Compute Instances - Plan Types
Linux virtual machines equipped with a tailored set of resources designed to run any cloud-based workload.
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On April 1st 2023, updated pricing will go into effect for some Compute services. This includes decreasing the cost of network transfer (egress) overage fees and a 20% price increase for Shared and Dedicated CPU Compute Instance plans (excluding the $5/mo 1GB Shared plan). For specific pricing changes, see the Upcoming Pricing Changes guide. To learn more general details about these changes, review the Akamai’s Cloud Computing Services: Pricing Update blog post.
|Shared CPU Instance||Shared||1 GB - 192 GB Memory, 1 - 32 vCPUs, 25 GB - 3840 GB Storage|
Starting at $5/mo ($0.0075/hour)
Offers a balanced array of resources coupled with shared CPUs, which keeps costs down while still supporting a wide variety of cloud applications.
Best for development servers, staging servers, low traffic web applications, and almost any modern web application.
|Dedicated CPU Instance||Dedicated||4 GB - 512 GB Memory, 2 - 64 vCPUs, 80 GB - 7200 GB Storage|
Starting at $30/mo ($0.045/hour)
Equipped with Dedicated CPUs, which provide competition free guaranteed CPU resources. Perfectly balanced for most production applications.
Best for production websites, enterprise applications, high traffic databases, and any application that requires 100% sustained CPU usage.
|High Memory Instance||Dedicated||24 GB - 300 GB Memory, 2 - 16 vCPUs, 20 GB - 340 GB Storage|
Starting at $60/mo ($0.09/hour)
Optimized for memory-intensive applications and equipped with Dedicated CPUs, which provide competition free guaranteed CPU resources.
Best for in-memory databases, in-memory caching systems, big data processing, and any production application that requires a large amount of memory while keeping costs down.
|GPU Instance||Dedicated||1 - 4 NVIDIA Quadro RTX cards, 24 - 96 GB Video Memory, 32 GB - 128 GB Memory, 8 - 24 vCPUs, 640 GB - 2560 GB Storage|
Starting at $1000/mo ($1.50/hour)
The only instance type that’s equipped with NVIDIA Quadro RTX 6000 GPUs (up to 4) for on demand execution of complex processing workloads.
Best for applications that require massive amounts of parallel processing power, including machine learning, AI, graphics processing, and big data analysis.
See Choosing a Compute Instance Type and Plan for a full comparison.
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