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.
- 1 article
What this term record gives an agent
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.
One definition
A plain definition plus how it's used, what it's often confused with and why it matters.
Neighboring terms
Related terms in the same glossary, so an agent can widen or narrow a search the way the market does.
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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-babdb0b72808CLI
di get-glossary --slug training-throughputJSON-LD
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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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