What is high-performance computing (HPC)?

High-performance computing (HPC) is simply aggregating or combining computing power to increase the system’s overall performance. HPC offers much higher performance than desktops and laptops, and it enables the processing of data and running complex calculations at high speeds.

High-performance computing is helping solve colossal problems in science, business, and engineering. Advancements in technology, like the internet of things (IoT), artificial intelligence, and machine learning require data to get processed in real-time.

High-performance computing (HPC) is the solution.

Real-time processing of data requires high computational power, which is only possible with high-performance computing. Companies need lightning-fast data processing speed to stay ahead in the competition. Whether it be live streaming, testing products, analyzing markets like stock and crypto, the ability to process data at a higher speed and in real-time is essential.

High-Performance Computing (HPC): Top Providers’ Comparison

AWS High-Performance Computing (HPC)

Most of the cloud-based HPC applications run on AWS. Amazon web service provides the most flexible and scalable platform to run High-performance computing applications. Amazon web service provides virtually unlimited infrastructure and fast networking. The infrastructure empowers engineers, cloud architects, and users to go beyond the limitations of on-premise HPC.

Amazon Web provides services that quickly build and manage high-performance computing clusters in the cloud. AWS’s high-performance computing can run huge workloads. And Various industries, organizations, and business enterprises can quickly adopt AWS’s high-performance computing.

Many applications run on AWS high-performance computing like computational chemistry, genomics, financial risk modeling, seismic imaging, computer-aided engineering, and weather prediction. The latest technologies, such as machine learning, autonomous driving, and deep learning, can easily get implemented using AWS high-performance computing.

Amazon web service innovates faster and redefines the traditional HPC workflows. HPC on AWS allows flexible configuration and unlimited scalability, allowing its users to expand and shrink their infrastructure according to their workloads.

AWS High-Performance Computing services increase speed by removing lengthy wait times. There is no longer a need to worry about lost productivity, which is a big issue in premise HPC.

Following are some of the use cases:

  • Computational Fluid Dynamics
  • Genomics
  • Reservoir Simulation
  • Risk Management & Portfolio Optimization
  • Autonomous Vehicles – Driving Simulation
  • Research Computing and Higher Education

Google Cloud High-Performance Computing (HPC)

Google Cloud’s high-performance computing is all about speed and scalability. Google cloud’s HPC flexibility helps to innovate faster and complete tasks speedily. On-premise service took days to get results otherwise.

Google Cloud provides access to the most extensive computing and storage hardware, robust networking, and intelligent automated management on the cleanest cloud.

Google cloud’s HPC has a robust infrastructure to support intensive workloads. With Google cloud’s HPC, each team can access their tailor-made clusters to cut queue times for large-batch workloads. Users can build their supercomputers using the latest Intel and AMD processors NVIDIA GPUs and low-latency object and file storage. Users can also access custom machine configurations to control costs.

Following are some of the use cases:

  • Covid-19 epidemiological models
  • Analyzing human genomes
  • Extract insights from over 100 PB of data
  • Power-complex chip design processes

Azure High-Performance Computing (HPC)

Microsoft high-performance computing provides a combination of networks, storage, and application workload orchestration. Azure offers better price and performance than on-premise computing.

Azure offers purpose-built infrastructure, solutions, and optimized application services.

Microsoft Azure high-performance computing provides the latest machine learning tools to drive ingenious simulations and empower intelligent decision-making. Azure high-performance computing offers optimized performance with lowered costs.

Microsoft Azure HPC allows its users to get the most out of CPU, GPU, FPGA, and fast interconnect capabilities. This optimizes the performance and takes minutes to perform complex tasks. Using Microsoft Azure HPC, users can build and manage HPC clusters for their use, enabling end-to-end application life cycle management.

Microsoft Azure HPC has robust reliability, data security, and global regulatory compliance. With Microsoft Azure HPC, users can make and train new AI models with automated machine learning.

Following are some of the use cases:

  • Automotive
  • Financial services
  • Energy
  • Health research
  • Silicon
  • Manufacturing

IBM High-Performance Computing (HPC)

IMB cloud high-performance computing can achieve results at a fast rate by scaling many parallel tasks. This security-rich HPC can optimize the technology to meet a specific task, hence lowering costs. IBM cloud high-performance computing has the solution to meet your needs, whether the workload requires a hybrid environment or an environment fully contained in the cloud.

IBM cloud offers IaaS for creating HPC environments, using IBM virtual private cloud and IBM cloud code engine for a server-less platform. IBM Spectrum LSF and IBM Spectrum Symphony offer intelligent and dynamic hybrid cloud capabilities to manage workloads and cut costs. IBM Spectrum Scale provides a high-performance file system for workloads that need low-latency data access.

IBM Aspera is a fast and reliable system to share files and data of any size hundreds of times faster than FTP and HTTP, without saturating the network.

IBM cloud’s HPC elevates performance as it uses the latest compute and accelerators to power HPC. IBM cloud’s HPC reduces cost as you only have to pay for what you need. With IBM Cloud, HPC users can speed up deployment. IBM provides its users with complete automation and an integrated user experience. Secure encryption secures users’ data in the cloud. The most significant advantage for IBM users is that they get automation, integration, and AI when they opt for IBM’s high-performance computing.

Following are some of the use cases:

  • Electronic design automation
  • Life sciences
  • Filming, media, and gaming
  • Financial services
  • Government and defense
  • Oil and gas