Rackspace Technology Launches On-Demand GPU-as-a-Service Powered by NVIDIA Accelerated Computing
Rackspace Technology (NASDAQ: RXT) has announced the expansion of Rackspace Spot with a new geographic location and an on-demand GPU-as-a-Service powered by NVIDIA accelerated computing. The service includes a new server class featuring the NVIDIA H100 Tensor Core GPU, offering enhanced computational capabilities for AI, machine learning, and data analytics workloads. The platform is hosted in their new SJC3 data center in Silicon Valley, marking their seventh global location. According to IDC, AI datacenter capacity is projected to grow at a 40.5% CAGR through 2027.
Rackspace Technology (NASDAQ: RXT) ha annunciato l'espansione di Rackspace Spot con una nuova posizione geografica e un GPU-as-a-Service on-demand alimentato da NVIDIA per il calcolo accelerato. Il servizio include una nuova classe di server che presenta il NVIDIA H100 Tensor Core GPU, offrendo capacità computazionali avanzate per carichi di lavoro di intelligenza artificiale, machine learning e analisi dei dati. La piattaforma è ospitata nel loro nuovo data center SJC3 nella Silicon Valley, segnando la loro settima posizione globale. Secondo IDC, la capacità dei data center per l'IA è prevista crescere a un CAGR del 40,5% fino al 2027.
Rackspace Technology (NASDAQ: RXT) ha anunciado la expansión de Rackspace Spot con una nueva ubicación geográfica y un GPU-as-a-Service bajo demanda impulsado por NVIDIA para computación acelerada. El servicio incluye una nueva clase de servidores que presenta el NVIDIA H100 Tensor Core GPU, ofreciendo capacidades computacionales mejoradas para cargas de trabajo de inteligencia artificial, aprendizaje automático y análisis de datos. La plataforma está alojada en su nuevo centro de datos SJC3 en Silicon Valley, marcando su séptima ubicación global. Según IDC, se proyecta que la capacidad de los centros de datos de IA crezca a un TAC del 40,5% hasta 2027.
랙스페이스 테크놀로지 (NASDAQ: RXT)가 새로운 지리적 위치와 NVIDIA가 지원하는 수요 기반 GPU 서비스로 Rackspace Spot의 확장을 발표했습니다. 이 서비스는 NVIDIA H100 텐서 코어 GPU를 특징으로 하는 새로운 서버 클래스를 포함하며, AI, 머신러닝 및 데이터 분석 작업을 위한 향상된 계산 능력을 제공합니다. 이 플랫폼은 실리콘 밸리의 새로운 SJC3 데이터 센터에 호스팅되며, 이는 글로벌로는 일곱 번째 위치입니다. IDC에 따르면 AI 데이터 센터 용량은 2027년까지 연평균 40.5% 성장할 것으로 예상됩니다.
Rackspace Technology (NASDAQ: RXT) a annoncé l'expansion de Rackspace Spot avec un nouveau site géographique et un GPU-as-a-Service à la demande alimenté par NVIDIA pour le calcul accéléré. Ce service comprend une nouvelle classe de serveurs mettant en avant le NVIDIA H100 Tensor Core GPU, offrant des capacités de calcul améliorées pour les charges de travail en IA, apprentissage automatique et analyse de données. La plateforme est hébergée dans leur nouveau centre de données SJC3 dans la Silicon Valley, marquant leur septième emplacement mondial. Selon IDC, la capacité des centres de données IA devrait croître à un TAC de 40,5% d'ici 2027.
Rackspace Technology (NASDAQ: RXT) hat die Erweiterung von Rackspace Spot mit einem neuen geografischen Standort und einem GPU-as-a-Service auf Anfrage, betrieben von NVIDIA, für beschleunigtes Rechnen angekündigt. Der Dienst umfasst eine neue Serverklasse mit der NVIDIA H100 Tensor Core GPU, die verbesserte Rechenleistungen für KI-, Machine-Learning- und Datenanalytik-Arbeitslasten bietet. Die Plattform wird in ihrem neuen SJC3-Rechenzentrum im Silicon Valley gehostet, das ihre siebte globale Lage markiert. Laut IDC wird erwartet, dass die Rechenzentrumsleistung für KI bis 2027 mit einer jährlichen Wachstumsrate von 40,5% zunehmen wird.
- Expansion into new geographic location with SJC3 data center in Silicon Valley
- Introduction of new GPU-as-a-Service offering with NVIDIA H100 technology
- Strategic positioning in high-growth AI datacenter market (40.5% CAGR through 2027)
- Enhanced infrastructure capabilities with reduced deployment time
- None.
Insights
The launch of GPU-as-a-Service powered by NVIDIA H100 GPUs represents a strategic expansion into the high-growth AI infrastructure market. With IDC projecting
The on-demand model eliminates significant upfront capital requirements for customers while providing access to premium NVIDIA H100 GPUs. This offering includes robust specifications with 48 hyperthreaded cores and 128GB memory, making it suitable for intensive AI/ML workloads. However, success will depend on competitive pricing and actual utilization rates in a market dominated by major cloud providers.
GPUaaS provides customers on-demand access to powerful accelerated resources for AI, machine learning, data analytics, and graphics rendering workloads
SAN ANTONIO, Nov. 04, 2024 (GLOBE NEWSWIRE) -- Rackspace Technology® (NASDAQ: RXT), a leading hybrid, multicloud, and AI technology services company, today announced the expansion of Rackspace Spot with a new geographic location and an on-demand GPU-as-a-Service powered by NVIDIA accelerated computing. The expansion comes as the demand for compute power is expected to continue to grow at a rapid pace. According to IDC, AI datacenter capacity is "projected to have a compound annual growth rate (CAGR) of
"Rackspace’s GPUaaS will give customers on-demand access to powerful accelerated resources optimized for AI, machine learning, data analytics, and graphics rendering workloads," said Brian Lillie, President of Private Cloud for Rackspace Technology. "With Spot GPUaaS, you can harness high-performance GPUs without substantial upfront investments in hardware, achieving both cost-efficiency and scalability."
The Rackspace Spot GPU-enabled platform is hosted in our newest next-generation Rackspace SJC3 data center in Silicon Valley. The state-of-the-art facility offers enhanced performance and reliability, providing customers with advanced infrastructure from the ground up.
"Rackspace is excited to unveil significant Spot enhancements that deliver increased customer value and performance. Gen-2 provisioning is now available, significantly reducing deployment time and increasing reliability. In addition, Spot is now in seven global locations with the addition of our latest site in San Jose, CA (SJC3)," said Lance Weaver, Chief Product and Technology Officer of Rackspace Private Cloud. "The new data center, constructed from the ground up with the latest OpenStack technology, enhances performance and reliability. This strategic location in the US-West region reduces latency and provides faster access for our West Coast customers, improving their overall user experience. Moreover, this new data center caters to higher-density infrastructure demands, enabling our customers to scale resources seamlessly as their business needs evolve."
Introducing a New Server Class
Rackspace Spot is introducing a new server class equipped with NVIDIA accelerated computing, specifically the NVIDIA H100 Tensor Core GPU.
- GPU H100 Virtual Server v2.Mega Extra-Large offers one NVIDIA H100 GPU, an accelerator-optimized Intel 8568Y CPU with 48 hyperthreaded cores, 128 GB of memory, and advanced storage and networking capabilities.
This advanced GPU offering allows customers to harness the power of NVIDIA accelerated computing to speed up complex workloads such as artificial intelligence, machine learning, and data analytics. Customers can achieve faster processing times and improved operational efficiency with enhanced computational capabilities. Access to cutting-edge technology equips businesses to innovate rapidly and maintain a competitive advantage in their respective markets.
Rackspace Spot is available on-demand at spot.rackspace.com. Detailed specifications of the Spot GPU instances are available by clicking here.
About Rackspace Technology
Rackspace Technology is a leading end-to-end, hybrid, multicloud, and AI solutions company. We can design, build, and operate our customers' cloud environments across all major technology platforms, irrespective of technology stack or deployment model. We partner with our customers at every stage of their cloud journey, enabling them to modernize applications, build new products, and adopt innovative technologies.
Media Contact: Natalie Silva, publicrelations@rackspace.com
[1] AI Datacenter Capacity, Energy Consumption, and Carbon Emission Projections (Doc #US52131624)
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