Rapid AI Model Experimentation

Software Accelerator for Fine-Tuning

and Transfer Learning

What RapidFire AI Does

Hyperparallel Exploration

  • Parallel Training

    Train multiple model configurations simultaneously

  • Change Any Configuration Knob

    Compare architectures, hyperparameters, and data representations

  • Automatic Resource Optimization

    Our intelligent scheduling maximizes GPU utilization

Real-Time Control

  • Live Monitoring

    See progress of all configurations side by side

  • Quick Termination

    Kill underperforming models instantly

  • Dynamic Adaptation

    Clone and modify successful configurations on the fly

A screenshot of a computer screen displaying a Python code. The image is in black and white, and the code is written in a formal tone.

Scale Automatically

  • No System Complexity

    Handles any model size or architecture without complex system setup

  • Smart Allocation

    Optimizes resource allocation automatically

  • Seamless Scaling

    Works across any number of GPUs

RapidFire AI in your Stack

Integrates Into Your Stack

Integrate with your existing tools and cloud, minimizing disruption and maximizing efficiency.

  • Keep Your Current Tools

    Full support for your existing tools (Jupyter, Hugging Face, Pytorch, etc.)

  • No Second-Guessing

    Complete visibility and control over deep learning experimentation

  • Cloud Ready

    Runs on Kubernetes and drops into your cloud ecosystem

Get Started

Fire Up Your DL Workflow Today.

Don't leave accuracy on the table.