Accelerator Module
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
di get-glossary --slug accelerator-module
GET https://api.decisioninsights.ai/api/public/v1/glossary/59641969-41e5-4448-a985-422c53780dc7
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":"accelerator-module"},"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.
This is what the machine sees: the exact JSON-LD an agent receives for this listing.
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"@type": "DefinedTerm",
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"name": "AI Accelerator Module"
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"name": "Accelerator Node"
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"description": "Accelerator module is a hardware or software component that offloads specialized computational tasks from general-purpose CPUs to dedicated logic, improving workload-specific performance and efficiency in enterprise systems, such as data centers, edge platforms, and high-performance computing environments.",
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},
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}
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"description": "Accelerator module is a hardware or software component that offloads specialized computational tasks from general-purpose CPUs to dedicated logic, improving workload-specific performance and efficiency in enterprise systems, such as data centers, edge platforms, and high-performance computing environments.",
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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.