We built one of India's most trusted full-stack AI clouds before we built a Twitter account. Priorities.
Turns out 'making sure your GPUs actually can keep up' doesn't leave much time for main character energy online. Hey, we're Neysa ๐
OpenAI: we don't store your chats.
Also OpenAI: we'll flag shady patterns across chats we didn't store.
Basically hired a watchman who forgets your face but somehow remembers you snuck in twice.
https://t.co/2IeFtQ51OK
$126B in AI data centre investment commitments in India, per a July 2026 KPMG report. Nobody sent the power grid a heads up. Watts don't care how big the funding round was. Who's checking the grid math before the next one gets signed?
Did you know: Cast AI's 2026 'State of Kubernetes Optimization' Report, stated drawn from measured production telemetry across roughly 23k clusters across general-purpose clouds found average enterprise GPU utilization sits at just 5%? i.e. 95% of provisioned capacity is idle.
India's voice AI market is set to grow ~6x by 2030 - from $153M to $958M (NextMSC, 2026). A kind of jump usually breaks on the compute side long before the AI does. Agreed?
We built one of India's most trusted full-stack AI clouds before we built a Twitter account. Priorities.
Turns out 'making sure your GPUs actually can keep up' doesn't leave much time for main character energy online. Hey, we're Neysa ๐
โน/GPU-hour doesn't predict $/token.
Decode is memory-bandwidth bound, KV cache and batching decide real cost, not GPU count on paper. That's why we price inference against the resources reserved for an AI workload, not a shared rate you can't audit.
Should this be the norm? ๐ค
That's the list. If you nodded along on three or more, that's not bad luck. That's what building AI in India looks like right now.
We started this account because these are exactly the problems we're built to solve. More on that soon.
Need sources? Nudge our research interns ๐ค
The model came from HuggingFace. The plugin came from npm. The vector database came from a 12-person startup you've never heard of.
One compromised link anywhere in that chain poisons the whole deployment. Most teams have audited none of it. (10/10)
Karan Kirpalani, Chief Product Officer, Neysa, argues that as enterprises move AI into production, inference is becoming the real differentiator.
Read the full story: https://t.co/7ranOIRgKT