High-Density Compute
Dedicated CUDA GPU nodes for inference, fine-tuning and rendering — the capacity serious AI teams can't reliably rent.
Panju CoreVault Private Limited
India is building AI on rented foreign hardware. CoreVault gives you owned, immersion-cooled GPU nodes — run in India, billed in rupees, with local support. And the OpEx you save covers what you spend with us.
Dedicated CUDA GPU nodes for inference, fine-tuning and rendering — the capacity serious AI teams can't reliably rent.
GPUs run submerged in synthetic dielectric oil — quiet, dense, and efficient, without the PFAS and pressure risk of two-phase systems.
Our patented software layer runs telemetry, predictive maintenance, self-healing and orchestration — the node manages itself.
A published patent on the autonomous immersion-cooled architecture plus integrated self-management (Mo OS) — in examination, not a slide claim.
Anyone can buy GPUs or an oil tank. Our edge is the combination: immersion cooling + a hardware safety watchdog + Mo OS, in one managed node. Competitors sell one layer; we run the whole stack.
Dedicated infrastructure physically inside India — no USD/FX exposure, local accountability — which foreign clouds structurally cannot match.
The economics
We don't just match the cloud — we cut your operating costs so deeply that, over time, the savings cover what you spend with us.
Single-phase immersion holds PUE around 1.07 versus ~1.7 for air-cooled racks — about 37% less total facility power and ~89% less cooling energy, roughly ₹88,000 saved per node every year.
Submerged GPUs run cool and stable instead of thermally cycling, so the same hardware keeps earning for two to three times as long.
No on-site engineers, no maintenance contracts. Mo OS runs telemetry, predictive maintenance and self-healing — and, on good infra, fixes issues in code. You deal with us directly.
A whole server room collapses into a desk-sized compartment with one outdoor compressor unit — like a split AC. Huge savings on rent, facilities and upkeep.
Lower power, longer-living hardware, zero ops overhead, no server room — the OpEx you save is the reason to move.
Real, not rendered


I came from operations — hospitality, then an MBA, about nine years running execution in small businesses. What pulled me into compute was watching Indian AI builders pay foreign cloud rates, in dollars, for GPU time they couldn't get reliably, on infrastructure they didn't control. CoreVault is my attempt to fix that: owned, immersion-cooled GPU nodes, run in India, billed in rupees, with local support.
— Shiv Panjnani, Founder
We lead with AI startups, rendering/VFX studios and enterprise innovation teams. As we mature, the same node goes into the data-sovereignty-sensitive markets that need it most — healthcare, fintech and BPO.