Lenovo NVIDIA Virtual Computer Server - Subscription License - 1 GPU - 3 Year - 7S020010WW

Product Description

Lenovo NVIDIA Virtual Computer Server - Subscription License - 1 GPU - 3 Year - 7S020010WW

Maximize your data center efficiency with the Lenovo NVIDIA Virtual Compute Server (vCS) Subscription License. This digital product offers a powerful and flexible solution for virtualizing GPUs, enabling multiple virtual machines (VMs) to share a single NVIDIA GPU. Ideal for businesses seeking to optimize resource utilization and reduce hardware costs, this 3-year subscription license provides access to cutting-edge GPU virtualization technology.

Key Features:

• Subscription License: Access the Lenovo NVIDIA Virtual Compute Server for a period of three years, allowing for predictable budgeting and scalability.
• 1 GPU License: This license covers one physical NVIDIA GPU, enabling efficient resource sharing among VMs.
• Enhanced Performance: Leverage the power of NVIDIA GPUs to accelerate virtualized workloads, improving application performance and user experience.
• Increased Flexibility: Dynamically allocate GPU resources to VMs as needed, optimizing resource utilization and reducing infrastructure costs. Support for up to 10 concurrent VMs allows for efficient resource sharing.
• Simplified Management: Streamline GPU management and administration within your virtualized environment.
• Cost-Effective Solution: Optimize your data center investments by sharing expensive GPU resources across multiple virtual machines.
• Lenovo Quality: Benefit from the reliability and support of a trusted technology partner like Lenovo.

Technical Specifications:

• Product Type: Software Licensing
• License Type: Subscription License
• Manufacturer Part Number (MPN): 7S020010WW
• License Details: Maximum 10 concurrent VMs
• License Quantity: 1 GPU
• Manufacturer: Lenovo Group Limited
• Product Name: NVIDIA Virtual Compute Server
• Software Name: NVIDIA Virtual Compute Server
• Brand Name: Lenovo
• License Validation Period: 3 Year

Ideal for:

• Businesses running virtualized desktops and applications
• Organizations looking to optimize GPU resource utilization
• Companies seeking a cost-effective solution for GPU virtualization