Large-model deployments increasingly use lower precision as a production strategy

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Running a large model in production involves both serving choices and version changes. Lower precision is increasingly used in production, according to a compute-trends analysis. The same analysis says a new version can take over its model family's workloads in about a month.

Here's what matters for deployment:

• Lower precision is increasingly used as a production strategy for large models.
• A new model version can take over its family's workloads in about a month. That estimate concerns workloads within the same model family.
• Agents account for 8% of users but 24% of revenue in the AI compute-trends summary. Their share of users is much smaller than their share of revenue.

Sources: runpod.io