Listing Thumbnail

    NVIDIA cuQuantum Appliance AMI

     Info
    Sold by: NVIDIA 
    The NVIDIA cuQuantum Appliance is a highly performant multi-GPU multi-node solution for quantum circuit simulation.
    Listing Thumbnail

    NVIDIA cuQuantum Appliance AMI

     Info
    Sold by: NVIDIA 

    Overview

    The NVIDIA cuQuantum Appliance is a highly performant multi-GPU multi-node solution for quantum circuit simulation. It contains NVIDIA cuStateVec and cuTensorNet libraries which optimize state vector and tensor network simulation, respectively. The cuTensorNet library functionality is accessible through Python for Tensor Network operations. With the cuStateVec libraries, NVIDIA provides the following simulators:

    • IBM Qiskit Aer frontend via cusvaer, NVIDIA distributed state vector backend solver.
    • Multi-GPU-optimized Google Cirq frontend via qsim, Google state vector simulator.

    NVIDIA cuQuantum Appliance VMI includes:

    • Ubuntu Server 20.04
    • NVIDIA Driver
    • NVIDIA cuQuantum Appliance Docker Container
    • Docker-ce
    • NVIDIA Container Toolkit
    • AWS CLI, NGC CLI
    • Miniconda, JupyterLab (within conda base env), Git

    Highlights

    • Provides quantum computing researchers and developers with an integrated quantum circuit simulation stack based on NVIDIA cuQuantum, containing Cirq and Qiskit.
    • This Qiskit Aer integration with cuQuantum supports a highly performant multi-node capability which is able to make the most of the hardware interconnects available to you.
    • The Cirq qsim integration supports cuQuantum and diagonal gate fusion for multi-gpu operations resulting in significant speedups for single node jobs.

    Details

    Sold by

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Ubuntu 20.04

    Typical total price

    This estimate is based on use of the seller's recommended configuration (p4d.24xlarge) in the US East (N. Virginia) Region. View pricing details

    $32.773/hour

    Pricing

    NVIDIA cuQuantum Appliance AMI

     Info
    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (20)

     Info
    Instance type
    Product cost/hour
    EC2 cost/hour
    Total/hour
    p3.2xlarge
    $0.00
    $3.06
    $3.06
    p3.8xlarge
    $0.00
    $12.24
    $12.24
    p3.16xlarge
    $0.00
    $24.48
    $24.48
    p3dn.24xlarge
    $0.00
    $31.212
    $31.212
    p4d.24xlarge
    Recommended
    $0.00
    $32.773
    $32.773
    g4dn.xlarge
    $0.00
    $0.526
    $0.526
    g4dn.2xlarge
    $0.00
    $0.752
    $0.752
    g4dn.4xlarge
    $0.00
    $1.204
    $1.204
    g4dn.8xlarge
    $0.00
    $2.176
    $2.176
    g4dn.12xlarge
    $0.00
    $3.912
    $3.912

    Additional AWS infrastructure costs

    Type
    Cost
    EBS General Purpose SSD (gp3) volumes
    $0.08/per GB/month of provisioned storage

    Vendor refund policy

    This AMI is provided free of charge

    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

     Info

    Delivery details

    64-bit (x86) Amazon Machine Image (AMI)

    Amazon Machine Image (AMI)

    An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.

    Version release notes

    Ubuntu 20.04, NVIDIA Driver 525.105.17, Docker-ce, NVIDIA Docker Toolkit, cuStateVec v1.2.0 cuTensorNet v2.0.0 cuQuantum Python v22.11.0 cuQuantum Appliance 22.11

    Additional details

    Usage instructions

    Continue to Subscribe and launch the AMI on EC2 GPU instance following the prompts. Once the instance is launched, SSH into the instance. NVIDIA dependencies are preinstalled within the image. To run cuQuantum docker container execute the following command:

    docker run --gpus all -it --rm nvcr.io/nvidia/cuquantum-appliance:

    Sample python scripts are available at /workspace/examples within the docker container. Execute any one of the sample codes as follows:

    python /workspace/examples/ghz.py --nqubits 30 --nsamples 1000 --ngpus 1

    For more information please refer cuQuantum on NGC: https://catalog.ngc.nvidia.com/orgs/nvidia/containers/cuquantum-appliance 

    Support

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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