Accelerated EC2 instance types such as `p5.48xlarge` and `p5en.48xlarge (often used for ML/AI workloads)` are eligible for Compute Savings Plans, but the discount rates offered are modest compared to more common instance families. When organizations rely solely on CSPs, these lower priority instances are typically the last to benefit from the plan, especially if other instance types consume most of the discounted hours.
As a result, p5 usage may fall through the cracks and be billed at full On-Demand rates despite an active CSP. This dynamic makes CSPs a potentially inefficient choice for workloads that heavily or predictably rely on these instance types. EC2 Instance Savings Plans provide better discount targeting for known usage patterns, and AWS now offers dedicated P5 and P5en Instance Savings Plans with up to 40% savings specifically for these instance types. Additionally, while Capacity Blocks offer the steepest discount, they come with operational rigidity and inflexible scheduling constraints that limit their applicability.
AWS EC2 instances can be purchased via multiple pricing models: On-Demand, Compute Savings Plans (CSPs), EC2 Instance Savings Plans, Reserved Instances, and Capacity Blocks (for specific accelerated instance types).
Compute Savings Plans apply dollar-based discounts based on discount percentage priority, with savings first applied to usage with the highest discount percentage. If multiple instances have the same discount percentage, the plan applies to usage with the lowest rate. This allocation methodology can result in accelerated instances like p5.48xlarge and p5en.48xlarge receiving lower priority if its discount percentages are less competitive than other instance types in the environment.
For accelerated instances like `p5.48xlarge` and `p5en.48xlarge`, CSPs may offer relatively low discount rates, which makes them both less cost-effective and deprioritized in CSP allocation. This can lead to uncovered spend on these expensive instances unless the total CSP commitment is large enough to cover all usage.