Replicate Alternatives

If you're looking for a Replicate alternative, Modelbit is worth a look. It's a full ML engineering platform that lets you deploy custom and open-source machine learning models to autoscaling infrastructure. It's got built-in MLOps tools, Git integration and industry-standard security for a broad range of ML models and deployments from many sources. Pricing is tiered, with on-demand, enterprise and self-hosted options.

Another option is Predibase, which is geared for fine-tuning and serving large language models. It's got a low-cost serving infrastructure and supports serverless inference up to 1 million tokens per day. With a pay-as-you-go pricing model and strong security, Predibase is good for developers who need to deploy LLMs efficiently and securely.

If you want an open-source MLOps option, check out MLflow. The platform makes it easier to develop and deploy machine learning and generative AI projects. It tracks experiments, logs data and manages models, and it supports popular deep learning libraries like PyTorch and TensorFlow. MLflow is free to use, so it's a good option for improving collaboration and productivity in ML workflows.

Last, AIML API offers a single interface to more than 100 AI models, a good option for scaling and reliability. It has serverless inference and a pay-by-token pricing model, so it's good for projects that need fast and cheap access to a wide range of AI models.