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Oracle Cloud Infrastructure offers exceptional performance, security, and control for today’s most demanding high-performance computing (HPC) workloads. For everything from crash simulations in the automotive industry to seismic analysis for oil and gas companies to special effects rendering for media companies, Oracle’s cloud-based infrastructure is enabling customers to solve complex technical problems—faster.
Compute, networking, and storage capabilities with the performance of onsite infrastructure.
Bare metal instances support applications requiring high core counts, large amounts of memory, and high memory bandwidth. Users can build cloud environments with significant performance improvements over other public clouds and onsite data centers. Bare metal compute instances provide customers with exceptional isolation, visibility, and control.
NVIDIA-based offerings provide a range of options for graphics-intensive workloads, along with the high performance demanded by AI and machine learning algorithms.
Virtual cloud networks enable you to easily move your existing network topology to the cloud.
Standard bare metal servers support dual 25 Gbps Ethernet for fast front-end access to your compute clusters.
Oracle's groundbreaking, back-end network fabric lets you use Mellanox's ConnectX-5, 100 Gbps network interface cards with RDMA over converged Ethernet (RoCE) v2 to create clusters with the same low-latency networking and application scalability that you expect on premise.
Oracle provides several high-performance storage options suitable for HPC workloads.
Local NVMe SSD: High-speed local flash storage ideal for large databases, high performance computing (HPC), and big data workloads such as Apache Spark and Hadoop.
Block volumes: Standard block storage services offering 60 IOPS per Gb, up to a maximum of 32,000 IOPS per volume, backed by Oracle's highest performance SLA.
Parallel file systems: HPC requires larger data sets and higher performance than standard enterprise file servers can provide. Customers often build their own parallel file systems either on premise or in the cloud using open source software such as Lustre.
"What we really like about the bare metal offering from Oracle is that there is very little technology between us and the hardware."
-David Standingford Director and Cofounder, Zenotech
"By accessing the power of Oracle Cloud Infrastructure we have been able to render in half the time that we have been able to see with other providers."
-Simon Ponsford, Chief Technical Officer, Yellowdog
"We find that access to GPU compute resources can be challenging for our customers. The integration with Oracle’s cloud platform addresses this challenge, and provides customers the ability to use GPU-based solvers in the cloud for accelerated performance without the need to purchase expensive hardware."
Sam Mahalingam, Chief Technical Officer for Enterprise Solutions at Altair
"Matching cutting-edge synthetic biology with cloud computing turned out to be a winner."
Fred Garzoni, founder of Imophoron
The HPC market is at a tipping point with cloud adoption. Oracle Cloud Infrastructure's new bare metal offering is a compelling proof-point that the HPC market is turning and cloud offerings have real momentum.Shawn Hansen, COO of Rescale
With clustered network setups, … customers can run workloads like DNA sequencing, car crash simulations, oil reservoir explorations, and more in the cloud cost-efficiently.Clay Magouyrk, senior vice president of Oracle Cloud Infrastructure
Oracle continues to add partners to our HPC ecosystem. Oracle has been an ANSYS Preferred Solution Partner since 2018, so you can build HPC solutions with ANSYS on Oracle Cloud Infrastructure with confidence.
TotalCAE has partnered with Oracle to add new capabilities to TotalCAE’s Simulation as a Service high performance computing (HPC) cloud platform utilizing Oracle Cloud Infrastructure.
Univa® Grid Engine® is a distributed resource management system that optimizes resources in HPC clusters by transparently selecting the resources that are best suited for each segment of work.