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MIAMI – Amazon Web Services (AWS) has announced a price reduction of up to 45 percent on Amazon Elastic Compute cloud (Amazon EC2) NVIDIA GPU-accelerated instances, specifically the P4 (P4d and P4de) and P5 (P5 and P5en) instance types. This price cut applies to On-Demand and Savings Plan pricing in all Regions where these instances are available.
the price reduction for On-Demand purchases began on June 1, while the Savings Plan purchases reflect the changes effective after June 4. This move aims to make GPU resources more accessible amid growing demand for generative AI capabilities.According to AWS, customers across industries are increasingly leveraging generative AI to enhance employee productivity, improve customer experiences, and streamline business processes. Tho, the demand for GPU capacity has outstripped supply, leading to scarcity and higher costs.
To address this, AWS is passing on cost savings to its customers through price reductions. “Regular price reductions on AWS services have been a standard way for AWS to pass on the economic efficiencies gained from our scale back to our customers,” the company stated.
Here’s a breakdown of the price reductions by instance type and pricing plan:
| Instance type | NVIDIA GPUs | On-Demand | EC2 Instance Savings Plans | Compute Savings Plans |
||
| 1 year | 3 years | 1 year | 3 years | |||
| P4d | A100 | 33% | 31% | 25% | 31% | – |
| P4de | A100 | 33% | 31% | 25% | 31% | – |
| P5 | H100 | 44% | – | 45% | 44% | 25% |
| P5en | H200 | 25% | – | 26% | 25% | – |
Understanding AWS Savings Plans
AWS offers Savings Plans as a flexible pricing model, providing lower compute usage costs in exchange for a commitment to a consistent amount of usage (measured in $/hour) for a 1- or 3-year term. There are two types of savings plans:
- EC2 Instance Savings Plans: These plans offer the most significant savings in exchange for committing to usage of individual instance families in a Region (e.g., P5 usage in the US (N. Virginia) Region).
- Compute Savings Plans: These plans provide the greatest flexibility,reducing costs regardless of instance family,size,Availability Zones,and Regions (e.g., shifting a workload between US Regions from P4d to P5en instances).
Expanded Availability
to enhance accessibility to reduced pricing,AWS is making at-scale On-Demand capacity available for:
- P4d instances in the Asia Pacific (Seoul),Asia Pacific (Sydney),Canada (Central),and Europe (London) Regions
- P4de instances in the US East (N. Virginia) Region
- P5 instances in the Asia Pacific (Mumbai), Asia Pacific (Tokyo), Asia Pacific (Jakarta), and South america (São Paulo) Regions
- P5en instances in the Asia Pacific (Mumbai), Asia Pacific (Tokyo), and Asia Pacific (Jakarta) Regions
Generative AI on AWS: An explainer
Generative AI on AWS refers to the suite of services and infrastructure provided by Amazon Web Services to support the progress, deployment, and scaling of generative artificial intelligence models. Generative AI models are a type of machine learning model capable of generating new, original content, such as text, images, audio, and video. These models differ from traditional AI models that primarily focus on tasks like classification or prediction. AWS offers various tools and services, including powerful computing instances, pre-trained models, and development platforms, to enable businesses and researchers to harness the potential of generative AI for a wide range of applications, from content creation to data augmentation and beyond.
Key components of Generative AI on AWS include:
- Amazon EC2: Provides the necessary computing power with GPU-accelerated instances optimized for training and inference of AI models.
- AWS SageMaker: A fully managed machine learning service that helps data scientists and developers build, train, and deploy machine learning models quickly.
- AWS AI Services: Offers pre-trained AI models for common tasks like image recognition,natural language processing,and speech recognition.
AWS is also delivering Amazon EC2 P6-B200 instances through Savings Plan to support large-scale deployments. these instances, powered by NVIDIA Blackwell GPUs, became available on May 15, 2025, initially through EC2 Capacity Blocks for ML. The P6-B200 instances are designed to accelerate GPU-enabled workloads,particularly large-scale distributed AI training and inferencing.
“These pricing updates reflect the commitment to making advanced GPU computing more accessible while passing cost savings directly to customers,” AWS said.
Customers can explore amazon EC2 NVIDIA GPU-accelerated instances via the Amazon EC2 console. Additional details on the pricing updates are available on the Amazon EC2 Pricing page. Feedback can be submitted through AWS re:Post for EC2 or via AWS Support contacts.
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