Amazon SageMaker Price Reductions – Up to 18% for ml.P3 and ml.P2 instances
Today we are announcing a price reduction of up to 18% on all ml.p3 and ml.p2 instances in Amazon SageMaker, making them an even more cost-effective solution to meet your machine learning needs. The new price reductions will be effective Oct 1st 2020 and will apply to ml.p3 and ml.p2 instances for SageMaker Studio Notebooks, On-Demand Notebooks, Processing, Training, Real-Time Inference, and Batch Transform.
Today we are announcing a price reduction of up to 18% on all ml.p3 and ml.p2 instances in Amazon SageMaker, making them an even more cost-effective solution to meet your machine learning needs. The new price reductions will be effective Oct 1st 2020 and will apply to ml.p3 and ml.p2 instances for SageMaker Studio Notebooks, On-Demand Notebooks, Processing, Training, Real-Time Inference, and Batch Transform.
Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. SageMaker removes the heavy lifting from each step of the machine learning process to make it easier to develop high quality models. With these price reductions, customers can optimize their ML budgets and further reduce their costs to build machine learning and deep learning applications using accelerated compute instances.
The price reductions for the specific instance types are as follows:
Instance Type Price Reduction
ml.p2.xlarge 11%
ml.p2.8xlarge 14%
ml.p2.16xlarge 18%
ml.p3.2xlarge 11%
ml.p3.8xlarge 14%
ml.p3.16xlarge 18%
m.p3dn.24xlarge 18%
The ml.p2 instances are general-purpose GPU compute applications suited for machine learning. The ml.p3 instances are optimized for distributed machine learning and can significantly accelerate machine learning and deep learning applications to reduce training and processing times, from days to minutes. The ml.p3 instances offer up to 8 of the most powerful GPU's available in the cloud with up to 64 vCPUs, 488 GB of RAM and 25 Gbps networking throughput. The ml.p3dn.24xlarge instances provide up to 100 Gbps of networking throughput, significantly improving the throughput and scalability of deep learning training models, which leads to faster results.
The price reductions are available in the following AWS regions: US East (N. Virginia), US East (Ohio), US West (Oregon), EU (Ireland), EU (Frankfurt), EU (London), Canada (Central), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Seoul), Asia Pacific (Tokyo), Asia Pacific (Mumbai), and AWS GovCloud (US-Gov-West).
Visit the Amazon SageMaker product pages for more information and the pricing pages for the latest pricing information.