Question: Can you recommend a cost-effective solution for training and deploying custom AI models?

If you need a budget-friendly option for training and deploying your own AI models, Together is worth a look. This cloud service is geared for fast and efficient training and deployment of generative AI models, using methods like Cocktail SGD and FlashAttention 2 to accelerate training and inference. It supports a variety of models and has scalable inference to handle large traffic volumes without breaking the bank. And it offers price advantages over rivals like AWS, so it's a good choice for companies that want to build private AI models into their products.

Another good choice is Anyscale, which offers a powerful foundation for developing, deploying and scaling AI workloads. Based on the open-source Ray framework, Anyscale supports a variety of AI models and comes with features like workload scheduling, cloud flexibility and intelligent instance management. It also offers cost savings up to 50% on spot instances, so it's a good option for businesses that want to squeeze the most out of their resources while still delivering high performance. With its flexible pricing and built-in integration with popular IDEs, Anyscale is a good choice for developing and deploying AI applications efficiently.

If you're interested in large language models (LLMs), Predibase is a good option for fine-tuning and serving them. It supports state-of-the-art methods like quantization and low-rank adaptation, and offers free serverless inference for up to 1 million tokens per day. Predibase charges on a pay-as-you-go basis, which can be good for developers who need to scale their LLMs without a big upfront budget. It also offers enterprise-level security and dedicated deployments with usage-based pricing.

Finally, check out Tromero for a service that lets you move from general models like GPT-4 to your own AI models. Tromero takes a more accessible approach with tools for fast model training and scalable, secure GPU clusters. It's designed to be usable even if you don't have AI engineering expertise, and it offers flexible pricing options including a free trial. That makes it a good option for teams that want to cut costs but still have control and security over their AI models.