Managed foundation model platform for building generative AI applications.
2 months ago
If you are already on AWS, Bedrock is a no-brainer. No need to manage separate API keys or billing with OpenAI. The ability to switch between Llama 3 and Claude with just a config change gives us great flexibility. We built an internal chatbot in a week using Bedrock Agents.
9 months ago
We chose Bedrock because it keeps all our data within our existing VPC. Accessing models like Claude 3.5 Sonnet via a simple API call without managing infrastructure is a massive win. The 'Knowledge Bases' feature for RAG (Retrieval-Augmented Generation) was surprisingly easy to set up. It's much cleaner than managing raw EC2 instances for inference.
11 months ago
Bedrock is powerful, but getting our quotas raised for production traffic was a nightmare. We kept hitting throughput limits during testing. Also, the console UI is a bit clunky compared to OpenAI's playground. Once it's running via SDK it's fine, but the operational friction is real for enterprise scale.
