A workload is portable when the institution can move the working service, its necessary state and its operating controls to another environment. Possessing a container image is a useful start. It is not evidence that the application can leave a compute provider and resume useful work elsewhere.
This matters when decentralised compute is purchased through a marketplace with several independent providers. A choice of suppliers can improve procurement options, but effective exit depends on what the workload needs beyond leased processors. Data, runtime compatibility, network identity, credentials and orchestration can remain tied to the first deployment.
The image is one artefact
The Open Container Initiative image configuration specification defines an image in terms of filesystem changes and execution parameters. It provides a common technical representation. The institutional inference is that a portable representation helps move software, while application portability still depends on the surrounding environment and state.
The organisation should know where its images are stored, which versions were deployed and whether it can obtain them independently of the compute provider. A mutable image tag can point to different content over time. An exit record should identify the artefact actually used, so a replacement deployment does not accidentally become an application upgrade during recovery.
Build materials also matter. If the only usable image sits in a supplier-controlled registry, the buyer may possess a deployment instruction without possessing a recoverable artefact. The institution needs a tested route to retrieve or rebuild its approved application. That requirement follows from the intended exit process, rather than from the mere use of containers.
Hardware and runtime must match
Docker's multi-platform build documentation distinguishes platform targets and describes approaches such as emulation, native builds and cross-compilation. A container does not erase architecture differences. The buyer should establish which target platforms the actual image supports and how a replacement provider will run it.
GPU workloads add another compatibility discussion. The application may depend on a particular accelerator family, driver behaviour, runtime libraries or available memory. These dependencies should be identified and tested in the proposed exit environment. A provider offering a broadly similar resource label may not support the application's exact execution path.
The meaningful test runs the workload and checks its business output on the replacement environment. Starting a container proves that a process began. It does not show that the application processed a representative input, restored its state or met its necessary performance conditions. Acceptance should follow the task the institution expects the workload to perform.
Persistent state needs its own movement
Kubernetes documentation on persistent volumes explains that storage resources have lifecycles separate from individual pods and includes reclaim policies. That separation is useful evidence of why redeploying application code does not automatically move or preserve its data. The exact behaviour depends on the storage configuration and provider implementation.
An exit inventory can identify databases, uploaded files, model weights, checkpoints and any other state that cannot be recreated from the image. Each item needs an export method, format and destination. Temporary-looking directories also deserve examination if the application has started treating them as permanent. The inventory should reflect observed use, not only the original architecture diagram.
A snapshot is not a complete migration plan. The replacement environment must be able to restore it, and the application must interpret the result correctly. The institution should test export, transfer and restore as one sequence. If a proprietary storage format requires the original provider's service to reopen it, the exit path still contains that dependency.
Data transfer can dominate the exit
A workload with a small application image and a large dataset may spend most of its migration time moving state. The exit plan needs a transfer volume, source path, permitted bandwidth and a verification method. Pricing the next compute lease without those ingredients does not describe the cost or duration of leaving the first provider.
A hypothetical model service may restore quickly once its weights and index are available. If those artefacts reside only in a slow export path, the processor supply is not the bottleneck. Another service may have little stored data but many credentials and external integrations to reconfigure. The exit exercise should identify the actual constraint instead of assuming all container workloads move similarly.
Financing the AI compute buildout looks at capacity and capital requirements. Portability diligence examines the buyer's ability to change that capacity relationship. Available processors elsewhere are useful only when the workload's necessary material can reach and run on them.
Secrets and identity cannot be copied blindly
A replacement deployment needs access to the services the application uses, but reusing every credential may preserve an unwanted connection to the old environment. The institution needs a procedure for granting the new workload authority and ending the old workload's authority. That procedure should identify who controls the keys and how the transition is verified.
Network identity also matters. External clients may depend on a domain, certificate, allowlisted address or callback route. The application can be healthy on the new provider while customers still reach the old one. Exit testing therefore needs the request path used by actual consumers, not just an internal health check inside the replacement deployment.
These questions do not imply that a provider can or cannot support a particular control. They define what the buyer must establish. A marketplace's resource listing is evidence about an offer, while the institution's migration exercise is evidence about its own application and authority configuration.
Decide how writes cross the transition
A stateful application can keep receiving changes while its data is exported. The institution needs a defined cutoff or synchronisation process, together with evidence that accepted writes are present after migration. A backup that predates the final accepted request may restore a healthy but incomplete service. The exit report should show how that gap was addressed.
Duplicate processing is another possibility. If both deployments act on the same queue or payment instruction, migration can create repeated actions. The transition process needs a way to establish which instance owns the work and what happens to incomplete jobs. The solution depends on the application, but the acceptance test should make the ownership transition visible.
The record can retain the last accepted work identifier before the switch and the first completed work identifier afterward. Those references help reviewers trace continuity. A service restart timestamp alone says little about whether the application lost or repeated obligations during the move.
Demonstrate exit under a constrained scenario
An exercise can deploy the approved artefact with an independent provider, restore representative data, issue fresh credentials and route a test request through the intended consumer path. It should compare the output with an independently established expectation. The purpose is to expose a missing dependency before exit becomes urgent.
The scenario can then remove the primary provider from the steps that are supposed to be independent. Can operators obtain the image, mappings and recovery instructions without that provider's console? Can they establish which data version was restored? Digital asset disaster recovery drills provides the wider testing discipline for that evidence.
Retain the right to use the replacement artefacts
Technical possession and permitted use of an artefact are separate procurement questions. A workload may contain model weights, datasets or third-party components subject to use conditions. The exit inventory should identify which materials the organisation can redeploy and which require a supplier decision or another licence arrangement. This is a question to resolve from the applicable agreements, not a conclusion that containerisation grants those rights.
A migration test can therefore include a procurement review of the actual replacement package. If the tested environment differs in geography, operator or service model, the institution should establish that its existing permissions cover the intended deployment. A working demonstration remains valuable technical evidence, but it should not obscure a dependency on the original supplier to authorise continued use. The exit record is clearer when these conditions sit alongside runtime and data dependencies.
The final portability record should state what was demonstrated and what remains conditional. It might prove movement for a particular workload version, dataset size and target environment without proving every possible migration. That bounded conclusion is useful: it tells procurement which dependencies need further work and which exit assumptions have evidence.
Decentralised compute offers supplier choice at the market layer. Workload portability is earned at the application layer. The institution can call the exit path usable when software, state, authority and consumer access have moved together and the replacement service has completed the work it was meant to perform.