Six reasons why startups and at-scale cloud native companies build their GenAI Apps with Azure

Startups and large, cloud-native enterprises are leading the way in realizing unique GenAI use cases across a wide range of industries and use cases. The GenAI model has opened up unprecedented opportunities for startups to differentiate through creativity and efficiency. However, the success of these AI-based initiatives is heavily dependent on the underlying cloud services and infrastructure. As startups embark on their journey to build groundbreaking AI use cases, choosing the right cloud provider becomes increasingly important. A trusted cloud platform not only provides the scalability, security, and performance needed to effectively deploy AI models, but also provides access to advanced tools and services that accelerate innovation.

Azure has evolved into the platform of choice for many startups, including: embarrassment and MoveworksAnd so do large companies today. Here are six reasons why companies of all sizes are building GenAI apps. Azure OpenAI Service.

1. Flexible deployment options
   Azure OpenAI Service offers a high degree of deployment flexibility to meet the diverse needs of startups and entrepreneurs. Whether you prefer the simplicity of pay-as-you-go or the dedicated performance of provisioned throughput units (PTUs), Azure offers tailored options to fit your business model. With recent improvements, including a 400% performance boost for provisioned throughput, Azure is increasing speed and efficiency to help companies scale operations seamlessly. Learn more about our different deployment options here..
2. Global scalability
   Azure OpenAI services stand out for their broad global availability, covering more regions than any other cloud provider. This broad reach allows customers to access AI models wherever they are, providing a consistent and reliable experience. Azure’s optimized latency enhancements facilitate rapid deployment across multiple regions, helping you stay ahead of global demand and stay close to your customers.
3. Building continuous innovation and scalability: Azure OpenAI is the only platform that offers: Stable access GPT-4o, GPT 3.5 model, GPT4 globally and with content safety, enabling entrepreneurs to build scalable applications responsibly. Investments in Azure’s global capacity have resulted in significant performance and cost improvements, including a 400% increase in PTU performance and a 20% reduction in GPT Text costs compared to Gemini Text. Azure OpenAI Service remains a comprehensive platform, providing GenAI tools to help businesses innovate, grow, and succeed.
4. High performance and cost efficiency
   Azure OpenAI services combine high performance and cost-effective solutions. It provides industry-leading SLAs (99.9% pay-as-you-go, 99.99% provisioned throughput distribution) to ensure reliability and uptime. Azure OpenAI GPT-4o is available at up to 20% lower cost than competing models like Gemini Text, and Azure delivers value through flexible pricing models like PTU self-service and Azure Reservations. This approach helps companies optimize their AI investments while effectively managing their budgets. Check prices here.
5. Access to advanced AI models
   Azure OpenAI services are committed to providing access to: OpenAI’s latest flagship model Includes the latest version with GPT-4o, GPT-4o mini, and structured output (GPT-4o-2024-08-06). With over 1,600 models from top vendors like Meta, Mistral, or Cohere, and Microsoft’s Phi family, Azure helps you leverage cutting-edge AI capabilities while maintaining transparency and cost efficiency. Any startup can now customize these models with fine-tuning capabilities available on the Azure platform.
6. Smooth and efficient AI development
   Azure is the perfect platform for developers and data scientists to build GenAI apps. Azure OpenAI Service and other models enhance AI development with seamless integration with other Azure services. Azure AI StudioDevelop, test, and deploy AI applications faster with an integrated toolchain that includes GitHub, AI Search, and databases. Any developer can build a simple web app right in AI Studio, use partner solutions like AI Search or Pinecone for vector databases, and deploy massively scalable applications using globally scalable databases like PostgreSQL, SQL Server, or Cosmos DB. Some entrepreneurs can deploy using Azure Kubernetes Service, build on top of container apps, or use open source frameworks available on Azure. Recent improvements in provisioning throughput deliver up to 400% better performance, ensuring solutions can be brought to market quickly and efficiently.

Customer inspiration

Azure OpenAI Service provides a powerful toolset for Gen AI, offering deployment flexibility, global scalability, high performance, cost efficiency, and access to advanced AI. These strengths help startups and large companies succeed in a competitive environment. More than 60,000 customers are already leveraging Azure AI for impactful outcomes.It’s clear that Azure is a valuable choice for enterprises looking to lead AI innovation.

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