Question: Can you recommend a platform that allows me to train AI models on commodity hardware without needing specialized hardware like GPUs or TPUs?

If you want a platform to train AI models on commodity hardware without needing hardware accelerators like GPUs or TPUs, ThirdAI is a good choice. The platform offers large language models that can be customized and used for tasks like document intelligence, customer experience and generative AI for summarizing documents. It's optimized for performance on benchmark tests and can be easily integrated into existing workflows with a simple interface and tiered pricing plans.

Another good choice is Predibase. It lets developers fine-tune and serve large language models at a low cost through techniques like quantization and low-rank adaptation. Predibase offers free serverless inference for up to 1 million tokens per day and enterprise-grade security. It supports a variety of models and uses a pay-as-you-go pricing model.

Replicate is another good option. It's an API-based service that makes it easy to run and scale open-source machine learning models. Replicate has a library of pre-trained models for many tasks, but its focus is on ease of use, with features like one-line deployment, automatic scaling and usage-based pricing. That makes it a good choice for developers who want to add AI abilities without a lot of infrastructure hassles.

If you need a serverless GPU foundation, Cerebrium offers a pay-per-use pricing model that can dramatically cut costs. It also offers features like real-time logging and monitoring, automatic scaling and support for a variety of GPUs. Cerebrium is designed to be easy to use and scalable, making it a good option for training and deploying AI models on commodity hardware.