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    Hugging Face NLP Stack Pre-configured by Miri Infotech Inc. on Ubuntu

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    Deployed on AWS
    AWS Free Tier
    The Hugging Face NLP Stack Pre-Configured AMI by Miri Infotech and is a ready-to-deploy AWS machine image that provides an instant, production-ready environment for natural language processing (NLP). Pre-loaded with Hugging Face Transformers, JupyterLab, PyTorch/TensorFlow, and popular models (BERT, GPT, T5), this AMI eliminates setup hassles just launch and start coding. Optimized for AWS GPU instances (p3/p4/g4/g5), it includes pre-downloaded weights, example notebooks, and secure IAM-based access, letting you prototype, fine-tune, and deploy NLP models in minutes. Ideal for researchers, developers, and startups, it is the fastest way to go from zero to AI.

    Overview

    The Hugging Face NLP Stack Pre-Configured AMI is a turnkey solution designed to accelerate AI development by providing a fully optimized, no-setup environment for natural language processing. Built on Ubuntu 24.04, this AWS machine image comes pre-installed with the Hugging Face ecosystem (Transformers, Datasets, Tokenizers, and Evaluate), PyTorch 2.0 with GPU support, and popular pre-trained models (including GPT-4, BERT-large, and T5). With JupyterLab pre-configured and secured via EC2 instance credentials, users can start prototyping within minutes of launch no dependency management or manual model downloads required. The AMI is fine-tuned for AWS GPU instances (p3/p4/g4/g5) with CUDA 12 and cuDNN, ensuring maximum performance for training and inference.

    Designed for both beginners and experts, the AMI includes curated tutorials for common NLP tasks (text generation, sentiment analysis, and fine-tuning) and supports seamless scaling from experimentation to production. Security features like IAM-based authentication, VPC isolation, and encrypted model caching make it enterprise-ready, while pre-loaded tools like TensorBoard and Weights & Biases integration streamline model monitoring. Whether you are a researcher testing novel architectures, a developer building AI-powered apps, or a startup iterating on NLP products, this AMI cuts infrastructure overhead by 90%, letting you focus on innovation. Just launch, log in, and build your AI workspace is ready.

    Highlights

    • 1-click AWS AMI with Hugging Face Transformers, Jupyter, and pre-loaded models (BERT/GPT/T5) - deploy NLP projects in minutes.
    • Pre-configured GPU-optimized NLP environment - just launch and start coding with Hugging Face.
    • Instant Hugging Face workspace: Jupyter + Transformers + popular models, ready on AWS in 5 minutes.

    Details

    Delivery method

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

    Latest version

    Operating system
    Ubuntu 24.04 LTS

    Deployed on AWS

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    Pricing

    Hugging Face NLP Stack Pre-configured by Miri Infotech Inc. on Ubuntu

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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 (40)

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    Dimension
    Cost/hour
    g4dn.xlarge
    Recommended
    $0.05
    t2.micro
    AWS Free Tier
    $0.05
    m4.2xlarge
    $0.05
    t3.large
    $0.05
    m4.xlarge
    $0.05
    t2.large
    $0.05
    m4.10xlarge
    $0.05
    m5zn.large
    $0.05
    m5d.large
    $0.05
    m5.xlarge
    $0.05

    Vendor refund policy

    No Refund Policy

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    Usage information

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    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

    First Release

    Support

    Vendor support

    All your queries are important to us. Please feel free to connect. 24X7 support provided for all the customers. We are happy to help you. https://miritech.com/contact-us/  (510) 298-5936 Mailto: contact@miritech.com 

    AWS infrastructure support

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