AI infrastructure
Run the most demanding AI workloads faster, including generative AI training and inference, scientific computing, and recommendation engines, anywhere in our distributed cloud. Use Oracle Cloud Infrastructure (OCI) Supercluster to scale up to 131,072 GPUs.
NVIDIA AI Enterprise on the OCI Console
Soon, you can accelerate AI development anywhere with one click from the OCI Console.
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
Leverage OCI File Storage with high performance mount targets (HPMTs) and Lustre (coming soon) for terabytes per second of throughput. Use up to 61.44 TB of NVMe storage, the highest in the industry for GPU instances.
Sovereign AI
Oracle’s distributed cloud enables you to deploy AI infrastructure anywhere to help meet performance, security, and AI sovereignty requirements. Learn how Oracle and NVIDIA deliver sovereign AI anywhere.
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 enable OCI Supercluster to scale up to 131,072 NVIDIA B200 GPUs, more than 100,000 Blackwell GPUs in NVIDIA Grace Blackwell Superchips, and 65,536 NVIDIA H200 GPUs.
Try-before-you-buy program for OCI Compute AMD with Instinct MI300X GPUs.
Explore OCI Supercluster for large-scale AI training
Massive scale-out clusters with NVIDIA Blackwell and Hopper
Supercharged compute
• Bare metal instances without any hypervisor overhead
• Accelerated by NVIDIA Blackwell (GB200 NVL72, HGX B200),
Hopper (H200, H100), and previous-generation 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: fully managed Lustre service (coming soon) and HPMT
with up to 80 Gb/sec of throughput
• 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 OCI Supercluster
OCI bare metal instances powered by NVIDIA GB200 NVL72, NVIDIA B200, NVIDIA H200, 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 more than 100,000 GB200 Superchips, 131,072 B200 GPUs, 65,536 H200 GPUs, 32,768 A100 GPUs, 16,384 H100 GPUs, 16,384 MI300X GPUs, and 3,840 L40S GPUs per cluster.
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Networking for OCI 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.
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Storage for OCI Supercluster
Through OCI Supercluster, customers can access local, block, object, and file storage for petabyte-scale 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.
For massive data sets, OCI offers high performance file storage with Lustre and mount targets. HPC file systems, including BeeGFS, GlusterFS, and WEKA, can be used for AI training at scale without compromising performance.
Zettascale OCI Superclusters
Watch OCI's top architects reveal how cluster networks power scalable generative AI. From a few GPUs to zettascale OCI Superclusters with more than 131,000 NVIDIA Blackwell GPUs, cluster networks deliver high speed, low latency, and a resilient network for your AI journey.
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
Access AI subject matter experts
Get help with building your next AI solution or deploying your workload on OCI AI infrastructure.
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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?
See how to apply AI today
Enter a new era of productivity with generative AI solutions for your business. Learn how Oracle helps customers leverage AI embedded across the full technology stack.
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What can you achieve with Oracle AI?
- Fine-tune LLMs in OCI
- Automate invoice processing
- Build a chatbot with RAG
- Summarize web content with generative AI
- And so much more!
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