# US East vs West VPS: choosing among 8 American cities URL: https://cloudj.net/blog/us-east-vs-west-vps Published: 2026-11-11 ยท Updated: 2026-11-11 > US East vs West VPS compared: how New York, Atlanta, Miami, Chicago, Dallas, LA, Santa Clara and Seattle fit your users, with a clear city verdict. The US East vs West VPS question looks simple until you notice how wide the country is. A server in New York and a server in Los Angeles are nearly 4,000 km apart, so the coast you pick shapes how fast your service feels for most of your users. Cloudj runs cloud servers in eight American cities, and they fall neatly into three groups: the East Coast, the middle of the country and the West Coast. This article treats the decision as a decision tree. Answer a few questions about your audience and your dependencies, and the right city usually becomes obvious. For the wider context on Cloudj locations across North America, Oceania and Israel, see the [Americas, Oceania and Israel VPS guide](https://cloudj.net/blog/americas-oceania-israel-vps-guide). ## US East vs West VPS: the eight cities in three groups | Group | Cities | Faces toward | Typical fit | |---|---|---|---| | East | New York, Atlanta, Miami | Europe, US East Coast, Latin America (Miami) | Finance and trading, Europe-plus-US audiences, Southeast US, Latin American users | | Central | Chicago, Dallas | The whole continental US | Nationwide apps, games, a single "middle" server for all US users | | West | Los Angeles, Santa Clara, Seattle | Asia-Pacific, US West Coast | Asia-facing services, tech-industry tools, West Coast users | Every US location has the same plan catalogue: from 1 vCPU, 1 GB RAM and 20 GB disk up to custom sizes of 104 vCPU and 512 GB RAM, with shared, general purpose and dedicated CPU types. Monthly plans include 5 TB of traffic per month in all eight cities. So once again the hardware will not decide this for you. Geography will. The [United States cloud servers page](https://cloudj.net/cloud-servers/united-states) lists the cities, and [best VPS in the United States](https://cloudj.net/blog/best-vps-united-states) covers the country as a whole. ## Step 1: where do most of your users connect from? Start with your analytics, not with intuition. Look at the share of sessions by US state and by country. - **Mostly East Coast states** (New York, New Jersey, Massachusetts, Pennsylvania, Virginia, Florida, Georgia): go East. New York covers the Northeast, Atlanta the Southeast, and Miami Florida. - **Mostly West Coast states** (California, Oregon, Washington): go West. Los Angeles covers Southern California, Santa Clara the Bay Area, and Seattle the Pacific Northwest. - **Spread evenly across the country:** consider Central. Chicago and Dallas sit between the coasts, so neither coast is far away. ### Step 2: do you also serve users outside the US? This is where the coasts really separate. - **Europe plus the US:** the East Coast is the side of the country facing the Atlantic. New York is the usual pick when a single server must serve both American and European users reasonably well. - **Asia-Pacific plus the US:** the West Coast faces the Pacific. Los Angeles, Santa Clara and Seattle are the natural places for a US server that also has users in Japan, Korea, Southeast Asia or Australia. If Asia is your main audience, though, a server in Asia may be a better base; see Singapore, Tokyo or Hong Kong on the [cloud servers page](https://cloudj.net/cloud-servers). - **Latin America:** Miami is a long-standing connection point between the US and Latin America, which makes it worth testing when you have users in Central and South America or the Caribbean. - **Canada:** Toronto is a separate Cloudj location; see the [Canada page](https://cloudj.net/cloud-servers/canada) if most of your Canadian users are in the East. ### Step 3: what does your workload talk to? Latency between your server and the services it calls often matters more than latency to end users. - A trading tool should sit near its broker's servers. Many brokers run their US infrastructure around New York, which is why [forex VPS in New York](https://cloudj.net/blog/forex-vps-new-york) is its own topic. Check where your broker's servers are rather than assuming. - An AI agent or automation that calls APIs hosted on the West Coast may run faster from Santa Clara or Los Angeles. The [AI agent VPS in the United States](https://cloudj.net/blog/ai-agent-vps-united-states) article walks through that set-up. - A scraper or monitoring job should be near the sites it reads, and a database client near its database. ## Step 4: measure before you commit Cloudj does not publish latency numbers for its US cities, and generic charts will not reflect your users' networks. A short test answers the question better than any article can: 1. In the [console](https://app.cloudj.net), deploy the smallest hourly server in two or three candidate cities. 2. From machines or monitoring probes near your users, and from the APIs your workload calls, run: ```bash ping -c 50 YOUR_SERVER_IP mtr --report --report-cycles 100 YOUR_SERVER_IP ``` 3. Compare the results over a full day, including your peak hours. 4. Delete the test servers. Hourly servers are charged for as long as they exist, running or stopped, so stopping them is not enough. The full method is in [testing VPS latency with ping and mtr](https://cloudj.net/blog/test-vps-latency-ping-mtr). ## Single city or one per coast? For many projects one well-placed server is enough. Two servers, one per coast, start to make sense when: - you have a large share of users on both coasts and response time matters to them; - you want a second location for failover if one city has a problem; - you serve both Europe and Asia from the US and want each region to hit its nearer coast. Running two servers doubles the infrastructure to maintain, so begin with one and add a second only when the measurements justify it. Saving a custom image of your configured server makes it easier to build the second one the same way. Hourly billing is handy for trying a second city before you commit to a monthly term. ## Cost All eight cities share the same plan catalogue and the same 5 TB monthly traffic allowance, so the city you choose rarely changes your bill much. Prices can still vary by location, so see live prices on the [pricing page](https://cloudj.net/pricing), or let the console show the exact price before you deploy. ## Verdict - **Choose the East (New York, Atlanta, Miami) if** most users are on the East Coast, you also serve Europe, you trade with brokers based around New York, or you have Latin American users (test Miami). - **Choose Central (Chicago, Dallas) if** your US users are spread across the country and you want one server that is never on the far side of the continent. - **Choose the West (Los Angeles, Santa Clara, Seattle) if** most users are on the West Coast, you also serve Asia-Pacific, or your workload calls APIs hosted on the West Coast. When two options look equal on paper, the latency test decides. ## FAQ ### Which US city should I pick for users in Asia? Start with the West Coast: Los Angeles, Santa Clara or Seattle. If Asia is your main audience rather than a secondary one, compare with a server in Asia itself before you decide. ### Which US city should I pick for users in Europe? The East Coast faces Europe, and New York is the usual starting point. Measure from your European users to confirm. ### Do all eight US cities include the same traffic? Yes. Monthly plans include 5 TB of traffic per month in every US city. On hourly billing, traffic is charged per GB used. ### Is a central US location a good compromise? Often, yes. Chicago and Dallas keep both coasts within reasonable reach, which suits nationwide audiences. If your users cluster on one coast, that coast will usually serve them better. ## Deploy in the right American city Once you know where your users and dependencies are, deploy your server in that city from the [Cloudj console](https://app.cloudj.net) in a few minutes. Check live prices on the [pricing page](https://cloudj.net/pricing), and use an hourly server first if you want to measure two cities side by side.