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
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
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