Amazon SageMaker provides a selection of instance types optimized to fit different machine learning (ML) use cases. Instance types comprise varying combinations of CPU, GPU, memory, and networking capacity and give you the flexibility to choose the appropriate mix of resources for building, training, and deploying your ML models. Each instance type includes one or more instance sizes, allowing you to scale your resources to the requirements of your target workload. 

Instance type

vCPU GPU Mem (GiB) GPU Mem (GiB)

Network Performance

Standard – Current Generation

         

ml.t2.medium

2 - 4 -   Moderate

ml.m4.xlarge

4 - 16 -   High
ml.m4.4xlarge 16 - 64 -   High
Compute Optimized – Current Generation          
ml.c4.xlarge 4 - 7.5 - High
ml.c4.2xlarge 8 - 15 - High
ml.c4.8xlarge 36 - 60 - 10 Gigabit
Accelerated Computing – Current Generation          
ml.p2.xlarge 4 1xK80 61 12 High
ml.p2.8xlarge 32 8xK80 488
96 10 Gigabit
ml.p2.16xlarge 64 16xK80 732 192 25 Gigabit
ml.p3.2xlarge 8 1xV100 61 16 Up to 10 Gigabit

Learn more about Amazon SageMaker pricing

Visit the pricing page
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