Question: I need a data science platform that offers an AI assistant to help with coding challenges and has GPU-enabled workflows.

If you want a full-on data science platform with an AI assistant for coding help and GPU acceleration, Anaconda is a good option. It's an open ecosystem for data science and AI that spans a wide range of tools for many different domains. It's got an AI assistant to help with coding, GPU accelerated workflows, and thousands of curated packages and libraries. The platform also has features like one-click deployment, disaster recovery, and administration and governance tools, with pricing that scales to suit different needs.

Another top contender is Anyscale, which is geared for building, deploying and scaling AI applications. It offers workload scheduling, cloud flexibility, intelligent instance management and heterogeneous node control, and optimizes resource utilization with GPU and CPU fractioning. Built on the open-source Ray framework, Anyscale supports a wide range of AI models and integrates with popular IDEs. It also has native Git integration and streamlined workflows for running, debugging and testing code at scale, making it a good option for data science teams.

If you want a platform that lets you deploy and manage GenAI and Large Language Models in your own stack, Zerve is worth a look. It marries open models, serverless GPUs and your own data to speed data science and ML workflows. Zerve offers an integrated environment that combines notebook and IDE functionality, fine-grained GPU control and language interoperability. It can be self-hosted on AWS, Azure or GCP instances, giving you full control over data and infrastructure, which can be useful for teams that want to customize and control.