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    Morph Fast Apply

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    Sold by: Morph 
    Deployed on AWS
    Free Trial
    Morph Fast Apply is the fastest most accurate way to merge AI generated code into production repositories. With semantic understanding and enterprise grade reliability it integrates seamlessly with coding agents to deliver precise production ready edits in seconds.

    Overview

    Morph Fast Apply is a purpose built tool for engineering teams that want to move beyond fragile search and replace or slow error prone full rewrites. Unlike generic approaches Morph merges AI generated code edits directly into your existing files with semantic awareness understanding structure variables and context rather than relying on brittle string matching.

    Highlights

    • Blazing fast, ~98% accurate code merges at 4,500+ tokens per second.
    • Semantic integration that preserves formatting, comments, and imports.
    • Enterprise-ready: on-prem deployment, zero data retention, SOC2-ready.

    Details

    Sold by

    Delivery method

    Latest version

    Deployed on AWS

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    Features and programs

    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
    Financing for AWS Marketplace purchases

    Pricing

    Free trial

    Try this product free for 7 days according to the free trial terms set by the vendor.

    Morph Fast Apply

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    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 (55)

     Info
    Dimension
    Description
    Cost/host/hour
    ml.g5.xlarge Inference (Batch)
    Recommended
    Model inference on the ml.g5.xlarge instance type, batch mode
    $9.60
    ml.p5en.48xlarge Inference (Real-Time)
    Recommended
    Model inference on the ml.p5en.48xlarge instance type, real-time mode
    $9.60
    ml.g4dn.xlarge Inference (Batch)
    Model inference on the ml.g4dn.xlarge instance type, batch mode
    $9.60
    ml.g4dn.2xlarge Inference (Batch)
    Model inference on the ml.g4dn.2xlarge instance type, batch mode
    $9.60
    ml.g4dn.4xlarge Inference (Batch)
    Model inference on the ml.g4dn.4xlarge instance type, batch mode
    $9.60
    ml.g4dn.8xlarge Inference (Batch)
    Model inference on the ml.g4dn.8xlarge instance type, batch mode
    $9.60
    ml.g4dn.12xlarge Inference (Batch)
    Model inference on the ml.g4dn.12xlarge instance type, batch mode
    $9.60
    ml.g4dn.16xlarge Inference (Batch)
    Model inference on the ml.g4dn.16xlarge instance type, batch mode
    $9.60
    ml.g5.2xlarge Inference (Batch)
    Model inference on the ml.g5.2xlarge instance type, batch mode
    $9.60
    ml.g5.4xlarge Inference (Batch)
    Model inference on the ml.g5.4xlarge instance type, batch mode
    $9.60

    Vendor refund policy

    30 days

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    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

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    Usage information

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    Delivery details

    Amazon SageMaker model

    An Amazon SageMaker model package is a pre-trained machine learning model ready to use without additional training. Use the model package to create a model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.

    Deploy the model on Amazon SageMaker AI using the following options:
    Deploy the model as an API endpoint for your applications. When you send data to the endpoint, SageMaker processes it and returns results by API response. The endpoint runs continuously until you delete it. You're billed for software and SageMaker infrastructure costs while the endpoint runs. AWS Marketplace models don't support Amazon SageMaker Asynchronous Inference. For more information, see Deploy models for real-time inference  .
    Deploy the model to process batches of data stored in Amazon Simple Storage Service (Amazon S3). SageMaker runs the job, processes your data, and returns results to Amazon S3. When complete, SageMaker stops the model. You're billed for software and SageMaker infrastructure costs only during the batch job. Duration depends on your model, instance type, and dataset size. AWS Marketplace models don't support Amazon SageMaker Asynchronous Inference. For more information, see Batch transform for inference with Amazon SageMaker AI  .
    Version release notes

    First version of morph fast apply.

    Additional details

    Inputs

    Summary
    content: `<instruction>${instructions}</instruction>\n<code>${initialCode}</code>\n<update>${codeEdit}</update>`,

    https://docs.morphllm.com/quickstart 

    Input MIME type
    application/json
    https://docs.morphllm.com/quickstart
    https://docs.morphllm.com/quickstart

    Input data descriptions

    The following table describes supported input data fields for real-time inference and batch transform.

    Field name
    Description
    Constraints
    Required
    original code
    original code
    -
    No
    update snippet
    update snippet
    -
    No

    Resources

    Vendor resources

    Support

    Vendor support

    Email: support@morphllm.com 

    Support URL: https://docs.morphllm.com 

    Support coverage: Customers receive 24/7 email support and access to extensive product documentation. Enterprise clients can opt into dedicated support SLAs, including live troubleshooting and deployment assistance.

    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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