Microsoft Virtual Machines HB120-32RS_V3
Unlock advanced computing power with Microsoft Virtual Machines HB120-32RS_V3, designed for demanding HPC and AI workloads.
- Access to: High-performance computing resources for complex simulations and AI model training.
- Coverage for: Specialized hardware configurations optimized for memory-intensive applications.
- Protection against: Performance bottlenecks in critical research and development cycles.
- Entitlement to: Scalable infrastructure that adapts to evolving project requirements.
Product Overview
Product Overview
This offering provides access to Microsoft Azure HBv3 series virtual machines, specifically the HB120-32RS_V3 configuration. These VMs are engineered for high-performance computing (HPC) and artificial intelligence (AI) workloads, featuring AMD EPYC processors and high-speed networking to accelerate complex computations and large-scale data processing.
IT Managers and IT Professionals in organizations requiring significant computational power for tasks like scientific research, financial modeling, or machine learning will find these VMs essential. They integrate into existing Azure environments, providing a scalable and powerful platform without the need for on-premises hardware investment.
- High-Performance Computing: Optimized for CPU-bound and memory-intensive HPC applications.
- Advanced Networking: Features InfiniBand for low-latency, high-throughput inter-node communication.
- Scalable Infrastructure: Easily scale compute resources up or down based on project demands.
- AI and Machine Learning: Accelerates training of complex AI models and deep learning workloads.
- Azure Integration: Seamlessly integrates with other Azure services for a complete solution.
Empower your business with cutting-edge HPC capabilities, delivered through a flexible Azure subscription managed by Zent Networks.
What This Enables
Accelerate Scientific Research and Simulations
Enable teams to run complex scientific simulations and data analysis at unprecedented speeds. Streamline research cycles by reducing computation time for critical experiments and modeling.
cloud-based deployments, research and development environments, high-performance computing clusters, data-intensive workloads
Boost AI and Machine Learning Model Training
Streamline the training of large-scale AI and machine learning models with powerful, specialized hardware. Automate the deployment of compute resources needed for deep learning and predictive analytics.
AI development platforms, machine learning operations, data science initiatives, cloud-native applications
Optimize Financial Modeling and Analysis
Empower financial analysts to perform complex risk assessments and market simulations faster. Automate the processing of large financial datasets for more accurate and timely insights.
financial services platforms, trading environments, risk management systems, data analytics pipelines
Key Features
AMD EPYC Processors
Achieve superior performance for CPU-intensive tasks and complex calculations.
High-Speed InfiniBand Networking
Ensure low-latency, high-throughput communication between nodes for distributed workloads.
Large Memory Capacity
Handle memory-bound applications and large datasets efficiently without performance degradation.
Azure Cloud Integration
Benefit from a scalable, reliable, and secure cloud platform with seamless integration into your existing Azure environment.
Subscription Billing
Manage costs effectively with predictable subscription payments, avoiding large upfront capital expenditures.
Industry Applications
Manufacturing & Industrial
Enables complex simulations for product design, stress testing, and computational fluid dynamics, crucial for optimizing manufacturing processes and product development.
Healthcare & Life Sciences
Supports computationally intensive tasks like genomic sequencing, drug discovery simulations, and medical imaging analysis, accelerating research and patient care advancements.
Finance & Insurance
Facilitates high-frequency trading simulations, complex risk modeling, actuarial calculations, and fraud detection algorithms requiring significant processing power.
Education & Research
Provides researchers and academic institutions with the necessary computational power for scientific modeling, data analysis, and advanced research projects across various disciplines.
Frequently Asked Questions
What is the primary purpose of the HBv3 series virtual machines?
The HBv3 series virtual machines are designed for high-performance computing (HPC) and artificial intelligence (AI) workloads. They are optimized for CPU-bound and memory-intensive applications that require significant computational power and fast inter-node communication.
What kind of workloads are best suited for the HB120-32RS_V3 configuration?
This configuration is ideal for workloads such as scientific simulations, computational fluid dynamics, financial modeling, deep learning model training, and other complex data-intensive tasks that benefit from high core counts, large memory, and fast networking.
How does this subscription model work?
This is a subscription-based offering, meaning you pay a recurring fee for access to the virtual machine resources. This model allows for flexible scaling and predictable operational expenses, avoiding the need for large capital investments in hardware.
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.