Скачать с ютуб Introducing new deployment and cost management solutions for Azure OpenAI Service в хорошем качестве

Introducing new deployment and cost management solutions for Azure OpenAI Service

Discover the various deployment options available with Azure OpenAI Service for building and deploying AI workloads. This video explores three main deployment options: 1. Standard: Ideal for medium-to-low volume workloads with inconsistent bursts, offering cost optimization by paying per API call and only for the tokens you use. 2. Batch: Makes bulk inference efficient and cost-effective, cutting costs by 50% compared to standard rates. Deploy a global batch model, upload your batch file, and track progress as jobs process asynchronously within 24 hours. 3. Provisioned: Suitable for scaling AI workloads with consistent performance and capacity, providing predictable latency and low variability on processing prompts and generating completions. Offered in multiple timeframe options including hourly on-demand with optional monthly and yearly commitments for discounted rates. Additionally, the video highlights the Data Zones feature, which balances cost-efficiency and control by allowing global or regional deployments. This makes it easier for enterprises to manage their AI applications without sacrificing security or speed. Deploy Azure OpenAI Service models that work best for you! Learn More: https://msft.it/6053UVpgl #Microsoft #MicrosoftAzure