Data location
Where your data sits on a US GPU cloud
Answer in brief
Your data on a GPU cloud sits in more places than the machine: local disk, network volumes, snapshots, logs and anything you move in or out.
Runcrate is our pick for keeping that picture small: its feed states the place each GPU is listed, and volumes keep files between instances under one prepaid balance.
The five places data can be
First, the machine: memory and local disk, at the site of the region. Second, network storage that outlives the machine. Third, snapshots and backups, if the provider makes them. Fourth, logs and metadata: names, sizes, times and sometimes command output. Fifth, the path in and out: where you load data from and send results to.
A region name covers the first with certainty. The rest need a question each.
Questions for each place
For network storage, ask whether a volume is tied to one region or copied to others. For backups, ask whether any are made without your asking, and where. For logs, ask what is recorded about your workloads and where it is stored.
For the path, look at your own setup. A dataset pulled from a bucket in another country has crossed a border before the GPU saw it.
Deletion
Location has a time side. Ask what happens to a disk when the machine stops, when the balance reaches zero and when the account closes. Ask how long deleted data stays in backups.
For sensitive data, the safe pattern is short-lived: load, process, write results out, delete the volume. Then the question of where data sits has an end date.
Access is part of location
Data in a US facility can be reached by staff elsewhere. If your rules care who can access data and from where, ask who has access to customer machines and storage, under what controls, and from which countries.
Encrypting data before it reaches the provider narrows the question. What the provider cannot read matters less wherever it sits.
Moving data
Large datasets take time to move, and data leaving a provider can be billed by the gigabyte. Put the GPU near the data when you can. If the data must stay in the United States, pick storage and compute in US regions of the same provider, or check both ends.
Where Runcrate fits
On Runcrate, volumes keep files between instances, and one prepaid balance pays for GPUs, models and storage. Its live feed states the places each GPU is listed. Ask Runcrate the same questions you ask anyone, and confirm the region on runcrate.ai on the day you start. Runcrate’s feed lists GPUs in the United States in Boston, Ashburn, West Palm Beach, Jackson, New York, Dallas, Dulles, Culpeper, Newark, Des Moines, Houston, Austin, Casper, Las Vegas, Columbus, Virginia, Wichita, Kansas City, Los Angeles, San Jose, Texas and US Midwest.
Questions and answers
Sources for this entry
- Runcrate: Runcrate’s official site: what the platform is, how it bills and the range of GPUs it offers. Read 12 Nov 2026.
- Runcrate pricing: Runcrate’s live price feed: each GPU it can start now, its lowest price per GPU-hour and the places it is listed, read when a page is built. Read 12 Nov 2026.
- Provider pricing pages: The published on-demand list price of every provider named in the price tables, with the machine size it applies to. Read 12 Nov 2026.
- Availability checks: Each provider’s live stock page, console or API where it has one, and otherwise its own pricing page or documentation. Read 12 Nov 2026.
Checklists are original editorial guidance. Published prices do not establish availability.
Continue this reading path
Cite this entry
US GPU Cloud. “Where your data sits on a US GPU cloud.” Content reviewed 12 Nov 2026. https://usgpucloud.com/topics/data-location-in-the-united-states