Oracle Cloud Infrastructure (OCI) Compute provides bare metal and virtual machine instances powered by NVIDIA GPUs for a variety of use cases, including mainstream graphics and videos as well as the most demanding AI training and HPC workloads. OCI excels at both training time and cost compared to Amazon Web Services (AWS) and Google Cloud Platform (GCP) because of its ultralow latency and near line-rate network performance.
Remote direct memory access (RDMA) communication between instances supports large GPU clusters with 3,200 Gb/sec of bandwidth and ultralow latency.
Bare metal compute instances allow customers to run high performance, latency-sensitive, and specialized workloads directly on server hardware—just as they would on-premises.
Oracle’s ultralow-latency cluster networking, based on RDMA, provides microsecond-level latency. Without compromising on performance, customers can host clusters with 512 or fewer GPUs and OCI Superclusters with more than 512 GPUs.
Match your workload with the best instance type to find your ideal fit.
For VMs, choose from NVIDIA Ampere, Volta, and Pascal GPUs with one to four cores, 16 to 64 GB of GPU memory, and up to 480 GB of locally attached flash storage.
Cluster bare metal instances for HPC and AI training using NVIDIA H100 or A100 Tensor Core GPUs with 640 GB of GPU memory per node.
Prevent attacks on customer tenancies with isolated network virtualization. A foundational element of Oracle Cloud Infrastructure’s security-first architecture, the design stops malware in its tracks with a custom-designed SmartNIC to isolate and virtualize the network.
Using easy-to-define policies organized by logical groups of users and resources, control not only who has access to Oracle Cloud Infrastructure resources but which ones and the access type. Customers manage identities and grant access by leveraging existing organizational hierarchies and federated directory services, including Microsoft, Okta, and other SAML directory providers.
Reduce the risk of firmware-based attacks against Oracle Cloud Infrastructure customer tenants with custom-built, hardware-based, root-of-trust-technology designed to wipe and reinstall the firmware every time a new server is provisioned or a new customer tenancy is established.
Protect applications from malicious and unwanted internet traffic with a cloud-based, PCI-compliant, global web application firewall (WAF) service. By combining threat intelligence with consistent rule enforcement, this service strengthens defenses and protects internet-facing application servers.
Centrally manage and maintain control of the encryption keys and secret credentials used to protect enterprise data and access resources. The security for both are stored in Federal Information Processing Standards (FIPS) 140-2, Level 3-certified, hardware security module (HSM).
Oracle supports an extensive list of Microsoft Windows Server and enterprise Linux operating systems, including Oracle Linux, CentOS, Ubuntu, and many others. Oracle Autonomous Linux is a free, autonomous operating environment that reduces complexity and human error to deliver increased cost savings, security, and availability.
The OCI OS Management service allows customers to set policies for automated updates and patches for their operating system environment.
Customers can run their own operating systems and hypervisors on Oracle compute instances and use the same image across configuration sizes.
Oracle Cloud Marketplace provides software and disk images for data science, analytics, artificial intelligence (AI), and machine learning (ML) models so customers can quickly gain insight from their data.
Access hundreds of GPU-optimized applications for machine learning, deep learning, and high performance computing covering a wide range of industries and workloads. Learn more.
Developers building applications using containers leverage a highly available, Oracle-managed private container registry service for storing and sharing container images. Push or pull Docker images to and from the registry using the Docker V2 API and the standard Docker command line interface (CLI). Images can be pulled directly into a Kubernetes deployment.
Functions as a service (FaaS) lets developers run serverless applications that integrate with Oracle Cloud Infrastructure, Oracle Cloud Applications, and third-party services. Gain developer efficiency along with the community of the open source Fn Project.
Train AI models using OCI Data Science, bare metal instances, cluster networking based on RDMA, and NVIDIA GPUs.
OCI Compute powered by NVIDIA GPUs provide consistent high performance for VDI.
OCI enables computer-aided engineering and computational fluid dynamics for fast predictions of the aerodynamic properties of objects.
“With the scalability and computing power of OCI and NVIDIA technology, we are training a neural network to use every software application, website, and API in existence—building on the capabilities that software makers have already created.”
David Luan, CEO
“Oracle Cloud Infrastructure allows us to process tens of thousands of models, so we can train our algorithms very quickly. It’s one of the best platforms in the world for the type of work we do.”
James Kelloway, Energy Intelligence Manager
National Grid ESO
“We view this relationship with OCI as long term. We’re excited about taking advantage of the GPUs and using that to train our next generation of voice AI. There's a lot that we think that OCI will provide for us in terms of future growth.”
James Hom, Cofounder and Vice President of Products
“Softdrive is the future of business computers. In the cloud PC market, performance means everything. NVIDIA GPUs on OCI bare metal servers have dramatically improved the experience for our customers.”
Leonard Ivey, Cofounder
“With NVIDIA GPUs running on OCI bare metal instances, Twist experiences significant performance improvements across its ParaFold and ESMFold AI models.”
“Oracle Cloud Infrastructure is a top tier Hyperscaler cloud that provides XaaS compute and application services to Oracle customers, and offers a lot more than you might expect, including AI/ML and GPU workloads.”
Senior Technical Marketing Manager, WEKA
“Since moving off AWS, we have quadrupled our data footprint while reducing our costs by 40%. We use 33% less GPU compute capacity on OCI than AWS.”
Suren Gounder, CEO
“The integration with Oracle’s cloud platform provides us with state-of-the-art GPU compute resources, world-class security, and highly flexible VMware environments. Ultimately, this leads to improved productivity, optimized resource utilization, and faster time to market.”
Sam Mahalingam, Chief Technology Officer
Sagar Rawal, Vice President, Oracle Cloud Infrastructure
Today at SC23, we’re announcing our upcoming plans to offer Oracle Cloud Infrastructure (OCI) Compute instances powered by the NVIDIA GH200 Grace Hopper Superchip. The GH200 consists of an Arm CPU (Grace) linked to an NVIDIA H100 Tensor Core GPU (Hopper) with a high-bandwidth memory space of 576 GB.Read the complete post
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The best way to learn is to try it yourself. Use our tutorials and hands-on labs with the Oracle Cloud Free Tier, your own Oracle Cloud tenancy, or for selected solutions in an Oracle-provided free lab environment.
In this lab you will deploy web servers on two compute instances in Oracle Cloud Infrastructure (OCI), configured in High Availability mode by using a Load Balancer.Start this lab now
Explore basic OCI services, including Compute, Networking, and Storage.Start this lab now
In this lab you will deploy a Container Engine for Kubernetes cluster, connect to it, and run a sample application using OCI CLI.Start this lab now
Explore how to migrate Tomcat to Oracle Cloud Infrastructure and connect to an Autonomous Database.Start this lab now
Learn more about preemptible capacity, burstable instances, autoscaling, GPUs, flexible computing, and more.
See how our architects and other customers deploy a wide range of workloads, from enterprise apps to HPC, from microservices to data lakes. Understand the best practices, hear from other customer architects in our Built & Deployed series, and even deploy many workloads with our "click to deploy" capability—or do it yourself from our GitHub repo.
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