If you're looking for another Tromero alternative, Predibase is worth a look. It lets developers train, fine-tune and deploy large language models and other AI models with high performance and low costs. The service supports state-of-the-art techniques like quantization and low-rank adaptation, and offers free serverless inference for up to 1 million tokens per day. It's also got enterprise-class security with SOC-2 compliance and a pay-as-you-go pricing model.
Another good option is Together, a cloud platform for rapid and efficient development and deployment of generative AI models. It features new optimizations like Cocktail SGD, FlashAttention 2, and Sub-quadratic model architectures to accelerate AI model training and inference. With a scalable inference capability that can handle massive traffic volumes and cost savings up to 117x compared to AWS, it's a good option for companies that want to build private AI models directly into their products.
Anyscale is another option. It lets developers build, deploy and scale AI applications with the best performance and efficiency. It's based on the open-source Ray framework, which provides workload scheduling, cloud flexibility and smart instance management. With reported cost savings of up to 50% on spot instances and a free tier with flexible pricing, Anyscale is good for developers who want to squeeze the most out of their resources and make their workflows more efficient.
For those who need a basic but scalable option, Replicate offers an API-based service that lets developers run and scale open-source machine learning models. It comes with a library of pre-trained models, automatic scaling and a one-line deployment process. Replicate is geared for developers who want to add AI abilities without the complexity of model deployment or infrastructure management.