Best HPC Software of 2024

The Nimbix Supercomputing Suite offers a range of high-performance computing (HPC), as-a-service solutions that are flexible and secure. This as-a service model for HPC, AI and Quantum in cloud gives customers access to one the largest HPC and supercomputing portfolios. It includes hardware, bare metal-as a service, and the democratization and use of advanced computing in cloud across public and privately owned data centers. HyperHub Application Marketplace is our high-performance marketplace that offers over 1,000 applications and workflows. For the best infrastructure and on-demand scalability and convenience, BullSequana HPC server can be used as bare metal. Federated supercomputing-as-a-service offers a unified service console to manage all compute zones and regions in a public or private HPC, AI, and supercomputing federation.

Kao Data is a leader in the industry. It pioneered the development and operation data centres designed for AI and advanced computing. We provide our customers a secure, scalable, and sustainable computing environment with a hyperscale platform. Kao Data is a leader in the industry for developing and operating data centres designed for AI and advanced computing. Our Harlow campus is the UK's top choice for high-density, GPU-powered computing. We can help you realize your hybrid AI and HPC goals with rapid on-ramps to all major cloud providers.

Bright Cluster Manager offers a variety of machine learning frameworks including Torch, Tensorflow and Tensorflow to simplify your deep-learning projects. Bright offers a selection the most popular Machine Learning libraries that can be used to access datasets. These include MLPython and NVIDIA CUDA Deep Neural Network Library (cuDNN), Deep Learning GPU Trainer System (DIGITS), CaffeOnSpark (a Spark package that allows deep learning), and MLPython. Bright makes it easy to find, configure, and deploy all the necessary components to run these deep learning libraries and frameworks. There are over 400MB of Python modules to support machine learning packages. We also include the NVIDIA hardware drivers and CUDA (parallel computer platform API) drivers, CUB(CUDA building blocks), NCCL (library standard collective communication routines).

Moab®, HPC Suite automates the management, monitoring, reporting, and scheduling of large-scale HPC workloads. Its intelligence engine, which is patent-pending, uses multi-dimensional policies to optimize workload start times and run time on different resources. These policies balance high utilization goals and throughput with competing workload priorities, SLA requirements, and thus accomplish more work in less time and in a better priority order. Moab HPC Suite maximizes the value and use of HPC systems, while reducing complexity and management costs.