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
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
Pricing
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
How can we make this page better?
Legal
Vendor terms and conditions
Content disclaimer
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.