Question: Can you recommend a unified DevOps platform for building and scaling AI software?

For building and deploying AI software, Anyscale is one of the most mature and comprehensive platforms. It offers performance and efficiency improvements through workload scheduling, cloud support, intelligent instance management and GPU and CPU partitioning. Built-in support for popular IDEs, persisted storage and Git integration makes it easy to develop software. Anyscale also has strong security and governance controls, making it a good choice for enterprise customers.

Another strong contender is Keywords AI, which offers a unified DevOps platform for AI software based on large language models (LLMs). It can handle multiple calls in parallel without latency, integrates with OpenAI APIs and has a playground for testing and iterating on models. The platform also has performance monitoring, auto-evaluation and data collection to optimize model performance, making it a good fit for AI startups that need to move fast.

Digital.ai is a broad platform for large-scale enterprises, promising to deliver more business value through predictive insights and unified DevOps processes. It includes analytics, enterprise agile planning, application protection, continuous testing and deployment automation. The platform is geared to help enterprises move to the cloud and manage AI-assisted development, tackling complex needs and speeding up deployment.

For a more specialized approach, Athina offers an end-to-end platform for GenAI teams. It offers real-time monitoring, cost tracking and customizable alerts, along with features like LLM Observability and Experimentation Analytics. Athina is geared for teams that want to speed up their AI development with reliable, efficient and accurate applications.