Oracle Cloud Infrastructure was built from the ground up to be the most powerful public cloud for customers running artificial intelligence (AI), high-performance computing (HPC), and big data applications.
At this week's NVIDIA GPU Technology Conference (GTC) in Silicon Valley, the Oracle Cloud Infrastructure team is showcasing our work with these game-changing technologies. We're also talking about the many ways that NVIDIA's industry-leading graphics processing units (GPUs) can greatly accelerate these and other compute-intensive workloads in the cloud.
NVIDIA is the pioneer and undisputed leader in GPU technology. First-generation GPUs were designed primarily to render images and videos on computer screens. But it soon became clear that the highly parallelized nature of GPUs makes them especially well-suited for computationally intensive workloads and deep-learning algorithms.
Some of the major use cases for GPU technology include real-time data analysis, risk modeling, DNA sequencing, and an ever-growing list of machine learning and AI applications. Today, some of the most powerful supercomputers in the world depend on NVIDIA GPUs.
Oracle Cloud Infrastructure was designed to deliver the best performance for GPU-accelerated computing, and the Oracle team accomplished this in several ways:
Additionally, Oracle Cloud Infrastructure offers wide-ranging support for NVIDIA GPUs, including the high-performance NVIDIA Tesla P100 and V100 GPU instances that provide the highest ratio of CPU cores and RAM per GPU available. With a maximum of 52 physical CPU cores, 8 NVIDIA Volta V100 units per bare metal server, 768 GB of memory, and two 25 Gbps interfaces, these are the most powerful GPU instances on the market.
In addition to supporting the most powerful GPUs on the market, Oracle Cloud Infrastructure offers on-demand HPC infrastructure based on the most advanced compute, storage, and networking technologies—all at a fraction of the cost of building it yourself.
In the past, organizations were forced to run HPC applications on premises because first-generation clouds simply couldn't handle the load. That's not the case with Oracle's second-generation cloud. With a wide variety of compute options, networking innovations, unmatched security, and industry partnerships, Oracle Cloud Infrastructure can handle any and all HPC workloads.
For example, Oracle's bare metal cloud instances take advantage of clustered networking. As a result, enterprises don't need to run specialized networking equipment on premises to connect with HPC workloads in the cloud. Additionally, Oracle Cloud Infrastructure is the first public cloud with a high-bandwidth, low-latency, remote direct memory access (RDMA) network.
Another benefit of running HPC in the cloud is more efficient utilization of server resources. Many organizations invest heavily in on-premises HPC infrastructure only to find that those server farms rest idle for long periods of time until actual HPC activities occur. By deploying HPC on Oracle Cloud Infrastructure, organizations pay only for what they use, and performance is consistent.
Big data applications require clouds that offer elastic, high-performance compute, and infinitely scalable, independent storage. With its high-performing network, flexible compute shapes from virtual machines to bare metal instances, and multiple classes of storage, Oracle Cloud Infrastructure is built for big data.
Oracle enables customers to effectively analyze and gain valuable business insights from data across Apache Hadoop, Apache Kafka, NoSQL, and Oracle Databases. It's all available on demand with consistent, predictable performance, and cost-effective pricing.
Check out our website to learn more about how we help businesses run HPC and big data workloads in the cloud. And if you're at NVIDIA GTC, visit Oracle Cloud Infrastructure at booth 911 to see these technologies in action.