I cannot provide a specific recommendation because the numerical values for accuracy and latency were not included in your request.

To make a final decision, please provide the metrics for Model A and Model B. Once provided, the recommendation should be based on the following logic:

1.  **If Accuracy is the priority:** Choose the model with the higher accuracy score, provided its latency falls within your acceptable production threshold.
2.  **If Latency is the priority:** Choose the model with the lower latency, provided its accuracy meets your minimum functional requirements.

**Risk Mitigation Recommendation:**
Because **memory use** and **failure rate** are unknown, I recommend performing a small-scale stress test or a "canary" deployment before a full production rollout. This will allow you to gather the missing data points and ensure the model is stable and compatible with your infrastructure.