For training and inference of AI models for enterprise customers, Together is a powerful option. It offers a cloud-based environment for rapid development and deployment of generative AI models. It accelerates training and inference with techniques like Cocktail SGD, FlashAttention 2 and Sub-quadratic model architecture. The platform supports a variety of AI models and offers scalable inference for high traffic, collaborative tools for fine-tuning and economic pricing.
Another top choice is Anyscale, a platform for developing, deploying and scaling AI applications. Built on the open-source Ray framework, it offers the highest performance and efficiency with workload scheduling, cloud flexibility and smart instance management. Anyscale supports a broad range of AI models and offers up to 50% cost savings on spot instances, along with native integrations and streamlined workflows for running and debugging code at scale.
For a full AI training solution, check out NVIDIA AI Platform. It's an integrated AI training service that can be accessed through a browser and speeds up projects with higher accuracy and performance. The platform offers multi-node training at scale, accelerates the data science pipeline and simplifies development and deployment of production AI applications, making it a good choice for enterprises that want to build AI into their business.