360Labs, home

46 / AI-Native Platforms

Managed AI Compute Platform

We turned managed office property into an AI hub: rented GPU compute with automatic billing now, graduating to a bare-metal sovereign cloud on-site later, so tenants can run AI without their data ever leaving the building.

Client
Synq Managed Spaces Pvt Ltd (Synq.Work)
Stack & approach
AI InfrastructureGPU ComputeMulti-TenantvLLMSovereign Cloud
Interface screens from Managed AI Compute Platform
Interface, from the 360Labs case-study deck (page 56).

The problem

Standing up an AI hub the conventional way means property conversion, a data-centre buildout and hardware procurement before a single rupee of revenue. Meanwhile compliance teams reject any service whose proprietary inputs travel over public channels, and idle cloud GPUs can burn thousands over a weekend.

Solution & architecture

Launch in the cloud, then graduate to metal. A white-labelled provisioning portal over leased GPU capacity with automated billing gives market presence at zero hardware capex. Once demand is proven, physical GPU racks deploy inside the facility as a zero-egress local cloud, so the same tenants move from rented compute to hardware that never lets their data leave the building.

Why it is built this way

  • Graduates to zero-egress

    On-prem racks keep data in the building

  • Single-tenant isolation

    Hardware-isolated, not shared clusters

  • Run-away cost control

    Idle instances auto-stop at 90 minutes