Cisco NVIDIA Virtual Compute Server - Subscription License - 1 GPU - 5 Year

Introducing Cisco NVIDIA Virtual Compute Server (VCS) — a cutting-edge, subscription-based licensing solution designed to deliver GPU-accelerated virtualization for modern data centers. Tailored for enterprises pursuing AI, machine learning, data analytics, and high-performance computing workloads, this 5-year license provides predictable budgeting, streamlined license management, and dependable performance. With 1 NVIDIA GPU allocated per license, organizations can rapidly provision virtualized compute resources, scale to meet growing demands, and maintain full control over licensing costs. Cisco’s robust integration with NVIDIA’s virtualization technology enables secure, multi-tenant environments, empowering IT teams to deploy, manage, and optimize GPU workloads with confidence while protecting sensitive data and ensuring compliance across the stack. Whether you’re enabling virtual desktops with GPU acceleration, accelerating in-venue AI inference, or powering HPC simulations, VCS helps you extract maximum value from your NVIDIA-enabled hardware and Cisco networking investment.

• GPU-Accelerated Virtualization — Leverage NVIDIA vCompute capabilities to run AI, ML, and high-performance computing workloads inside virtual machines. A single license provides dedicated GPU access, delivering robust performance for graphics-intensive applications, real-time analytics, and data science pipelines without the overhead of dedicated physical GPUs for every workload.
• 5-Year Subscription License — A long-term licensing option that simplifies budgeting and procurement. Enjoy predictable cost planning, automatic access to product updates and security fixes during the term, and streamlined renewal processes that minimize downtime and compliance risk.
• Enterprise-Grade Security & Compliance — Cisco’s secure virtualization framework combined with NVIDIA virtualization technology creates isolated, auditable compute environments. This helps meet enterprise security requirements, data protection standards, and regulatory compliance for sensitive workloads across industries such as finance, healthcare, and government.
• Simplified Licensing & Deployment — Centralized license management and straightforward activation align with Cisco’s broader data-center ecosystem. The license is designed to integrate smoothly with Cisco hardware and software, reducing administrative overhead and accelerating time-to-value for GPU-accelerated projects.
• Scalable for AI/ML Workloads — Designed for evolving workloads, VCS supports scaling strategies within the product framework. As compute needs grow, you can optimize GPU utilization, adjust resource allocation, and extend virtualization capabilities to accommodate larger AI training or inference pipelines while maintaining license alignment.

Technical Details of Cisco NVIDIA Virtual Compute Server - Subscription License - 1 GPU - 5 Year

• License Type: Subscription
• Term: 5 Years
• GPU Allocation: 1 x NVIDIA GPU per license
• Platform: Cisco NVIDIA Virtual Compute Server
• Intended Use: Virtualized compute for AI/ML, data analytics, and HPC workloads
• Support & Updates: Software updates and security patches included during the term

The NVIDIA Virtual Compute Server license is designed to deliver consistent, predictable performance for GPU-accelerated workloads within Cisco-powered data-center environments. It aligns with enterprise deployment models, offering a balance between licensing simplicity and the flexibility needed to support diverse AI and analytics workflows. For organizations running mixed workloads, VCS provides a robust foundation to consolidate GPU resources under a unified licensing and management framework, reducing fragmentation and enabling tighter governance over GPU usage and cost allocation. While the license specifies one GPU per license, organizations can plan capacity by aggregating licenses to meet multi-workload demands, all while maintaining a streamlined upgrade and renewal path.

How to Install Cisco NVIDIA Virtual Compute Server

To deploy Cisco NVIDIA VCS, begin with a thorough readiness assessment, then follow vendor-recommended steps to activate the license, install the virtualization software, configure the environment, and validate performance. Proper planning ensures optimal GPU sharing, security, and reliability for virtualized AI and analytics workloads. Below is a practical deployment outline to guide your implementation while staying aligned with licensing terms.

• Verify prerequisites: Confirm compatible Cisco server hardware, supported NVIDIA GPU models, compatible hypervisors or orchestration platforms, and an active 5-year subscription license. Review Cisco’s and NVIDIA’s compatibility matrices to ensure hardware and software versions meet requirements.
• Activate your license: Access the Cisco/NVIDIA licensing portal or the approved license management interface, and apply the 5-year subscription key to your VCS deployment. Ensure license status shows as active and associated with the correct device or cluster.
• Install the VCS software: Obtain the official VCS image from the vendor repository and run the installer on your validated Cisco infrastructure. Follow the guided prompts to complete deployment, including configuring vCompute resources and enabling GPU passthrough to virtual machines or containers as supported.
• Configure networking and security: Integrate VCS with your existing Cisco networking fabric, set up segmentation, access controls, and security policies. Enable features such as role-based access, monitoring, and compliance auditing to protect sensitive workloads.
• Validate performance and license health: Verify GPU visibility within the host and guest environments, run representative AI/ML benchmarks, and establish monitoring for utilization, licensing status, and expiration alerts to prevent disruption at term end.

During installation, it is important to align configuration with your organization’s governance policies, backup strategies, and disaster recovery plans. The VCS deployment should be tested under representative workload conditions to ensure stability, predictable latency, and consistent GPU performance across virtual machines. By following best practices and vendor guidance, you can maximize the value of the 5-year license, minimize runtime issues, and enable a smooth upgrade path when expanding GPU-enabled capabilities in your data center.

Frequently asked questions

• What is included in the Cisco NVIDIA VCS Subscription License? The license provides access to NVIDIA virtual compute capabilities for one GPU per license for a 5-year term, with software updates and security patches included during the term. It is designed to support GPU-accelerated virtualization within Cisco-based environments.
• Can I deploy more than one GPU per license? This SKU specifies one GPU per license. If you need additional GPUs, you should purchase additional licenses and allocate resources accordingly, following Cisco/NVIDIA licensing guidelines and capacity planning.
• Are there hardware prerequisites? Yes. A compatible Cisco server platform, approved NVIDIA GPU models, and supported virtualization software are required. Always consult the current Cisco/NVIDIA compatibility matrix for your exact hardware and software versions before deployment.
• How do I renew or extend the license after 5 years? Renewals are managed through the Cisco/NVIDIA licensing portal at the end of the term, subject to vendor policies. Renewal typically involves re-activation of licensing and potential updates to software versions.
• What workloads are best suited for Cisco NVIDIA VCS? Ideal use cases include AI model training and inference, GPU-accelerated data analytics, scientific computing, and virtual workstations requiring GPU acceleration in a virtualized environment.