ZenoCloud

Monthly INR-priced GPU capacity with deployment and managed care

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Screenshot of ZenoCloud, Monthly INR-priced GPU capacity with deployment and managed care

What is ZenoCloud?

ZenoCloud is a productivity tool. ZenoCloud offers monthly GPU capacity in India, priced in INR, plus one-time deployment and recurring management for inference, LLM hosting, fine-tuning and training workloads. Engagements are quote-based.

ZenoCloud sells GPU capacity in India on a monthly basis, together with the deployment work and ongoing operations needed to run AI workloads on it. The AI infrastructure page frames the offer around what a workload does rather than which card it needs: inference, self-hosted language models, and training or fine-tuning each get their own path, with separate qualification questions and a stated commercial basis. The pricing structure is split into three layers. Capacity starts at ₹32,000 per card per month, billed in INR, and the catalogue is described as running from L4 to B200 cards. Deployment is a one-time project, with single-node deployment and acceptance starting at ₹50,000. Production care is recurring: GPU Infrastructure Care starts at ₹25,000 per node per month, and AI Production Care starts at ₹75,000 per workload per month. Published prices apply per GPU card unless a quote explicitly names a complete node and its card count. In practice the process is quote-led. A visitor describes the configuration or problem, the location and the timing through a request form, and ZenoCloud replies to the work email supplied. The deployment region is stated in each quote, and the data path, storage location and access model are documented per configuration. Buyers can choose a one-time deployment or recurring infrastructure management, each tied to an agreed acceptance target. The service suits teams in India that want dedicated GPUs on predictable monthly INR invoices, and that prefer to hand off deployment and operations rather than assemble them in-house. It is a different proposition from self-serve hourly GPU clouds or large hyperscaler marketplaces, since sizing, pricing confirmation and onboarding go through a sales conversation. The related pages cover GPU hosting, inference, LLM hosting, model training and managed GPU services for buyers who want to compare paths before requesting a quote.

How do you use ZenoCloud?

  1. 1Pick the workload path
    Decide whether the need is inference, LLM hosting, training or a managed service, since each path has its own qualification questions.
    ZenoCloud — Pick the workload path
  2. 2Review GPU capacity pricing
    Check the GPU catalogue for monthly INR pricing across cards, remembering that prices are per card unless a quote states a full node.
    ZenoCloud — Review GPU capacity pricing
  3. 3Read the managed services scope
    Look at how deployment, acceptance and ongoing operation are packaged if the team wants ZenoCloud to run the workload.
    ZenoCloud — Read the managed services scope
  4. 4Submit a quote request
    Describe the configuration or problem, location and timing, and choose GPU or AI infrastructure as the need.
  5. 5Confirm region and data path
    Use the quote to verify the deployment region, storage location and access model before agreeing to the acceptance target.

Pros and cons

Pros

  • Public starting prices in INR for capacity, deployment and recurring care make budgeting easierAI
  • Workload-first paths (inference, LLM hosting, training) help buyers frame requirements before talking to salesAI
  • Combines GPU capacity with deployment and operations, so teams need less in-house MLOpsAI
  • Deployment is tied to an agreed acceptance target, which defines when the work counts as doneAI
  • India-based capacity with INR billing suits teams with local data and invoicing needsAI

Cons

  • Engagements are quote-led, with no self-serve signup or instant provisioning describedAI
  • Pricing is monthly per card, so short or bursty experiments may not fit the modelAI
  • Published figures are starting prices; final costs depend on the quote and configurationAI
  • Current public programme centres on India, which limits teams needing other regionsAI
  • No integrations, APIs or tooling ecosystem are listed on this pageAI

How much does ZenoCloud cost?

Pricing

GPU cards in India from ₹32,000 per card per month in INR. Single-node deployment and acceptance from ₹50,000 one-time. GPU Infrastructure Care from ₹25,000 per node per month; AI Production Care from ₹75,000 per workload per month.

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Support

Support is handled by sales contact via phone and email plus a quote form. Recurring care plans cover GPU nodes and AI workloads after deployment.

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Features

Monthly GPU capacity from L4 to B200 cards, single-node deployment with acceptance targets, recurring GPU infrastructure management, and AI production care for inference, LLM hosting, fine-tuning and training workloads.

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Frequently asked questions about ZenoCloud

  • How much does ZenoCloud cost?
    GPU cards in India from ₹32,000 per card per month in INR. Single-node deployment and acceptance from ₹50,000 one-time. GPU Infrastructure Care from ₹25,000 per node per month; AI Production Care from ₹75,000 per workload per month.
  • How do you use ZenoCloud?
    The walkthrough on this page covers 5 steps: 1. Pick the workload path 2. Review GPU capacity pricing 3. Read the managed services scope 4. Submit a quote request 5. Confirm region and data path.
  • What platforms does ZenoCloud support?
    ZenoCloud is available on Web App.
  • What are the limitations of ZenoCloud?
    Engagements are quote-led, with no self-serve signup or instant provisioning described. Pricing is monthly per card, so short or bursty experiments may not fit the model. Published figures are starting prices; final costs depend on the quote and configuration.

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Added10/8/2026

Platforms

Web App

Pricing

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