EC2 Hardware Accelerated Instances




We want to make it as easy as possible for you to get started using EC2 Hardware Accelerated Instances for your Machine Learning, HPC, and Graphics applications. Please complete the form to apply for up to $10,000 in free AWS Service Credits.

Overview of AWS EC2 Hardware Accelerated Instances

GEN_ec2-acc-computing-inf_200x200_Feb-2020.png
Amazon EC2 Inf1 instances are built from the ground up to support machine learning inference applications. Using Inf1 instances, customers can run large scale machine learning inference applications like image recognition, speech recognition, natural language processing, personalization, and fraud detection, at the lowest cost in the cloud.
GEN_ec2-acc-computing-p3dn_200x200_Feb-2020.png
Amazon EC2 P3 instances deliver high performance compute in the cloud with up to 8 NVIDIA® V100 Tensor Core GPUs and up to 100 Gbps of networking throughput for machine learning and HPC applications. P3 instances have been proven to reduce machine learning training times from days to minutes, as well as increase the number of simulations completed for high performance computing by 3-4x.
GEN_ec2-acc-computing-G4_200x200_Feb-2020.png
Amazon EC2 G4 instances deliver the industry’s most cost-effective and versatile GPU instance for deploying machine learning models in production and graphics-intensive applications. G4 instances are optimized for machine learning inference that use NVIDIA® libraries and also bring high performance to graphics-intensive applications, such as remote graphics workstations, video transcoding and game streaming in the cloud.
GEN_ec2-acc-computing-f1_200x200_Feb-2020.png
Amazon EC2 F1 instances use FPGAs to enable delivery of custom hardware accelerations. Example use cases include big data analytics, genomics, electronic design automation (EDA), image and video processing, compression, network security, and search.


AWS can help you build a Proof of Concept (PoC) for machine learning, high performance computing, or graphics applications for your business. Please complete the form to apply for up to $10,000 in free AWS Service Credits. A detailed use case proposal is required in the form.

Overview of AWS EC2 Hardware Accelerated Instances


EC2 Inf1
Amazon EC2 Inf1 instances are built from the ground up to support machine learning inference applications. Using Inf1 instances, customers can run large scale machine learning inference applications like image recognition, speech recognition, natural language processing, personalization, and fraud detection, at the lowest cost in the cloud.
EC2 P3DN
Amazon EC2 P3 instances deliver high performance compute in the cloud with up to 8 NVIDIA® V100 Tensor Core GPUs and up to 100 Gbps of networking throughput for machine learning and HPC applications. P3 instances have been proven to reduce machine learning training times from days to minutes, as well as increase the number of simulations completed for high performance computing by 3-4x.
EC2 G4
Amazon EC2 G4 instances deliver the industry’s most cost-effective and versatile GPU instance for deploying machine learning models in production and graphics-intensive applications. G4 instances are optimized for machine learning inference that use NVIDIA® libraries and also bring high performance to graphics-intensive applications, such as remote graphics workstations, video transcoding and game streaming in the cloud.
EC2 F1
Amazon EC2 F1 instances use FPGAs to enable delivery of custom hardware accelerations. Example use cases include big data analytics, genomics, electronic design automation (EDA), image and video processing, compression, network security, and search.