AI Tuesdays: The State of AI Infrastructure, from Racks to Reasoning
Bengaluru, India, Bengaluru, India
Every AI product eventually becomes an infrastructure problem. Tokens are getting cheaper, but they still run on GPUs, power, networks, and the software that keeps it all reliable. In 2026, that layer is the scarcest part of the stack. Hyperscalers are spending more than ever and still can't build fast enough. GPU and memory prices are rising, not falling.
India sits at a fascinating point in this story. It generates nearly a fifth of the world's data but hosts only a sliver of global data centre capacity. That gap is now drawing some of the largest cheques in Indian tech history: hyperscaler buildouts, the IndiaAI Mission, and a new generation of homegrown AI clouds.
Neysa is among the most ambitious of them: it is home to one of India's largest GPU rollouts, and along the way it has built a full-stack AI cloud spanning GPU compute, inference, orchestration, and AI security.
The conversation
For this edition of AI Tuesdays, we are going under the hood of the full AI stack, from silicon to applied AI, with the people who build it every day.
Join us for a candid fireside chat between Anindya Das, Co-founder of Neysa, and Ritesh Dhoot, CTO/EVP Engineering at Neysa, in conversation with Jishnu Bhattacharjee, Partner at Nexus Venture Partners.
Anindya has spent more than two decades designing and scaling cloud and network infrastructure, including years as a technology leader at Netmagic and NTT, before co-founding Neysa.
Ritesh brings over two decades of building engineering organisations, including founding Agricx, an AI and deep learning platform for agricultural quality assessment, and scaling engineering hubs at Cisco, H1, Orange Health Labs, and BYJU'S.
What we'll explore
From GPUs to a cloud: What separates renting out GPUs from running a production AI cloud? Where do orchestration, observability, security, and uptime actually get hard?
Building through a compute crunch: How do you secure capacity when lead times stretch into quarters, Hopper is being retired, an
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