Rapid Experimentation - The Ultimate AI Edge
What is RapidFire AI ?
RapidFire AI is a rapid experimentation engine for fine-tuning, post-training and transfer learning built on top of open-source MLflow, PyTorch, and Jupyter. Simply import RapidFire AI as a python package and submit your PyTorch code in our API. RapidFire AI automatically scales the execution of your datasets and models across your cluster. Control your models in real-time from the dashboard. Run smarter, faster, and cheaper experiments with no disruption.
Why Choose RapidFire AI
View RapidFire AI in Action
Watch the video and learn how RapidFire AI jumpstarts AI development with Rapid Experimentation that delivers better models faster -- with less costs.
Solutions
Whether you're fine-tuning large language models, training multi-modal systems, or scaling recommendation engines, RapidFire AI helps you go from prototype to production—faster and without the infrastructure hassle.
