Clearing The BLUR
India has a 30-to-40x GPU infrastructure gap to close by 2030. The companies and leaders who understand what that actually means and what it will take are a rare breed. Sharad Sanghi is one of them.In this episode of Clearing the BLUR podcast, hosts Rajiv Jayaraman and Deepak Sharma sit down with Sharad Sanghi, CEO of Neysa. Sharad brings the perspective of someone who has been present at two defining technological inflection points, and who has learned what separates durable infrastructure bets from speculative ones. The conversation moves from the macro to the deeply operational. What does it actually mean to build AI infrastructure before demand fully materialises? Why are GPU prices going up, not down, despite new generations of chips? What did the dot-com bust teach Sharad about which clients to take on, and how has that shaped Neysa's capital allocation discipline today? And what is the real meaning of sovereign AI; not as political rhetoric, but as a data and model infrastructure question that India needs to answer on its own terms?What emerges is a rare infrastructure from an insider's view on where India stands in the global AI race. Sharad shares candid perspectives about the gaps and the opportunities. He is grounded in hard-won pattern recognition across two technology cycles. His framing of AI as overhyped in the short term and under-hyped in the long term is worth the listen alone. In this episode: ✦ Why Sharad rates the commercial internet as a bigger inflection point than AI, and what that framing reveals about long-term impact ✦ The most misunderstood thing about AI infrastructure: it is not plug-and-play, and the underlying network and storage layers are everything ✦ What sovereign AI actually means when you're still dependent on overseas semiconductors, and why data sovereignty matters regardless ✦ Applied AI vs. Foundational Models: where Sharad believes enterprise value will actually accrue in India ✦ The dot-com bust playbook: how B2B focus, client due diligence, and managed services kept NetMagic solvent when competitors collapsed ✦ Why GPU prices are counterintuitively rising, not falling, and what memory supply constraints have to do with it ✦ How Neysa thinks about demand signals before committing capital ✦ The lessons from telecom-era over-building India's power infrastructure as the real bottleneck: what Mumbai's privatised power grid got right, and what the rest of the country still needs ✦ The six customer segments Neysa is targeting and why BFSI is the first serious enterprise adopter✦ Why India's AI opportunity is not in foundational models but in vertical, applied AI Key ThemesAI Infrastructure · Sovereign AI · Applied AI vs. Foundational Models · Capital Allocation · Infrastructure Risk · India's AI Economy · GPU Cloud · Data Centers · Entrepreneurship at Inflection Points · Digital Sovereignty · India Tech StackAbout Sharad SanghiSharad Sanghi is the CEO of Neysa, India's enterprise-focused AI infrastructure and GPU cloud company, which recently raised $1.2 billion in capital with Blackstone as a key investor. Earlier in his career, he was part of the NSFnet backbone team in the United States, and went on to build and lead NetMagic, one of India's leading data center and managed services businesses, across the commercial internet and cloud eras. He has spent over three decades building mission-critical technology infrastructure across two major technology transitions.About Clearing the BLUR'Clearing the BLUR' is a podcast that breaks down complex ideas shaping our world — AI, data, leadership, innovation — into simple, human stories. Hosted by 𝗗𝗲𝗲𝗽𝗮𝗸 𝗦𝗵𝗮𝗿𝗺𝗮 and 𝗥𝗮𝗷𝗶𝘃 𝗝𝗮𝘆𝗮𝗿𝗮𝗺𝗮𝗻, each episode features candid conversations with leaders reimagining the future.𝗦𝘂𝗯𝘀𝗰𝗿𝗶𝗯𝗲 for more insights on AI, innovation, and leadership. Share this episode with someone who’s still figuring out how to make AI work for them.
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