OCI Generative AI Dedicated AI Cluster
Single-tenant GPU capacity that hosts model endpoints or runs fine-tuning.
- Provider
- oci
- Kind
- ML inference
- Category
- Compute
| property | type | values | required | kind default | this component |
|---|---|---|---|---|---|
| accelerator | enum | none | gpu | asic | no | none | ▸ gpu |
| acceleratorModel | enum | nvidia-h100 | nvidia-h200 | nvidia-b200 | nvidia-l4 | nvidia-a100 | amd-mi300x | aws-trainium | aws-inferentia | google-tpu | intel-gaudi | groq-lpu | cerebras-wse | no | — | inherited |
| clusterType | enum | hosting | fine-tuning | no | — | inherited |
| embeddingSyncMinutes | integer | — | no | — | inherited |
| inputs | enum | live | historical | both | no | live | ▸ live |
| instances | integer | — | no | — | ▸ 1 |
| managed | boolean | — | no | false | ▸ true |
| minimumCommitmentUnitHours | integer | — | no | 744 | inherited |
| singleTenant | boolean | — | no | true | inherited |
| snapshotToObjectStore | boolean | — | no | false | inherited |
| training | enum | batch | online | no | batch | ▸ batch |
| unitCount | integer | — | no | 1 | inherited |
| unitShape | string | — | no | H100_X1 | inherited |
Every rule whose selector covers this component's kind or its category. Whether a rule fires depends on the design: its properties, its edges and its groups.
stateful-node-without-zone-redundancy
A stateful compute node pinned to exactly one availability zone disappears with that zone, and its state goes with it. Nodes inside a cell are exempt, because there the cell is deliberately single-zone and redundancy comes from the other cells.
- — all of these hold:
- — the node's `stateless` is false
- — the node sits inside exactly 1 availability-zone group
- — this does not hold:
- — the node sits inside at least one cell group
nodes:
- { id: "generative-ai-cluster", component: "oci-generative-ai-cluster" }SageMaker endpointsagemaker-endpointAzure ML endpointazure-ml-endpointWorkers AIcloudflare-workers-aiAnyscale Endpointsanyscale-endpointsBananabanana-devBasetenbasetenBeambeam-cloudBentoMLbentomlHugging Face Inference Endpointshuggingface-inferenceInfinityinfinity-embeddingsJanjanKServekservellama.cpp serverllama-cpp-serverllm-dllm-dLM Studiolm-studioLMDeploylmdeployLocalAIlocalaiGeneric ML inferenceml-inferenceMLC LLMmlc-llmModalmodalMystic AImystic-aiNVIDIA NIM (self-hosted)nvidia-nimOctoAIoctoaiOllamaollamaRay Serveray-serveSeldon Coreseldon-coreSGLangsglangTensorFlow Servingtensorflow-servingTensorRT-LLMtensorrt-llmText Embeddings Inferencetext-embeddings-inferenceText Generation Inferencetext-generation-inferenceTorchServetorchserveNVIDIA TritontritonvLLMvllmXinferencexinferenceVertex AI endpointvertex-ai-endpointOCI Data Science Model Deploymentoci-data-science-model-deployment
# yaml-language-server: $schema=../../schema/component.schema.json # Oracle OCI Generative AI dedicated AI cluster: single-tenant GPU capacity that hosts model # endpoints or runs fine-tuning. "Creating a Dedicated AI Cluster for Hosting Models": one unit # is created by default, each extra model replica needs another unit, unit shapes are named # instance type plus card count (H100_X1), and hosting a pretrained model commits 744 unit-hours. schemaVersion: "1" type: "component" id: "oci-generative-ai-cluster" kind: "ml-inference" provider: "oci" docs: "https://docs.oracle.com/en-us/iaas/Content/generative-ai/create-ai-cluster-hosting.htm" defaults: accelerator: "gpu" instances: 1 training: "batch" inputs: "live" managed: true properties: clusterType: type: "enum" values: ["hosting", "fine-tuning"] unitShape: type: "string" default: "H100_X1" unitCount: type: "integer" default: 1 minimumCommitmentUnitHours: type: "integer" default: 744 singleTenant: type: "boolean" default: true