AWS Parallel Computing Service
AWS Parallel Computing Service (AWS PCS) streamlines the execution and scaling of high-performance computing workloads, empowering users to construct elastic environments with integrated compute, storage, and networking tools. With features like managed updates and observability, it allows researchers to concentrate on innovation, while offering versatile cluster deployment options through familiar AWS interfaces.
Top AWS Parallel Computing Service Alternatives
AWS HPC
AWS HPC enables users to run large-scale simulations and deep learning tasks in the cloud, offering virtually unlimited compute capacity and high-performance file systems.
Intel oneAPI HPC Toolkit
The Intel® oneAPI HPC Toolkit empowers developers to create, analyze, and optimize high-performance computing applications essential for AI, machine learning, and deep learning.
Azure HPC
Azure HPC offers robust high-performance computing solutions tailored for diverse workloads.
NVIDIA Modulus
NVIDIA Modulus is a powerful neural network framework designed to integrate physics with data to create high-fidelity surrogate models.
UberCloud
Simr revolutionizes simulation operations by automating complex workflows, significantly enhancing productivity and collaboration across engineering teams.
NVIDIA HPC SDK
The NVIDIA HPC Software Development Kit (SDK) equips developers with essential compilers, libraries, and tools to enhance productivity and portability in high-performance computing.
Fuzzball
Its user-friendly, web-based interface allows researchers to design and automate complex workflows seamlessly...
HPE Performance Cluster Manager
It streamlines system provisioning, health monitoring, and power management while facilitating rapid setup from bare-metal...
Moab HPC Suite
Utilizing a patented intelligence engine, it employs multi-dimensional policies to optimize workload scheduling and execution...
Ansys HPC
With flexible licensing options, it accommodates everyone from individual users to large teams, facilitating extensive...
Lustre
Its architecture includes Metadata Servers, Object Storage Servers, and clients, enabling efficient I/O operations and...
Covalent
With Python-based access to diverse hardware resources, it automates containerization, provisioning, and scheduling, ensuring efficient...
Arm Allinea Studio
It includes specialized compilers, libraries, and advanced debugging and optimization tools, alongside the Arm Performance...
Nimbix Supercomputing Suite
With features like bare metal-as-a-service and the Federated Supercomputing model, it ensures seamless scalability, agility...
Arm MAP
It operates seamlessly on multiple architectures, delivering critical insights into bottlenecks and memory usage with...
Top AWS Parallel Computing Service Features
- Elastic environment creation
- Managed service for HPC
- Integration with Slurm
- Auto-scaling capabilities
- Simplified cluster operations
- Built-in observability tools
- Managed updates for clusters
- Familiar user interface
- AWS Management Console access
- AWS CLI compatibility
- Infrastructure as code support
- Highly available cluster APIs
- Customizable HPC solutions
- Support for GPU acceleration
- End-to-end HPC solutions
- High-throughput computing support
- Tightly coupled workload optimization
- Seamless integration with AWS services
- Focus on research innovation
- Reduced infrastructure management burden
