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CoreSite Certified as NVIDIA DGX-Ready Data Center Partner

Delivering High-Performance, Scalable Colocation and Interconnection Solutions

CoreSite has been certified as part of the NVIDIA DGX-Ready Data Center program to host scalable, high-performance infrastructure for organizations looking to capitalize on rising demand for artificial intelligence (AI), machine learning (ML) and other high-density applications.

By choosing to host their NVIDIA DGX™ infrastructure with CoreSite, customers can benefit from a national portfolio of high-density-powered data center campus environments for NVIDIA AI and high-performance computing at CoreSite locations including Los Angeles (LA3), Silicon Valley (SV9), Chicago (CH2) and Northern Virginia (VA3).

“The exponential growth of AI and other emerging applications has increased the need for highly interconnected, purpose-built data centers to meet the growing demands for IT, power and cooling infrastructure,” said Juan Font, President and CEO of CoreSite, SVP of American Tower. “Our certification as an NVIDIA DGX-Ready Data Center program partner will enhance CoreSite’s ability to deliver the data center space, advanced cooling and ultra high-density power requirements customers need while making it easier for them to deploy advanced technologies and bring their innovations to market.”

As AI adoption accelerates, CoreSite data centers serve as hubs for interconnection, providing broad and efficient access to the data sources that are training AI models. From flexible low-latency networks, interconnection and cloud networking options to power and cooling sufficient to support the operating requirements of AI infrastructure, CoreSite’s network-dense data centers can serve as a funnel for data produced at every end point, by every connected device.

CoreSite’s data centers also are environments where leading enterprises can operationalize AI technologies such as:

- Deep learning that requires scale, data access and GPU-class performance

- Data science applications that use machine vision, natural language processing, ML and data processing application programming interfaces (APIs)

- Process modernization related to administration, operations and collaborative research and development

CoreSite customers include AI experts and innovators who are implementing AI in their business models today, leveraging high-density, high-performance, reliable and secure data centers combined with digital ecosystems consisting of carriers, platform providers and IT services providers. Current CoreSite customer AI use cases include:

- Autonomous vehicles and driverless delivery systems

- Software solutions offering real-time development platforms for companies in gaming, media and entertainment, general enterprise, manufacturing, government and more

- Entertainment streaming services making individually tailored recommendations and building customized playlists

- Drug discovery, preventative medicine and advanced diagnostics

The Latest

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

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IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

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2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

CoreSite Certified as NVIDIA DGX-Ready Data Center Partner

Delivering High-Performance, Scalable Colocation and Interconnection Solutions

CoreSite has been certified as part of the NVIDIA DGX-Ready Data Center program to host scalable, high-performance infrastructure for organizations looking to capitalize on rising demand for artificial intelligence (AI), machine learning (ML) and other high-density applications.

By choosing to host their NVIDIA DGX™ infrastructure with CoreSite, customers can benefit from a national portfolio of high-density-powered data center campus environments for NVIDIA AI and high-performance computing at CoreSite locations including Los Angeles (LA3), Silicon Valley (SV9), Chicago (CH2) and Northern Virginia (VA3).

“The exponential growth of AI and other emerging applications has increased the need for highly interconnected, purpose-built data centers to meet the growing demands for IT, power and cooling infrastructure,” said Juan Font, President and CEO of CoreSite, SVP of American Tower. “Our certification as an NVIDIA DGX-Ready Data Center program partner will enhance CoreSite’s ability to deliver the data center space, advanced cooling and ultra high-density power requirements customers need while making it easier for them to deploy advanced technologies and bring their innovations to market.”

As AI adoption accelerates, CoreSite data centers serve as hubs for interconnection, providing broad and efficient access to the data sources that are training AI models. From flexible low-latency networks, interconnection and cloud networking options to power and cooling sufficient to support the operating requirements of AI infrastructure, CoreSite’s network-dense data centers can serve as a funnel for data produced at every end point, by every connected device.

CoreSite’s data centers also are environments where leading enterprises can operationalize AI technologies such as:

- Deep learning that requires scale, data access and GPU-class performance

- Data science applications that use machine vision, natural language processing, ML and data processing application programming interfaces (APIs)

- Process modernization related to administration, operations and collaborative research and development

CoreSite customers include AI experts and innovators who are implementing AI in their business models today, leveraging high-density, high-performance, reliable and secure data centers combined with digital ecosystems consisting of carriers, platform providers and IT services providers. Current CoreSite customer AI use cases include:

- Autonomous vehicles and driverless delivery systems

- Software solutions offering real-time development platforms for companies in gaming, media and entertainment, general enterprise, manufacturing, government and more

- Entertainment streaming services making individually tailored recommendations and building customized playlists

- Drug discovery, preventative medicine and advanced diagnostics

The Latest

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...