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Rackspace technology developed for NVIDIA Accelerated Computing based on On-Demand-GPU-as-a-Service ein

Rackspace technology developed for NVIDIA Accelerated Computing based on On-Demand-GPU-as-a-Service ein

GPUaaS provides data creation capabilities from best-in-class sources for AI, machine learning, data analytics, and graphics rendering workloads.

SAN ANTONIO, Nov. 5, 2024 (GLOBE NEWSWIRE) — Rackspace Technology® (NASDAQ: RXT), a powerful solution for hybrid, multi-cloud and AI technology services, bringing a new standard to Rackspace Spot hardware and an On-Demand GPU-as-a-Service with NVIDIA-enabled data processing capabilities. The Erweiterung is completed, the Nachfrage nach Rechenleistung voraussichtlich weiterhin rasant steigen wird. The IDC has forecast a continuous annual growth rate (CAGR) of 40.5% for the Kapazität von KI-Rechenzentren until 2027.”(1) Rackspace Spot Erfüllt Die Nachfrage NACH A first class platform for intensive use again with artistic intelligence, machine learning and data analysis, indemnity is completely complete in market preparation.

“Rackspace GPUaaS lets you run on-demand applications on the most advanced resources that optimize for AI, machine learning, data analytics and graphics rendering workloads,” said Brian Lillie, president of Private Cloud at Rackspace Technology. “With Spot GPUaaS, you can use your graphic design processes to invest in hardware and save money when shopping for hardware.”

The Rackspace Spot GPU platform features the new next-generation Rackspace SJC3 research center in Silicon Valley. The high-modern furnishings offer extensive comfort and ease of use and ensure that the knowledge of the environment is strong in terms of infrastructure.

“Rackspace is an excellent place for freezing, higher quality and higher Leistung beets. The Bereitstellung of Gen-2 is jetzt verügbar, the Bereitstellungszeit erheblich verkürzt and the Zuverlässigkeit erhöht. Darüber, Spot has a global stand-up presence with our new Standort in San Jose, CA (SJC3),” said Lance Weaver, Chief Product and Technology Officer of Rackspace Private Cloud. “The new research center, the von Grund with the new OpenStack technology, has been developed, the Leistung and the Zuverlässigkeit. This strategic layer in the West of the US replaces the latent and non-existent knowledge and the West Coast of a short time, which spoils its entire total utilization. Since we want to undertake a new research into the infrastructure and an infrastructure with a higher density and more light, the sources will no longer be available and will allow the following arrangements to be made.”

A new server class has been installed
Rackspace Spot offers a new class of server that features NVIDIA-available data authentication built into the NVIDIA H100 Tensor Core GPU.

  • GPU H100 Virtual Server v2.Mega Extra-Large with an NVIDIA H100 GPU, a pre-optimized Intel 8568Y processor with 48 Hyperthreading cores, 128 GB Arbeitsspeicher and improved storage and networking functions.

This powerful GPU chip is light in nature, the Leistung of NVIDIA beschleunende Computing computers is a complex construction with advanced intelligence, learning and data analysis engines. With improved recovery you can experience faster recovery times and improved business efficiency. Modern technology has brought light, innovations will increase rapidly, and their jewelry brands will have a legal impact on their safety.

Rackspace Spot is available on a page at spot.rackspace.com. Detailed specifications of the Spot GPU installation can be found here.

Uber Rackspace technology
Rackspace Technology is an innovative technology of hybrid, end-to-end, multi-cloud and AI solutions. You can connect to the Cloud technology that you can use to use all technology platforms that connect to your own technology stack or preparation models. We can collaborate and help with our knowledge in the cloud development phase, enabling modernization, new products and innovative technologies.

Media contact: Natalie Silva, (email protected)

(1) Kapazität des KI-Rechenzentrums, Energieverbrauch und Prognosen zu Kohlenstoffemissionen (Doc. No. US52131624)

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