Microsoft Reserved VM Instance STANDARD_NC12S_V3
Secure predictable pricing for Microsoft Azure compute with a 3-year Reserved VM Instance for STANDARD_NC12S_V3 in US Central, ensuring cost efficiency for your critical workloads.
- Predictable Pricing: Lock in discounted rates for your Azure compute resources over a 3-year term.
- Cost Optimization: Significantly reduce your operational expenses compared to pay-as-you-go pricing.
- Resource Commitment: Reserve specific VM instance types and regions to guarantee availability.
- Budget Certainty: Gain clear visibility into your cloud compute costs for better financial planning.
Product Overview
Product Overview
This offering provides a 3-year reservation for a Microsoft Azure STANDARD_NC12S_V3 Virtual Machine instance in the US Central region. By committing to a reservation, you gain access to significant cost savings compared to on-demand pricing, ensuring a predictable expenditure for your compute resources.
This solution is ideal for businesses, IT managers, and IT professionals in SMB and mid-market companies that utilize Azure for their core operations. It fits into environments requiring consistent, high-performance compute capacity, such as data processing, machine learning, or application hosting, where long-term stability and cost control are paramount.
- Cost Savings: Achieve substantial discounts on Azure compute costs through a 3-year commitment.
- Capacity Assurance: Guarantee the availability of STANDARD_NC12S_V3 instances in the US Central region.
- Budget Predictability: Stabilize your cloud spending with fixed pricing for the reservation term.
- Simplified Management: Streamline cloud cost management by pre-purchasing compute capacity.
- Performance Consistency: Ensure your critical applications have access to dedicated, reliable compute resources.
Optimize your Azure cloud investment with predictable costs and guaranteed capacity for your essential business applications.
What This Enables
Commit to predictable Azure compute costs
Enable teams to secure discounted pricing for essential Azure compute resources over a 3-year term. Streamline budgeting by eliminating variable pay-as-you-go expenses for consistent workloads.
long-term application hosting, predictable data processing needs, stable development environments
Guarantee capacity for critical workloads
Ensure your organization has guaranteed access to STANDARD_NC12S_V3 VM instances in the US Central region. Protect against potential capacity shortages and maintain operational continuity for vital business functions.
high-availability application deployments, mission-critical service delivery, performance-sensitive workloads
Optimize cloud spending for sustained operations
Reduce overall Azure operational expenses by leveraging significant savings offered through this 3-year reservation. Automate cost reduction for compute resources that are consistently utilized.
cost-conscious IT departments, budget-constrained SMBs, mid-market companies scaling operations
Key Features
3-Year Reservation Term
Locks in discounted pricing for a predictable 36-month period, significantly reducing overall compute costs.
STANDARD_NC12S_V3 Instance Type
Provides access to specific GPU-accelerated compute capabilities suitable for demanding workloads like AI and HPC.
US Central Region
Ensures compute resources are located in a specific geographic area, optimizing latency and meeting data residency requirements.
Discounted Pricing
Offers substantial savings compared to on-demand VM pricing, improving cloud cost efficiency.
Capacity Reservation
Guarantees the availability of the specified VM instance type in the chosen region, preventing deployment delays.
Industry Applications
Manufacturing & Industrial
Companies in this sector often run complex simulations, AI-driven analytics for production optimization, and IoT data processing that require consistent, high-performance GPU compute.
Finance & Insurance
Financial services firms utilize GPU instances for high-frequency trading algorithms, risk modeling, fraud detection, and complex actuarial calculations requiring significant computational power.
Healthcare & Life Sciences
This sector employs GPU instances for medical imaging analysis, drug discovery simulations, genomic sequencing, and AI-powered diagnostics, demanding substantial and reliable compute resources.
Education & Research
Universities and research institutions use GPU-accelerated computing for scientific research, machine learning model training, complex data analysis, and simulations across various disciplines.
Frequently Asked Questions
What is a Reserved VM Instance?
A Reserved VM Instance (RI) 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 my business money?
By committing to a 3-year term, you secure a lower hourly rate for the STANDARD_NC12S_V3 instance. This directly reduces your monthly Azure compute bill compared to paying the standard on-demand rate.
What happens if my compute needs change?
While the reservation commits you to the instance type and region, Azure offers flexibility. You can exchange or cancel reservations under certain conditions, though it is best suited for stable, long-term compute requirements.
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.