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On July 5th 2023, Akamai released three additional data centers: Chicago (USA), Paris (France), and Washington, DC (USA). Customers can leverage these data centers to deploy the full suite of Akamai’s cloud computing services. In addition, Premium plans and higher capacity Object Storage clusters are currently only available in these new data centers.
Instance Type
Shared CPUShared1 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, and low traffic web applications.
Dedicated CPUDedicated4 GB - 512 GB Memory, 2 - 64 vCPUs, 80 GB - 7200 GB Storage
Starting at $36/mo ($0.05/hour)

Equipped with Dedicated CPUs, which provide competition-free guaranteed CPU resources. Perfectly balanced for most production applications.

Best for production websites, high traffic databases, and any application that requires 100% sustained CPU usage.
PremiumDedicated4 GB - 512 GB Memory, 2 - 64 vCPUs, 80 GB - 7200 GB Storage
Starting at $43/mo ($0.06/hour)

Provides the best available AMD EPYC™ CPUs on dedicated resources. Consistent performance for CPU-intensive workloads.

Best for enterprise-grade, business-critical, and latency-sensitive applications.
High MemoryDedicated24 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.
GPUDedicated1 - 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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