A well-architected generative AI tech stack is crucial for building applications that produce text, images, or audio intelligently and at scale. This blog breaks down the core components of a modern GenAI stack—from foundational models like GPT or Stable Diffusion, to data pipelines, orchestration tools, vector databases, APIs, and deployment frameworks. We explore how these elements work together to support training, fine-tuning, inference, and delivery. Whether you're building creative tools, chatbots, or AI-driven design platforms, choosing the right tech stack ensures performance, flexibility, and scalability. Learn what top companies are using in their GenAI pipelines, what open-source tools can speed up development, and how to optimize your stack for both prototyping and production environments.
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