Ec2 which instance

Provide feedback for data recipe. Data Recipe PDF. Note: You will need to provide credit card information for your new account. Sign in to AWS. AWS Management Console. Select an AWS region to launch your Instance in. Select a region from the drop-down menu next to your account name in the upper right.

For this recipe, select US East N. Virginia Note: There are many factors that can be considered when selecting a region. Select an AWS region. Under Compute , click on EC2. Navigate to EC2. Launch Instance. Scroll to Ubuntu. This is a small instance type and suitable for the needs of this recipe.

The type of instance you select should be configured to your particular computing needs. AWS has a wide selection of preconfigured instance types. First, there are a large number of instances. Even within a single family of instances, there can be up to 18 different configurations. This makes it difficult to find the optimal instance type for a given workload. For example, you may have a compute-intensive application, but you may not be sure if you should use a compute-optimized instance or an accelerated instance.

If the application makes many floating point calculations and the code can take advantage of a GPU, an accelerated instance may be the best option. These characteristics are key to doing accurate comparisons between different instance types, which can help you decide which kind of instance is best for a particular workload.

Also consider technical constraints on different instances, such as which images run on particular instances; if EBS and networking can burst; and the limits of local storage. Finally, consider business policies that might be in effect that limit your options. The wide array of choices in choosing an instance type can be bewildering. Mistakes can be costly, as well as degrade performance. For small numbers of instances this can be done manually, but as environments grow, this can be very challenging.

Properly resourcing your application workload requires precise selection of EC2 instance family and sizing—choices that demand you balance performance, stability, and cost. Select Instance Limit from the Limit dropdown list. In the New limit value box, enter the limit value to request for the selected instance type.

To limit the number of EC2 instances for other instance types, click the Add another request button to add as many requests as needed and repeat step c. In the Use Case Description textbox, enter a small description where you explain the limit request so AWS support can evaluate your case. Under Contact method , select a preferred contact method that AWS support team can use to respond to your request.

These instances deliver up to one petaflop of mixed-precision performance per instance to significantly accelerate machine learning and high performance computing applications.

Amazon EC2 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 x.

Amazon EC2 G4 instances deliver a cost-effective GPU instance for deploying machine learning models in production and graphics-intensive applications. These instances deliver up to 65 TFLOPs of FP16 performance to accelerate machine learning inference applications and ray-tracing cores to accelerate graphics workloads such as graphics workstations, video transcoding, and game streaming in the cloud.

Inf1 instances are built from the ground up to support machine learning inference applications. These instances feature up to 16 Amazon Web Services Inferentia chips, high-performance machine learning inference chips designed and built by Amazon Web Services.

Using Inf1 instances, customers can run large scale machine learning inference applications such as search recommendation, computer vision, speech recognition, natural language processing, personalization, and fraud detection, at low cost in the cloud.