# AI infrastructure procurement checklist for Indian enterprises

**Aitonomi India · 7 October 2026**

Use this worksheet to align technical, security, legal and commercial stakeholders before requesting a scoped proposal. It is a planning resource, not a certification statement, legal opinion, binding offer or capacity reservation.

## 1. Define the workload

| Question | Your requirement |
| --- | --- |
| Business use case and success criteria | |
| Training, fine-tuning, inference, simulation or research | |
| Model size, precision, context/batch and memory headroom | |
| Dataset and checkpoint sizes; storage performance needs | |
| Single GPU, multi-GPU or distributed topology | |
| Framework versions, images, dependencies and integrations to validate | |
| Target start, rental period and evaluation/production stage | |
| Throughput/latency test method and acceptance criteria | |

## 2. Clarify data and access requirements

| Question | Your requirement |
| --- | --- |
| Data classifications and current location | |
| Proposed compute/storage location and data-transfer path to confirm | |
| Jurisdictional, contractual and sector-specific requirements for legal review | |
| Authorized users, service accounts and administration responsibilities | |
| Identity, network-access and isolation requirements | |
| Encryption, key management and logging evidence to request | |
| Retention, deletion, export, recovery and exit requirements | |
| Security questionnaire and due-diligence documents required | |

## 3. Define operations and support

| Question | Your requirement |
| --- | --- |
| Environment setup and validation responsibilities | |
| Customer-side dependencies and integration owners | |
| Change management, maintenance and incident processes | |
| Proposed support hours, contacts and escalation route | |
| Performance review, acceptance and handoff evidence | |

## 4. Establish the commercial process

| Question | Your requirement |
| --- | --- |
| Authorized procurement owner and approval stakeholders | |
| Decision timeline, budget discussion and procurement stage | |
| Configuration and availability confirmation needed | |
| Pricing basis, currency, inclusions and exclusions to confirm | |
| Rental term, renewal, changes and termination provisions | |
| Contracting entity, governing documents and data-handling agreements | |
| Conditions that must be resolved before commitment | |

## Planning examples—not live inventory

NVIDIA L40S (48 GB VRAM per GPU) can be a starting point for inference and visual computing. NVIDIA H100 (80 GB per GPU) can frame training and multi-GPU discussions. NVIDIA H200 (141 GB per GPU) can frame high-memory AI requirements. Actual capacity, software compatibility, eligibility, pricing, data location and support terms are confirmed per engagement.

## Corporate context and next step

Aitonomi AG is a Swiss **AI deep tech innovation holding**. Correspondence: Pletschenstrasse 20, CH-3952 Susten, Switzerland. Aitonomi India is the India-focused presentation of the Swiss neocloud offering; this resource does not assert an Indian office, separate Indian entity, local hosting, fixed latency, certification or blanket regulatory compliance.

Send a non-confidential summary to [info@aitonomi.com](mailto:info@aitonomi.com), or use the website’s enquiry form. Do not send datasets, passwords or sensitive personal information in the initial enquiry.

Sources: [Aitonomi Neocloud](https://aitonomi-neocloud.com/) and [Aitonomi AG corporate facts](https://aitonomi-neocloud.com/corporate-facts).