Capacity for the job in front of you.

Rent compute when a deadline, project or temporary requirement does not justify buying infrastructure first. We begin with the workload, software, duration and the access your team needs.

Request capacity

Rent for a defined need. Plan before you commit.

On-demand compute is useful when the workload is clear but the long-term demand is not.

It can help a studio handle a rendering deadline, a team run a GPU-backed task for a fixed period, or an organisation trial a dedicated environment before buying its own equipment.

A useful request includes the software involved, the kind of files or data being used, the expected duration, the number of people or jobs that need access, and any constraints around access or data handling.

Application and version
Job shape and duration
Data and storage path
People and access

Rendering work has its own questions.

Leroi is the specialist rendering brand operated by ITS INFRA INDIA.

If you are sending a render job, the conversation should cover the renderer and version, scene files, plug-ins, assets, output settings and deadline. Those details matter more than a broad request for more GPU power.

For a new workflow, ask about compatibility and an appropriate test process before relying on a production deadline.

Renderer and version
Plug-ins and assets
Output settings
Deadline and test process

GPU server rental

Rent GPU capacity for a defined workload and period.

Training, inference, visualisation, simulation and rendering can place different demands on memory, storage, operating system, network access and the way users connect to the environment.

We confirm the configuration options available for the requirement, the rental period, the pricing basis and the access method before you commit.

CPU server rental

Some workloads need cores, memory or storage throughput more than they need a GPU.

CPU rental can suit batch processing, CPU rendering, engineering tools, build jobs and other compute-heavy work where a project-based setup is the practical choice.

Share the software, operating system, data size, expected usage window and dependencies so the recommendation stays tied to the workload.

Dedicated compute

When a shared path is not the right fit, discuss a dedicated one.

A dedicated environment can make sense when a team needs consistent access, a fixed configuration, project separation or a longer rental period.

The scope should identify who needs access, what must be installed, how data will move, and who is responsible for deployment and use.

Rent vs own

The decision is about the pattern of work, not a rule of thumb.

Start with rental for a project deadline or variable demand. Compare rental with ownership when the same workload becomes recurring and the operating model is stable.

Move into data-centre planning when multiple racks, specialised power, cooling or a dedicated facility become part of the requirement.

Deadline or variable demand: rent
Stable recurring workload: compare
Long-term internal environment: own
Facility-scale need: plan the site

Tell us what has to run, when it has to run and for how long.

Include the software, duration, access needs and constraints you already know. If the configuration is unclear, say so.

Frequently asked questions

Not as a standing promise. Availability changes, so the configuration is confirmed against the actual requirement before a quote or order is issued.