Enterprise cloud and AI infrastructure · Noida, IndiaSales +91 997 139 2828Support +91 997 188 8346
Azure cloud for AI

Azure cloud engineered for enterprise AI and Azure OpenAI

Azure landing zones, GPU VMs, Azure ML and Azure OpenAI Service, designed, secured and managed by a Microsoft Partner.

Request an architecture reviewSee what you get
Enterprise-grade securityNamed engineersAWS and Azure expertise
how it worksMicrosoft Azure

Users

GPU VMs

Data

Azure OpenAI

Monitoring
OverviewWhat you getWho it is forHow we set you upCompareDetailsFAQs

Microsoft Azure cloud services for enterprise AI

Xpecto Cloud designs, migrates and manages Microsoft Azure environments for enterprises building AI products. We set up landing zones, GPU virtual machines, AKS, Azure Machine Learning and Azure OpenAI Service, and integrate them with Microsoft Entra ID, Microsoft 365 and your existing data.

Problems we solve

Our cloud bill surprises us.
Right-sizing, budgets and alerts keep costs predictable.
Moving to Azure feels risky.
A phased migration with testing and rollback.
We are unsure our cloud is secure.
Security baselines, identity controls and monitoring.
We have no cloud engineers.
Managed Azure operations by our team.

What you get with Microsoft Azure

GPU virtual machines

Training and inference capacity on Azure.

Azure OpenAI and Azure ML

Managed AI inside your tenant.

Data platforms

Azure SQL, Data Lake and Cosmos DB.

Networking and VPN

Private endpoints and ExpressRoute links.

Microsoft Entra ID

Identity, conditional access and RBAC.

Defender for Cloud

Posture management and threat protection.

Cost management

Budgets, alerts and right-sizing.

Azure Monitor

Metrics, logs and alerts.

Who Microsoft Azure is for

Microsoft-first organisations

Extend Microsoft 365 and Windows workloads to Azure.

Enterprises

Hybrid and compliant cloud setups.

Software companies

Host apps and APIs with scale.

How we set you up

A structured path from first conversation to a secure, running platform, with your teams involved at every stage.

Assess and planWe review workloads, licences and compliance needs and agree the Azure target architecture.
Build the landing zoneSubscriptions, networking, Entra ID and policy guardrails are built as code.
Migrate or buildWe move applications or build AI services on GPU VMs, AKS, Azure ML and Azure OpenAI.
Secure and testDefender for Cloud, backup and load tests are completed before go-live.
Manage and optimiseWe monitor, patch and review cost every month so the platform stays healthy.

Microsoft Azure: before and after

Unmanaged cloud or on-premiseAzure managed by Xpecto
CostSurprise billsBudgets and alerts
MigrationRisky big-bang movesPhased and tested
SecurityDefault settingsHardened baselines
SkillsHard to hireOur engineers on call
ResilienceSingle point of failureBackup and recovery

More about Azure cloud for AI

As a Microsoft Partner, our engineers follow Microsoft best practice for security, governance and cost. We run the platform day to day with monitoring, patching, backup and monthly reviews.

Compare with AWS or plan a cloud migration. Add Microsoft 365, cloud security and private generative AI.

Azure GPU VMsAzure OpenAI ServiceAzure Machine LearningAKSMicrosoft Entra IDDefender for CloudAzure MonitorCost Management

Microsoft Azure FAQs

Yes. We deploy Azure OpenAI Service inside your tenant with private networking, identity controls and content filters.

Yes. Xpecto is a Microsoft Partner.

We right-size resources, set budgets and alerts, schedule GPU use and review spend every month.

Yes. We assess, plan and migrate servers, databases and applications in phases with testing and rollback.
// ENTERPRISE ENQUIRY

Request a free AI cloud architecture review

Share your workload, timeline and cloud preference. An enterprise cloud architect will review it and come back with a recommended approach.

  • Workload and data assessment
  • Reference architecture and security approach
  • Cost and risk outline
  • No obligation

+91 997 139 2828

Request a free architecture review

Tell us about your AI or cloud project. A cloud architect will respond with next steps.

// KEEP EXPLORING

Related solutions

Most enterprise programmes combine several of these. They work well with Microsoft Azure.

AWS Cloud

AWS landing zones, GPU and managed AI services, designed, migrated and run for you.

Explore →

Dedicated and GPU Servers

Single-tenant servers for large models, heavy databases and strict compliance.

Explore →

Private VPS

Isolated virtual servers for APIs, staging and smaller AI services.

Explore →

Planning an AI product? Let us design the cloud it runs on.

Talk to an enterprise cloud architect. We will review your workload and recommend a secure, cost-controlled path to production.

Talk to an architect +91 997 139 2828