Tenant Isolation Verification for Enterprise GPU Cloud

Quick Answer: Tenant isolation verification is the proof work, not the architecture slide. You collect tests, logs, and access reviews that show one tenant cannot read another tenant’s GPU memory, local disks, management APIs, or operator sessions.

Tenant isolation verification is an evidence process that tests whether GPU-cloud tenancy boundaries hold under real admin, failure, and reuse conditions. A diagram that says “isolated” is a claim. Verification is what a security review can file.

This page is a verification brief. It is not a dedicated-versus-shared inference tenancy chooser and not a project-namespace isolation guide. Those pages decide a model. This one asks what you would accept as proof.

What must isolation verification actually prove?

Prove three boundaries: compute reuse, data residue, and privileged reach. Compute reuse asks whether a GPU or host scheduled to tenant B still holds tenant A’s weights or activations. Data residue asks whether local scratch, core dumps, and crash logs were wiped or made unreadable. Privileged reach asks whether a provider operator, a noisy neighbor, or a compromised control plane can open the wrong console.

Network isolation is necessary and insufficient. A private VLAN does not erase HBM contents after a preemption. If the provider only shows firewall diagrams, you have not verified GPU tenancy.

Which tests belong in an enterprise evidence pack?

Run or witness a scheduled reuse test: stop a job that wrote a recognizable pattern into GPU memory and local NVMe, then start a second tenant on the same device class and try to recover that pattern. Record the wipe method, the timestamp, and who triggered it. A screenshot of “utilization 0%” is not a wipe.

Review break-glass paths. Ask who can open serial console, vendor tools, or host BMC while your job is running. Ask whether those sessions are ticketed, time-boxed, and visible to you. If the answer is “trusted staff,” isolation is a staffing hope, not a control.

Check identity scope on the control plane. A tenant admin should not list another tenant’s jobs, images, or metrics labels. A cluster admin should not need standing access to customer namespaces to keep the fabric up. Private AI infrastructure that assigns exclusive hosts reduces how often reuse tests must pass. It does not retire the evidence pack.

When does exclusive hardware still need verification?

Exclusive GPUs remove same-device neighbors. They do not remove provider operators, shared storage appliances, or a common Kubernetes API. Verify those remaining planes the same way: residue, reach, and audit. U.S. halls, including Texas / Richardson capacity at OneSource Cloud, change legal venue and physical access. They do not replace a wipe log.

OnePlus Platform, OneSource Cloud’s AI orchestration platform, can show which project held which GPU and when. Use that as a timeline for the test, not as a substitute for the test. If you cannot name the last host that ran a regulated job, you cannot close the review.

FAQ

Is a SOC 2 report enough to skip GPU isolation tests?

No. A report describes a vendor’s control system at a point in time. It does not show that your last training job left no weights on a reused H100. Ask for the control, then ask for an instance of that control running on the SKU you will use.

Does dedicated tenancy make verification unnecessary?

It removes the most common neighbor path. You still verify operator access, storage residue, and what happens at contract end. Dedicated is a smaller test surface, not a blank check.

What should a first-pass isolation review take?

Enough time to watch one reuse test, read one privilege matrix, and sample one week of admin sessions. If the provider cannot schedule that, treat isolation as unverified even if the marketing page says single-tenant.

How is this different from network isolation?

Network isolation answers who can route to the node. Tenant isolation verification answers who can read what the node still holds after your process dies. Both are required. Only one of them is usually in the first sales deck.

Summary

Tenant isolation verification is evidence that reuse, residue, and privileged reach cannot expose one GPU-cloud tenant to another. Architecture claims are inputs. Wipe logs, privilege matrices, and witnessed reuse tests are outputs.

Teams that need exclusive hosts plus an auditable project timeline can review OneSource Cloud’s private AI infrastructure, managed operations, and AI orchestration platform as an example of capacity that is easier to test than a crowded shared pool.