Question: Is there a platform that offers pre-configured environments for fast algorithm development and cost-effective model training?

If you're looking for a platform with preconfigured environments for rapid algorithm development and low-cost model training, Together is a great option. This cloud platform is optimized for the development and deployment of generative AI models with optimizations like Cocktail SGD and Sub-quadratic model architectures. It supports a variety of models and offers scalable inference and collaboration tools, with estimated cost savings of up to 117x compared to AWS.

Another top contender is KeaML, which offers a full suite of tools for developing, training and deploying machine learning models. KeaML offers preconfigured environments and optimized cloud resources, integrates with common data science tools and automates resource management. It also offers flexible pricing tiers, including a free Starter plan, so it can accommodate projects of all sizes and budgets.

Anyscale is another option worth considering, particularly if you need a platform that can handle a wide variety of AI models and that's good at using resources. Built on the open-source Ray framework, Anyscale offers workload scheduling, cloud flexibility and smart instance management. It comes with features like persisted storage, Git integration and security tools, too, so it's a good option for large-scale AI development that needs to be efficient.

If you're focused on large language models, Predibase is a low-cost option for fine-tuning and serving LLMs. It includes free serverless inference and supports a variety of models, with a pay-as-you-go pricing model. Predibase also offers dedicated deployments and enterprise-grade security, so it's a good option for developers who want to use LLMs but don't want to pay a premium.