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AI Knowledge Base · AI Cloud Platforms · Hyperscalers

Oracle Cloud Infrastructure

Bare-metal GPU superclusters and OCI Generative AI.

Het meest geschikt voor: Large training clusters on bare metal, and organisations already running Oracle databases and applications.

Workflow: a workload on OKE authenticates with an OCI IAM instance or resource principal, then uses private service access to reach OCI Generative AI or dedicated bare-metal GPU hosts, with keys in OCI Vault.
The request path on Oracle Cloud: an instance or resource principal means the workload holds no stored keys. Private service access leads to OCI Generative AI (Cohere and Meta models) or to dedicated bare-metal GPU hosts; OCI Vault holds the customer-managed keys.

AI services

  • OCI Generative AI with Cohere and Meta models, agents and RAG.
  • Oracle Database 23ai with built-in vector search.

GPUs and accelerators

  • Bare-metal NVIDIA H100, H200, B200 and GB200 instances, and AMD Instinct options.
  • OCI Supercluster with RDMA cluster networking for very large training jobs.

Agents and identity

  • OCI IAM with instance and resource principals, so workloads authenticate without stored keys.

Security and data

  • Dedicated bare-metal hosts, customer-managed keys in OCI Vault, and private service access.

Scaling and optimisation

  • Supercluster scale-out for training; OKE (Kubernetes) for inference fleets.

UK and EU regions

London and Newport (Wales) regions, plus EU regions.

Watch out for

GPU capacity is often reserved in advance; plan contracts with the training timeline.

How Workstation helps: We size and run OCI GPU clusters and integrate them with your data and on-premises systems.

Scaling AI at large scale with Amazon Bedrock →CI/CD for LLMs, agents and data in the cloud →Securing LLM and agent APIs →The AI agent harness →Identity and authentication for AI →

Talk to a cloud engineer →Ask the AI Sales Engineer ↗← All AI cloud platforms

Other providers we work with

AWSGoogle CloudAzureCoreWeaveLambdaNebiusDigitalOceanVast.aiRunPod

Logos are trademarks of their respective owners, used only to identify each platform, and come from Wikimedia Commons. Diagrams by the Workstation team.