AIxBlock Alternatives

If you're looking for another AIxBlock alternative, Anyscale is definitely worth a look. It's a platform for building, deploying and scaling AI applications with the highest performance and lowest cost. By using the open-source Ray framework, Anyscale supports a broad range of AI models and can be more economical than spot instances. Features include workload scheduling, cloud choice, intelligent instance management, GPU and CPU partitioning, and native integrations with popular IDEs.

Another option worth considering is dstack. This open-source engine automates infrastructure setup for AI model development, training and deployment on a variety of cloud services and data centers. It makes it easier to set up and run AI workloads, so you can concentrate on your data and research while cutting costs. dstack supports a variety of cloud services and offers several deployment options, including self-hosted and managed versions.

If you want a cloud-based option, Salad could be a good choice. It's a way to deploy and manage AI/ML production models at scale using thousands of consumer GPUs around the world. Salad features include scalability, a fully-managed container service, a global edge network and on-demand elasticity. It supports a variety of GPU-hungry workloads and integrates with popular container registries, so it's a good AIxBlock alternative.