Ensure that the OpenAI Tokens-Per-Minute (TPM) limits meet your organization’s specific requirements based on the model and SKU being used. For example, ‘gpt-4:Standard:10’ means that GPT-4 models using the Standard SKU should use a value of less than or equal to 10K TPM. Managing TPM limits appropriately helps control costs, prevent unexpected billing spikes, and…
Ensure that OpenAI deployment SKUs meet your organization’s specific requirements. These can be based on your organization’s data processing location compliance or usage (e.g., Standard for variable workloads, ProvisionedManaged for high volume). When deploying OpenAI services in Azure, selecting the appropriate SKU (Stock Keeping Unit) is a critical decision that impacts cost efficiency, performance, and…
OpenAI frequently releases newer models that provide improved performance, capabilities, and cost efficiency. Organizations using older models may be overspending while receiving inferior results. By systematically adopting the latest appropriate models, your organization can realize significant cost savings while maintaining or improving capabilities. This policy ensures your organization leverages the most cost-efficient OpenAI models available,…