Microsoft Azure vs UpCloud

Compare GPU pricing, features, and specifications between Microsoft Azure and UpCloud cloud providers. Find the best deals for AI training, inference, and ML workloads.

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Microsoft Azure

Provider 1

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GPUs Available
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UpCloud logo

UpCloud

Provider 2

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GPUs Available
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Comparison Overview

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Total GPU Models
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Microsoft Azure GPUs
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UpCloud GPUs
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Direct Comparisons

GPU Pricing Comparison

No GPU pricing data available for comparison between Microsoft Azure and UpCloud.

Features Comparison

Microsoft Azure

  • Azure AI

    Comprehensive suite of AI services and tools for building intelligent applications

  • Enterprise Integration

    Seamless integration with Microsoft ecosystem and enterprise tools

  • Hybrid Capabilities

    Strong hybrid and multi-cloud support with Azure Arc

  • Advanced Security

    Industry-leading security features and compliance certifications

  • Global Scale

    Extensive worldwide network of data centers and edge locations

UpCloud

  • Dedicated GPUs

    No shared hardware — each GPU is always dedicated to a single server with full performance isolation

  • 100% Renewable Energy

    Helsinki data center powered entirely by renewable energy with up to 90% waste heat recovery for district heating

  • European Data Sovereignty

    GDPR-compliant infrastructure in Finland with strong jurisdictional protections and no third-party dependencies

  • Zero-Cost Data Transfer

    No egress fees — outbound data transfer is included at no extra cost

  • Usage-Based Billing

    Pay only for active compute time with hourly billing, no rigid contracts or long-term commitments required

Pros & Cons

Microsoft Azure

Advantages
  • Strong enterprise integration and support
  • Comprehensive AI and machine learning services
  • Advanced security and compliance features
  • Extensive hybrid cloud capabilities
Considerations
  • Complex pricing and billing structure
  • Can be expensive for certain workloads
  • Steeper learning curve for new users

UpCloud

Advantages
  • 100% renewable energy with waste heat recovery — strong sustainability credentials
  • Zero-cost egress eliminates surprise data transfer bills
  • GDPR-compliant EU data sovereignty in Finland
  • Dedicated GPUs with no shared hardware
Considerations
  • GPU servers only available in Helsinki — no multi-region GPU presence
  • Limited to NVIDIA L40S for public cloud (H200 NVL only via private cloud)
  • No NVLink or MIG support — inter-GPU communication limited to PCIe 4.0

Compute Services

Microsoft Azure

Azure Virtual Machines

GPU-enabled VMs for various workloads

Azure Kubernetes Service (AKS)

Managed Kubernetes service with GPU support

  • Integrated GPU node pools
  • Automated scaling and updates
Azure Machine Learning

End-to-end ML platform with GPU acceleration

  • Automated ML capabilities
  • Integrated MLOps

UpCloud

GPU Servers

On-demand NVIDIA L40S GPU instances with dedicated hardware and AMD EPYC 9575F processors

Private Cloud GPUs

Dedicated private cloud infrastructure with NVIDIA L4, L40S, and H200 NVL GPUs

Pricing Options

Microsoft Azure

Pay-as-you-go

Flexible pricing with no upfront commitment

Reserved VM Instances

Save up to 72% with 1 or 3-year commitments

Spot VMs

Up to 90% savings for interruptible workloads

Azure Hybrid Benefit

Cost savings for existing Windows Server and SQL Server licenses

UpCloud

On-Demand GPU Servers

Hourly billing for L40S GPU instances with no upfront commitment — pay only for active compute time

Private Cloud GPUs

Fixed monthly pricing for dedicated private cloud GPU infrastructure with L4, L40S, and H200 NVL

Getting Started

Microsoft Azure

Get Started
  1. 1
    Create an Azure account

    Sign up for Azure and get started with free credits

  2. 2
    Set up your environment

    Configure your subscription, resource groups, and access controls

  3. 3
    Choose compute services

    Select from VMs, containers, or serverless based on your needs

  4. 4
    Deploy resources

    Launch your first GPU-enabled instance or AI service

  1. 1
    Create an UpCloud account

    Sign up at upcloud.com and complete account verification

  2. 2
    Select a GPU server plan

    Choose from 1x, 2x, or 3x L40S configurations with varying vCPU and RAM options

  3. 3
    Deploy with AI/ML template

    Use pre-configured GPU Ubuntu templates to get started quickly with CUDA and ML frameworks

  4. 4
    Attach storage

    Add block storage devices (1 GB–4 TB each) from any storage tier for your operating system and data

Support & Global Availability

Microsoft Azure

Global Regions

60+ regions worldwide with multiple availability zones

Support

Basic, Developer, Standard, and Professional Direct support plans with 24/7 options. Extensive documentation and community resources.

UpCloud

Global Regions

Helsinki, Finland (Telia Helsinki Data Center)

Support

Documentation, API reference, and support team available through the UpCloud control panel