Microsoft Azure D64as v4 Virtual Machines
Microsoft Azure D64as v4 Virtual Machines provide scalable, high-performance cloud computing resources designed for demanding business workloads.
- Flexible Capacity: Access powerful virtual machines for diverse application needs.
- Subscription Billing: Predictable monthly costs for cloud infrastructure.
- Azure Platform: Benefit from Microsoft's secure and reliable global cloud network.
- Performance Optimized: Ideal for compute-intensive applications and enterprise workloads.
Product Overview
Product Overview
Microsoft Azure D64as v4 Virtual Machines are a series of cloud-based compute instances offering significant processing power and memory, suitable for a wide range of enterprise applications. These VMs are designed for workloads that require high CPU performance and large memory footprints, ensuring your critical applications run efficiently.
Businesses with IT departments, IT managers overseeing infrastructure, and IT professionals seeking reliable cloud compute solutions will find these VMs instrumental. They integrate into existing Azure environments, providing a scalable foundation for everything from development and testing to hosting critical business applications and databases.
- High Performance Compute: Equipped with AMD EPYC 7452 processors for demanding tasks.
- Large Memory Options: Suitable for memory-intensive applications and large datasets.
- Scalable Infrastructure: Easily adjust resources up or down based on business needs.
- Global Azure Network: Leverage Microsoft's secure, worldwide data center infrastructure.
- Subscription Licensing: Predictable monthly billing for operational expenditure.
Azure D64as v4 VMs offer SMB and mid-market teams enterprise-grade cloud computing without the overhead of managing physical hardware.
What This Enables
Deploying High-Performance Applications
Enable teams to run compute-intensive applications that require significant processing power and memory. Streamline the deployment of custom business software and enterprise resource planning systems.
cloud-native deployments, hybrid cloud environments, existing Azure subscriptions, virtualized application hosting
Running Large Databases and Analytics
Support teams managing large datasets and complex analytical workloads that demand substantial memory and fast I/O. Automate the provisioning of powerful database servers for business intelligence and data warehousing.
data-intensive workloads, business intelligence platforms, large-scale database hosting, analytical processing
Development and Testing Environments
Provide developers with robust environments for building, testing, and staging applications. Streamline the creation of complex testing scenarios that mimic production workloads.
software development lifecycles, CI/CD pipelines, application staging, performance testing
Key Features
AMD EPYC 7452 Processors
Achieve high levels of performance for CPU-bound workloads, ensuring applications run quickly and efficiently.
Large Memory Configurations
Handle memory-intensive applications and large datasets with ease, improving data processing speeds and application responsiveness.
Azure Global Network
Benefit from Microsoft's secure, reliable, and globally distributed data centers for optimal performance and availability.
Subscription-Based Billing
Manage IT costs effectively with predictable monthly operational expenses, avoiding large upfront capital investments.
Scalability and Elasticity
Easily adjust compute resources to meet fluctuating business demands, ensuring optimal performance and cost efficiency.
Industry Applications
Finance & Insurance
Financial services firms require high-performance computing for complex calculations, risk analysis, and trading platforms, often with strict uptime and data security requirements.
Manufacturing & Industrial
Manufacturers can utilize these VMs for running complex simulation software, IoT data processing, and enterprise resource planning systems that demand significant computational power.
Healthcare & Life Sciences
Healthcare organizations need robust infrastructure for managing patient data, running medical imaging analysis, and supporting research applications, often under strict HIPAA compliance.
Legal & Professional Services
Law firms and professional services companies can deploy these VMs for document management systems, case management software, and large-scale data analysis for litigation or client projects.
Frequently Asked Questions
What is the D64as v4 series of Azure Virtual Machines?
The D64as v4 series are virtual machines offered by Microsoft Azure that utilize AMD EPYC 7452 processors. They are designed for compute-intensive workloads requiring significant CPU power and memory, making them suitable for enterprise applications.
What type of workloads are best suited for these VMs?
These VMs are ideal for compute-intensive applications, large databases, analytics workloads, development and testing environments, and disaster recovery solutions. Their high CPU and memory capacity makes them versatile for demanding tasks.
How does subscription billing work for these virtual machines?
Subscription billing means you pay a recurring fee, typically monthly, for the use of the virtual machine resources. This model allows for predictable operational expenses and avoids large upfront capital investments in hardware.
Deployment & Support
Deployment Complexity
Medium — IT-assisted
Fulfillment
Digital Delivery
License keys / portal provisioning
Support Model
Zent Networks Managed
Renewal, add-license, and lifecycle management included
Subscription Terms
Cancellation
Cancel anytime — no charge on next cycle
You may cancel this subscription at any time. Cancellation takes effect at the end of the current billing period. You will not be charged for the following billing cycle. Access remains active through the end of the paid term.
Returns
Subscription licenses are non-refundable
Digital software licenses and SaaS subscriptions cannot be returned once activated or provisioned. Contact a Zent Networks account manager if you have questions before purchasing.