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Term · Topic

Training Throughput

Training throughput is the rate at which an AI training system processes data or training steps over time, typically measured in samples, tokens, or steps per second, and it matters for planning, tuning, and economically operating enterprise machine learning infrastructure.

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Vendors describe the same technology in different words. This record pins down what "Training Throughput" means and ties it to the companies and coverage that use it, so an agent compares like with like.

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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":"training-throughput"},"name":"di_get_term"}}'

REST

GET https://api.decisioninsights.ai/api/public/v1/glossary/2892a10a-f232-44db-9377-babdb0b72808

CLI

di get-glossary --slug training-throughput

JSON-LD

The schema.org markup this page publishes for search engines and AI agents, exactly as they read it.

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How an agent can rely on this definition

What the record lets an agent check before it uses the term in an answer.

The check What the record shows Where it is in the data
It's a known term One entry, with its type (topic) name
It's in real use 1 article tags it subjectOf
It sits in a glossary Linked to Throughput, Data Throughput, Throughput Optimization, I/O Throughput inDefinedTermSet
View the raw record (JSON-LD)
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