# UbiOps Model serving and orchestration for AI teams deploying workloads across cloud and private infrastructure. - Findings24: - ウェブサイト: - 料金: Freemium - カテゴリー: AI推論プラットフォーム, AIモデルデプロイメント ## UbiOpsとは？ UbiOps is an AI model-serving and orchestration platform for deploying and operating machine-learning workloads. It provides a central control plane for running models and workflows across local, on-premises, private-cloud, public-cloud, hybrid, and multi-cloud environments, so teams can manage deployments without directly operating Kubernetes infrastructure. The platform supports the path from model deployment to production application: models can be exposed as APIs, grouped into modular workflows, and managed with versioning, scaling, monitoring, and access controls. UbiOps is offered as a hosted cloud service connected to a chosen compute environment, or as a privately installed and managed deployment. ## UbiOpsでできること ### Deploy models as APIs Serve AI and machine-learning models as services through managed APIs, with version management and rollback to support model updates. ### Orchestrate across compute environments Connect local, cloud, and private infrastructure into a shared pool of compute resources; the control plane coordinates workloads and capacity. ### Build modular workflows Combine deployments into pipelines with a separate API for each workflow. Workflow components run as isolated services and can scale independently; pipelines support conditional logic and reusable sub-pipelines. ### Scale workloads dynamically Use automated scaling, traffic load balancing, and scale-to-zero for model inference, while allocating compute for longer-running training jobs. ### Monitor and govern deployments Review logs, usage and performance metrics, configure alerts, and use auditing, permissions, and access controls to manage deployments and workflows. ### Run generative AI workloads Deploy foundation models and private LLM services, with support described for streaming, concurrency, retrieval-augmented generation (RAG), fine-tuning, and agents. ## 利用シーン ### Serve computer-vision models Deploy vision models as services for applications that need responsive inference and changing compute demand, including workloads that use GPUs. ### Operate private LLM applications Run generative AI models on selected private, on-premises, or hybrid infrastructure when teams need to control where data is processed. ### Connect multi-step AI applications Create pipelines that route data through multiple model deployments, add conditional logic, and combine reusable components behind a workflow API. ### Move models from pilot to production Give AI and IT teams a managed path to deploy, version, monitor, and scale models as operational services rather than maintaining deployment infrastructure themselves. ## よくある質問 ### Which infrastructure can UbiOps run on? UbiOps describes deployments across local, on-premises, public-cloud, private-cloud, hybrid, and multi-cloud environments. It can orchestrate workloads across Kubernetes, virtual machines, and bare-metal infrastructure. ### How is UbiOps offered? UbiOps Cloud is hosted by UbiOps and can connect to a selected compute environment. UbiOps Private is installed and managed in the customer's private environment. ### Can a model or workflow be exposed through an API? Yes. Models can be deployed as inference APIs, and each pipeline workflow receives its own API. ### Does UbiOps support generative AI workloads? Yes. The product describes deployment of foundation models and private LLM services, with functionality for streaming, concurrency, RAG systems, fine-tuning, and agents. ### How is pricing handled? The pricing page describes UbiOps Cloud with on-demand compute billed per use. It does not publish a specific price in the supplied page text; UbiOps Private is presented through an expert contact flow. ## クイック情報 - **Product category**: AI model serving and orchestration platform - **Primary users**: AI, machine-learning, and IT teams - **Deployment options**: UbiOps Cloud or privately installed UbiOps - **Infrastructure scope**: Local, on-premises, public cloud, private cloud, hybrid, and multi-cloud - **Workflow output**: Model services and pipeline APIs - **Cloud billing**: On-demand compute, billed per use