Zillians GPU Virtualization
Zillians GPU Virtualization is a software solution that enables virtualized GPUs to be made available over the cloud. It allows multiple users to access GPU acceleration remotely through virtual machines.
cloud-computing
virtualization
gpu
remote-access
Zillians GPU Virtualization: Cloud-based GPU Acceleration for Remote Access
A software solution enabling virtualized GPUs over the cloud, allowing multiple users to access GPU acceleration remotely through virtual machines
What is Zillians GPU Virtualization?
Zillians GPU Virtualization is a comprehensive software platform designed to virtualize GPUs and make them easily accessible over the cloud. It works by decoupling the GPU hardware from individual servers or workstations, and enabling the GPU power to be tapped into as a shared resource that can be provisioned on-demand.
Some key capabilities and benefits of Zillians GPU Virtualization include:
- Ability to shared GPUs across multiple virtual machines and users. This maximizes GPU utilization.
- Supports virtualizing all major consumer and enterprise GPUs from AMD and Nvidia.
- Built-in drivers and management tools that make GPU virtualization easy to set up and scale.
- Works across most major hypervisors like VMware, HyperV and KVM.
- Enables BYOL model for GPUs, reducing overall hardware costs.
- GPU performance is near-native with very low CPU overhead.
- Dynamic GPU provisioning allows capacity to scale instantly based on workload demands.
With its ability to unlock the power of GPU acceleration over the network, Zillians helps organizations save hardware costs, boost performance for graphics and compute workloads, and future-proof their infrastructure to take advantage of AI and high performance computing advancements.
Zillians GPU Virtualization Features
Features
- Enables virtualized GPUs for cloud-based applications
- Allows multiple users to access GPU acceleration remotely
- Supports a variety of GPU hardware and virtualization platforms
- Provides management and monitoring tools for GPU resources
- Offers scalable and flexible GPU allocation based on user needs
Pricing
- Subscription-Based
Pros
Efficient utilization of GPU resources
Improved accessibility and availability of GPU-accelerated applications
Reduced hardware costs and maintenance overhead
Enables GPU-accelerated workloads in a cloud environment
Simplified GPU management and administration
Cons
Potential performance overhead due to virtualization
Dependency on the underlying cloud infrastructure
Complexity in setup and configuration for some use cases
Limited support for certain GPU models or virtualization platforms
Potential security and privacy concerns with shared GPU resources
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