The recently announced Amazon Nova models are part of Amazon’s expanding suite of foundation models (FMs) and are designed to integrate directly with Amazon Bedrock. Bedrock is a fully managed service that provides developers with access to a range of third-party and Amazon-built FMs through a unified API. The Nova models, which prioritize cost-efficiency and low-latency performance, will be available via Bedrock, allowing developers to deploy them alongside existing models like Claude, Command, or Jurassic. This integration means developers can use Bedrock’s tools to test, customize, and scale Nova models without managing infrastructure.
Amazon Nova models are optimized for scenarios where balancing cost and speed is critical. For example, they might be tailored for high-volume tasks like real-time customer support chatbots or content moderation systems, where reducing inference costs and response times is a priority. Bedrock simplifies this process by offering features like model evaluation, fine-tuning with proprietary data, and Retrieval-Augmented Generation (RAG) integrations. Developers can compare Nova’s performance against other Bedrock models using standardized metrics, such as tokens processed per dollar or latency benchmarks, directly within the service. This makes it easier to choose the right model for specific workloads without switching platforms.
Availability through Bedrock ensures Nova models will follow the same access patterns as existing FMs. Developers can invoke them via Bedrock’s API, manage permissions with AWS Identity and Access Management (IAM), and deploy them in supported AWS regions. Amazon has confirmed that Nova will be rolled out progressively across regions, with documentation and code examples provided in the Bedrock console. Pricing will follow Bedrock’s pay-as-you-go model, with costs based on input/output tokens. For teams already using Bedrock, adopting Nova will require minimal workflow changes, making it a practical option for optimizing performance-sensitive applications without overhauling existing integrations.