Akamai Cloud review

Akamai Cloud is a distributed cloud platform for building and delivering applications, with compute, Kubernetes, managed databases, GPU workloads and object storage. The product is aimed at teams that need infrastructure for applications where low latency matters, rather than a single-purpose website builder or marketing tool.

Compute comes in Shared CPU, Dedicated CPU and High Memory plans. The broader menu also includes Linode Kubernetes Engine for container orchestration, an App Platform for deploying cloud-native applications, and managed MySQL and PostgreSQL clusters. Object storage covers storing and distributing data. GPU compute is positioned for machine learning, scientific computing and video workloads.

The pricing model can bundle CPU, RAM, storage and transfer, but the exact inclusions depend on the plan. The published pricing details list a 1 GB VM example at $0.0075 per hour, billed by the hour rounded up. That is not enough to estimate a production bill without the chosen plan, region and any applicable transfer or add-on charges.

The main case for Akamai Cloud is range. A team can choose among shared, dedicated or high-memory compute, then add Kubernetes, managed databases, GPU compute or object storage as the workload requires. That gives infrastructure teams room to build a stack around application needs instead of choosing a provider for virtual machines alone.

The published product description says App Platform automates infrastructure for deploying cloud-native applications, while Linode Kubernetes Engine handles container orchestration. Managed MySQL and PostgreSQL clusters are available for production workloads. GPU instances target parallel-processing tasks such as machine learning and video work. Those are useful options if they match your architecture; they are not proof that every workload will be cheaper or faster.

There is also a defined support option for teams that want infrastructure management: the listed price is $100 per compute instance per month, with enrollment from an existing account and no contract or obligation. New customers are also offered US$100 in credits, though the duration is not stated. For migration planning, treat that credit as a discount with unclear timing, not as a published free-trial period.

The price picture is incomplete. The published pricing details give a $0.0075-per-hour example for a 1 GB VM, but no starting monthly price or annual price. Hourly charges round up to the nearest hour, and annual billing discounts are not stated. The $100 monthly managed-service fee is per compute instance, so teams should count instances before treating it as a flat support charge.

Transfer can also change the bill. Older plans include 0–20 TB of monthly transfer, but the applicable allowance varies by plan; overage rates are not stated. G8 and GPU-accelerated plans include no bundled transfer or egress. Extra IP addresses and Longview Pro may also be billed, with prices not published on the vendor's site. Check the plan-specific allowances and add-ons before comparing headline VM rates.

One Reddit thread compares a large Akamai Cloud VM at $768 per month with Contabo, but it is one user’s stated workload and price, not a like-for-like provider benchmark. The same thread includes conflicting user opinions about provider reliability and value. Treat that discussion as anecdotal, not a reason by itself to switch.

Akamai Cloud does not publish a single starting price in the published pricing details. One small VM example is $0.0075 per hour, billed hourly and rounded up to the nearest hour. The page also lists monthly service pricing, but no annual discount. Older plans include 0–20 TB of monthly transfer, depending on the plan; overage rates are not stated.

The clearest separate charge is Managed Service: $100 per compute instance per month, with no contract or obligation. That is not a higher compute tier, so the published figures do not show a like-for-like tier jump. Treat it as an added management cost on top of compute. The offer includes US$100 in credits, but the credit duration is not stated.

Check egress before choosing a plan: G8 and GPU accelerated plans include no bundled transfer or egress. Extra IPs and Longview Pro can also be billed, but their prices are not published. Get a workload-specific estimate before comparing totals.

The effort depends on which services you use. Inventory compute, Kubernetes, managed MySQL or PostgreSQL, GPU workloads, and object storage separately; moving a VM is a different job from moving a database or a containerized application. The published material does not specify migration tools, data-export formats, or transfer fees for moving data out, so confirm those details before planning a cutover.

Using managed services can mean more provider-specific setup to replace, while keeping application components portable may make a later move easier. That is a planning consideration, not a claim about a particular migration path. The pricing details also flag no bundled transfer or egress for G8 and GPU accelerated plans.

We were not given Reddit posts or comments for this review, so we can’t responsibly say what users report as reasons for leaving Akamai Cloud. Ask about export options, egress costs, and service dependencies before switching in or out.