Microsoft Virtual Machines NVASv4 Series NV4as v4
Secure access to Microsoft NVASv4 Series NV4as v4 virtual machines, designed for GPU-accelerated applications and high-performance computing needs.
- GPU Acceleration: Unlock powerful graphics and compute capabilities for AI, machine learning, and visualization workloads.
- High Performance: Experience enhanced processing power and memory for demanding applications and simulations.
- Scalable Capacity: Easily adjust resources to meet fluctuating project requirements and optimize costs.
- Microsoft Ecosystem: Integrate seamlessly with other Microsoft Azure services for a unified IT environment.
Product Overview
Product Overview
The Microsoft NVASv4 Series NV4as v4 virtual machines provide specialized hardware for graphics-intensive and compute-heavy workloads. These instances are equipped with NVIDIA GPUs, enabling advanced capabilities for artificial intelligence, machine learning, deep learning training, and high-performance computing tasks.
Businesses utilizing complex simulations, data analytics, or requiring powerful visualization tools will benefit from these virtual machines. They are ideal for IT managers and professionals in organizations that need to run demanding applications without investing in on-premises hardware, ensuring efficient resource utilization and predictable costs.
- GPU-Enabled Compute: Access NVIDIA Tesla V100 GPUs for accelerated AI and HPC workloads.
- Optimized for AI/ML: Designed for deep learning frameworks and data science tasks.
- High Throughput Networking: Benefit from fast and reliable network connectivity for distributed computing.
- Flexible Deployment: Choose from various configurations to match specific application performance needs.
- Pay-as-you-go Subscription: Manage costs effectively with a flexible billing model.
Empower your organization with specialized GPU compute power, delivering enterprise-grade performance for complex workloads without the overhead.
What This Enables
Enable AI and Machine Learning Development
Enable teams to develop, train, and deploy complex artificial intelligence and machine learning models. Streamline data processing and model iteration cycles with dedicated GPU resources.
cloud-native deployments, hybrid cloud environments, data science initiatives, research and development
Accelerate High-Performance Computing
Support computationally intensive simulations, scientific research, and complex data analysis tasks. Provide engineers and researchers with the necessary compute power for faster results.
engineering workloads, scientific research, financial modeling, complex simulations
Power Advanced Visualization and Rendering
Facilitate real-time rendering, 3D design, and complex visualization for industries like architecture, engineering, and media. Deliver high-fidelity graphics for remote users.
design visualization, remote rendering, CAD/CAM applications, virtual desktop infrastructure
Key Features
NVIDIA Tesla V100 GPUs
Accelerate AI, machine learning, and HPC workloads with powerful, dedicated graphics processing units.
High-performance CPUs and SSD storage
Ensure rapid data access and processing for demanding applications, reducing bottlenecks.
Azure Networking
Benefit from high-throughput, low-latency networking for distributed computing and data transfer.
Subscription-based billing
Manage operational expenses with a flexible, pay-as-you-go model for compute resources.
Microsoft Azure global infrastructure
Deploy workloads in a secure, reliable, and globally distributed cloud environment.
Industry Applications
Manufacturing & Industrial
Supports complex simulations for product design, stress testing, and process optimization, crucial for efficient industrial operations.
Healthcare & Life Sciences
Enables advanced medical imaging analysis, drug discovery simulations, and genomic sequencing requiring significant computational power.
Finance & Insurance
Facilitates complex financial modeling, risk analysis, algorithmic trading, and fraud detection that benefit from GPU acceleration.
Education & Research
Provides researchers and students with access to powerful computing resources for scientific simulations, data analysis, and AI/ML projects.
Frequently Asked Questions
What types of workloads are best suited for the NVASv4 Series?
The NVASv4 Series is ideal for AI, machine learning, deep learning training, high-performance computing (HPC), and advanced visualization tasks that require significant GPU acceleration.
How does this subscription model work?
This is a subscription-based offering, meaning you pay for the virtual machine resources as you use them, typically on an hourly or monthly basis. This provides cost flexibility compared to purchasing physical hardware.
Can these virtual machines be scaled?
Yes, Azure virtual machines, including the NVASv4 Series, can be scaled up or down based on your specific workload demands. You can adjust the size and number of instances as needed.
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.