ParaTools Pro for E4S™[1] - the Extreme-scale Scientific Software Stack[2] hardened for commercial clouds and supported by ParaTools, Inc. provides a platform for developing and deploying HPC and AI/ML applications. It features a performant remote desktop environment (based on VNC) on the login node and compute nodes interconnected by a low-latency, high bandwidth MVAPICH MPI implementation tuned for Microsoft Azure's Infiniband enabled VMs. ParaTools Pro for E4S™ features a suite of over 100 HPC tools built using the Spack[3] package manager and MVAPICH MPI tuned for Azure's Infiniband interconnect. It features ready to use HPC applications (such as OpenFOAM, LAMMPS, Xyce, CP2K, deal.II, GROMACS, Quantum Espresso) as well as AI/ML tools based on Python (such as NVIDIA NeMo™, TensorFlow, PyTorch, JAX, Horovod, Keras, OpenCV, matplotlib, and supports Jupyter notebooks) and the Codium IDE. New packages can be easily installed using Spack and pip and are accessible on the cluster compute and login 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. Users wanting to stand up an HPC cluster with a complete software stack for AI/ML and/or HPC engineering and science applications will benefit from this offer. Building and configuring software for a consistent, robust and performant environment is surprisingly difficult. This product addresses the need for a complete software stack for HPC and AI/ML applications, including a remote desktop environment, batch job management, and a host of AI/ML and science & engineering tools. Leverage the spack package manager to install additional custom software or use the various pre-built components to build your own solutions. This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Office of Advanced Scientific Computing and 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™, Horovod, JAX, Keras etc. [1]: https://paratoolspro.com/ [2]: https://e4s.io [3]: https://spack.io