Question: I need a solution that offers persistent storage for my AI-generated projects and files, without having to worry about hardware maintenance.

For persistent storage without hardware worries, Anyscale is a strong contender for building, deploying and scaling AI workloads. It has persisted storage and Git integration to help you manage your AI-created projects. And it supports a variety of AI models and integrates with common IDEs for a smooth development experience.

Another good choice is ThinkDiffusion, which offers a cloud-based service for Stable Diffusion creative content generation. It comes with 200 GB of persisted storage and a range of preinstalled extensions, as well as community tools like tutorials and a growing library of assets. That makes it a good choice for creatives and businesses that want to use AI for visuals without having to worry about the details.

dstack is also a good option, particularly if you need an open-source engine for automating infrastructure provisioning on multiple cloud providers and on-prem data centers. It makes it easy to set up and deploy AI workloads, so you can concentrate on your work instead of infrastructure. And it can cut costs with cheap cloud GPUs.

Last, MinIO is an open-source, high-performance object storage system geared for cloud-native AI and machine learning workloads. It's got features like active-active replication, industry-standard encryption and multi-cloud support, so it's good for big AI/ML workloads and data lakes. That can mean a persistent, high-scale storage system for your AI-created assets.