--- title: "Vultr Alternative: Same AMD EPYC Specs, Up to 68% Cheaper | CubePath" description: "CubePath is the Vultr alternative with AMD EPYC + NVMe cloud servers: High Performance and VX1 specs matched tier for tier, up to 68% cheaper, dedicated vCPU from $31.92/mo, DDoS protection included and hourly billing. Compare prices side by side." language: en source: https://cubepath.com/vultr-alternative --- # Looking for a Vultr alternative? The same AMD EPYC cores and NVMe, for a fraction of the bill. AMD EPYC + NVMe cloud servers matched to Vultr High Performance and VX1 specs, tier for tier, with DDoS protection included. [Deploy a server](https://my.cubepath.com/deploy/vps) [Compare plans](https://cubepath.com/vps) Up to 68% cheaper Dedicated vCPU from $31.92/mo DDoS protection included No long-term contracts. Spin up in seconds, pay only for what you use. Switching? Top up $10 or more with code `EYG37EFYG` in your first 60 days and get $20 extra in credit. Same config · 4 vCPU · 8 GB · AMD EPYC · NVMe $16.71 /mo Best price VS $48.00 /mo You save −65% Up to 68% lower than a comparable Vultr High Performance server Up to 2× cores on dedicated vCPU plans at the same RAM tier $0 for DDoS protection, included on every server Price comparison ## Same cores. Same NVMe. Lower bill. CubePath General Purpose servers matched against Vultr High Performance instances on AMD EPYC, spec for spec. | Configuration | Vultr | CubePath | You save | | ------------------- | ---------------------------------------- | -------------------------------------------- | -------- | | 1 vCPU · 2 GB RAM | $12.00/moHigh Performance · 50 GB NVMe | $5.56/mogp.nano · 40 GB NVMe | −54% | | 2 vCPU · 4 GB RAM | $24.00/moHigh Performance · 100 GB NVMe | $9.61/mogp.micro · 80 GB NVMe | −60% | | 4 vCPU · 8 GB RAM | $48.00/moHigh Performance · 180 GB NVMe | $16.71/mogp.starter · 100 GB NVMe | −65% | | 8 vCPU · 16 GB RAM | $96.00/moHigh Performance · 350 GB NVMe | $30.90/mogp.small · 200 GB NVMe | −68% | | 12 vCPU · 24 GB RAM | $144.00/moHigh Performance · 500 GB NVMe | $57.26/mogp.medium · 300 GB NVMe · 32 GB RAM | −60% | ### Dedicated vCPU, side by side For workloads that need guaranteed cores: CubePath Dedicated CPU against Vultr VX1 with local NVMe, matched on RAM. | Configuration | Vultr | CubePath | You save | | ------------- | ---------------------------------------------- | ---------------------------------------------------- | -------- | | 8 GB RAM | $55.48/moVX1 · 2 dedicated vCPU · 120 GB | $31.92/modc.starter · 4 dedicated vCPU · 100 GB | −42% | | 16 GB RAM | $111.69/moVX1 · 4 dedicated vCPU · 240 GB | $60.31/modc.small · 8 dedicated vCPU · 200 GB | −46% | | 32 GB RAM | $223.38/moVX1 · 8 dedicated vCPU · 480 GB | $113.03/modc.medium · 12 dedicated vCPU · 300 GB | −49% | | 64 GB RAM | $446.76/moVX1 · 16 dedicated vCPU · 960 GB | $202.25/modc.large · 24 dedicated vCPU · 400 GB | −55% | | 128 GB RAM | $892.79/moVX1 · 32 dedicated vCPU · 1,920 GB | $315.81/modc.xxlarge · 40 dedicated vCPU · 800 GB | −65% | | 192 GB RAM | $1,339.55/moVX1 · 48 dedicated vCPU · 2,880 GB | $427.33/modc.xxxlarge · 48 dedicated vCPU · 1,000 GB | −68% | Both columns include one dedicated IPv4, so the rows compare like with like: $1.50/mo here, included in the plan price at Vultr. CubePath figures are the monthly compute rate plus the $1.50/mo dedicated IPv4, the same figures /pricing shows by default. Vultr figures are the monthly prices in USD published in Vultr's own public plans API on 20 October 2026, which are the monthly cap of its hourly billing and include one IPv4\. VX1 with local NVMe is offered in a subset of Vultr's regions. Specs are matched as closely as possible; where a tier differs, each column states its own configuration, and Vultr plans ship larger disks at most sizes. [Deploy a server](https://my.cubepath.com/deploy/vps) [See all VPS plans](https://cubepath.com/vps) [Welcome bonus Add $10, get $20 extra New to CubePath? In your first 60 days, top up $10 or more in Add Funds with the code EYG37EFYG and you get $20 in extra credit that never expires, to start moving your servers over from Vultr. Get $20 extra](https://my.cubepath.com/balance/add-funds) Plan by plan ## Which CubePath plan replaces your Vultr instance Find your current plan ID on the left and the plan to deploy on the right. Regular Performance (vc2) and High Performance (vhp) map to General Purpose, VX1 maps to Dedicated CPU. High Frequency (vhf) and the Intel High Performance plans map the same way by vCPU and RAM. | Vultr plan ID | CubePath equivalent | | ---------------------------------------- | ------------------------------------- | | vc2-1c-2gb1 vCPU · 2 GB | gp.nano1 vCPU · 2 GB · 40 GB | | vc2-2c-4gb2 vCPU · 4 GB | gp.micro2 vCPU · 4 GB · 80 GB | | vc2-4c-8gb4 vCPU · 8 GB | gp.starter4 vCPU · 8 GB · 100 GB | | vc2-6c-16gb6 vCPU · 16 GB | gp.small8 vCPU · 16 GB · 200 GB | | vc2-8c-32gb8 vCPU · 32 GB | gp.medium12 vCPU · 32 GB · 300 GB | | vc2-16c-64gb16 vCPU · 64 GB | gp.large24 vCPU · 64 GB · 400 GB | | vhp-1c-2gb-amd1 vCPU · 2 GB | gp.nano1 vCPU · 2 GB · 40 GB | | vhp-2c-4gb-amd2 vCPU · 4 GB | gp.micro2 vCPU · 4 GB · 80 GB | | vhp-4c-8gb-amd4 vCPU · 8 GB | gp.starter4 vCPU · 8 GB · 100 GB | | vhp-8c-16gb-amd8 vCPU · 16 GB | gp.small8 vCPU · 16 GB · 200 GB | | vhp-12c-24gb-amd12 vCPU · 24 GB | gp.medium12 vCPU · 32 GB · 300 GB | | vx1-g-2c-8g2 dedicated vCPU · 8 GB | dc.starter4 dedicated vCPU · 8 GB | | vx1-g-4c-16g4 dedicated vCPU · 16 GB | dc.small8 dedicated vCPU · 16 GB | | vx1-g-8c-32g8 dedicated vCPU · 32 GB | dc.medium12 dedicated vCPU · 32 GB | | vx1-g-16c-64g16 dedicated vCPU · 64 GB | dc.large24 dedicated vCPU · 64 GB | | vx1-g-32c-128g32 dedicated vCPU · 128 GB | dc.xxlarge40 dedicated vCPU · 128 GB | | vx1-g-48c-192g48 dedicated vCPU · 192 GB | dc.xxxlarge48 dedicated vCPU · 192 GB | Vultr Cloud GPU has no CubePath equivalent: CubePath runs CPU-only AMD EPYC servers, so GPU workloads are better kept where they are. Vultr's older Optimized Cloud Compute General Purpose plans (voc-g) are also dedicated vCPU and map to the same Dedicated CPU plan by RAM. Feature by feature ## How CubePath compares to Vultr Where the two match, and where each one goes further. | Feature | CubePath | Vultr | | -------------------------------------- | ------------------------- | ----------------------------- | | Price · 4 vCPU / 8 GB, shared AMD EPYC | $16.71/mo | $48.00/mo | | Price · 8 GB with dedicated vCPU | $31.92/mo · 4 cores | $55.48/mo · 2 cores | | Included traffic | 3 to 200 TB by plan | 2 to 12 TB by plan, pooled | | DDoS protection | Included | $10/mo per instance | | AMD EPYC + NVMe SSD | | | | Hourly billing with monthly cap | | | | Automatic backups | +20% of the plan | +20% of the plan | | Data center regions | Barcelona, Houston, Miami | 30+ regions on six continents | | Cloud GPU instances | | | | 1-click app marketplace | | | Why CubePath ## More server for the same budget The reasons developers and teams move their cloud servers to CubePath. ### A bill that stays low The same AMD EPYC cores and NVMe storage you would pick on Vultr High Performance, for up to 68% less every month. ### Dedicated cores for less CubePath Dedicated CPU gives you up to twice the guaranteed cores of a VX1 instance with the same RAM, at a lower monthly rate. ### More traffic included Every matched CubePath plan includes as much transfer as its Vultr counterpart or more: 10 TB on gp.starter against 6 TB on the 4 vCPU High Performance plan. ### DDoS protection included Always-on, network-level mitigation comes with every server, so there is no per-instance add-on to remember. ### Pay by the hour Spin servers up and down on demand. You are billed per hour with a monthly cap, so you never pay more than the listed rate. ### Real human support Talk to engineers who actually run the platform, in English and Spanish, with no paid support tiers required. What people move over ## The workloads that come from Vultr Anything that runs on a Vultr cloud server runs here. These are the ones we see most. [Docker and self-hosted PaaS Coolify, Dokploy, EasyPanel or plain Docker Compose, with full root and a public IP. gp.starter is the usual starting point.](https://cubepath.com/coolify) [AI agents and automation n8n workflows, coding agents and bots that need to stay up when your laptop is closed, on an always-on server with hourly billing.](https://cubepath.com/vps-ai-agents) [Websites and web apps WordPress, Laravel, Node, Next.js or a static build behind your own Nginx or Caddy, deployed from a clean image or a 1-click app.](https://cubepath.com/marketplace) [Databases and caches PostgreSQL, MySQL, MongoDB, Redis or Valkey on NVMe storage, with snapshots and automatic backups with up to 7 days of retention.](https://cubepath.com/vps) [Heavy and long-running jobs Builds, CI runners, video encoding or scraping on Dedicated CPU plans, and on bare metal when a whole machine is the right answer.](https://cubepath.com/baremetal) [1-click marketplace apps Portainer, Supabase, Grafana, Uptime Kuma, Silo, Nextcloud, GitLab and more, installed in one step instead of by hand.](https://cubepath.com/marketplace) ## Ready to cut your cloud bill? Deploy an AMD EPYC + NVMe server in under a minute and see the difference on your next invoice. [Deploy a server](https://my.cubepath.com/deploy/vps) Switching is easy ## Move from Vultr in three steps Bring your workloads over without the headache. 1 ### Pick your plan Match your current Cloud Compute or VX1 plan to a CubePath VPS with the table above, or size up for the same budget. 2 ### Deploy in seconds Launch from a clean OS image or a 1-click marketplace app, then restore your data from a snapshot or backup. 3 ### Point your DNS Update your domain's records to the new server, check that everything answers, then destroy the old Vultr instance so it stops billing. [See VPS plans](https://cubepath.com/vps) Buyer's guide ## How to choose a Vultr alternative The six things worth checking before you move a production workload, whichever provider you end up on. ### Compare the real cost per core and per GB, not the headline Entry prices tell you very little. Take the configuration you actually run, and price it on both sides with the extras included: the IPv4 address, DDoS protection, backups and any support plan. A 4 vCPU / 8 GB AMD EPYC instance is $48.00/mo on Vultr High Performance and $16.71/mo on CubePath `gp.starter`, both with an IPv4, so on that shape the gap is around 65% before either invoice adds anything else. Backups cost 20% of the plan on both sides. ### Know whether you need shared or dedicated vCPU Shared vCPU plans (Vultr Regular Performance, High Frequency and High Performance, CubePath General Purpose) split physical cores between tenants and are the right call for web apps, small databases, bots and staging. Dedicated vCPU plans (Vultr VX1 and Optimized Cloud Compute, CubePath Dedicated CPU) reserve physical cores for you, which matters for builds, CI runners, video encoding, game servers and anything latency-sensitive. Paying for dedicated cores you do not need is the most common way to overspend. ### Check included traffic and what an overage costs Vultr adds 2 TB of free transfer per account to each plan's allowance, from 2 TB to 12 TB on High Performance, pools it across all your instances and bills overage at $0.01/GB. CubePath includes from 3 TB on the entry plan up to 200 TB on the largest, which is as much or more than the matching Vultr plan at every size in the tables above. If you serve media or backups, price the traffic before the compute. ### Put the server where your users are Vultr runs more than 30 regions across six continents, including Madrid and Miami, so if your users are in Asia, Africa or Oceania it reaches places CubePath does not. CubePath serves the EU from Barcelona and the Americas from Houston and Miami. Latency is decided by geography, so measure it from where your users actually are: our [looking glass](https://cubepath.com/looking-glass) runs the test from each site. ### Look at how you get help when something breaks Check the language your provider answers in, the hours it covers and whether decent support is an add-on. CubePath support is handled by the engineers who run the platform, in English and Spanish, with no paid tiers to unlock it. Also confirm how DDoS mitigation is sold: on Vultr it is an optional $10/mo per instance, on CubePath it is network-level and included with every server. ### Make sure you can leave again A provider worth moving to is one you could move away from. Look for snapshots and backups you control, an API and a CLI for automation and plain `rsync` or `rclone` access to your data. CubePath exposes a REST API and an open source CLI, the counterpart to `vultr-cli`, so the same migration you are doing now stays a scripted job rather than a manual rebuild. Summary: for shared AMD EPYC instances CubePath is roughly 54% to 68% cheaper than the equivalent Vultr High Performance plan, and for dedicated cores it is roughly 42% to 68% cheaper than the equivalent VX1 plan, with as many or more cores at the same RAM tier and DDoS protection included. Vultr covers more regions, offers cloud GPUs and ships larger disks at most sizes. Everything else, from NVMe storage and AMD EPYC CPUs to hourly billing and 20% backups, is common ground. FAQ ## Vultr vs CubePath The questions we hear most from people making the switch. Is CubePath cheaper than Vultr? For comparable AMD EPYC cores and RAM, yes. A Vultr High Performance plan with 4 vCPU and 8 GB is $48.00/mo with its IPv4, while the equivalent CubePath `gp.starter` is $16.71/mo with its own. You can check the full lineup on the live [VPS plans](https://cubepath.com/vps) page. Are the specs really comparable? We match vCPU and RAM tier for tier, on AMD EPYC CPUs with NVMe SSD storage, the same class of hardware Vultr's High Performance and VX1 lines run on. Vultr ships larger disks at most sizes, and each column in the tables above states its own configuration so you can see exactly what you get. How much traffic is included? Every CubePath server ships with a monthly transfer allowance, from 3 TB on the entry plan up to 200 TB on the largest ones. Vultr High Performance plans include 2 to 12 TB, pooled across your account with an extra 2 TB free per account, and bill overage at $0.01/GB. Where are your data centers? CubePath runs data centers in Barcelona (EU), plus Houston and Miami in the US, so you get EU data residency alongside low-latency coverage for North and South America. Vultr has a wider footprint, so if you need a region in Asia, Africa or Oceania it remains the broader option. Can I migrate my Vultr instance? Yes. You move it yourself with the tools you already use: deploy a CubePath VPS, copy your data over from a snapshot, a backup or a plain `rsync` between servers, test it, and point your DNS at the new server. Do you offer hourly billing like Vultr? Yes. Servers are billed per hour with a monthly cap, so you never pay more than the listed monthly rate. As on Vultr, a server bills for as long as it exists, including while it is stopped, so destroy it when you are done to stop the charge. Do you offer dedicated vCPU, like VX1 or Optimized Cloud Compute? Yes. The CubePath Dedicated CPU line gives you guaranteed physical cores with no noisy neighbours, starting at $31.92/mo for 4 cores and 8 GB, compared with $55.48/mo for a 2 vCPU, 8 GB VX1 with local NVMe. How do I get started? Pick a plan from the [VPS page](https://cubepath.com/vps) , deploy it in seconds and you are running. If you would like a hand sizing the move, [talk to our team](https://cubepath.com/contact) first and we will recommend the right plan for your workload. Do you offer bare metal servers like Vultr Bare Metal? Yes. Alongside cloud servers, CubePath rents full bare metal machines with dedicated CPUs, RAM and NVMe storage, and Windows or custom ISO installs are available there. See the [dedicated servers](https://cubepath.com/baremetal) page for the current lineup. Is DDoS protection included? Yes. Every CubePath server is covered by always-on, network-level DDoS mitigation at no extra cost. On Vultr, DDoS protection is an optional add-on at $10/mo per instance. Do you have GPU servers like Vultr Cloud GPU? No. CubePath runs AMD EPYC CPU servers only, so for GPU training or inference Vultr Cloud GPU stays the right tool. Everything around the GPU, such as the API, the database, the queue workers and the website, can run on CubePath. Is there a Vultr alternative with a data center in Spain? Yes. CubePath's European site is in Barcelona, so your data stays in the EU and in Spain specifically, with a short network path for users in Spain, Portugal and southern Europe. Vultr also has a Madrid region, so on location the two are close; the difference is in price, included traffic and DDoS protection. Which Vultr plan types match which CubePath line? Vultr Regular Performance, High Frequency and High Performance are shared vCPU and map to CubePath General Purpose (`gp.*`). VX1 and Optimized Cloud Compute reserve dedicated vCPU and map to CubePath Dedicated CPU (`dc.*`). The table above maps the most common plan IDs one by one. Is there an API and a CLI, like vultr-cli? Yes. CubePath has a REST API and an open source CLI, so you can create, rescale, snapshot and destroy servers from a script or a CI pipeline, the same way you automate Vultr today. ## Ready to switch? Deploy an AMD EPYC + NVMe server in seconds and keep the difference. [Deploy a server](https://my.cubepath.com/deploy/vps) [Compare plans](https://cubepath.com/vps) Vultr is a trademark of The Constant Company, LLC. CubePath is not affiliated with, endorsed by or sponsored by Vultr. Prices and specifications are those published by each provider and may change.