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    OPUS-MT EN-toES Translator - Fast CPU Translation on SageMaker

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    Deployed on AWS
    4M+ monthly downloads. 298MB English-toSpanish neural machine translation. CPU-optimized, Apache-2.0, production-ready.

    Overview

    OPUS-MT English to Spanish is a production-grade neural machine translation model from Helsinki-NLP with over 4 million monthly downloads. At 298MB it runs entirely on CPU (ml.m5.xlarge) with sub-200ms latency per sentence, making it ideal for high-volume translation pipelines without GPU cost. Trained on the OPUS parallel corpus, it delivers strong BLEU scores for general, technical, and e-commerce text. Apache-2.0 licensed - fully commercial-safe. Use it for product catalog localization, customer support translation, content internationalization, and document translation at scale.

    Highlights

    • 298MB CPU model - no GPU needed, runs on ml.m5.xlarge
    • 4M+ monthly downloads - proven in production translation pipelines
    • Apache-2.0 - fully commercial-safe for any business use

    Details

    Delivery method

    Latest version

    Deployed on AWS
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    Pricing

    OPUS-MT EN-toES Translator - Fast CPU Translation on SageMaker

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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 (2)

     Info
    Dimension
    Description
    Cost/host/hour
    ml.m5.xlarge Inference (Real-Time)
    Recommended
    Model inference on the ml.m5.xlarge instance type, real-time mode
    $0.10
    ml.m5.xlarge Inference (Batch)
    Recommended
    Model inference on the ml.m5.xlarge instance type, batch mode
    $0.10

    Vendor refund policy

    No refunds.

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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

    Initial release

    Additional details

    Inputs

    Summary

    4M+ monthly downloads. 298MB English-toSpanish neural machine translation. CPU-optimized, Apache-2.0, production-ready.

    Input MIME type
    application/json
    https://waltsoft-marketplace-assets.s3.amazonaws.com/ml-validation/translation-sample/sample.jsonl
    https://waltsoft-marketplace-assets.s3.amazonaws.com/ml-validation/translation-sample/sample.jsonl

    Support

    Vendor support

    Contact support@waltsoft.net  for 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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