Oracle Cloud Unveils New HPC Offerings to Support Mission Critical Workloads

Mission Critical

Oracle today announced availability of new bare metal Oracle Cloud Infrastructure compute instances to help enterprises run various performance sensitive workloads, such as artificial intelligence (AI) or engineering simulations, in the cloud.

These new instances are part of Oracle’s new “Clustered Network,” which gives customers access to a low latency and high bandwidth RDMA network. Oracle now provides large organizations with a complete set of solutions for any high performance computing (HPC) workload, enabling businesses to capitalize on the benefits of modern cloud computing while enjoying performance comparable to on-premises compute clusters at a cost that makes sense for their businesses.

Countless enterprises have considered a transition to the cloud for years for their legacy HPC workloads, but were unable to do so due to the lack of high performant cloud offerings or economics that would make it too expensive to run in the cloud. Organizations have struggled to find a cloud that can support new workload requirements while realizing cost efficiencies and flexibility that meet business goals and overall technology vision. With today’s news, organizations finally have a low-cost path to extend their on-premises HPC workloads to the cloud without sacrificing performance.

“HPC has been underserved in the cloud due to lack of high performance networking (RDMA) and unappealing price/performance. We’ve listened to our customers and over the last few years Oracle has focused on improving high performance bare-metal offerings, such as Clustered Networking, to provide on-premise customers with the options they need to extend their HPC workloads to the cloud,” said Vinay Kumar, vice president, Product Management & Strategy, Oracle Cloud Infrastructure. “Our growing collaboration with trusted vendors helps Oracle Cloud Infrastructure continue to expand and offer the best performance at the lowest cost for the workloads that customers really need to extend into the cloud.”

With Oracle’s Clustered Network offering at the data center level, Oracle has opened up an entirely new set of use-cases and workloads that enterprises can harness the power of cloud computing for, ranging from car crash simulations in automotive and DNA sequencing in healthcare to reservoir simulation for oil exploration. Organizations can now deploy additional use-cases previously out of their reach, such as using data from their Oracle Database and cutting-edge NVIDIA(R) Tesla(R) GPUs to run Neural Network AI training and instantly adding value to their data.

The new offering is powered by high-frequency Intel® Xeon® Scalable processors and Mellanox’s high performance network interface controllers. For more than 25 years, Oracle and Intel have worked closely to bring innovative, scalable, and secure enterprise-class solutions to its customers. This new addition completes Oracle’s comprehensive set of infrastructure solutions for the full range of both CPU- and NVIDIA GPU-based HPC workloads, providing customers with streamlined and lower cost access to specialized offerings in the cloud. Oracle Cloud Infrastructure now provides a complete range of HPC workloads, including the only bare metal Infrastructure-as-a-Service (IaaS) offering on the market with RDMA.

These new HPC instances with Clustered Networking are offered across Oracle regions in the US and EU at $0.075 per core hour, a 49 percent pay-as-you-go savings compared to other cloud providers on the market.

Additionally, these capabilities will also be expanded for Oracle’s recently announced support for NVIDIA HGX-2 platform on Oracle Cloud Infrastructure. Customers will be able to take advantage of clustered networking as part of the next generation of NVIDIA Tensor Core GPUs, opening up large scale GPU workloads such as AI and deep learning.

About Shakthi

I am a Tech Blogger, Disability Activist, Keynote Speaker, Startup Mentor and Digital Branding Consultant. Also a McKinsey Executive Panel Member. Also known as @v_shakthi on twitter. Been around Tech for two decades now.

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