Microsoft Azure NVASv4 Series Virtual Machines
Unlock advanced GPU-accelerated computing with Microsoft Azure NVASv4 Series virtual machines, designed for high-performance graphics and AI workloads.
- Access to: High-performance GPU-accelerated virtual machines for demanding applications.
- Coverage for: Workloads requiring significant graphics processing or AI model training.
- Protection against: Performance bottlenecks in graphics-intensive applications.
- Entitlement to: Scalable and flexible cloud-based computing resources.
Product Overview
Product Overview
Microsoft Azure NVASv4 Series virtual machines provide powerful GPU-accelerated computing capabilities, ideal for graphics-intensive applications, AI model training, and complex simulations. These VMs are built on AMD EPYC processors and NVIDIA Tesla T4 GPUs, offering a robust platform for businesses needing significant computational power.
IT Managers and IT Professionals in SMB and mid-market companies utilize these virtual machines to run specialized software, develop AI models, or render complex graphics without investing in expensive on-premises hardware. They fit within an Azure cloud environment, allowing for flexible scaling and integration with other Azure services.
- GPU Acceleration: Equipped with NVIDIA Tesla T4 GPUs for enhanced graphics and AI performance.
- High Performance: AMD EPYC processors deliver substantial CPU power for demanding tasks.
- Scalability: Easily scale resources up or down based on project needs within Azure.
- Flexibility: Supports a wide range of graphics-intensive applications and AI frameworks.
- Cost Efficiency: Pay-as-you-go subscription model for predictable cloud spending.
Azure NVASv4 Series VMs offer SMB and mid-market teams enterprise-grade GPU power for specialized workloads, simplifying complex computing needs.
What This Enables
Enable GPU-accelerated application performance
Enable teams to run graphics-intensive applications, such as CAD, rendering software, or video editing suites, with enhanced performance. Streamline complex visual workflows and reduce processing times for creative and design professionals.
cloud-based deployments, hybrid cloud environments, on-premises infrastructure, virtual desktop infrastructure
Accelerate AI and machine learning development
Streamline the training and deployment of AI and machine learning models by providing dedicated GPU resources. Automate complex data analysis and predictive modeling tasks, enabling faster insights and innovation.
data science platforms, research and development environments, cloud-native applications, big data analytics
Support high-performance remote workstations
Organizations deploying remote workforces can provide employees with access to powerful virtual workstations for demanding tasks. Ensure consistent performance and access to specialized software regardless of user location.
remote workforce enablement, virtual desktop infrastructure, distributed teams, secure remote access
Key Features
NVIDIA Tesla T4 GPUs
Provides powerful graphics processing and AI acceleration for demanding applications.
AMD EPYC Processors
Delivers high CPU performance for complex computations and multitasking.
Azure Cloud Platform
Offers scalability, reliability, and integration with a wide range of cloud services.
Subscription Billing
Provides predictable operational expenses and flexibility to adjust resources as needed.
High Memory and Storage Options
Supports large datasets and complex applications requiring significant resources.
Industry Applications
Manufacturing & Industrial
Supports complex CAD/CAM operations, simulation for product design and testing, and AI-driven quality control processes.
Media & Entertainment
Enables high-performance rendering, video editing, and visual effects processing for content creation workflows.
Healthcare & Life Sciences
Facilitates AI-powered medical imaging analysis, drug discovery simulations, and genomic sequencing computations.
Education & Research
Provides researchers and students with access to powerful computing for scientific simulations, data analysis, and AI model development.
Frequently Asked Questions
What kind of workloads are best suited for the NVASv4 Series VMs?
The NVASv4 Series VMs are ideal for graphics-intensive applications, AI and machine learning model training, video rendering, scientific simulations, and other workloads that benefit significantly from GPU acceleration.
How does the subscription billing work for these virtual machines?
These virtual machines are offered on a subscription basis, meaning you pay for the resources you consume over time. This provides a flexible and cost-effective way to access powerful computing power without large upfront hardware investments.
Can I scale my NVASv4 Series VM resources up or down?
Yes, one of the key benefits of using Azure virtual machines is the ability to scale your resources. You can easily adjust the size and capacity of your VM based on your changing workload demands.
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.