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Online Inference

  • 3 companies
  • 1 projects

Human View is the term as people read it. Machine View is exactly what an AI agent receives.

This is the page you're already on. The Human View toggle above shows it in full.

This is exactly what an AI agent receives. The same record, as JSON-LD, below.

Use this record in your app or agent

CLI
di get-glossary --slug online-inference
REST
GET https://api.decisioninsights.ai/api/public/v1/glossary/0e491f93-9f48-4a9e-b40b-9be0d36d2565
Test via MCP
curl -X POST https://mcp.decisioninsights.ai/api/mcp-public \
  -H "content-type: application/json" \
  -H "accept: application/json, text/event-stream" \
  -d '{"id":1,"jsonrpc":"2.0","method":"tools/call","params":{"arguments":{"slug":"online-inference"},"name":"di_get_term"}}'

The CLI command and the REST call for this record need a free account: run di login, or send your OAuth token. Over MCP it is free with none.

A green key on the record, left, is one Decision Insights added. It doesn't exist on the company's site or in a wire feed. The same key labels its row on the right, so you can match them directly. More on how DI enriches a record.

The record

This is what the machine sees: the exact JSON-LD an agent receives for this listing.

DefinedTerm
{
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      "value": 1
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      "name": "Organizations tagged",
      "value": 3
    },
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      "@type": "PropertyValue",
      "name": "Organizations",
      "propertyID": "https://decisioninsights.ai/ns#taggedOrganizations",
      "value": [
        {
          "@id": "https://decisioninsights.ai/registry/arize-ai/#organization",
          "@type": "Organization",
          "mainEntityOfPage": "https://decisioninsights.ai/registry/arize-ai/",
          "name": "Arize AI"
        },
        {
          "@id": "https://decisioninsights.ai/registry/bentoml/#organization",
          "@type": "Organization",
          "mainEntityOfPage": "https://decisioninsights.ai/registry/bentoml/",
          "name": "BentoML"
        },
        {
          "@id": "https://decisioninsights.ai/registry/vespa/#organization",
          "@type": "Organization",
          "mainEntityOfPage": "https://decisioninsights.ai/registry/vespa/",
          "name": "Vespa"
        }
      ]
    },
    {
      "@type": "PropertyValue",
      "name": "Related terms",
      "valueReference": [
        {
          "@id": "https://decisioninsights.ai/term/machine-learning-inference/#definedterm",
          "@type": "DefinedTerm",
          "mainEntityOfPage": "https://decisioninsights.ai/term/machine-learning-inference/",
          "name": "Machine Learning Inference"
        },
        {
          "@id": "https://decisioninsights.ai/term/inference/#definedterm",
          "@type": "DefinedTerm",
          "mainEntityOfPage": "https://decisioninsights.ai/term/inference/",
          "name": "Inference"
        },
        {
          "@id": "https://decisioninsights.ai/term/model-inference/#definedterm",
          "@type": "DefinedTerm",
          "mainEntityOfPage": "https://decisioninsights.ai/term/model-inference/",
          "name": "Model Inference"
        },
        {
          "@id": "https://decisioninsights.ai/term/inference-optimization/#definedterm",
          "@type": "DefinedTerm",
          "mainEntityOfPage": "https://decisioninsights.ai/term/inference-optimization/",
          "name": "Inference Optimization"
        },
        {
          "@id": "https://decisioninsights.ai/term/inference-serving/#definedterm",
          "@type": "DefinedTerm",
          "mainEntityOfPage": "https://decisioninsights.ai/term/inference-serving/",
          "name": "Inference Serving"
        },
        {
          "@id": "https://decisioninsights.ai/term/inference-pipeline/#definedterm",
          "@type": "DefinedTerm",
          "mainEntityOfPage": "https://decisioninsights.ai/term/inference-pipeline/",
          "name": "Inference Pipeline"
        },
        {
          "@id": "https://decisioninsights.ai/term/serving-infrastructure/#definedterm",
          "@type": "DefinedTerm",
          "mainEntityOfPage": "https://decisioninsights.ai/term/serving-infrastructure/",
          "name": "Serving Infrastructure"
        },
        {
          "@id": "https://decisioninsights.ai/term/inductive-reasoning-engine/#definedterm",
          "@type": "DefinedTerm",
          "mainEntityOfPage": "https://decisioninsights.ai/term/inductive-reasoning-engine/",
          "name": "Inductive Reasoning Engine"
        }
      ]
    }
  ],
  "description": "Online inference is the execution of trained models on live, incoming data to produce real-time or near-real-time predictions within production systems, used by enterprises to support operational decisions, automated responses, and model-driven application behavior under defined performance and governance constraints.",
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    "@type": "DefinedTermSet",
    "url": "https://decisioninsights.ai/term/"
  },
  "name": "Online Inference",
  "url": "https://decisioninsights.ai/term/online-inference/"
}
WebSite
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  },
  "publisher": {
    "@id": "https://decisioninsights.ai/#organization"
  },
  "url": "https://decisioninsights.ai"
}
Organization
{
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  "@type": "Organization",
  "contactPoint": {
    "@type": "ContactPoint",
    "contactType": "customer support",
    "email": "[email protected]"
  },
  "description": "Decision Insights is a Registry of technology companies, open source projects, and industry terms, built for people and for AI agents that need sourced, structured information.",
  "logo": {
    "@type": "ImageObject",
    "url": "https://wiretap-cdn-assets.nyc3.cdn.digitaloceanspaces.com/decision-insights/[email protected]"
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  "name": "Decision Insights",
  "parentOrganization": {
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    "sameAs": [
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      "https://www.crunchbase.com/organization/wiretap-labs"
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    "url": "https://wiretaplabs.com"
  },
  "publishingPrinciples": "https://decisioninsights.ai/standards/",
  "sameAs": [
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}
BreadcrumbList
{
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      "position": 1
    },
    {
      "@type": "ListItem",
      "item": "https://decisioninsights.ai/term/",
      "name": "Glossary",
      "position": 2
    },
    {
      "@type": "ListItem",
      "item": "https://decisioninsights.ai/term/online-inference/",
      "name": "Online Inference",
      "position": 3
    }
  ]
}
CollectionPage
{
  "@context": "https://schema.org",
  "@id": "https://decisioninsights.ai/term/online-inference/",
  "@type": "CollectionPage",
  "dateModified": "2026-08-24T03:13:00Z",
  "description": "Online inference is the execution of trained models on live, incoming data to produce real-time or near-real-time predictions within production systems, used by enterprises to support operational decisions, automated responses, and model-driven application behavior under defined performance and governance constraints.",
  "isPartOf": {
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  },
  "mainEntity": {
    "@id": "https://decisioninsights.ai/term/online-inference/#definedterm"
  },
  "name": "Online Inference",
  "sdDatePublished": "2026-08-24",
  "sdPublisher": {
    "@id": "https://decisioninsights.ai/#organization"
  },
  "url": "https://decisioninsights.ai/term/online-inference/"
}
What we add

Counted facts

A dictionary definition doesn't say how often a term is actually used. This counts it across the graph -- articles that mention it, open source projects tagged with it, and the organizations tagged with it, listed here alongside the count. A term has no peer companies, and nothing here claims otherwise.

Open source projects 1 Organizations tagged 3 Organizations Arize AI, BentoML, Vespa Related terms