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    JAX on Ubuntu 24.04 with maintenance support by PCloudhosting

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    Deployed on AWS
    AWS Free Tier
    This product has charges associated with it for seller support. JAX is a high performance numerical computing library from Google that combines NumPy like syntax with automatic differentiation (autograd) and accelerated execution on CPUs, GPUs, and TPUs.

    Overview

    JAX 0.8.2 on Ubuntu 24.04 with free maintenance support by PCloudhosting. This is a repackaged open-source software product, for which additional support charges apply./strong>. This is a nicely repackaged open-source product premium support is available if you ever need extra help (additional charges may apply).

    JAX is a fantastic open-source library from Google Research that's perfect for machine learning and high-performance numerical computing. It feels just like good old NumPy, but it packs some really powerful features under the hood:

    • Automatic differentiation (autodiff) super easy gradients for anything you write
    • Automatic vectorization (vmap) apply functions across batches without loops
    • Just-in-time (JIT) compilation with XLA get massive speedups on accelerators
    • Parallelization (pmap) spread work across multiple devices effortlessly

    Why People Are Loving JAX

    • Drop-in NumPy replacement most of your existing code just works, but now it's faster + you get free gradients
    • Zero-to-hero hardware support run the same code on CPU, GPU, or TPU with almost no changes
    • Functional style + composable transforms = clean, reusable, and blazing-fast code
    • Powers some of the biggest models out there (Gemini, Gemma, and tons of research projects)
    • Huge and growing ecosystem: Flax, Optax, Orbax, JAX-Privacy, Pallas for custom kernels, and more

    Key Highlights

    • Always up-to-date & secureBitnami watches for vulnerabilities and new releases, then automatically repackages and pushes fresh versions
    • Lightweight & efficient built on minimal base images following best practices starts fast and stays lean
    • Easy to configure rolling version tags let you pick exactly what you want and run it anywhere
    • Optimized for AWS Cloud Marketplace deploy confidently on EKS, EC2, or other AWS services with secure, ready-to-go packaging

    Whether you're just experimenting with new ideas, training huge models on GPUs/TPUs, doing serious scientific simulations, or want NumPy on serious performance steroids JAX makes high-performance computing feel surprisingly approachable and fun.

    Highlights

    • Acts as a drop-in replacement for NumPy with added performance and autodiff capabilities.
    • Runs seamlessly on CPUs, GPUs, and TPUs with minimal code changes.
    • Acts as a drop-in replacement for NumPy with added performance and autodiff capabilities.

    Details

    Delivery method

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

    Latest version

    Operating system
    Ubuntu 24.04

    Deployed on AWS
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    Pricing

    JAX on Ubuntu 24.04 with maintenance support by PCloudhosting

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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.
    If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier  for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier  for more details.

    Usage costs (21)

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    Dimension
    Cost/hour
    m4.large
    Recommended
    $0.008
    t2.micro
    $0.001
    t3.micro
    $0.008
    m3.large
    $0.008
    t2.xlarge
    $0.008
    r5.large
    $0.008
    t2.small
    $0.008
    m5.large
    $0.008
    t3.small
    $0.008
    c4.large
    $0.008

    Vendor refund policy

    No Refund

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    Legal

    Vendor terms and conditions

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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

    Packaged with latest updates as of August/2025

    Additional details

    Usage instructions

    Connect your instance via SSH, the username is ubuntu. More info on SSH: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html  - Run the following commands: #sudo su #sudo apt update #pip show jax jaxlib

    Support

    Vendor support

    Feel free to reach out anytime. Our support team is available 24x7 for assistance. Email: anant.shahi@pcloudhostings.com  Website:

    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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