GPU & AI Compute

GPU offers, without pretending IMRTech owns every GPU rack.

IMRTech can provide GPU-backed infrastructure through approved partner supply and manage onboarding, workload sizing, support, and business integration. That is the honest and scalable model.

Positioned for supported workloads, not fantasy inventory

Public pricing is anchor pricing. Final deployment depends on region, stock, workload pattern, and support requirements.

GPU Dev

From ₹6,999/mo

For inference, prototyping, smaller fine-tunes, and remote AI work.

  • T4/L4 class starting point
  • Partner-backed compute
  • IMRTech-managed onboarding
  • Best for early-stage AI teams

GPU Workstation

From ₹14,999/mo

For rendering, visual workloads, model experimentation, and power users.

  • A16 / equivalent class
  • Remote workstation pattern
  • Managed delivery
  • Can support media and graphics stacks

GPU Training Node

From ₹24,999/mo

For sustained AI training, HPC-style jobs, and larger memory needs.

  • V100/A100 class quote path
  • Architecture review before activation
  • Cost and usage planning
  • Monitoring and support

Dedicated GPU / Cluster

Custom quote

For high-end or long-running workloads that need sustained supply.

  • Dedicated cluster design
  • Partner-backed sourcing
  • Commercial review
  • Compliance-sensitive workload screening

AI inference and agents

Inference APIs, copilots, agent backends, and document AI pipelines.

Fine-tuning and training

Model fine-tuning, research, experimentation, and training jobs.

Rendering and media workloads

Graphics, transcoding-adjacent compute, and workstation-style GPU needs.

Enterprise custom compute

HPC, analytics, or custom business workloads needing larger GPU capacity.

Important fit note for IPTV, media, and streaming customers

IMRTech can service streaming-adjacent customers, including middleware, panels, app backends, analytics, remote workstations, and qualified GPU or high-throughput workloads. But we do not auto-promise unrestricted media delivery or rights-sensitive streaming without workload and compliance review.

Workload sizing first

We need clarity on concurrency, storage, bitrate, transcoding, and region.

Compliance review

Rights-sensitive or risky streaming use cases need review before quote or provisioning.

Best-fit infrastructure

We can place the workload on IMRTech-managed or partner-backed compute depending on the profile.

Request GPU / AI Compute Review

Use this for inference, fine-tuning, rendering, remote GPU workstations, or AI workloads that need IMRTech-managed delivery.

This creates an IMRTech lead and routes it into the reviewed lead workflow. We do not auto-promise unsupported provisioning.