---
格式版本: 2
标题: "Oracle powers AI with Kubernetes kick"
原文链接: "https://www.sdxcentral.com/news/oracle-powers-ai-with-kubernetes-kick/"
发布日期: "2026-08-12"
发布时间校准状态: "found"
发布时间需复核: "否"
发布时间来源: "llm:local:strict_original_body"
发布时间证据: "August 12, 2026 ByGiacomo \"Jack\" LeeHave your say"
发布时间校准原因: "正文标题下方明确标注发布时间为 August 12, 2026，且与作者信息同时出现，属于文章发布元数据。"
发布时间校准置信度: "1"
发布时间候选数量: 38
发布时间严格候选数量: 15
发布时间原页读取状态: "source template page reused from URL open"
发布时间未找到原因: ""
发布时间校准时间: "2026-08-28T16:25:33+08:00"
发布时间仲裁状态: "confirmed"
发布时间仲裁尝试次数: 1
发布时间仲裁耗时毫秒: 97521
发现时间: "2026-08-28T16:22:31+08:00"
入库时间: "2026-08-28T08:27:56.358Z"
来源平台: "SDxCentral 搜索"
搜索渠道: "source_template"
搜索词: "site:sdxcentral.com Oracle"
匹配关键词:
  - "AI"
  - "GPU"
  - "deployment"
相关厂家:
  - "Oracle"
  - "Meta"
  - "Google"
相关专家:
  []
内容类型: "网页"
抓取工具: "Jina Reader"
清洗工具: "Jina Reader Markdown + Defuddle/Readability 正文提取"
原始附件:
  []
AI优质: "否"
AI打分: 51
AI分档: "非优质"
AI质检状态: "不通过"
AI打分理由: "正文主线是Oracle AI Database Operator for Kubernetes v2.2.0的数据库运维自动化及OpenShift on OCI自动扩缩容，并非机架级AI基础设施。SDxCentral属于专业媒体，正文完整；固定知识库未见同一版本事件，但不能据此认定首次出现。可核验新增包括PrivateAI控制器、vLLM/GPU部署支持、True Cache连接方式、CMAN预览及OpenShift 4.22以上自动扩缩容，但没有新AI机架硬件、互连/供电/液冷路线、客户规模部署或量产信号。命中单厂商管理与生态集成类否决项，且缺少正式机架级标准、生产基准或部署里程碑。"
AI质检模型: "gpt-5.6-sol"
AI质检时间: "2026-08-28T16:28:06+08:00"
AI主题相关性: 5
AI来源权威性: 10
AI新颖性: 12
AI技术细节: 13
AI商业部署信号: 2
AI完整性: 9
AI评分提示词版本: "v17-精简生产版"
AI评分提示词SHA256: "48fb9777f386026761b4873eaff30807694fb11e9b352d7c69bf2dfde750cc7d"
AI评分知识库版本: "knowledge_base_v1-20260819+runtime.18"
AI评分知识库SHA256: "529905ea2a7a1b01b1a4ff01572528e2b6f0f5b2057e7bc6d264edb6520235a8"
AI评分知识库检索词: "[\"Oracle\",\"site:sdxcentral.com Oracle\",\"RAS\",\"GPU\",\"Google\",\"Meta\",\"URL\",\"RAC\",\"HTTP\",\"HTTPS\",\"SDxCentral\",\"LDN\"]"
AI评分知识库命中: "[{\"id\":\"runtime-3dcabc270e938e0c3b6d5245\",\"title\":\"Nvidia wants to bypass the CPU with an open-source AI storage overhaul\",\"sourceType\":\"ai_excellent_article\",\"time\":\"2026-08-06\",\"matchedTerms\":[\"RAS\",\"GPU\",\"Google\",\"Meta\",\"URL\",\"RAC\",\"HTTP\",\"HTTPS\",\"SDxCentral\",\"LDN\"],\"rank\":-18.052925061975273},{\"id\":\"runtime-bfe02a4bdf19930993595f4a\",\"title\":\"SK Hynix, Sandisk unveil first standard for high-bandwidth flash\",\"sourceType\":\"ai_excellent_article\",\"time\":\"2026-08-04\",\"matchedTerms\":[\"RAS\",\"GPU\",\"Google\",\"Meta\",\"URL\",\"HTTP\",\"HTTPS\",\"SDxCentral\",\"LDN\"],\"rank\":-16.94928287045558},{\"id\":\"runtime-5095d81c147567ab9111181d\",\"title\":\"Meta’s custom transport protocol embraces packet chaos to boost AI throughput\",\"sourceType\":\"ai_excellent_article\",\"time\":\"\",\"matchedTerms\":[\"RAS\",\"GPU\",\"Meta\",\"URL\",\"RAC\",\"HTTP\",\"HTTPS\",\"SDxCentral\",\"LDN\"],\"rank\":-16.80560603961238},{\"id\":\"july-correct-0018\",\"title\":\"AMD, Cerebras partner on joint Helios rack-scale AI inference platform\",\"sourceType\":\"labeled_article\",\"time\":\"2026-07\",\"matchedTerms\":[\"Oracle\",\"RAS\",\"GPU\",\"Meta\",\"URL\",\"RAC\",\"HTTP\",\"HTTPS\",\"SDxCentral\"],\"rank\":-14.633330555744287},{\"id\":\"runtime-b8cb239421f6cc07f924a9d9\",\"title\":\"Ex-Aruba CTO unveils optical startup armed with $900M to scale AI interconnectivity\",\"sourceType\":\"ai_excellent_article\",\"time\":\"2026-08-07\",\"matchedTerms\":[\"RAS\",\"GPU\",\"Meta\",\"URL\",\"HTTP\",\"HTTPS\",\"SDxCentral\",\"LDN\"],\"rank\":-14.203820872944133}]"
AI摘要: "Oracle发布AI Database Operator for Kubernetes v2.2.0，扩展Kubernetes原生数据库运维自动化，涵盖Oracle Autonomous AI Database的备份恢复。"
AI摘要模型: "ali-deepseek-v4-flash"
AI摘要时间: "2026-09-07T02:08:38.720Z"
采集批次: "2026年8月28日16点22分01秒"
采集批次ID: "20260828-162201-542"
去重键: "https://www.sdxcentral.com/news/oracle-powers-ai-with-kubernetes-kick"
---

Title: Oracle powers AI with Kubernetes kick

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# Oracle powers AI with Kubernetes kick

Red Hat OpenShift link also sees expansion

August 12, 2026 By[Giacomo "Jack" Lee](https://www.sdxcentral.com/profile/giacomo-lee/)[Have your say](https://www.sdxcentral.com/news/oracle-powers-ai-with-kubernetes-kick/#comments)

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![Image 3: Oracle sdx crop](./assets/img-e86d7a5a.webp)

– Sundry Photography/Getty Images

Oracle beefed up its Kubernetes automation provision through its AI database suite and a new Red Hat partnership.

The updates are led by Oracle AI Database Operator for Kubernetes v2.2.0, which aims to standardize database operations with Kubernetes-centric patterns.

Oracle's new tool expands life cycle automation and reconciliation for Oracle Autonomous AI Database, across infrastructure components, backup, restore, and multitenant workloads, with finalizer-based cleanup support for improved resource life cycle management. Broader automation is also possible for single-instance databases, and Oracle's Real Application Clusters (RAC), Globally Distributed AI Database, Restart, and Data Guard Broker topologies.

Oracle RAC specifically touts improved Oracle Automatic Storage Management (ASM) life cycle management, incorporating disk and persistent volume chain (PVC) provisioning and validation. Oracle Restart introduces phased reconciliation across validation, storage, workload deployment, and finalization, and supports both static and dynamic persistent volume (PV) and PVC handling.

In another development, Oracle True Cache connects the cache provision to databases in the same Kubernetes cluster, a separate cluster, or externally. With it, the operator can generate the required configuration blobs and ConfigMaps while utilizing service registration, external-access options, validation, life cycle controls, transmission control protocol (TCP), and TCP with secure socket layer/transactions per second (SSL/TPS) connectivity.

## Oracle AI Database Operator for Kubernetes v2.2.0: under the hood

Further details on Oracle's updated Database Operator revealed improved multitenant flexibility via controller-based internal communication and configuration. This comes from the addition of pluggable database (PDB) application-user creation through Kubernetes Secrets, reconciliation of PDB initialization parameters, simpler reset-bitmask status handling, and support for loading transparent network substrate (TNS) topology.

A new PrivateAI controller adds phased dependency and workload reconciliation, update-lock status, and rollout tracking. It also supports TLS-secret life cycle management, virtual large language model (vLLM), and graphics processing unit (GPU)-based deployments, giving private AI services more Kubernetes-native operational control.

Oracle's REST Data Services (ORDS) now support HTTP-only edge deployments, forward and persist HTTP access logs, and bootstrap through the Instance API. Teams can also configure resource limits, metadata and Java virtual machine (JVM) options through the Kubernetes operating model.

The solution also includes a new networking preview as part of improved security and observability in the package, including secure HTTPS diagnostics, a bolstered manager security context, expanded role-based access control (RBAC) and webhooks, alongside broader test coverage.

Finally, a preview of Oracle Connection Manager Controller supports Oracle Connection Manager (CMAN) endpoints and generated routing rules.

## Under the Hat

Red Hat OpenShift on Oracle Cloud Infrastructure (OCI) was also expanded with autoscaling support to help adjust worker capacity automatically as application demand changes. The updates are available for OpenShift 4.22 and later versions.

"Autoscaling for OpenShift on OCI drives the standard OpenShift autoscaling machinery rather than replacing it, and operates alongside the autoscaling controls you already use," Oracle Senior Software Engineer YuTing Peng explained. "When pods cannot be scheduled, the cluster autoscaler increases the replica count on the relevant machine deployment. Cluster API creates the corresponding machine and machine set resources, and the Cluster API Provider for OCI provisions the OCI compute instances behind them. You set the boundaries once, on an OCIClusterAutoscaler custom resource that carries minNodes and maxNodes, and the existing controllers do the rest."

The OpenShift update comes alongside Red Hat compatibility with the aforementioned AI Database Operator Kubernetes updates, which also support Oracle Linux Cloud Native Environment, Google Kubernetes Engine (GKE), Azure Kubernetes Service (AKS), and Amazon Elastic Kubernetes Service (EKS).

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