Fazt Compute
Compute options shaped around how game workloads actually run.
Fazt Compute provides flexible compute options for game workloads, including virtual machines, GPU instances, Kubernetes, and bare metal. It is designed to support development and production environments that need performance, control, and deployment flexibility.
Game workloads rarely fit a single compute model. Some need virtualized flexibility and fast provisioning. Some need GPU acceleration. Some need containerized environments. Some need direct access to dedicated hardware. Fazt Compute is designed to support that range without forcing teams into one rigid operating pattern.
Why compute choice matters
The right compute model affects more than raw performance. It influences how quickly environments can be provisioned, how flexibly teams can scale, how much control they retain, and how well workloads fit both development and production requirements. Fazt Compute is designed to give teams a practical choice between compute models so the workload can drive the architecture, not the other way around.
Virtual Machines
Our virtual machines are built on latest generation hardware and provides self-service access and automatic deployment through GUI, API and command line tools.
GPU Instances
Private GPU flavors are available for workloads that require NVIDIA passthrough. This makes Fazt Compute suitable for teams that need accelerated compute within the same infrastructure foundation as their virtualized and containerized workloads.
Container Service
Fazt.io Cloud provides a Kubernetes-based container service that supports full lifecycle management of container clusters inside the broader cloud environment. Kubernetes clusters can run on either virtual machines or bare metal and integrate with the rest of the platform for a more consistent operating model. Customers can manage clusters directly through GUI, API, or CLI, and the service can also be fully managed when needed.
Bare-Metal Servers
Our bare-metal servers are all about raw hardware power. It is a single-tenant physical server that is completely dedicated to a single customer. It is perfect for data-intensive workloads that prioritize performance and reliability.
One compute layer, multiple models
Fazt Compute is designed so these models do not have to exist in isolation. Virtual machines, Kubernetes, GPU-enabled workloads, and bare metal can all sit inside the same broader cloud foundation. That gives teams the freedom to choose the right compute model for each workload without fragmenting the environment or creating separate operational islands.
Built for development and production
Fazt Compute is designed for both development and production workloads. It supports internal development and test environments, production infrastructure, GPU-enabled workloads, Kubernetes clusters, and mixed models where some workloads need virtualization while others need dedicated hardware or acceleration.
Performance and platform context
Fazt.io Cloud combines high-performance compute with the broader platform capabilities teams need around it. The platform supports up to 1 million IOPS to virtual machines, standard 100Gbps networking with additional options available, and EPYC and Ryzen CPU options. It is built to support virtualized, GPU-enabled, and containerized workloads under one cloud foundation.
Where Fazt Compute fits best
Fazt Compute is a strong fit for live game infrastructure where low latency, scale, and flexible deployment models matter; internal development and test workloads where teams need tighter control; private cloud or hybrid operating models where deployment location and architecture matter; and multicloud strategies where workloads span Game-Hosting infrastructure and public cloud environments.
Self-service access and operational model
Fazt Compute sits inside a broader cloud platform where customers can provision and manage compute alongside networking, storage, Kubernetes, load balancing, and secure tenant and project management. The platform supports direct customer access through GUI, API, and command-line workflows, while also allowing services to be fully managed when required.
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