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Virtualization technology enables users to dynamically connect and share graphics processing units (GPUs) over existing networks, creating remote virtual resources. This provides access to computing power for AI and graphics tasks without the need to modify application code. With simple software, users can effectively utilize their GPU resources, increasing performance and reducing costs.

Key Features and Capabilities

Users gain access to GPU resources from anywhere on the network, allowing for efficient use across various applications. Key features include:

• Connection Flexibility: Connect to GPUs from anywhere using standard network protocols.
• Dynamic Resource Allocation: Ability to share GPUs among multiple applications and distribute resources in real-time.
• No Code Changes Required: Access to GPUs without the need to modify existing applications.
• Utilization Optimization: Increase GPU utilization rates up to 100% through dynamic load distribution.

Benefits of Use

Utilizing this technology brings numerous benefits, including:

• Reduced hardware costs through more efficient use of existing GPUs.
• Increased application performance by enabling simultaneous access to multiple GPUs.
• Flexibility in managing computing resources, allowing for quick adaptation to changing demands.
• Simplified resource management without the need for complex orchestration systems like Kubernetes.

Who It Is Suitable For

• Corporations and enterprises using AI and graphics computing.
• Research institutions and universities needing dynamic management of GPU resources.
• Development teams seeking to optimize application performance.
• Companies working with cloud computing looking to improve load distribution.

Pricing and Access Terms

Various pricing plans are offered, including a free trial option. Access to services is subscription-based, allowing users to choose the most suitable plan based on their needs and resource usage.