The convergence of HPC, big data, and cloud enables the emergence of new applications and services. New access methods facilitate HPC democratization by offering cheaper and easier resources. For example, if HPC resources and software tools for analysis and simulation are made available on cloud platforms, this allows the design of better products and services for companies that currently lack the appropriate infrastructure to do so.

On the other hand, the cloud enables the more classic HPC community to benefit from large computing capabilities and from a wealth of open primary data and information through an HPC and data infrastructure based on cloud technologies.

The close relationship between HPC, cloud, and the growing number of industrial applications and scientific areas makes HPC a key interdisciplinary tool, as computational aspects are increasingly integrated into multiple and different areas such as biochemistry, pharmacology, engineering, entertainment or finance.

 

Applications
User Environment: Web services

 

Middleware 
File System: Ceph, S3
Monitoring & Alert Tools: Ganglia, Nagios, Icinga, Grafana, Elasticsearch

 

System Software
Cluster Manager: Bright Computing
Virtualization: OpenNebula, OpenStack, VMware, Xen-Source, KVM
Containers: Singularity, Docker, Docker Swarm, LXD

 

Hardware
Private Cloud: Virtualization nodes, storage
Public Cloud: Configuration of HPC environments in Public Clouds (VMs o baremetal)
Pay-per-use HPC Cloud: Integration of remote resources into local HPC systems

 

Headquarters

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+34 931640488
info@hpcnow.com
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NZ Office

Level 8
139 Quay Street
1010 - Auckland (New Zealand)
+64 27 301 1060
info@hpcnow.com

Contact

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