Oracle today announced the general availability of new bare metal Oracle Cloud Infrastructure compute instances, powered by Intel Xeon processors. These new instances add to Oracle's CPU- and GPU-based high performance computing (HPC) workloads, with the aim of convincing large businesses to bring legacy HPC workloads to the cloud for the first time. The instances are part of Oracle's new "Clustered Network" offering, which provides access to a low-latency, high-bandwidth remote direct memory access (RDMA) network. Oracle says it's the only cloud provider offering bare metal Infrastructure-as-a-Service (IaaS) with RDMA. Also: Amazon's consumer business moves from Oracle to AWS, but Larry Ellison won't stop talking With the Clustered Network, companies can run performance-sensitive workloads, such as AI or engineering simulations.
Fresh off of its high-profile deal with TikTok and a series of other major cloud customer wins, Oracle on Tuesday showcase its vision for its cloud business over the next 12 to 18 months. With a heavy focus on high-performance computing (HPC) workloads, the company announced a series of hardware and compute updates, as well as new partnerships. The announcements include: New HPC instances on Oracle Cloud Infrastructure (OCI) powered by Intel "Ice Lake" chips, the general availability of Nvidia A100 GPUs on bare metal instances and the introduction of E4 compute instances for general purpose workloads. Additionally, Oracle is partnering with Ampere to offer Oracle's first ARM-based compute instances, and it's partnering with Rescale to make it easier for customers to onboard HPC jobs. After nearly four years of competing effectively as a niche provider, overshadowed by major public cloud providers like Amazon Web Services, Microsoft Azure and Google Cloud, Oracle's cloud business is showing some momentum: With more than 25 regions currently online, OCI should have 36 regions up and running globally by this time next year.
The rush to digitalise has pushed businesses to move to the cloud, though, there remain nagging concerns about vendor lock-in and their ability to move between different cloud environments. In their efforts to address these issues, both Google and Oracle are touting service offerings that they say will ensure openness and flexibility. And as adoption grows, can cloud's core components become commoditised and go the way of network pipes, with focus shifting to value-added service delivery as it did for telcos? Chris Chelliah, Oracle's group vice president and chief architect of core technology and cloud, believes so, pointing to compute and storage as components that are likely to become commoditised. Should public cloud spending remain on its CAGR trajectory of 25%, it will have an economic impact of $450 billion across six Asia-Pacific markets from 2019 to 2023, fuelling consumer spending and creating jobs.
The deep learning component of AI can be a high-performance computing problem as it requires a large amount of computation and a data motion (IO and network). Deep learning needs computationally-intensive training and lots of computational power help to enable speeding up the training cycles. High-performance computing (HPC) allows businesses to scale computationally to build deep learning algorithms that can take advantage of high volumes of data. With more data comes the need for larger amounts of computing needs with great performance specs. This is leading to HPC and AI converging, unleashing a new era.
Oracle on Tuesday announced the availability of AMD EPYC-powered instances on Oracle Cloud Infrastructure (OCI). Oracle says it's the largest public cloud provider to have bare metal instances on AMD EPYC processors. The Compute Standard E2 platform -- the first addition to the AMD EPYC processor-based E series -- is generally available in Bare Metal as well as one, two, four and eight core VM Shapes. At 3 cents per core hour, Oracle says it's the most cost-effective instance available on any public cloud. The EPYC platform also offers more than 269 Gb/s memory bandwidth, the highest recorded by any instance in the public cloud.