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For customers

Capacity where you need it.

Distributed storage and edge compute for AI workloads, inference, batch processing and research, metered in 60-second records.

For customers

Compute when you need it.

Affordable, flexible compute capacity for AI workloads, inference, batch processing and research.

New Compute Job

Draft

Workload

Resources8 CPU16 GB RAM
Estimated runtime2h 40m
Nodes3
Estimated cost₹•••

Billed from metered usage · Rate locked at job creation

Get Compute

Comparison

Designed differently.

Traditional cloud is built on purpose-built data centres. Hyper Grid is built on capacity that already exists.

Hardware source

Hyper Grid

Idle PCs and laptops, contributed by their owners

Traditional Cloud

Dedicated servers in data centres

Pricing model

Hyper Grid

Metered in 60-second records, rate locked at job creation

Traditional Cloud

Instance-hours, reservations and commitments

Contributor economy

Hyper Grid

Hardware owners earn from their idle hours

Traditional Cloud

Not applicable

Idle capacity

Hyper Grid

Put to use when the owner is away

Traditional Cloud

Not a source of supply

India-native payments

Hyper Grid

UPI payouts (in development)

Traditional Cloud

Typically cards or wire transfer

GST invoicing

Hyper Grid

India-ready invoicing (in development)

Traditional Cloud

Varies by provider

Distributed availability

Hyper Grid

Spread across many homes and offices

Traditional Cloud

Concentrated in regional data centres

The next cloud is already switched on.

We're turning idle computing into useful computing.

Hyper Grid · Distributed Storage & Edge Computing