Anyscale Alternatives

If you're looking for an alternative to Anyscale, Salad is another powerful platform for deploying and managing AI/ML production models at scale. It offers low-cost access to thousands of consumer GPUs around the world and supports a range of GPU-accelerated workloads. Salad offers on-demand elasticity, multi-cloud support and SOC2 certification for security and compliance, making it a good option for customers who need scalability and cost-effectiveness.

Another good option is dstack, an open-source engine that automates infrastructure provisioning for AI model development, training and deployment on a range of cloud providers and data centers. It streamlines AI workload setup and execution so customers can concentrate on data and research while cutting costs. dstack supports a broad range of cloud providers and offers flexible deployment options, including self-hosted and managed services.

If you're looking for a more general-purpose AI training service, check out NVIDIA AI Platform. The platform is a full-stack offering for enterprise AI adoption, combining accelerated infrastructure, AI models and a streamlined development and deployment process. It supports multi-node training at scale and has integrated tools for building and customizing production-ready AI applications.

Last, Together is a cloud platform for fast and efficient development and deployment of generative AI models. It includes new optimizations for AI model training and inference and supports a broad range of models. Together is geared for companies that want to build private AI models into their products, and it offers substantial cost advantages compared to other providers.