Amazon Braket Pricing

With Amazon Braket, you have a choice of quantum circuit simulators to run and test quantum algorithms, including the free local simulator in the Amazon Braket SDK, and three fully managed on-demand simulators: State Vector 1 (SV1), Density Matrix 1 (DM1), and Tensor Network 1 (TN1). SV1 is a general purpose quantum circuit simulator, DM1 enables you to simulate the effect of noise on your circuits, and TN1 specializes in larger scale simulations for certain types of quantum circuits. All on-demand simulators automatically scale AWS computing resources to deliver high-performance execution of your quantum algorithms. The cost of using the Amazon Braket on-demand simulators is based on the duration of each simulation task. When you use on-demand simulators, you are billed at a per-minute rate, in increments of one millisecond, for the time your simulation takes to run, with a minimum billing duration of 3 seconds per simulation.

Note that on-demand simulators SV1, and DM1, are only available in US East (N. Virginia), US West (N. California), US West (Oregon), and Europe (London). TN1 is only available in US East (N. Virginia), US West (Oregon), and Europe (London).

With Amazon Braket Hybrid Jobs, you have the additional flexibility to use embedded simulators, designed with high performance and ultra-low latency in mind. These simulators can be embedded within the same jobs container as your application code. Today, Amazon Braket Hybrid Jobs supports embedded simulators from PennyLane or the option to embed your own circuit simulator as a container using our bring-your-own-container feature. Since embedded simulators run on the same hybrid jobs instance as your application code, your use of embedded simulators could impact the duration of your use of a hybrid jobs instance. The cost for using embedded simulators forms part of your overall bill for using the hybrid jobs instance and is not charged for separately. For more details on the pricing for hybrid jobs instances, refer to the Amazon Braket Hybrid Jobs Pricing Page. 

The cost of using the Amazon Braket on-demand and embedded simulators is based on the duration of each simulation task. You are billed at a per-minute rate, in increments of one millisecond, for the time your simulation takes to run. When you use on-demand simulators, you are billed for a minimum of 3 seconds per simulation.

Embedded simulators are only available with Amazon Braket Hybrid Jobs. For more details on the pricing for embedded simulators, refer to the Amazon Braket Hybrid Jobs Pricing Page. 

Amazon Braket Hybrid Jobs supports high-performance embedded simulators from PennyLane, such as the lightning.qubit and lightning.gpu simulator, and using NVIDIA’s CUDA-Q framework. These simulators are embedded directly in the same container as your application code, and support advanced features such as the adjoint method to reduce the number of circuit evaluations required when computing gradients. When running hybrid jobs, you can use our example notebooks or write your algorithms using the Braket SDK, CUDA-Q, or PennyLane. You can also use your own custom software stack for your algorithm with a ‘bring-your-own-container’ capability.

You can submit a Hybrid Job on a quantum computer on-demand or as part of a reservation. Below charges only apply to on-demand execution of Hybrid Jobs. For jobs submitted during a reservation, there are no additional charges outside of the hourly reservation rates – see pricing under the Braket Direct tab to learn more. There are two components to pricing for the Hybrid Jobs feature: charges for the use of classical resources, and charges for the use of quantum computers or quantum simulators. The Hybrid Jobs feature uses the ml.m5.xlarge instance as the default instance type, or you can choose a different instance type when creating a job. You also have the option to add extra data storage within the job instance at an additional cost. For pricing of these instances and supplementary instance storage, please refer to the "Job Instances" pricing table below. If you are using one of the on-demand simulators (SV1, DM1, TN1) or a quantum computer available on Amazon Braket for a portion of your Hybrid Job, then you will be charged for the execution of quantum tasks that are created as part of your job. Pricing for these tasks is the same whether they are run as part of a Hybrid Job or not. Please refer to the “Quantum Computers” and “Simulators” tabs to learn more about pricing for quantum tasks on the different devices. If you are using an embedded simulator, then you only pay for the classical CPU or GPU resources you use for the duration of the job, based on the pricing table below.
 

Braket Direct is an Amazon Braket program: Skip the wait and directly leverage dedicated device access using reservations, expert advice, and experimental capabilities – all in one place. The cost of dedicated device access is based on the duration of your reservation, regardless of how many quantum tasks and hybrid jobs you execute on the QPU. You can make reservations in 1-hour increments. Reservations can be canceled up to 48 hours in advance, at no charge.

Expert advice offerings are billed separately from Braket – please review each offering’s pricing information by navigating to Braket Direct in the AWS Management Console.

Experimental capabilities are currently available on a per-request basis – contact us by navigating to Braket Direct in the AWS Management Console to learn more.
 

Amazon Braket provides fully managed Jupyter notebooks so you can build your quantum algorithms, share code, test your algorithm, and visualize your results. When you create a notebook in Amazon Braket, it will be hosted and billed by Amazon SageMaker, the AWS machine learning service. With Amazon Braket managed notebooks, you can choose your preferred instance type to run each notebook and you will be billed per hour for usage, according to pricing for the selected instance type. For usage under one hour, cost is prorated based on the hourly price. The cost of using each notebook will be listed in the Amazon SageMaker portion of your bill.

For details on the pricing of different notebook instance types, refer to the Amazon SageMaker pricing page. Select the On-Demand Notebook Instance tab, select the relevant region, and refer to the instance type that you plan to use.