shareholding is due to preferential issue and ESOPs.
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Dell technology partners with E2E networks…
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Finally good news for E2E networks, they can now participate as primary bidder with Meity lowering turn over to qualify…
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DO is now launching H100, E2E has really left a lot of of players in the dust in terms of the software stack. If they were to scale the operations to overseas DCs, I don’t see why they can’t compete with the smaller players internationally.
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A note on micro data centres prepared by people+ai. It covers the categories of Data Centre players in India, the advantages of micro data centre over traditional ones and the players operating in India.
[OCC]+Micro+is+the+new+mega_+A+note+on+micro+data+centres (1).pdf (2.3 MB)
I have uploaded the pdf directly due to link failure.
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Can u share the pdf again?
The one u shared has expired.
Thanks
E2E Networks Partners with People+ai to Unlock Access to Compute at Scale
https://nsearchives.nseindia.com/corporate/E2E_08102024185816_PressRelease08102024.pdf
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Nvidia H200 GPU getting added to E2E networks kitty. H200 GPU is 45% higher computing speed as compared to H100 GPU.
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If anyone at E2E is reading this, your monthly newsletter is really good!
I am subscribed for several months and this month’s was chef’s kiss.
I didn’t get a feeling of being “sold” to at all unlike a lot of other tech newsletters I get. Further, the pace of updates and releases is exemplary. I can imagine the breackneck speed the dev team is going through.
A few feedback points:
- Sending it from an email ID other than sales would be good
- Have a link to a blog/page with details/documentation to the release of the feature/update would allow those with the technical inclination to get more acquainted or get started.
- If a blog/changelog isn’t publicaly available, it should be. I remember seeing videos detailing how to do things like tutorials if those are done for major features like releasing support for a new database would be great!
Cheers!
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Competitive intensity in the GPU cloud market in India as of today (Note - it consist of Indian companies only and not the hyperscalers of the west).
While going through the recent newspaper articles and company fillings i have found out that following companies are providing or will start providing GPU cloud services :
- Shakti Yotta Cloud - Biggest in the terms of capacity (Owns Data Centers as well)
- E2e Network Limited
- Krutrim (by Ola group) - New Entrant
- Anant Raj Cloud - New Entrant
Further while reading about the Indian AI mission on one of The Economic Times article found the following para interesting -
“Top chip companies, cloud makers and cybersecurity firms have shown interest in the government’s Rs 10,000 crore GPUs procurement tender, which is central to India’s AI Mission. Nvidia, Intel, Advanced Micro Devices, Qualcomm, Microsoft Azure, Amazon Web Services, Google Cloud and Palo Alto Networks were among the scores of companies that attended a pre-bid meeting on August 29. Also present at the meeting were representatives from the likes of Yotta Data Services, L&T, E2E Networks, Tata Communications, CtrlS, ST Telemedia Global Data Centres, NTT Data, Dell and Vigyanlabs.”
Read more at:
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… do we know what time is the earnings released today?
Below is a tabular comparison of E2E Networks Limited’s financial performance, highlighting key expenses and metrics on a quarter-over-quarter (QoQ) and year-over-year (YoY) basis for the 2nd quarter Financial Year 2024-25 results:
| Particulars | Q2 FY2025 | Q1 FY2025 | QoQ Change | Q2 FY2024 | YoY Change |
|---|---|---|---|---|---|
| Revenue from Operations | ₹47.55 crore | ₹41.33 crore | 15.03% | ₹21.65 crore | 119.52% |
| Other Income | ₹0.86 crore | ₹0.34 crore | 152.94% | ₹0.40 crore | 115.00% |
| Total Income | ₹48.41 crore | ₹41.67 crore | 16.15% | ₹22.05 crore | 119.52% |
| Expenses: | |||||
| - Purchase of Services and Consumables | ₹7.24 crore | ₹6.67 crore | 8.54% | ₹5.06 crore | 43.07% |
| - Employee Benefit Expenses | ₹6.09 crore | ₹5.11 crore | 19.37% | ₹3.61 crore | 68.69% |
| - Depreciation and Amortization | ₹12.57 crore | ₹10.70 crore | 17.52% | ₹2.53 crore | 396.44% |
| - Finance Costs | ₹3.62 crore | ₹3.36 crore | 7.74% | ₹0.36 crore | 905.56% |
| - Other Expenses | ₹2.78 crore | ₹2.27 crore | 22.47% | ₹1.80 crore | 54.44% |
| Total Expenses | ₹32.30 crore | ₹28.11 crore | 14.92% | ₹13.36 crore | 141.79% |
| Profit Before Tax | ₹16.11 crore | ₹13.56 crore | 18.79% | ₹8.69 crore | 85.34% |
| Tax Expenses | ₹3.96 crore | ₹3.42 crore | 15.79% | ₹2.90 crore | 36.90% |
| Net Profit After Tax | ₹12.15 crore | ₹10.14 crore | 19.79% | ₹5.79 crore | 109.80% |
Q2 Result.pdf (6.1 MB)
While the results are impressive across various financial metrics, I was hoping to see stronger topline growth. The generative AI industry in India still has a long way to mature, but as this transformational technology is adopted across industries globally, it opens up opportunities for new players—especially those focused on GPU-intensive rather than CPU-centric hyperscalers. This shift is not limited to India but is a worldwide trend. Incumbents like AWS and Azure are also making strides in the GPU space with some exciting innovations. The key reason I believe new entrants can capitalize on this is the evolving usage of technology by emerging companies. Unlike the pre-generative AI era, when cloud computing was a smaller part of total expenditures, cloud GPU costs are now becoming a major factor in business models of tech companies and that might be one of the reason why these companies are becoming more conscious of choosing the gpu cloud provider which gives them more value for money.
As investors, I believe we need to stay vigilant regarding the rapidly shifting landscape of this industry. This could be one of the fastest technological shifts the world has seen. The drivers of this change include rapid advancements in GPU chip technology, improvements in large language models (LLMs), AI Agents and quicker adoption of AI across industries. Over time, the cost of these components will decrease, further driving demand, innovation and adoption.
Exciting times lie ahead!
Disclosure - Invested
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