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Most buyers should pick Vultr.
Choose Akamai Cloud if you want its broad infrastructure menu and the $100 in credits, but its compute example is not directly comparable with Vultr’s published VX1 starting rates. Choose Vultr if you want clearer entry specs: VX1 starts at $0.060/hour with 2 vCPUs, 8 GB memory and 5 TB bandwidth on the Block Storage option. Neither has a free plan. We’d lean Vultr overall, while checking support and total costs before moving production workloads.
01Side by side
| Akamai Cloud | Vultr | |
|---|---|---|
| Starting price | 1 GB compute example: $0.0075/hour; entry price not published | VX1 starts at $0.060/hour; 2 vCPUs, 8 GB memory |
| Free plan | No free plan; $100 in credits, duration unstated | No free plan or trial listed |
| Best for | Low-latency apps needing a broad cloud infrastructure menu | Developers seeking flexible compute, storage, networking, and AI |
| Core strength | Compute, Kubernetes, databases, GPU workloads, and object storage | VMs, bare metal, GPU infrastructure, and storage |
| Learning curve | Automated Kubernetes deployment; learning curve not published | Single-click marketplace deployments; learning curve not published |
| Integrations/data | Managed MySQL, PostgreSQL, and object storage | S3-compatible object storage and expandable block storage |
| Team/seat costs | $100 per compute instance monthly for managed infrastructure; seats not published | Seat pricing not published |
| Support | Review score 5/10; support details not published | Review score 6/10; support details not published |
Akamai Cloud Choose Akamai Cloud if
- Choose Akamai Cloud if you need a broad cloud infrastructure menu
- Choose Akamai Cloud if you want managed MySQL or PostgreSQL clusters
- Choose Akamai Cloud if your workloads fit its compute plan options
Vultr Choose Vultr if
- Choose Vultr if you want published VX1 entry specs
- Choose Vultr if you need bare metal or GPU infrastructure
- Choose Vultr if you want single-click marketplace deployments
02Pricing compared
Akamai’s compute example is $0.0075 per hour for a 1 GB VM, but the pricing page does not give a monthly total. Charges round up to the nearest hour. Older plans include 0–20 TB of monthly transfer; overage rates are not published. Akamai also lists infrastructure management at $100 per compute instance per month.
Vultr’s VX1 Block Storage plans start at $0.060 per hour for General Purpose and $0.080 for Memory Optimized. Both entry configurations include 2 vCPUs and 5 TB bandwidth; memory is 8 GB or 16 GB, respectively. NVMe options start at $0.076 and $0.096 per hour. VX1 bills for actual hours used, with no 672-hour cap. Neither product has a free plan. Akamai offers $100 in credits, with duration unstated; Vultr lists no free trial. Annual discounts are not listed for either.
03Features and depth
Akamai’s menu covers Shared CPU, Dedicated CPU and High Memory compute, plus GPU workloads, object storage, managed MySQL and PostgreSQL, and Linode Kubernetes Engine. Its App Platform is described as a way to deploy cloud-native applications on Kubernetes with automated infrastructure. That breadth may suit teams weighing several infrastructure services from one provider, but the published pricing details leave some costs—such as extra IPs and Longview Pro—not stated.
Vultr offers Standard, High Performance and High Frequency VMs, bare metal servers, GPU infrastructure, S3-compatible Object Storage, and expandable NVMe-backed Block Storage. Its managed offerings include Kubernetes, databases and serverless inference; the Marketplace has pre-configured application images and software stacks. Vultr says its infrastructure spans more than 30 global data center regions. The published VX1 details make entry configurations easier to compare, but they do not establish the cost of every service. Our review scores favor Vultr on features, 9 to 8, while Akamai’s menu remains broad.
04Ease of use and learning curve
Neither product’s published information gives enough detail to judge the control panel, setup steps or migration tooling. Vultr’s Marketplace offers pre-configured application images and software stacks in single-click workflows, which may reduce some deployment steps; the source does not specify which apps or what setup remains.
Akamai lists an App Platform with automated infrastructure and managed Kubernetes, but that is not a guarantee that migration or day-to-day operations will be simpler. Our review scores put ease of use at 7 for Vultr and 6 for Akamai. Before moving production workloads, map your current compute, storage, network and managed-service needs to each provider’s published options, then confirm any costs the pricing pages leave unstated.
Questions people ask
Which is cheaper, Akamai Cloud or Vultr?
The listed rates are not like-for-like: Akamai’s $0.0075/hour example is a 1 GB VM, while Vultr’s VX1 entry options start at $0.060/hour with 2 vCPUs and 8 GB memory, or more. Compare the specs and likely bill for your workload, not just the hourly figures.
Do Akamai Cloud or Vultr offer a free plan or trial?
Neither has a free plan in the published pricing details. Akamai lists $100 in credits, but does not state how long they last. The published Vultr pricing information does not list a free trial. Confirm current eligibility and terms with each provider before budgeting around credits.
What are the entry-level Vultr VX1 specifications?
The General Purpose Block Storage option starts at $0.060/hour with 2 vCPUs, 8 GB memory and 5 TB bandwidth. General Purpose NVMe starts at $0.076/hour with the same CPU and memory, plus 120 GB NVMe storage. Memory Optimized options start at $0.080 and $0.096/hour.
Which provider has more managed services?
The published details list Akamai managed MySQL and PostgreSQL, Linode Kubernetes Engine and an App Platform. Vultr lists managed Kubernetes, databases and serverless inference. They do not provide comparable service counts, plan limits or prices for all managed options, so check the specific service terms before switching.