Comparing Generative AI Services : AWS, Azure, GCP

Generative AI is the AI branch focused on crafting entirely new content, like poems, music, or images. It learns patterns from data and uses them to generate fresh outputs. Large Language Models (LLMs) are the core of enterprise Generative AI applications. They can process and generate natural language, but they require additional components to handle user interactions, security, and other functionality to respond to or act on user inputs. The collection of these components and services that form a functional solution is called a Generative AI application.

Generative AI Tech Stack:

The core components of a generative AI tech stack involve three main layers:

[ 1 ] Applications Layer:

This layer includes end-to-end applications or third-party APIs that integrate generative AI models into user-facing products. Here are some key considerations:

• Front-end frameworks: React, Angular, Vue.js for building user interfaces.
• Back-end frameworks: Node.js, Flask, Django for handling API requests and responses.
• Data visualization tools: Tableau, Power BI for visualizing generated content.

[ 2 ] Model Layer:

This layer comprises proprietary APIs or open-source checkpoints that power AI products. It requires a hosting solution for deployment. Here are some key elements:

• Machine learning frameworks: TensorFlow, PyTorch, JAX for model development and training.
• Pre-trained models: GPT-3, Jurassic-1 Jumbo, BLOOM for immediate use or fine-tuning.
• Fine-tuning libraries: Hugging Face Transformers, Gradio for customizing models to specific tasks.

[ 3 ] Infrastructure Layer:

This layer encompasses cloud platforms and hardware manufacturers responsible for running training and inference workloads for generative AI models. Here are some critical aspects:

• Cloud platforms: AWS, Azure, GCP for cloud-based training and deployment.
• Hardware: GPUs, TPUs, AI accelerators for high-performance computing.
• Data storage: S3, Azure Blob Storage, Google Cloud Storage for data management.

Cloud Service Offerings Comparison: