Sold by: ParaTools Inc.
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This product has charges associated with it for optional seller support and pre-configured stack (ParaTools Pro for E4S™). ParaTools Pro for E4S™ is the hardened Extreme-scale Scientific Software Stack on Rocky Linux, for use with Adaptive Computing's Heidi AI Cloud Supercomputer. It includes over 100 HPC and AI/ML tools, a VNC-based remote desktop environment, and cluster configuration built using the Spack package manager and a proprietary MVAPICH-Plus 4 MPI tuned for AWS Elastic Fabric Adapter (EFA). Develop AI/ML applications using tools such as JAX, Keras, NVIDIA BioNeMo, NVIDIA NeMo™, PyTorch, TensorFlow, and vLLM tuned for AWS and Heidi, along with Julia. The HPC stack features numerical libraries (PETSc, SuperLU-dist, Trilinos, WRF), visualization tools (ParaView, VisIt), performance evaluation tools (HPCToolkit, TAU), and HPC applications (CP2K, deal.II, GROMACS, LAMMPS, OpenFOAM, Quantum Espresso, WarpX, Xyce). Default SSH user on this image is `rocky`.
Overview
ParaTools Pro for E4S™ - the Extreme-scale Scientific Software Stack, E4S™ hardened for commercial clouds and supported by ParaTools, Inc., provides a platform for developing and deploying HPC and AI/ML applications. This product is the Rocky Linux variant of the unified Heidi image; an Ubuntu variant is available as a separate marketplace listing. It is designed for use with Adaptive Computing's Heidi AI Cloud Supercomputer , which provides multi-cloud HPC orchestration with automated infrastructure deployment, scaling, and cluster monitoring. A single unified image auto-detects its cluster role (head node / compute node) at boot time; the image is also usable standalone as a development environment. When run on EFA-capable instance families, cluster nodes are interconnected by a low-latency, high-bandwidth fabric based on AWS Elastic Fabric Adapter (EFA), fully leveraged by MVAPICH-Plus -- a proprietary MVAPICH derivative from our partners at X-Scale Solutions. A VNC-based remote desktop is available for interactive GUI work. Default SSH user on this image is rocky. ParaTools Pro for E4S™ features a suite of over 100 HPC tools built using the Spack package manager and the MVAPICH-Plus MPI library tuned for EFA and CUDA. HPC applications include CP2K, deal.II, GROMACS, LAMMPS, OpenFOAM, Quantum Espresso, WarpX, Weather Research and Forecasting Model-WRF, and Xyce; the AI/ML Python stack includes Hugging Face Transformers, JAX, JupyterLab, Keras, matplotlib, NVIDIA BioNeMo, NVIDIA NeMo™, OpenCV, PyTorch, TensorFlow, and vLLM. Julia and the VSCodium IDE are pre-installed. New packages can be easily added using Spack and pip and are accessible across cluster nodes. It may be used for developing the next generation of generative AI applications using a suite of Python tools and interfaces.
E4S™ has built a unified computing environment for deployment of open-source projects. E4S™ was originally developed to provide a common software environment for the exascale leadership computing systems currently being deployed at DOE National Laboratories across the U.S. Support for ParaTools Pro for E4S™ is available through ParaTools, Inc. This product has additional charges associated with it for optional product support and updates.
This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research (ASCR), under SBIR Award Number DE-SC0022502 ("E4S: Extreme-Scale Scientific Software Stack for Commercial Clouds").
Note: This product contains repackaged and tuned open source software (e.g., E4S™, Spack, and AI/ML tools like NVIDIA NeMo™, BioNeMo, TensorFlow, JAX, vLLM, etc.) which is configured and linked against an MVAPICH MPI implementation specifically developed and tuned for EFA.
The full list of E4S applications installed via Spack is as follows:
- adios
- adios2
- alquimia
- aml
- amrex
- arborx
- argobots
- ascent
- axom
- boost
- bricks
- butterflypack
- cabana
- caliper
- chai
- chapel
- charliecloud
- conduit
- cp2k
- cusz
- darshan-runtime
- darshan-util
- datatransferkit
- dealii
- dyninst
- e4s-alc
- e4s-cl
- exago
- faodel
- fftx
- flecsi
- flit
- fpm
- gasnet
- ginkgo
- globalarrays
- glvis
- gmp
- gotcha
- gptune
- gromacs
- h5bench
- hdf5
- hdf5-vol-async
- hdf5-vol-cache
- hdf5-vol-log
- heffte
- hpctoolkit
- hpx
- hypre
- kokkos
- kokkos-kernels
- laghos
- lammps
- lbann
- legion
- libcatalyst
- libceed
- libnrm
- libquo
- libunwind
- loki
- magma
- metall
- mfem
- mgard
- mpark-variant
- mpifileutils
- nccmp
- nco
- nek5000
- nekbone
- netcdf-fortran
- netlib-lapack
- netlib-scalapack
- nrm
- omega-h
- openfoam
- openmpi
- openpmd-api
- papi
- papyrus
- parallel-netcdf
- parsec
- pdt
- petsc
- phist
- plasma
- plumed
- precice
- pruners-ninja
- pumi
- py-cinemasci
- py-h5py
- py-libensemble
- py-petsc4py
- qthreads
- quantum-espresso
- raja
- rempi
- scr
- slate
- slepc
- stc
- strumpack
- sundials
- superlu
- superlu-dist
- swig
- sz
- sz3
- tasmanian
- tau
- trilinos
- turbine
- umap
- umpire
- unifyfs
- upcxx
- variorum
- veloc
- vtk-m
- wannier90
- warpx
- wps
- wrf
- xyce
- zfp
Highlights
- ParaTools Pro for E4S™ and Machine Learning stacks, including NVIDIA NeMo™, built and optimized for AWS EFA and Heidi
- A proprietary MVAPICH-Plus 4 MPI implementation that offers lower latency and higher throughput than default OpenMPI implementations for pre-installed applications and user-installed applications
- Over 100 HPC and AI applications managed via the Spack package manager, with VNC remote desktop for interactive computing
Details
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Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
OtherLinux Rocky Linux 9
Deployed on AWS
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Dimension | Cost/hour |
|---|---|
c5n.9xlarge Recommended | $0.99 |
t3.micro | $0.99 |
inf1.24xlarge | $0.99 |
d3en.6xlarge | $0.99 |
c6id.xlarge | $0.99 |
m5zn.2xlarge | $0.99 |
x2iezn.metal | $0.99 |
c5n.2xlarge | $0.99 |
g5.xlarge | $0.99 |
c7a.32xlarge | $0.99 |
Dimensions summary
You pay by the hour for the EC2 instance type you run this software on. Each dimension maps to a specific instance size, so pricing scales with the compute you choose. Smaller instances like t3.nano carry the lowest hourly rate, while metal and multi-GPU instances such as p5.48xlarge cost more per hour. There are no tiers or commitments. You select the instance that fits your HPC or AI/ML workload, and the hourly software charge applies alongside standard AWS infrastructure fees for that instance.
Top-of-mind questions for buyers
The hourly rate pays for the ParaTools Pro for E4S™ software running on your chosen EC2 instance. It includes over 100 HPC tools, a VNC remote desktop, MVAPICH MPI, and AI/ML Python tools. Standard AWS infrastructure fees for that instance are billed separately by AWS.
The hourly software charge meters running time. Stopped or paused instances do not accrue the software fee. You may still incur AWS storage fees for attached volumes while an instance is stopped, but those are separate AWS infrastructure charges, not the software licence.
Each running instance carries the hourly software charge for its instance type. In a cluster, the head node and each compute node bill separately based on the instance you assign. A small head node like t3.large and larger EFA-capable compute nodes each accrue their own rate.
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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
- Adaptive Heidi release: v2.0
- E4S release: 25.11
- Default MPI: MVAPICH-4 Plus
- OS: Rocky Linux 9
*** SECURITY UPDATE *** Applies a z-patch upgrading Samba (samba-client-libs, samba-common, samba-common-libs) to remediate CVE-2026-4480, CVE-2026-4408, and CVE-2026-3012. This is the only change from the prior version v17770638-heidi-v2.0-unified-e4s-25.11-rocky-amd64.
*** UNIFIED IMAGE NOTICE *** Single unified image serves both Heidi Server (head node) and Heidi Node (compute node) roles. Image auto-detects role at boot when deployed with Adaptive Computing's Heidi AI Cloud Supercomputer. Also usable standalone as a development environment.
*** OS CHANGE NOTICE *** This release transitions the x86_64 image from Ubuntu 24.04 to Rocky Linux 9. Default SSH user is now rocky (previously ubuntu).
*** OS VARIANT NOTICE *** Rocky Linux 9 x86_64 variant. For the Ubuntu 24.04 x86_64 variant, see: https://aws.amazon.com/marketplace/pp/prodview-6stnexp5vhhj4
IMPORTANT:
- Usable standalone as a development environment or shared-memory system. Multi-node TORQUE-scheduled jobs and cluster orchestration activate when deployed with Adaptive Computing's Heidi AI Cloud Supercomputer.
- MVAPICH-4 Plus provides optimized multi-node support without strictly requiring EFA-enabled instances; EFA is still recommended for best performance.
- Default user on this image is rocky.
Updates in this version: Platform:
- Rocky Linux 9 (new OS variant; Ubuntu variant available as a separate marketplace product -- see OS VARIANT NOTICE above)
- E4S 25.11 scientific software stack
- MVAPICH-4 Plus -- MPI library tuned for AWS EFA and CUDA (MVAPICH 4.1 core, Hydra 4.3.1 process manager)
- CUDA 11.7, 12.8, 12.9; gcc 13.3.1 (gcc-toolset-13)
- Julia 1.12.4
- ParaView 6.0.1, VisIt (visualization)
- TurboVNC 3.0.3 + noVNC 1.4.0 (VNC-based web remote desktop)
AI/ML stack (system Python env, /opt/python/pkgs/python-3.12.12):
- PyTorch 2.10.0 (CUDA 12.9) + torchvision 0.25.0
- TensorFlow 2.20.0
- Keras 3.14.0
- JAX 0.10.0
- vLLM 0.19.0
- OpenCV 4.13.0
- Hugging Face Transformers 4.57.6, HF Hub 0.36.2
- Triton 3.6.0, mpi4py 4.1.1
- Gradio, LangChain, OpenAI SDK
- Ollama 0.21.0 (local LLM inference)
- JupyterLab + Notebook, Marimo
- NumPy, SciPy, Pandas, Matplotlib, Seaborn, Plotly, GeoPandas
NeMo / BioNeMo stack (segregated venv, activate via . /usr/local/py-env/nemo/bin/activate):
- NVIDIA NeMo Toolkit 2.5.3
- NVIDIA BioNeMo suite (core 2.4.5, fw 2.7.1, ESM-2, Evo2, AMPLIFY, Geneformer, MoCo, scDL)
- PyTorch 2.9.1 (CUDA 12.9)
- Megatron-Core 0.14 + Megatron-Bridge, Megatron-FSDP, Megatron-Energon
- Flash-Attention 2.7.4
- PyTorch Lightning 2.4.0, Accelerate 1.13.0
- Diffusers 0.37.1, PEFT 0.18.1
Containers:
- Docker 29.4.0, Podman 5.6.0, Singularity-CE 4.4.1
IDE:
- VS Codium
Packages installed via Spack:
- adios@1.13.1
- adios2@2.10.2
- alquimia@1.1.0
- aml@0.2.1
- amrex@25.10
- arborx@1.5
- arborx@2.0.1
- argobots@1.2
- ascent@0.9.5
- axom@0.10.1
- boost@1.88.0
- bricks@2023.08.25
- butterflypack@3.2.0
- cabana@0.7.0
- caliper@2.12.1
- chai@2025.03.0
- chapel@2.6.0
- charliecloud@0.40
- conduit@0.9.5
- cp2k@2025.2
- cusz@0.14.0
- darshan-runtime@3.4.7
- darshan-util@3.4.7
- datatransferkit@3.1.1
- dealii@9.7.1
- dyninst@13.0.0
- e4s-alc@1.0.3
- e4s-cl@1.0.5
- exago@1.6.0
- faodel@1.2108.1
- fftx@1.2.0
- flecsi@2.4.1
- flit@2.1.0
- fpm@0.10.0
- gasnet@2025.8.0
- ginkgo@1.10.0
- globalarrays@5.8.2
- glvis@4.4
- gmp@6.3.0
- gotcha@1.0.8
- gptune@4.0.0
- gromacs@2025.3
- h5bench@1.4
- hdf5@1.14.6
- hdf5-vol-async@1.7
- hdf5-vol-cache@v1.1
- hdf5-vol-log@1.4.0
- heffte@2.4.1
- hpctoolkit@2025.0.1
- hpx@1.11.0
- hypre@2.33.0
- kokkos@4.7.01
- kokkos-kernels@4.7.01
- laghos@3.1
- lammps@20250722
- lbann@0.104
- legion@25.03.0
- libcatalyst@2.0.0
- libceed@0.12.0
- libnrm@0.1.0
- libquo@1.4
- libunwind@1.8.3
- loki@0.1.7
- magma@2.9.0
- metall@0.30
- mfem@4.8.0
- mgard@compat-2023-12-09
- mpark-variant@1.4.0
- mpifileutils@0.12
- nccmp@1.9.1.0
- nco@5.3.4
- nek5000@19.0
- nekbone@17.0
- netcdf-fortran@4.6.2
- netlib-lapack@3.12.1
- netlib-scalapack@2.2.2
- nrm@0.1.0
- omega-h@10.8.6-scorec
- openfoam@2412
- openmpi@5.0.8
- openpmd-api@0.16.1
- papi@7.2.0
- papyrus@1.0.2
- parallel-netcdf@1.14.1
- parsec@4.0.2411
- pdt@3.25.2
- petsc@3.24.0
- phist@1.12.1
- plasma@24.8.7
- plumed@2.9.2
- precice@3.3.0
- pruners-ninja@1.0.1
- pumi@2.2.9
- py-cinemasci@1.7.0
- py-h5py@3.14.0
- py-libensemble@1.5.0
- py-petsc4py@3.24.0
- qthreads@1.18
- quantum-espresso@7.5
- raja@2025.03.0
- rempi@1.1.0
- scr@3.1.0
- slate@2025.05.28
- slepc@3.24.0
- stc@0.9.0
- strumpack@8.0.0
- sundials@7.5.0
- superlu@7.0.0
- superlu-dist@9.1.0
- swig@4.0.2-fortran
- sz@2.1.12.5
- sz3@3.2.0
- tasmanian@8.1
- tau@2.35.1
- trilinos@16.1.0
- turbine@1.3.0
- umap@2.1.1
- umpire@2025.03.0
- unifyfs@2.0
- upcxx@2023.9.0
- variorum@0.8.0
- veloc@1.7
- vtk-m@2.3.0
- wannier90@3.1.0
- warpx@25.04
- wps@4.5
- wrf@4.6.1
- xyce@7.10.0
- zfp@1.0.1
Additional details
Usage instructions
The 1-Click Security Group opens port 22 only so that you can access your instance via SSH using login 'rocky', you may change this later.
For software development and basic usage:
- Launch the ParaTools Pro for E4S (TM) AMI via 1-Click
- On the 'EC2 Launch an Instance' page pick the key pair you will use to login
- On the 'EC2 Launch an Instance' page optionally edit the network settings by pressing the edit button. Adjust the firewall rules if needed to ensure ssh access and enable Auto-assign public IP if you plan to access the instance remotely from a non-AWS IP address.
- Click 'Launch Instance'
- Find your running instance in the EC2 Instances section of the EC2 dashboard, and connect to the instance via SSH using the key pair you previously selected by picking the instance and pressing the connect button.
For more advanced usage, including launching a ParaTools Pro for E4S (TM) cluster with the Heidi AI Cloud Supercomputer, and submitting multi-node jobs please see:
Support
Vendor support
For general support questions, please email support@paratools.com
Paid support contracts, custom AMIs, and computing environments are available. Please see https://paratoolspro.com/ for additional details.
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Similar products
This product has charges associated with it for optional seller support and pre-configured stack (ParaTools Pro for E4S™). ParaTools Pro for E4S™ is the hardened Extreme-scale Scientific Software Stack on Ubuntu and Rocky Linux, using AWS ParallelCluster, with over 100 HPC and AI/ML tools, an optional Amazon DCV remote desktop on the cluster head node, and cluster configuration built using the Spack package manager and a proprietary MVAPICH-Plus 4 MPI tuned for AWS Elastic Fabric Adapter (EFA). Develop AI/ML applications using tools such as JAX, Keras, NVIDIA BioNeMo, NVIDIA NeMo™, PyTorch, SGLang, TensorFlow, and vLLM tuned for AWS ParallelCluster, with a complete HPC software stack including numerical libraries (PETSc, SuperLU-dist, Trilinos, WRF), visualization tools (ParaView, VisIt), performance evaluation tools (HPCToolkit, TAU), HPC applications (CP2K, GROMACS, LAMMPS, OpenFOAM, Quantum Espresso, WarpX, Xyce).
This product has charges associated with it for optional seller support and pre-configured stack (ParaTools Pro for E4S™). ParaTools Pro for E4S™ is the hardened Extreme-scale Scientific Software Stack on Ubuntu, using AWS Parallel Computing Service (AWS PCS), with over 100 HPC and AI/ML tools, a remote desktop environment (Amazon DCV), and cluster configuration built using the Spack package manager and a proprietary MVAPICH-Plus 4 MPI tuned for AWS Elastic Fabric Adapter (EFA). Develop AI/ML applications using tools such as JAX, Keras, NVIDIA BioNeMo, NVIDIA NeMo™, PyTorch, TensorFlow, and vLLM tuned for AWS Parallel Computing Service, with a complete HPC software stack including numerical libraries (PETSc, SuperLU-dist, Trilinos, WRF), performance evaluation tools (HPCToolkit, TAU), HPC applications (GROMACS, LAMMPS, OpenFOAM, Quantum Espresso, WarpX, Xyce).
This product has charges associated with it for optional seller support and pre-configured stack (ParaTools Pro for E4S™). ParaTools Pro for E4S™ is the hardened Extreme-scale Scientific Software Stack on Ubuntu, using AWS ParallelCluster, with over 100 HPC and AI/ML tools, an optional Amazon DCV remote desktop on the cluster head node, and cluster configuration built using the Spack package manager and a proprietary MVAPICH-Plus 4 MPI tuned for AWS Elastic Fabric Adapter (EFA). Develop AI/ML applications using tools such as JAX, Keras, NVIDIA BioNeMo, NVIDIA NeMo™, PyTorch, TensorFlow, and vLLM tuned for AWS ParallelCluster, with a complete HPC software stack including numerical libraries (PETSc, SuperLU-dist, Trilinos, WRF), visualization tools (Ascent, VTK-m), performance evaluation tools (HPCToolkit, TAU), HPC applications (GROMACS, LAMMPS, OpenFOAM, Quantum Espresso, WarpX, Xyce).
This product has charges associated with it for optional seller support and pre-configured stack (ParaTools Pro for E4S™). ParaTools Pro for E4S™ is the hardened Extreme-scale Scientific Software Stack on Ubuntu, for use with Adaptive Computing's Heidi AI Cloud Supercomputer. It includes over 100 HPC and AI/ML tools, a web-based remote desktop environment, and cluster configuration built using the Spack package manager and a proprietary MVAPICH-Plus 4 MPI tuned for AWS Elastic Fabric Adapter (EFA). Develop AI/ML applications using tools such as JAX, Keras, NIXL, NVIDIA BioNeMo, NVIDIA NeMo™, PyTorch, SGLang, TensorFlow, and vLLM tuned for AWS and Heidi. The HPC stack features numerical libraries (PETSc, SuperLU-dist, Trilinos, WRF), visualization tools (ParaView, VisIt), performance evaluation tools (HPCToolkit, TAU), GPU communication libraries (NCCL, NVSHMEM), and HPC applications (CP2K, GROMACS, LAMMPS, OpenFOAM, Quantum Espresso, WarpX, Xyce).
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