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Isolated, dedicated compute for each of your users. Provisioned on demand, managed at scale, deployed across 60+ locations worldwide.
End-user compute is infrastructure you provision on behalf of the people who use your platform. Each person gets their own dedicated environment with its own CPU, memory, storage, and network connection, completely separate from every other user.
Unlike platform and application servers, which serve your product’s backend, this layer serves the individuals using your product. Every instance performs the same way regardless of how many other users are active, because no two instances share any underlying resources.
Instances that exist only when your user needs them.
Your platform requests an instance, we build it, your user connects. When they are done, the instance is destroyed. Nothing persists, nothing idles. Activation is sub-second. Teardown is clean: storage wiped, processes killed, resources released.
Instances that stay running whether the user is active or not.
The user’s environment is available the instant they connect. Everything they have configured, installed, or left running is exactly as they left it. Deployed to a fixed location with optional automatic failover to a secondary node.
Pre-built instances ready to be assigned the moment a user needs one.
A pool of instances already running, waiting to be claimed. When a user arrives, one is assigned and injected with their configuration. Near-instant from the user’s perspective. Pool size can be fixed or auto-scaled against demand signals you define.
Instances placed physically close to the systems your users need to reach.
Full, dedicated compute at the network edge. Not content caching. The user’s instance runs in the same facility or metro region as the target system, minimising network hops and latency. Location selection can be explicit, automatic, or dynamic.
Most platforms combine models to match different user segments.
Always-on for power users, on-demand for occasional users, warm pools for traffic spikes, all deployed edge-proximity. Configured as a single managed topology. You define the rules. The platform executes them.
Every instance is separated from every other instance on the network, even when running on the same physical hardware.
Dedicated CPU cores per instance. Reserved, not shared. No other instance can borrow or contend for them.
Allocated and reserved in full. Cannot be accessed by adjacent workloads or reclaimed by the host.
Encrypted at rest with a unique key per instance. Cryptographically destroyed on deprovisioning, not simply marked as available.
Isolated traffic paths per instance. Policy enforced at the infrastructure layer, outside the instance, so it cannot be tampered with from within.
Every action on an instance is available through the provisioning API and through our control panel. No action requires a support ticket or manual process.
Specify location, resource profile, and base image. The instance enters active state and is ready for your user.
Instance state preserved. Resources held, execution stopped. Billing can be reduced or paused.
Picks up exactly where it left off. No rebuild, no lost context.
Adjust CPU and memory on a running instance or queue the change for next resume.
Move to a different node or location. Stateful relocation preserves disk and configuration.
Terminated, wiped, released. Permanent and irreversible.
High clock speed, dedicated cores, lower memory. For CPU-bound, latency-sensitive workloads.
High memory relative to CPU. For large in-memory datasets, caches, and state tables.
Even distribution across CPU, memory, and storage. General-purpose.
High-throughput local NVMe with elevated IOPS. For heavy read/write workloads.
Every location is available through the same provisioning flow and the same management tools. An instance in London is provisioned the same way as one in Tokyo, São Paulo, or Chicago. Region is a parameter, not a project. New locations appear automatically.
End-user compute sits invisibly inside your platform, powering the experience your users see under your brand.
Your users see your interface and your branding. Think Huge is invisible unless you choose otherwise.
One credential manages your entire fleet. Bulk operations, fleet-wide policies, and aggregated reporting are built in.
Usage data available for integration with your own billing and metering systems. You define the pricing model. We supply the consumption data.
Users can self-provision within the boundaries you set, or your operations team can provision centrally through the API or control panel. Both models supported, along with hybrids.