AI infrastructure
Run the most demanding AI workloads faster, including generative AI, computer vision, and predictive analytics, anywhere in our distributed cloud. Use Oracle Cloud Infrastructure (OCI) Supercluster to scale up to 65,536 GPUs today and 131,072 GPUs soon.*
Why run on OCI AI infrastructure?
Performance and value
Boost AI training with OCI’s unique GPU bare metal instances and ultrafast RDMA cluster networking that reduce latency to as little as 2.5 microseconds. Get up to 220% better pricing on GPU VMs than with other cloud providers.
HPC storage
Take advantage of high performance mount targets (HPMTs) for up to 500 Gb/sec of sustained throughput. Use 61.44 TB of local storage capacity, the highest in the industry for instances with NVIDIA H100 GPUs.
Sovereign AI
Oracle’s distributed cloud enables you to deploy AI infrastructure anywhere to help meet performance, security and AI sovereignty requirements.
The image shows boxes that represent compute and storage, connected by lines for cluster networking. On the far left, there are four boxes of compute and two for storage for the smallest cluster with 16,000 NVIDIA H100 GPUs. To its right there are 8 boxes of compute and 4 boxes of storage for 32,000 NVIDIA A100 GPUs in a cluster. Next, there are 16 boxes of compute and 8 boxes of storage for 64,000 NVIDIA H200 GPUs. Finally, to the far right, there are 32 boxes of compute and 16 boxes of storage for 128,000 NVIDIA Blackwell and Grace Blackwell GPUs. This shows scalability of OCI Supercluster increasing by 8X from the smallest 16,000 GPU configuration on the far left to the largest 128,000 GPU configuration on the far right.
OCI Supercluster with NVIDIA Blackwell and Hopper GPUs
Up to 131,072 GPUs, 8X more scalability
Network fabric innovations will enable OCI Supercluster to scale up to 131,072 NVIDIA B200 GPUs and more than 100,000 Blackwell GPUs in NVIDIA Grace Blackwell Superchips. OCI Supercluster scales up to 65,536 NVIDIA H200 GPUs today.
OCI AI infrastructure for all your needs
Whether you’re looking to perform inferencing or fine-tuning or train large scale-out models for generative AI, OCI offers industry-leading bare metal and virtual machine GPU cluster options powered by an ultrahigh-bandwidth network and high performance storage to fit your AI needs.
AI innovators leverage OCI to host, train, and inference next-generation AI models.
Explore OCI Supercluster for large-scale AI training
Available now: Massive scale-out clusters with NVIDIA H100, A100, and L40S GPUs
Supercharged compute
• Bare metal instances without any hypervisor overhead
• Accelerated by NVIDIA H200, H100, L40S, and A100 GPUs
• Option to use AMD MI300X GPUs
• Data processing unit (DPU) for built-in hardware acceleration
Massive capacity and high-throughput storage
• Local storage: up to 61.44 TB of NVMe SSD capacity
• File storage: high performance mount target (HPMT) with up to 80 Gb/sec of throughput (now GA) and fully managed Lustre service (coming soon)
• Block storage: balanced, higher performance, and ultrahigh performance volumes with a performance SLA
• Object storage: distinct storage class tiers, bucket replication, and high capacity limits
Ultrafast networking
• Custom-designed RDMA over Converged Ethernet protocol (RoCE v2)
• 2.5 to 9.1 microseconds of latency for cluster networking
• Up to 3,200 Gb/sec of cluster network bandwidth
• Up to 200 Gb/sec of front-end network bandwidth
Compute for Supercluster
OCI bare metal instances powered by AMD MI300X, NVIDIA L40S, NVIDIA H100, and NVIDIA A100 GPUs let you run large AI models for use cases that include deep learning, conversational AI, and generative AI. With OCI Supercluster, you can scale up to 32,768 A100 GPUs, 16,384 H100 GPUs, 16,384 MI300X GPUs, and 3,840 L40S GPUs per cluster.
Enlarge+
Networking for Supercluster
High-speed RDMA cluster networking powered by NVIDIA ConnectX network interface cards with RDMA over Converged Ethernet version 2 lets you create large clusters of GPU instances with the same ultralow-latency networking and application scalability you expect on-premises.
You don’t pay extra for RDMA capability, block storage, or network bandwidth, and the first 10 TB of egress is free.
Enlarge+
Storage for OCI Supercluster
Through OCI Supercluster, customers can access local, block, object, and file storage for exascale computing. Among major cloud providers, OCI offers the highest capacity of high performance local NVMe storage for more frequent checkpointing during training runs, resulting in faster recovery from failures.
HPC file systems, including BeeGFS, GlusterFS, Lustre, and WEKA, can be used for AI training at scale without compromising performance.
How OCI Supercluster works
Watch Chief Technical Architect Pradeep Vincent explain how OCI Supercluster powers the training and inferencing of machine learning models, scaling to tens of thousands of NVIDIA GPUs.
Typical AI infrastructure use cases
- Deep learning training and inferencing
- Fraud detection augmented by AI
- AI-based medical image analysis
- Using AI to accelerate drug discovery
Train AI models on OCI bare metal instances powered by GPUs, RDMA cluster networking, and OCI Data Science.
Protecting the billions of financial transactions that happen every day requires enhanced AI tools that can analyze large amounts of historical customer data. AI models running on OCI Compute powered by NVIDIA GPUs along with model management tools such as OCI Data Science and other open source models help financial institutions mitigate fraud.
AI is often used to analyze various types of medical images (such as X-rays and MRIs) in a hospital. Trained models can help prioritize cases that need immediate review by a radiologist and report conclusive results on others.
Drug discovery is a time consuming and expensive process that can take many years and cost millions of dollars. By leveraging AI infrastructure and analytics, researchers can accelerate drug discovery. Additionally, OCI Compute powered by NVIDIA GPUs along with AI workflow management tools such as BioNeMo enables customers to curate and preprocess their data.
AI infrastructure customer successes
Get started with OCI AI infrastructure
Try Oracle AI and get a 30-day trial
Oracle offers a free pricing tier for most AI services as well as a free trial account with US$300 in credits to try additional cloud services. AI services are a collection of offerings, including generative AI, with prebuilt machine learning models that make it easier for developers to apply AI to applications and business operations.
-
Which Oracle AI and ML services offer a free pricing tier?
- OCI Speech
- OCI Language
- OCI Vision
- OCI Document Understanding
- Machine Learning in Oracle Database
- OCI Data Labeling
You also only have to pay compute and storage charges for OCI Data Science.
Additional resources
Learn more about RDMA cluster networking, GPU instances, bare metal servers, and more.
See how much you can save with OCI
Oracle Cloud pricing is simple, with consistent low pricing worldwide, supporting a wide range of use cases. To estimate your low rate, check out the cost estimator and configure the services to suit your needs.
Experience the difference
- 1/4 the outbound bandwidth costs
- 3X the compute price-performance
- Same low price in every region
- Low pricing without long term commitments
Access AI subject matter experts
Get help with building your next AI solution or deploying your workload on OCI AI infrastructure.
-
They can answer questions such as
- How do I get started with Oracle Cloud?
- What kinds of AI workloads can I run on OCI?
- What types of AI services does OCI offer?