
Microsoft Reserved VM Instance STANDARD_M64S_V2
Secure predictable Azure VM capacity and cost savings with a 3-year reservation for STANDARD_M64S_V2 instances in the US West region.
- Cost Savings: Lock in lower prices compared to pay-as-you-go rates for 3 years.
- Capacity Assurance: Guarantee availability of specific VM instance types in your chosen region.
- Predictable Billing: Simplify budgeting with fixed monthly or annual charges for reserved capacity.
- Performance Optimization: Ensure your critical workloads have dedicated resources for consistent performance.
Product Overview
Product Overview
This offering provides a 3-year reservation for Microsoft Azure's STANDARD_M64S_V2 virtual machine instance type, located in the US West region. By committing to a reservation, you gain significant cost savings compared to on-demand pricing and ensure capacity is available when you need it for your critical applications.
This reservation is ideal for SMB and mid-market organizations running consistent, long-term workloads on Azure. It fits into environments requiring stable performance and predictable costs, such as production servers, databases, or critical business applications that cannot tolerate performance fluctuations or unexpected billing spikes.
- Discounted Pricing: Achieve substantial savings on VM compute costs over the 3-year term.
- Guaranteed Capacity: Reserve compute capacity in the US West region for the STANDARD_M64S_V2 instance type.
- Simplified Management: Reduce the complexity of managing VM costs and availability.
- Performance Consistency: Ensure your applications have access to the resources they need, when they need them.
- Azure Integration: Seamlessly integrates with your existing Azure environment and services.
Optimize your Azure cloud spend and ensure resource availability with this 3-year reserved instance commitment.
What This Enables
Enable predictable cloud spending
Enable teams to lock in discounted pricing for consistent Azure VM usage over a 3-year period. Streamline budgeting by replacing variable on-demand costs with fixed, predictable expenses for critical compute resources.
long-term workloads, stable resource needs, cost optimization initiatives, production environments
Assure critical application availability
Guarantee the availability of STANDARD_M64S_V2 VM instances in the US West region, ensuring your essential business applications remain accessible. Protect against potential capacity constraints during peak demand periods.
mission-critical applications, high-availability requirements, business continuity planning, performance-sensitive workloads
Optimize Azure resource allocation
Streamline the management of Azure compute resources by pre-committing to specific instance types and regions. Automate cost reduction for predictable workloads, freeing up IT staff from constant price monitoring.
standardized deployments, ongoing operational needs, cloud cost management, infrastructure planning
Key Features
3-Year Commitment
Achieve significant discounts compared to pay-as-you-go pricing for a predictable duration.
STANDARD_M64S_V2 Instance Type
Secure access to a specific, high-performance VM configuration suitable for demanding workloads.
US West Region
Ensure your compute resources are located in a specific geographic area for latency or compliance needs.
Capacity Reservation
Guarantee that the compute capacity you need will be available when your applications require it.
Subscription Billing
Benefit from a clear, predictable billing model that simplifies financial planning and management.
Industry Applications
Finance & Insurance
Financial institutions require consistent performance and predictable costs for trading platforms, risk analysis, and core banking systems, making reserved instances ideal for these stable, critical workloads.
Manufacturing & Industrial
Manufacturers often run long-term, resource-intensive applications for ERP, supply chain management, and IoT data processing, benefiting from the cost predictability and guaranteed capacity of reserved instances.
Healthcare & Life Sciences
Healthcare organizations rely on stable, always-on systems for patient records, imaging, and research, where guaranteed capacity and predictable operational expenses are crucial for compliance and service delivery.
Legal & Professional Services
Law firms and professional services companies utilize cloud resources for document management, case management, and client portals that require consistent availability and predictable monthly costs to manage operational budgets effectively.
Frequently Asked Questions
What is a Reserved VM Instance?
A Reserved VM Instance is a commitment to use specific Azure virtual machine types in a particular region for a 1- or 3-year term. In exchange for this commitment, you receive a significant discount compared to pay-as-you-go pricing.
How does this reservation save me money?
By committing to a 3-year term, you lock in a lower price for the STANDARD_M64S_V2 instance in the US West region. This reduces your overall Azure compute costs compared to paying the on-demand rate.
What happens if my workload needs change?
While reservations are a commitment, Azure offers flexibility. You can exchange or cancel reservations under certain conditions, though specific terms apply. It is best to plan for stable or growing needs when purchasing.
Deployment & Support
Deployment Complexity
Low — self-service
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.