Azure Based Private Cloud Services

Open Closing: 18 Jun 2026 at 16:00 Published: 12 Jun 2026

Overview

Summary

This tender seeks proposals for the provision of Azure-based private cloud services for a duration of 24 months. Key requirements include the setup of virtual machines, secure access, and data storage solutions tailored for AI processing and management.

Detailed Description

The Manufacturing, Engineering and Related Services SETA (merSETA) is inviting bids for the provision of Azure-based private cloud services for a period of 24 months. This project aims to establish a robust cloud infrastructure that supports various AI applications, including data processing and machine learning models. Bidders are expected to provide a comprehensive Azure Bill of Materials that includes specifications for virtual machines, storage solutions, and network configurations necessary for secure and efficient operations.

Key components of the tender include the deployment of Linux-based virtual machines with GPU capabilities, secure access through Azure Bastion, and a structured network setup with multiple subnets. The successful bidder will be responsible for ensuring the system's scalability, security, and performance, with a focus on supporting AI workloads and data management tasks. Additionally, bidders must demonstrate their ability to provide ongoing support and maintenance throughout the contract period, ensuring that the cloud infrastructure remains operational and efficient.

This tender presents an excellent opportunity for businesses specializing in cloud computing, AI technologies, and IT infrastructure management. By leveraging Azure's capabilities, the selected provider will play a crucial role in enhancing merSETA's technological framework, ultimately contributing to improved service delivery and operational efficiency.

Suitable Businesses

This tender is suitable for IT service providers, cloud solution architects, and companies with expertise in Azure services, particularly those with experience in deploying AI and data processing solutions.

Documents

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