List of the Top 10 HPC Software for Windows in 2025

Simr, previously known as UberCloud, is transforming simulation operations through its premier offering, Simulation Operations Automation (SimOps). This innovative solution is crafted to simplify and automate intricate simulation processes, thereby boosting productivity, collaboration, and efficiency for engineers and scientists in numerous fields such as automotive, aerospace, biomedical engineering, defense, and consumer electronics. By utilizing our cloud-based infrastructure, clients can benefit from scalable and budget-friendly solutions that remove the requirement for hefty upfront hardware expenditures. This approach guarantees that users gain access to the necessary computational resources precisely when needed, ultimately leading to lower costs and enhanced operational effectiveness. Simr has earned the trust of some of the world's top companies, including three of the seven leading global enterprises. A standout example of our impact is BorgWarner, a Tier 1 automotive supplier that employs Simr to streamline its simulation environments, resulting in marked efficiency improvements and fostering innovation. In addition, our commitment to continuous improvement ensures that we remain at the forefront of simulation technology advancements.

Metariver Technology Co., Ltd. is at the forefront of developing pioneering computer-aided engineering (CAE) software that leverages cutting-edge high-performance computing (HPC) advancements and software solutions, including the powerful CUDA technology. Our innovative approach is revolutionizing the CAE landscape by incorporating particle-based methodologies, accelerated computational capabilities through GPUs, and sophisticated CAE analysis tools. We are excited to introduce our range of products designed to meet diverse engineering needs: 1. Samadii-DEM: Utilizes the discrete element method to analyze solid particles. 2. Samadii-SCIV (Statistical Contact In Vacuum): Focuses on gas-flow simulations within high vacuum systems. 3. Samadii-EM (Electromagnetics): Provides comprehensive full-field electromagnetic interpretation. 4. Samadii-Plasma: Analyzes the dynamics of ions and electrons within electromagnetic fields. 5. Vampire (Virtual Additive Manufacturing System): Specializes in transient heat transfer assessments, enhancing manufacturing processes with precision. Our commitment to innovation ensures that engineers have the tools they need to push the boundaries of what is possible in their fields.

The Lustre file system is an open-source, parallel file system engineered to meet the rigorous demands of high-performance computing (HPC) simulation environments typically found in premier facilities. Whether you are part of our dynamic development community or assessing Lustre for your parallel file system needs, you will have access to a wealth of resources and support. With a POSIX-compliant interface, Lustre efficiently scales to support thousands of clients and manage petabytes of data while achieving remarkable I/O bandwidths that can surpass hundreds of gigabytes per second. Its architecture consists of crucial components, including Metadata Servers (MDS), Metadata Targets (MDT), Object Storage Servers (OSS), Object Server Targets (OST), and Lustre clients. Designed to create a cohesive, global POSIX-compliant namespace, Lustre is tailored for extensive computing environments, encompassing some of the largest supercomputing platforms available today. With the ability to handle vast amounts of data storage, Lustre emerges as a powerful solution for organizations aiming to effectively manage large datasets. Its adaptability and scalability render it an excellent choice across diverse applications in scientific research and data-intensive computing, reinforcing its status as a leading file system in the realm of high-performance computing. Organizations leveraging Lustre can expect enhanced data management capabilities and streamlined operations tailored to their computational needs.

Design, manage, oversee, and improve high-performance computing (HPC) environments and large compute clusters of varying sizes. Implement comprehensive clusters that incorporate various resources such as scheduling systems, virtual machines for processing, storage solutions, networking elements, and caching strategies. Customize and enhance clusters with advanced policy and governance features, which include cost management, integration with Active Directory, as well as monitoring and reporting capabilities. You can continue using your existing job schedulers and applications without any modifications. Provide administrators with extensive control over user permissions for job execution, allowing them to specify where and at what cost jobs can be executed. Utilize integrated autoscaling capabilities and reliable reference architectures suited for a range of HPC workloads across multiple sectors. CycleCloud supports any job scheduler or software ecosystem, whether proprietary, open-source, or commercial. As your resource requirements evolve, it is crucial that your cluster can adjust accordingly. By incorporating scheduler-aware autoscaling, you can dynamically synchronize your resources with workload demands, ensuring peak performance and cost-effectiveness. This flexibility not only boosts efficiency but also plays a vital role in optimizing the return on investment for your HPC infrastructure, ultimately supporting your organization's long-term success.

The NVIDIA GPU-Optimized AMI is a specialized virtual machine image crafted to optimize performance for GPU-accelerated tasks in fields such as Machine Learning, Deep Learning, Data Science, and High-Performance Computing (HPC). With this AMI, users can swiftly set up a GPU-accelerated EC2 virtual machine instance, which comes equipped with a pre-configured Ubuntu operating system, GPU driver, Docker, and the NVIDIA container toolkit, making the setup process efficient and quick. This AMI also facilitates easy access to the NVIDIA NGC Catalog, a comprehensive resource for GPU-optimized software, which allows users to seamlessly pull and utilize performance-optimized, vetted, and NVIDIA-certified Docker containers. The NGC catalog provides free access to a wide array of containerized applications tailored for AI, Data Science, and HPC, in addition to pre-trained models, AI SDKs, and numerous other tools, empowering data scientists, developers, and researchers to focus on developing and deploying cutting-edge solutions. Furthermore, the GPU-optimized AMI is offered at no cost, with an additional option for users to acquire enterprise support through NVIDIA AI Enterprise services. For more information regarding support options associated with this AMI, please consult the 'Support Information' section below. Ultimately, using this AMI not only simplifies the setup of computational resources but also enhances overall productivity for projects demanding substantial processing power, thereby significantly accelerating the innovation cycle in these domains.

The Ansys HPC software suite empowers users to leverage modern multicore processors, enabling a greater number of simulations to be conducted in reduced timeframes. With the advent of high-performance computing (HPC), these simulations can achieve unprecedented levels of size, complexity, and accuracy. Ansys offers flexible HPC licensing options that cater to various computational needs, ranging from single-user setups to small-group configurations, all the way to expansive parallel capabilities for larger teams. This flexibility allows for highly scalable parallel processing simulations, making it suitable for tackling even the most challenging projects. Additionally, Ansys provides both parallel computing solutions and parametric computing, facilitating the exploration of design parameters such as dimensions, weight, shape, and material properties. By integrating these tools early in the product development cycle, teams can enhance their design processes significantly while improving overall efficiency. This comprehensive approach positions Ansys as a leader in supporting innovative engineering workflows.

High-performance computing (HPC) is a crucial aspect for various applications, including AI, machine learning, and deep learning. The Intel® oneAPI HPC Toolkit (HPC Kit) provides developers with vital resources to create, analyze, improve, and scale HPC applications by leveraging cutting-edge techniques in vectorization, multithreading, multi-node parallelization, and effective memory management. This toolkit is a key addition to the Intel® oneAPI Base Toolkit, which is essential for unlocking its full potential. Furthermore, it offers users access to the Intel® Distribution for Python*, the Intel® oneAPI DPC++/C++ compiler, a comprehensive suite of powerful data-centric libraries, and advanced analysis tools. Everything you need to build, test, and enhance your oneAPI projects is available completely free of charge. By registering for an Intel® Developer Cloud account, you receive 120 days of complimentary access to the latest Intel® hardware—including CPUs, GPUs, and FPGAs—as well as the entire suite of Intel oneAPI tools and frameworks. This streamlined experience is designed to be user-friendly, requiring no software downloads, configuration, or installation, making it accessible to developers across all skill levels. Ultimately, the Intel® oneAPI HPC Toolkit empowers developers to fully harness the capabilities of high-performance computing in their projects.

Intel offers a comprehensive suite of development tools tailored for Altera FPGAs, CPLDs, and SoC FPGAs, catering to the diverse requirements of hardware engineers, software developers, and system architects. The Quartus Prime Design Software serves as an all-encompassing platform that combines the essential features necessary for designing FPGAs, SoC FPGAs, and CPLDs, addressing key areas such as synthesis, optimization, verification, and simulation. To facilitate high-level design, Intel provides a range of tools, including the Altera FPGA Add-on for the oneAPI Base Toolkit, DSP Builder, the High-Level Synthesis (HLS) Compiler, and the P4 Suite for FPGA, which streamline the development process in domains like digital signal processing and high-level synthesis. Furthermore, embedded developers can utilize Nios V soft embedded processors alongside an array of specialized design tools, such as the Ashling RiscFree IDE and Arm Development Studio (DS) specifically designed for Altera SoC FPGAs, thereby enhancing the software development experience for embedded systems. With these extensive resources, developers are well-equipped to efficiently create optimized solutions across various application domains, resulting in improved productivity and innovation in their projects. This comprehensive support ultimately empowers teams to tackle complex challenges and realize their design visions with greater ease.

Harnessing the unique and inherently adaptable principles of Lattice Boltzmann physics, the PowerFLOW CFD solution performs simulations that closely mirror real-life conditions. This innovative suite enables engineers to evaluate product performance during the initial design phases, prior to the creation of any prototypes—an essential time for making changes that can significantly influence both design effectiveness and budget constraints. PowerFLOW facilitates the seamless import of complex model geometries and carries out precise aerodynamic, aeroacoustic, and thermal management simulations with remarkable efficiency. By automating the processes of domain discretization, turbulence modeling, and wall treatment, it eliminates the necessity for manual volume and boundary layer meshing. Users can effectively run PowerFLOW simulations across a multitude of compute cores on commonly used High Performance Computing (HPC) platforms, which boosts both productivity and reliability throughout the simulation workflow. This advanced capability not only shortens product development cycles but also guarantees that potential challenges are detected and resolved early in the design process, ultimately leading to better final products. Consequently, engineers can innovate faster and bring superior solutions to market with confidence.

NVIDIA GPU Cloud (NGC) is a cloud-based platform that utilizes GPU acceleration to support deep learning and scientific computations effectively. It provides an extensive library of fully integrated containers tailored for deep learning frameworks, ensuring optimal performance on NVIDIA GPUs, whether utilized individually or in multi-GPU configurations. Moreover, the NVIDIA train, adapt, and optimize (TAO) platform simplifies the creation of enterprise AI applications by allowing for rapid model adaptation and enhancement. With its intuitive guided workflow, organizations can easily fine-tune pre-trained models using their specific datasets, enabling them to produce accurate AI models within hours instead of the conventional months, thereby minimizing the need for lengthy training sessions and advanced AI expertise. If you're ready to explore the realm of containers and models available on NGC, this is the perfect place to begin your journey. Additionally, NGC’s Private Registries provide users with the tools to securely manage and deploy their proprietary assets, significantly enriching the overall AI development experience. This makes NGC not only a powerful tool for AI development but also a secure environment for innovation.