Press Release

Cyxtera launches its AI/ML compute as a service which is powered by the NVIDIA DGX A100 system

Data center and interconnectivity service solutions provider Cyxtera announced in a company press release today that it has launched its landmark Artificial Intelligence/Machine Learning (AI/ML) compute as a service offering to deliver data center platform capabilities enabling AI-powered workloads.

Russell Cozart, Senior Vice President of Marketing and Product Strategy for Cyxtera explained what this meant for its customers by saying: “Launching our DGX-based AI/ML compute as a service offering reinforces our continued focus on providing enterprise customers with a rich variety of leading-edge infrastructure options across our global footprint. As a certified NVIDIA DGX-Ready Program partner, we’re offering accelerated solutions ideally suited to our enterprise customer base.”

COVID-19 has drawn increased attention to the potential benefits of businesses and industries introducing AI-enabled technologies and what it can bring for both its clients and increasing the efficiency of its operations.

Cyxtera joins a number of other businesses that are realising the potential of investing in its operations infrastructure which includes ING choosing Expert System’s AI-based automation to improve its systems processes and Fiserv being selected by BOB Financial Solutions Limited to enable the digital transformation of their end-to-end card issuance and processing cycle.

The data center and interconnectivity solution provider claims its a first-of-its-kind offering in the market with the flexible infrastructures model being able to leverage point-and-click provisioning via its data center services exchange.

Cyxtera’s solution is powered by NVIDIA DGX A100 with the company noting that it allows its clients the simplicity and ease of the cloud with the deterministic performance of dedicated infrastructure.

data center and interconnectivity
Credit: Cyxtera

The benefits customer can expect from using the Cyxtera AI/ML compute-as-a-service include cost-efficiency, quicker time to market, improved flexibility, operational support, and global coverage.

Customers will apparently have direct access to a rich ecosystem of service providers and technology solutions, including storage-as-a-Service (StaaS), interconnectivity, and security among other managed services, all of which complement the NVIDIA DGX A100 deployment via the Cyxtera Marketplace.

The data center and interconnectivity solution provider claims provide services to more than 2,000 leading enterprises and U.S. federal government agencies from its 62 data centers that are located in 29 markets and have access to 600 networks that span across North America, Europe, and Asia.

The AI/ML compute-as-a-service joins Cyxtera’s three existing services it currently offers clients which include colocation services, enterprise bare metal, and CXD federal edition.

Charlie Boyle, Vice President, General Manager of DGX Systems at NVIDIA comments on how the AI/ML Compute as a Service can help Cyxtera customers by saying: “Many organizations want to speed up their AI innovation cycle, but lack the infrastructure to support it. Cyxtera’s AI/ML compute-as-a-service offering makes it easy to leverage the performance, flexibility, and efficiency of DGX A100 in a cost-effective model, enabling more businesses to succeed in the race to deploy AI.”

Cyxtera wrote in the press release that enterprises will be able to provision NVIDIA DGX A100 systems via Cyxtera’s service exchange, providing the security and control provided by single-tenant, dedicated infrastructure combined with the flexibility and agility of the cloud.

The NVIDIA DGX A100 offering will apparently allow managed service providers to focus on service delivery by eliminating large upfront capital investments in data center infrastructure while providing access to customers via the Cyxtera exchange.

The data center and interconnectivity solution provider said the service offering will initially be available in Cyxtera’s Northern Virginia, Dallas/Fort Worth, and London metro data centers with plans to expand across the company’s global footprint of its 62 data centers.

Author

  • Tom Allen

    Founder of The AI Journal. I like to write about AI and emerging technologies to inform people how they are changing our world for the better.

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