DVL

26ec09d6-0aef-4af4-9658-261a33b49ef8

A Comprehensive Guide to HPC in the Data Center

Released: Jan 17, 2024 |

Length: 28 pages |

Language: English |

Resource: Whitepaper

High-performance computing enables organizations to use parallel processing to run advanced programs such as AI and data analytics. The technology combines the processing power of multiple computers to handle complex computing tasks.

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What are the top co-location challenges that you are currently experiencing? *

Enabling DevOps

Progressing Digital Transformation

Reducing Operational costs

Increased insight into performance, capacity & cost

Enabling increased IT automation

Enabling secure remote work

Progressing our edge computing strategy/IoT

Avoiding vendor lock-in/sole sourcing

Container based applications

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Migrating to the cloud

Data Migration/Bulk transfer

Application migration

Lack of expertise and/or staff resources

Inadequate data protection

Meeting data privacy and compliance regulations

Increasing uptime

Data center consolidation

Lacking appropriate technology ecosystem to support generative AI initiatives

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What outcomes or improvements to your co-location are you hoping to achieve? *

Lower power and cooling costs

Reduce on-premises data center footprint

Increase infrastructure resiliency/availability

Improved business continuity and disaster recovery

Increased IT security

Reduced current facility/floor space

Multi-cloud connectivity and management

Increased ability to handle Big Data/high-performance workloads

Increase speed and performance of mission critical apps and databases

Modernized data architecture to support advance analytics and AI

Reduce capital costs

Integration with on-premises infrastructure/virtualization

Rapid and automated elasticity

Support remote/branch office

Expand hybrid cloud

Leverage solutions with generative AI capabilities

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