Ashish Agrawal
@dvbydt · joined 04 Jun 2009
Founder @mettlecap. Former MD @sequoia India
10 509Followers
266Following
635Posts total
661.7KViews on collected posts
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Interestingly all of it started with Texas Instruments setting up an R&D center in Bangalore in 1985, the same place where the C2i team came from.
The opportunity in the AI wave is fuelling the ambition of many more semiconductor engineers in India.
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India is unique in having the talent density needed for such attempts. With ~20% of global chip design talent, it enables companies like @C2iSemi and @AgraniLabs to build almost their entire engineering teams in India, both 50-60 member strong now.
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Because power delivery doesn't require a 3nm node (28/32 nm is fine), the capital requirements for such a semiconductor startup are much lower. C2i raised ~$20M in its lifetime. Many other semiconductor startups can get their products to market for comparable amounts.
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C2i was started by Ram, Preetam, Vikram and Dattatreya - 4 engineers with an average of 20 yrs of experience at Texas Instruments. They are 'industry insiders' who foresaw how existing solutions will fail at power delivery in the AI wave and came up with an alternate approach.
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This is what @C2iSemi does. This involves two halves - a multiphase controller (which C2i calls Manas) and a Voltage regulator (which C2i calls Sarayu). C2i's innovation is having them be co-designed and software controlled which allows for far high control loop speed.
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Why does that matter? When regulators can't react fast enough, the industry injects filler work into the idle gaps inside real training jobs purely to stop the load collapsing. Estimates measures the cost of such idle compute at ~10% of total energy. C2i minimizes this wastage.
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The physics starts to become hard. Electricity moves efficiently at high voltage and low current. Chips need the opposite. So it's stepped down repeatedly on the way in. Most attention goes to the early steps - the move to 800V DC distribution, helpful but the easier half.
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The hard half is the last few cms. At the die, voltage drops below 1V while current climbs into the thousands of amps - a 1.2kW part at 0.8V is pulling 1500A with load steps in nanoseconds. Imagine turning 1500A on and off at nanosec frequency. It's incredible engineering.
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Power per NVIDIA GPU has gone up meaningfully in every generation:
Volta (2017) 300W -> Ampere (2020) 400W -> Hopper (2022) 700W -> Blackwell (2024) ~1kW -> Blackwell Ultra (2025) -> 1.4kW-> Rubin (2026) -> 1.8–2.3kW Rubin Ultra (2027) ~3.6kW
Twelve-fold in a decade, per GPU.
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At the rack level, this compounds further. A typical rack ran 6-8kW in 2017. A Blackwell NVL72 is planned at ~120kW today. NVIDIA's Kyber design is 600kW. Megawatt racks land before 2030. 1MW racks imply one cabinet drawing as much power as ~800 homes. Dennard scaling broke.
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Finally, power. Monolithic Power Systems ($65B), Renesas ($40B) and Infineon ($80B) are the leading players here. This sector is now repricing violently. Here's why.
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Then is optical interconnect. Frontier models run across thousands of chips that need connectivity. Copper runs out of reach hence the move to optical. This stack includes Arista ($ 200B+), Lumentum ($75B), Coherent ($50B), Astera Labs ($50B), Credo ($40B) - $500B mkt cap.
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As the bottleneck moved south, optical interconnect has also seen a significant increase in market cap.
We are yet to come across a strong attempt either in the memory or in the optical interconnect layer from India. If you are a founder building in these, please do reach out.
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Next is memory. Micron ($1T), SK Hynix ($900B) and Samsung ($1T+) are the three players in this space. This layer is $ 3-4T of market cap today. As the demand for compute scaled, memory became a bottleneck this year. Prices of HBM, DRAM and NAND are up multiple times.
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Include some of the value for Broadcom, Marvell etc. in this and this stack represents ~$10T of market cap today. This is the most lucrative part of the AI hardware stack but also the most complex and capital intensive. @AgraniLabs is a very strong attempt from India here.
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Let's start by following the money. The most valuable and watched part of the AI hardware stack is compute. NVIDIA ($5T), AMD ($800B) and Intel ($500B) are the leaders; new entrants include Groq, Cerebras, Etched, Cambricorn (China), Moore Threads (China) and @AgraniLabs (India)
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Received several pings today from the ecosystem to understand this better and what it means for Indian semiconductor startups. Here is a simplistic thread on the AI hardware stack, @C2iSemi and India's role within it.
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Congratulations to @AgraniLabs for the Top innovator nomination, to @DharaniPrachi at @PayGlocalHQ and @pallavi_s at @progcap for woman ahead nomination and ofcourse to @_groww for startup of the year nomination at the ET startup award. Best of luck! @samidhas
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6 months from Series A to M&A - I didn't expect to use this picture this soon :)
Congratulations to Ram, Preetam, Vikram, Dattatreya, and the entire @C2iSemi team! It was wonderful partnering with you folks.
https://t.co/2ONMlLejmv https://t.co/S8Jy6Bd3TI
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The Cerebras IPO is a watershed moment for the semiconductor industry. At $60B market cap, it’s amongst the biggest outcomes in entrepreneurship/ venture capital.
For much of the last two decades, venture capital focussed on the application layer. Semis, which used to be the
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@dvbydt @tejeshwi_sharma @_groww @lkeshre I dont think groww could've better partner than you @dvbydt, Thanks for all the support for making just groww to "The Groww"
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@dvbydt @tejeshwi_sharma @_groww @lkeshre Only onwards & upwards Ashish! 🚀
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@dvbydt @_groww @lkeshre Incredible journey @dvbydt. Going from a Koramangala office with 6 people to a $13B listed company in 7 years is one of the most impressive Indian fintech stories of the decade. Groww went from zero to 10M+ users in under 5 years - faster than any Indian
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Today is an emotional day as I step down from the @_groww board. Seeing the journey of the company from a 6 member team in Koramangala to a $13B publicly traded company over the last 7 yrs has been deeply fulfilling and I am grateful to the Groww founders - @lkeshre,
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Our Q4FY26 Results are out now
Check them out here: https://t.co/meydK7kLTN
Highlights 👇🏽 https://t.co/NOoapo4nbC
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@dvbydt @peakxvpartners @Ishaanmittal2 @tejeshwi_sharma ❤️
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@dvbydt @peakxvpartners @Ishaanmittal2 @tejeshwi_sharma Congrats Ashish and good luck!
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@dvbydt @peakxvpartners @Ishaanmittal2 @tejeshwi_sharma Oh what did I just wake up to! This is HUUUUUUGE! Super super excited for this new firm. Legends are going to slay!
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After 13 years at @peakxvpartners / Sequoia Capital India, I have decided to take the entrepreneurial plunge. I am excited to be teaming up with longtime partners @Ishaanmittal2 and @tejeshwi_sharma to start a new venture capital firm.
I am deeply grateful to all my partners -
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เทียบกับบัญชีขนาดเดียวกัน
20 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 10K–100K ผู้ติดตาม แสดงในวงกว้าง แต่มีผู้ชมตอบสนองน้อย.
ยอดดูมัธยฐาน2 588บัญชีนี้924ค่ามัธยฐานของ 10K–100K
การเข้าถึง, %24.63%บัญชีนี้3.62%ค่ามัธยฐานของ 10K–100K
การมีส่วนร่วม, %0.98%บัญชีนี้1.52%ค่ามัธยฐานของ 10K–100K
| ตัวชี้วัด | บัญชีนี้ | ค่ามัธยฐานของ 10K–100K | อัตราส่วน |
|---|---|---|---|
| ยอดดูมัธยฐานต่อโพสต์ | 2 588 | 924 | 2.80× |
| การเข้าถึง (ยอดดู ÷ ผู้ติดตาม) | 24.63% | 3.62% | 6.80× |
| อัตราการมีส่วนร่วม | 0.98% | 1.52% | 0.64× |
บัญชีอื่นในช่วงนี้ → เปรียบเทียบกับบัญชีอื่น → ค่าอ้างอิงเหล่านี้คำนวณอย่างไร →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
3K25 Aug
3.1K
2.7K
2.5K
2.7K
2.4K
2.4K
2.3K
2.4K
2.3K
2.2K
2.2K
2.1K
943
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.97%25 Aug
1.03%
0.89%
0.95%
0.90%
1.21%
0.98%
1.10%
1.49%
1.21%
1.21%
1.96%
3.02%
0.42%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes72.9%2 633 in total
Reposts3.0%108 in total
Replies4.4%160 in total
Quotes1.0%36 in total
Bookmarks18.7%674 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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