# US vs Europe GPU cloud: choosing a side of the Atlantic URL: https://cloudj.net/blog/us-vs-europe-gpu-cloud Published: 2026-11-12 ยท Updated: 2026-11-12 > Decide between US vs Europe GPU cloud by job type: compare live model choice, data location, distance to users and bandwidth price, with a decision table. The US vs Europe GPU cloud question comes up for teams on both sides of the Atlantic, and for teams elsewhere who simply want a Western host. There is no general winner. The right side depends on what the GPU is doing: training or batch jobs care about price and model choice, serving cares about distance to users, and both may be constrained by where your data is allowed to go. This article lays out the trade-offs and gives a decision table, plus a method for comparing the two sides on the day you need a machine. For the overall method of choosing a GPU location, start with the [GPU cloud by location guide](https://cloudj.net/blog/gpu-cloud-by-location-guide). ## How location works on Cloudj Cloudj GPUs come from a live inventory of independent host machines in many countries. You choose a location by entering country codes in the console's **Country** field. Location is shown at country level only, so `US` means somewhere in the United States and `DE` somewhere in Germany. Which models are listed in each country changes during the day, and Cloudj does not publish a fixed list of models per country. That is why any comparison has to be made live. ## Trade-off 1: model choice on the day You may have heard that one side "has more GPUs". Do not rely on that. What matters is whether the specific model and GPU count you need is listed when you search. The practical method: 1. Open the [GPU deploy page](https://app.cloudj.net/deploy/gpu) and pick your model and GPU count. 2. Search with `US`. 3. Search again with `DE, NL`, adding other European codes your policy allows. 4. Compare the top results on price, reliability, max duration and bandwidth price. If one side returns nothing, that settles it for today. If both return machines, the rest of this article helps you choose. ## Trade-off 2: data location If your data must stay in particular countries, that decides the side before anything else. Enter only the allowed codes, for example EU countries for a European policy, and choose among what is listed. The filter controls where the host machine is; it does not make a workload compliant with any regulation, and Cloudj makes no compliance claim for itself or for hosts. Check your own legal obligations. ## Trade-off 3: distance to users For interactive serving, put the GPU on the same side as most of your users. A transatlantic round trip is paid on every request, and for chat or voice that adds up. For training, embeddings or rendering, distance barely matters, and you can take whichever side offers the better listing. If your users are split across both continents, you can serve from both: one GPU in `US`, one in `DE` or `NL`, each behind a front end near its users. ## Trade-off 4: bandwidth price and transfers Bandwidth is charged per GB downloaded and uploaded at each machine's own price per TB. Prices differ between machines, not by a rule about continents, so compare the specific listings. Also think about where your data already sits: if your dataset is in a European bucket, training in Europe avoids sending it across the Atlantic and back. ## US vs Europe GPU cloud: the decision table | Your situation | Lean towards | Why | |---|---|---| | Training or fine-tuning, no data restriction | Whichever side lists the right card at the better total price | Distance does not matter for batch work | | Training with data that must stay in the EU | Europe (`DE`, `NL` and other allowed EU codes) | Policy decides first | | Serving users mainly in North America | US | Shorter path on every request | | Serving users mainly in Europe | Europe | Same reason | | Serving users on both continents | Both, one GPU per side | Each user group gets a short path | | Dataset already stored in one region | That region | Avoids repeated transfers and bandwidth charges | | Users in Asia or Latin America | Neither by default | Search near the users first; use the US or Europe as a fallback | ## A hybrid pattern: train on one side, serve on the other Many teams separate the two jobs. They train or fine-tune wherever the best listing is that week, copy the resulting weights or adapter to storage they control, then serve from a GPU near their users. Because each listing is independent, with no hardware SLA and an "available until" date after which the instance and disk are removed, keeping weights off the GPU is good practice anyway. Copying an adapter from the training instance to your own storage is one command: ```bash rsync -avP -e "ssh -p " root@:/workspace/adapter/ ./adapter/ ``` For more on each side, see the [GPU cloud USA guide](https://cloudj.net/blog/gpu-cloud-usa) and the [GPU cloud Europe guide](https://cloudj.net/blog/gpu-cloud-europe-guide). ## Front ends on each side A serving GPU should sit behind a stable VPS that holds your domain, TLS, API and queue. Cloudj has VPS locations on both sides: eight cities in the [United States](https://cloudj.net/cloud-servers/united-states), and in Europe locations including Frankfurt in [Germany](https://cloudj.net/cloud-servers/germany), Amsterdam in the [Netherlands](https://cloudj.net/cloud-servers/netherlands) and London. If you are choosing between the European cities, [Frankfurt vs Amsterdam vs London](https://cloudj.net/blog/frankfurt-vs-amsterdam-vs-london-vps) compares them. ## Billing is the same on both sides GPU instances are billed per minute from a prepaid balance in US dollars, whatever the host country. The price shown at deploy is locked for that instance. Running cost is GPU plus disk; stopped cost is storage only. Live "from" prices for each model are on [GPU cloud](https://cloudj.net/gpu-cloud). ## FAQ ### Is the US cheaper than Europe for GPUs? There is no fixed rule. Prices differ by machine and change constantly. Search both sides and compare the listings in front of you. ### Can I search the US and Europe together? Yes. Enter `US, DE, NL` and the results include all three, sorted by total price. That is useful for training jobs where you do not mind which side wins. ### Which side is better for an EU-only data policy? Search only the EU codes your policy allows. Check your own legal obligations; Cloudj makes no compliance claim. ### Can I see the city of a US or German GPU? No. GPU locations are shown at country level only. ## Compare both sides now Open the [GPU deploy page](https://app.cloudj.net/deploy/gpu), choose your model, then search `US` and `DE, NL` one after the other. Live prices for every model are on [GPU cloud](https://cloudj.net/gpu-cloud).