Microsoft Azure NVASv4 Series Virtual Machines
Microsoft Azure NVASv4 Series virtual machines provide GPU-accelerated computing for graphics-intensive applications and AI workloads, ensuring high performance for your business.
- GPU Acceleration: Unlock powerful graphics processing for visualization, AI, and machine learning tasks.
- High Performance: Experience enhanced compute capabilities for demanding applications and complex simulations.
- Scalable Capacity: Easily adjust virtual machine resources to meet fluctuating workload requirements.
- Azure Integration: Seamlessly deploy and manage virtual machines within the Microsoft Azure cloud ecosystem.
Product Overview
Product Overview
Microsoft Azure NVASv4 Series virtual machines are specialized cloud computing instances designed for graphics-intensive workloads, AI, and machine learning. These VMs feature NVIDIA GPUs and AMD EPYC processors, offering significant computational power for tasks such as remote visualization, video rendering, and complex data analysis.
These virtual machines are ideal for IT Managers and IT Professionals in SMB and mid-market companies who need to run demanding applications without investing in on-premises hardware. They fit into cloud-based infrastructure strategies, enabling businesses to access enterprise-grade performance for specific projects or ongoing operations.
- GPU-Powered Compute: Equipped with NVIDIA Tesla M60 or V100 GPUs for accelerated graphics and AI processing.
- High-Bandwidth Networking: Optimized for low latency and high throughput, crucial for distributed workloads.
- Flexible Deployment: Available in various configurations to match specific performance and cost requirements.
- Azure Ecosystem: Integrates with other Azure services for a complete cloud solution.
- Cost Efficiency: Pay-as-you-go model allows for optimized spending on compute resources.
Empower your business with specialized GPU compute power, delivering enterprise-grade performance for demanding applications without the overhead of physical infrastructure.
What This Enables
Enable GPU-Accelerated AI and Machine Learning
Enable teams to train complex machine learning models and run AI inference tasks with significantly reduced processing times. Streamline the development lifecycle for AI-powered applications and data analytics.
cloud-native deployments, hybrid cloud environments, data science initiatives, research and development
Support High-Performance Remote Visualization
Streamline the delivery of high-fidelity graphics and visualizations to remote users and workstations. Automate the provisioning of powerful virtual workstations for design, engineering, and content creation teams.
remote workforce enablement, CAD/CAM design, 3D rendering, architectural visualization
Accelerate Scientific Simulations and Modeling
Enable researchers and engineers to run complex scientific simulations and computational fluid dynamics (CFD) with greater speed and accuracy. Automate the scaling of compute resources for large-scale modeling projects.
research and development, engineering workflows, scientific computing, advanced analytics
Key Features
NVIDIA Tesla M60 or V100 GPUs
Provides substantial processing power for graphics-intensive tasks, AI, and machine learning, accelerating complex computations.
AMD EPYC processors
Delivers high core counts and excellent performance for demanding server-side workloads and parallel processing.
High-bandwidth networking
Ensures rapid data transfer between VMs and storage, critical for distributed computing and large datasets.
Azure cloud platform
Offers a secure, reliable, and scalable environment with easy integration into broader cloud solutions.
Pay-as-you-go pricing
Allows for flexible cost management, paying only for the compute resources consumed, optimizing budget allocation.
Industry Applications
Manufacturing & Industrial
Supports advanced simulation, CAD/CAM, and AI-driven design processes critical for product development and optimization in manufacturing environments.
Healthcare & Life Sciences
Enables complex medical imaging analysis, drug discovery simulations, and AI-powered diagnostics requiring significant GPU compute power.
Finance & Insurance
Facilitates high-performance computing for risk modeling, fraud detection algorithms, and AI-driven financial analytics.
Media & Entertainment
Accelerates 3D rendering, video editing, and visual effects production, reducing project timelines for content creation.
Frequently Asked Questions
What types of workloads are best suited for the NVASv4 series?
The NVASv4 series is ideal for GPU-accelerated workloads such as AI and machine learning training and inference, remote visualization, video rendering, and scientific simulations.
Can I use these VMs for general-purpose computing?
While capable, these VMs are optimized for GPU-intensive tasks. For general-purpose computing, other Azure VM series might be more cost-effective. However, they can be used if your general workload benefits from GPU acceleration.
How does this differ from other Azure GPU VM series?
The NVASv4 series specifically features NVIDIA GPUs and AMD EPYC processors, making it well-suited for a balance of graphics and compute acceleration, often at a competitive price point for these capabilities.
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.