VIRTUAL SERVERS

Easily deploy and manage Virtual Servers at scale

VIRTUAL SERVERS

Our Virtual Servers are built on top of Kubernetes, using the open-source project KubeVirt for workloads that aren’t easily containerized. Launch Virtual Servers in seconds from the UI or via the chainwise Ai Kubernetes API.

Optimized for best-in-class performance

Leverage the bare-metal performance of dedicated GPUs via PCI pass-through. No GPU virtualization or shared resources.

Ultimate flexibility in compute and hardware configurations

Like everything in Chainwise Ai, virtual servers are customizable. Match the complexity of your workloads with a wide range of NVIDIA GPUs, and switch between types in a matter of seconds.

Full support for both Linux and Windows Virtual Servers

Both NVIDIA GPU accelerated and CPU-only Virtual Servers are available with pre-built Linux Distributions or Windows versions. Need something else? Bring your own ISO.

Close-up image featuring detailed programming code on a computer screen, ideal for tech-related themes.

Empower your team to access the compute resources they need in real-time

Chainwise Ai’s Virtual Workstations improve artist workflows and reduce the burden of maintaining “on-prem” infrastructure, resulting in greater productivity, less strain on your team, and a better end-product for your clients.

VIRTUAL SERVERS FOR VFX ARTIST WORKSTATIONS

Spin-up new instances in as little as 5 seconds

With our proprietary auto-scaling technology, you can enjoy the benefits of bare-metal without the headache of managing infrastructure. Plus, our data centers provide the ultimate low-latency experience for end users so that real-time interactions feel responsive.

VIRTUAL SERVERS FOR PIXEL STREAMING

Detailed image of a server rack with glowing lights in a modern data center.
An IT professional configuring network cables in a server rack, focusing on Ethernet connections.

Get your research back on budget

Keep your data scientists on budget with the right hardware for the job. Allocate the resources they need to confidently achieve their research goals, while eliminating overspend on overkill cookie cutter cloud instances.

MACHINE LEARNING ON VIRTUAL SERVERS