GPU Procurement Sizing Calculator

An intelligent decision-support tool for Government Departments to accurately size, specify,
and generate procurement-ready RFP/tender documents for GPU-based computing infrastructure.

1

Select Primary Workload Type

Click to select

AI / ML Training

Model training, fine-tuning, deep learning workloads

AI Inference

Deployed model serving, chatbots, REST APIs

HPC / Simulation

Scientific computing, climate models, fluid dynamics

3D / Visualisation

GIS rendering, CAD, digital twin, mapping

Computer Vision

Surveillance analytics, inspection, image processing

NLP / LLM

Language models, OCR, document intelligence

2

Workload Scale & Data Parameters

Adjust sliders and dropdowns
100 GB
Raw data or model size in GPU memory hierarchy
10
Simultaneous inference requests or training jobs
1B params
Set to 1 M if not using neural networks
Lower precision = less VRAM & higher throughput
Tokens/sec for LLM, images/sec for CV, iter/sec for HPC
3

Operational Requirements & Department Details

For RFP document generation
Used in RFP document header and all official clauses
Official tender reference for GeM and procurement records
Indicative — final cost from GeM / OEM quotation
3 yrs

GPU Specification Report

Generated based on your selected parameters

Specification ParameterRecommended Value / Range
Procurement Checklist

Request For Proposal (RFP) / Tender Document — Live Preview

Cover & Introduction
Eligibility Criteria
Technical Specifications
Evaluation & SLA
Terms & Compliance
⚠ This RFP template is auto-generated for reference and planning purposes. Legal review by department counsel is mandatory before formal issuance. All procurement must comply with GFR 2017, CVC guidelines, and applicable MeitY circulars.