Every packet between New York and Los Angeles passes through Chicago. Two buildings — 725 S Wells and 350 E Cermak — route more cross-country internet traffic than entire states. I tested 5 VPS providers here and measured latency to 12 US cities. The numbers prove what network engineers have known for decades: if you can only pick one datacenter location for the entire country, the math says Chicago.
Vultr Chicago won our testing — not because it was fastest to any single destination, but because it was the most consistent in every direction. Sub-40ms to every major US metro, 8ms to Toronto, and the only provider where the gap between median and P99 latency stayed under 3ms. For budget builds: RackNerd Chicago at $2.49/mo trails Vultr by just 4ms on most routes. At that price, you could run three RackNerd instances in three cities for less than one premium VPS elsewhere.
I need to tell you something that most VPS guides get wrong about Chicago. They call it a "central location" like it’s just about geography — as if being in the middle of the map is the whole story. It isn’t. Chicago’s advantage is infrastructure, not coordinates.
There are two buildings in downtown Chicago that handle more internet traffic than most countries:
The reason these buildings matter to you as a VPS buyer: peering density directly determines routing quality. A datacenter in, say, Kansas City might be geographically central, but it has a fraction of Chicago’s backbone interconnections. Your packet has to make more hops, each hop adding latency and jitter. From Chicago, most US destinations are reachable in 2-3 backbone hops. From less connected cities, you are looking at 4-6.
This peering density is also why Chicago punches above its geographic position. Look at the latency to Atlanta: 16ms from Chicago, despite being 720 miles away. That same 720 miles from Denver? 28ms. The difference is the number of direct peering routes available. Chicago has direct backbone connections to Atlanta. Denver usually routes through Chicago or Dallas to get there.
There’s another infrastructure detail that elevates Chicago’s network quality: the CME Group and CBOE matching engines, located in Aurora, Illinois (about 40 miles west of downtown). The presence of these derivatives exchanges means that telecom providers have invested heavily in ultra-low-latency fiber routes into the Chicago metro area. That investment benefits everyone, not just traders. The same premium fiber infrastructure that serves high-frequency trading also carries your web traffic, your API calls, your database replications. You get trading-grade network infrastructure at regular VPS prices.
Beyond the infrastructure story, the geographic numbers still hold up. Within 15ms of a Chicago datacenter, you reach:
No other US datacenter city can claim 70+ million people within a 15ms radius. New York has more population within 5ms, but its 15ms radius barely crosses the Appalachians. Dallas has better Sun Belt coverage but only reaches 25 million in that same 15ms window.
I pinged 12 US and Canadian cities every 5 minutes for 72 hours from each of the five providers tested. Here’s what the numbers looked like from the best performer (Vultr Chicago), with the range across all five providers shown in parentheses:
| Destination City | Vultr (Best) | Range (All 5) | Population Served |
|---|---|---|---|
| Indianapolis, IN | 4 ms | 4–8 ms | 2.1M metro |
| Detroit, MI | 7 ms | 7–12 ms | 4.3M metro |
| Minneapolis, MN | 9 ms | 9–14 ms | 3.7M metro |
| Toronto, Canada | 8 ms | 8–13 ms | 6.2M metro |
| Kansas City, MO | 11 ms | 11–16 ms | 2.2M metro |
| Atlanta, GA | 16 ms | 16–22 ms | 6.1M metro |
| New York, NY | 18 ms | 18–24 ms | 20.1M metro |
| Dallas, TX | 21 ms | 21–26 ms | 7.6M metro |
| Denver, CO | 23 ms | 23–28 ms | 2.9M metro |
| Miami, FL | 29 ms | 29–34 ms | 6.1M metro |
| Los Angeles, CA | 38 ms | 38–44 ms | 13.2M metro |
| Seattle, WA | 48 ms | 48–54 ms | 4.0M metro |
The column that matters most is the third one. Look at how tight the ranges are: the difference between the fastest Chicago provider and the slowest was never more than 6ms to any destination. That tells you something important — the choice of Chicago matters more than the choice of provider within Chicago. All five providers are riding the same backbone infrastructure through those two buildings downtown. The provider-to-provider variance is noise compared to the city-to-city variance you’d see from choosing, say, Seattle over Chicago.
The worst-case latency from Chicago to any city on this list is 54ms (Seattle, via Contabo’s St. Louis DC). From New York, your worst case would be 72ms to Seattle. From LA, 68ms to Miami. Chicago’s worst case is everybody else’s median case. That’s the central advantage in a single number.
I almost did not choose Vultr as #1 for Chicago. On paper, it ties with Linode on price ($5/mo) and the latency difference between them is 2ms on most routes — well within noise. What tipped it was the topology data.
Vultr’s Chicago VPS connects through the Equinix CH1 campus at 725 S Wells. I ran mtr traces to 20 destinations and counted the number of unique autonomous systems (ASes) each packet traversed. Vultr averaged 2.3 AS hops to reach any US destination. Linode averaged 2.7. RackNerd averaged 3.1. Fewer AS hops means fewer handoffs, fewer potential congestion points, and more predictable latency under load.
In practical terms: during a test I ran at 9pm Eastern on a Tuesday (peak US internet hours), Vultr’s latency to NYC crept from 18ms to 19ms. RackNerd’s went from 22ms to 28ms. Linode stayed flat at 20ms. Peak-hour resilience is where the quality of peering arrangements shows up, and Vultr’s Equinix presence gives it the most direct routes.
I tested the $5/mo plan (1 vCPU, 1GB RAM, 25GB NVMe) and the $24/mo plan (2 vCPU, 4GB RAM, 80GB NVMe). The Geekbench 6 scores were identical: 4,100 single-core. Both used the same AMD EPYC generation. This consistency matters for multi-region setups — Vultr deploys the same hardware across all 32 locations, so if you run Chicago + New York + LA, your capacity planning stays simple. One set of performance assumptions works everywhere.
The Akamai acquisition changed Linode’s Chicago story in ways that are not obvious from the dashboard. Before the merger, Linode Chicago was a solid mid-tier datacenter with standard transit providers. After, Linode’s traffic routes through Akamai’s private backbone — and Akamai operates one of the largest private networks on Earth, with more backbone capacity than most Tier 1 ISPs.
Here’s where that shows up in the data: jitter. Over 72 hours of testing, Linode Chicago’s standard deviation on the NYC route was 0.8ms. Vultr’s was 1.2ms. RackNerd’s was 3.4ms. When your packet rides a private backbone instead of the public internet, it avoids the congestion points that cause latency spikes. The average latency to NYC was 20ms (2ms behind Vultr), but the P99 was 22ms — meaning 99% of packets arrived within 2ms of the median. That is remarkable consistency.
For applications where a latency spike is worse than slightly higher average latency — VoIP, real-time collaboration, database replication, WebSocket-heavy apps — Linode’s Akamai backbone is arguably more valuable than Vultr’s lower average. A video call doesn’t care about your median ping; it cares about the packet that arrives 15ms late and causes a glitch.
Where Akamai’s backbone really shines: Canada. Linode Chicago to Toronto measured 8ms with a P99 of 9ms. To Montreal, 14ms with P99 of 16ms. Akamai has substantial Canadian infrastructure from its CDN business, and Linode inherits those optimized paths. If you are building something that serves both US Midwest and eastern Canada from a single server, Linode’s Toronto routing is the best I tested.
What I didn’t like: Linode still does not offer Windows VPS. The control panel is mid-transition between the old Linode Manager and the new Akamai Cloud interface, which means some features are in one place and some in the other. And the 1GB base plan shares the same problem as Vultr’s: not enough RAM for production. The $12/mo 2GB plan is the real starting point.
Let me frame this differently than the usual budget VPS pitch.
The latency from RackNerd’s Chicago datacenter to New York is 22ms. From Vultr, it is 18ms. That 4ms difference is less than the time it takes your browser to parse a single CSS file. For most real-world applications — websites, APIs, DNS, VPN — 22ms and 18ms produce identical user experiences. The human perceptual threshold for network latency is roughly 100ms; you are fighting over 4ms at the cost of doubling your monthly bill.
RackNerd Chicago makes sense when what you need is presence, not premium. Some use cases where the $2.49/mo plan is the right tool:
The catches are real though: CPU benchmark score of 3,200 (22% below Vultr), support tickets average 2-4 hours for a first response, and there is no API for programmatic management. RackNerd uses SolusVM, which works fine for manual server management but is a dead end if you are building infrastructure-as-code workflows.
RackNerd runs frequent promotions that drop Chicago VPS pricing even further — I have seen plans at $1.99/mo during holiday sales. These are annual-billing deals (you pay for the full year upfront), but at $24/year for a Chicago VPS with 1 vCPU and 1GB RAM, the cost is genuinely trivial. Check their full review for current deals.
Contabo’s nearest datacenter to Chicago is in St. Louis, Missouri, 260 miles south and 4ms away on the network. I need to be honest about that: this is not a Chicago VPS. It is a Midwest VPS. But before you dismiss it, consider what 4ms actually buys you.
For $6.99/mo, Contabo gives you 4 vCPUs and 8GB of RAM. To get 8GB at Vultr Chicago, you are paying $48/mo. At Linode, $48/mo. At DigitalOcean, $48/mo. Contabo is 85% cheaper for the same RAM allocation. The extra 4ms to reach Chicago-area users is the trade-off for a 7x cost reduction.
That trade-off is irrelevant for workloads like:
Your Jenkins or GitLab Runner does not care about 4ms. It cares about having enough RAM to run builds without swapping. 8GB is the difference between builds completing and builds crashing.
FFmpeg workloads are pure compute. 4 vCPUs in St. Louis transcode video at the same speed as 4 vCPUs in Chicago. The output file doesn’t arrive 4ms later.
VS Code Remote SSH to a Contabo with 8GB RAM and 4 cores vs. a Vultr with 1GB and 1 core for the same price. The development experience on Contabo is categorically better.
Minecraft, Palworld, and Valheim servers need RAM. 8GB runs a 20-player Minecraft server comfortably. 1GB runs nothing.
The honest downsides: Per-core CPU performance is lower (3,200 Geekbench vs. Vultr’s 4,100). Monthly billing comes with a one-time setup fee ($4.99) that’s waived on quarterly or longer terms. The 200 Mbps bandwidth cap is fine for most workloads but will bottleneck large file transfers. And support is slow — expect 6-12 hours for non-urgent tickets.
DigitalOcean does not have a Chicago datacenter. They don’t have one anywhere in the Midwest. Their nearest option is NYC3, which sits 18ms away from Chicago on the network and 80ms from Los Angeles. I’m including them in this list anyway because I know some of you are already on DigitalOcean and want to know if it can work for Midwest audiences. The answer is: it depends on what you’re willing to give up.
Here is what you gain by accepting the 18ms penalty: managed PostgreSQL, managed MySQL, managed Redis, managed Kafka, managed Kubernetes, App Platform (PaaS), Spaces (S3-compatible storage), load balancers, VPC, a mature Terraform provider, and a genuine API that does not feel like it was designed in 2008. For teams that value managed services over raw latency, this stack saves engineering hours that far exceed the cost of 18ms.
And here is what you lose: any claim to Midwest proximity. Your "Chicago" server is actually in New York. Users in Minneapolis see 28ms instead of 9ms. Users in Detroit see 15ms instead of 7ms. Users in Kansas City see 30ms instead of 11ms. And users in LA see 72ms instead of 38ms — that is the real killer. A DigitalOcean "Midwest workaround" has the worst West Coast performance of anything on this list.
The architecture I actually recommend for DigitalOcean users who need Chicago coverage:
It is not elegant. It adds operational complexity. But for teams deeply invested in DigitalOcean’s ecosystem, this hybrid approach works better than migrating everything to a provider that happens to have a Chicago DC but lacks managed services. See our full DigitalOcean review for benchmark data on their NYC3 facility.
| Provider | Price/mo | RAM | CPU Score | DC Location | NYC | LA | Toronto |
|---|---|---|---|---|---|---|---|
| Vultr | $5.00 | 1 GB | 4,100 | Chicago, IL | 18 ms | 38 ms | 8 ms |
| Linode | $5.00 | 1 GB | 3,900 | Chicago, IL | 20 ms | 41 ms | 8 ms |
| RackNerd | $2.49 | 1 GB | 3,200 | Chicago, IL | 22 ms | 40 ms | 10 ms |
| Contabo | $6.99 | 8 GB | 3,200 | St. Louis, MO | 22 ms | 42 ms | 12 ms |
| DigitalOcean | $6.00 | 1 GB | 3,800 | NYC3 (fallback) | 1 ms* | 72 ms | 14 ms |
*DigitalOcean latency is from their NYC datacenter, not from Chicago. Add 18ms for Chicago-originating traffic. Latency values represent median across 72-hour test window.
Chicago is a routing optimization play. I weighted the benchmarks accordingly — latency profiles and route quality mattered more than raw CPU scores or disk throughput. Here is the methodology:
All tests ran on base-tier plans ($5-7/mo) to reflect what most readers would actually deploy. I paid for every server with my own credit card — no vendor-provided test accounts, no inflated specs. See our testing methodology page for full details on our benchmarking process.
Chicago hosts two of the most critical internet exchange points in the Western Hemisphere: 725 South Wells Street (Equinix CH1/CH2) and 350 East Cermak Road (Digital Realty, formerly Lakeside Technology Center at 1.1 million square feet). Backbone providers including Lumen, Zayo, Cogent, NTT, and GTT all peer at these facilities. Fiber optic routes between the East Coast and West Coast physically pass through the Chicago metro area, so a packet traveling from New York to Los Angeles almost always transits through Chicago infrastructure. This backbone density translates to fewer hops and lower latency for VPS users.
It depends on your audience geography. Chicago averages 28ms to reach all 12 major US cities we tested, while Dallas averages 30ms. Chicago wins for: Midwest audiences (sub-15ms to 65 million people), Canadian traffic (8ms to Toronto vs 25ms from Dallas), and East Coast-leaning workloads (18ms to NYC vs 28ms from Dallas). Dallas wins for: southern US coverage, Latin American traffic, and West Coast latency (32ms to LA vs 38ms from Chicago). If your audience is concentrated east of the Mississippi or includes Canadian users, Chicago is the clear winner. See our Dallas VPS guide for the full comparison.
Based on our testing across all five providers, typical latency from a Chicago VPS: New York 18-22ms, Los Angeles 38-42ms, Dallas 20-24ms, Miami 28-32ms, Seattle 48-52ms, Denver 22-26ms, Atlanta 16-20ms, Minneapolis 8-12ms, Detroit 6-10ms, Toronto 8-12ms, Kansas City 10-14ms, and Indianapolis 4-8ms. The key takeaway: no single US city exceeds 52ms from Chicago, meaning your worst-case scenario from Chicago is better than the worst-case scenario from any coastal location. See the full latency matrix above for provider-by-provider breakdowns.
Chicago is one of the best locations for game servers serving East Coast and Midwest players. Sub-20ms to New York and sub-15ms to the entire Midwest means smooth gameplay for roughly 40% of the US population. The limitation is West Coast: 38-42ms to Los Angeles is playable for most games but not ideal for competitive FPS titles where every millisecond matters. For a nationwide Minecraft, Valheim, or Palworld server, Chicago is excellent — especially with Contabo’s 8GB plan at $6.99/mo. For competitive CS2 or Valorant with West Coast players, consider Dallas instead.
Chicago is THE location for CME and CBOE trading. The CME Group and CBOE matching engines are in Aurora, Illinois. A Chicago VPS delivers sub-2ms to these exchanges. However, for serious algorithmic trading you need colocation, not just a VPS in the same city — a VPS gets you 1-2ms while true colocation in the same facility gets you microseconds. For manual or semi-automated trading, a Chicago VPS is more than sufficient. For equities and Forex, NYC/NJ is better. For options, futures, and commodities, Chicago is the financial hub.
DigitalOcean has historically prioritized depth of managed services over geographic breadth. Their US strategy focuses on NYC and SFO, investing in managed databases, Kubernetes, App Platform, and other PaaS features rather than expanding to more cities. For DigitalOcean users who need Midwest coverage, the practical workaround is using NYC3 (18ms from Chicago) with Cloudflare or another CDN that has a Chicago PoP for cached content. Alternatively, run a hybrid setup: DigitalOcean NYC for managed services and a Vultr or Linode Chicago instance for latency-sensitive workloads.
Chicago is the single best US datacenter location for serving eastern and central Canadian users. Toronto is just 8-12ms away — faster than from any other US datacenter city, including New York (14-18ms to Toronto). Montreal reaches Chicago in 15-18ms. Ottawa in 12-16ms. Winnipeg in 16-20ms. The one exception is Vancouver at 45-50ms, where Seattle at 20ms is the better choice. If you need a single US server that covers both American and Canadian audiences, Chicago provides the best combined latency profile by a significant margin.
725 South Wells Street (Equinix CH1/CH2) and 350 East Cermak Road (Digital Realty) are the two most important carrier hotels in the Midwest. 350 E Cermak is one of the largest data centers in the world at 1.1 million square feet, housing major backbone interconnections and cloud on-ramps. 725 S Wells is where many VPS providers including Vultr connect to Chicago’s peering fabric. Both facilities sit on the same fiber corridors, but 350 E Cermak has more raw interconnection density while 725 S Wells has more cloud-focused tenants. For VPS users, the practical difference is negligible — what matters is that your provider peers well at either location.
The latency difference between RackNerd at $2.49/mo and Vultr at $5/mo is roughly 2-4ms on most routes — invisible to end users. The real differences are CPU performance (RackNerd scores 3,200 on Geekbench 6 vs Vultr’s 4,100), disk I/O consistency, peak-hour latency stability (RackNerd spiked 6ms during peak, Vultr only 1ms), and support quality (2-4 hours vs under 1 hour). For latency-sensitive but not compute-heavy workloads — VPN endpoints, DNS resolvers, monitoring probes — the $2.49 option is perfectly adequate. For production web apps, databases, or anything needing consistent CPU and I/O, the extra $2.51/mo buys meaningfully better performance.
Chicago’s advantage is not about being in the geographic center of the country — it is about sitting at the junction of the backbone infrastructure that connects the two coasts. Vultr exploits that infrastructure best with the fewest AS hops and tightest peak-hour performance. RackNerd gets you into the same backbone at half the price. Contabo gives you 8x the RAM if compute matters more than single-digit latency differences.