The Rapt Platform
Compute Optimization and Orchestration.
Launch your Private compute cluster and run AI models anywhere
Rapt CRE
Run-time resource predictions for your model workloads
Infra Configurations
Al-driven Resource predictions and recommendations
• Get resource predicitions and recommendations -
Compute type (Nvidia GPU, AMD GPU,CPU,TPU, etc.)
Compute shares, Num of GPUs, Num of workers, Cost, Cloud, GPU mem, GPU cores, etc.
Input your Model recipe
Get ML based Resource
Recommendations for your model workloadAPI based - Add the
rapt_predictions) API to your pipelines to receive resource recommendations.
Get Cloud Recommendations
Get best cloud, cloud instance type (spot, reserved, on-demand) and costs to run model based on
model.
Al-driven Model Configurations Input model recipe, set activation recomputation method, sequence length and get right infra
configuration results in one-click, No trial-and-error or configuration iterations.
Rapt Resource Optimizations
Lowest granular optimizations for AI models
Allocates precise required GPU mem, SMSs, active blocks
On-demand GPU shares based on workloads needs
Allocate Num of Cores, SMs and GPU mem dynamically based on model workload.
On-demand resource allocation dynamically in real-time while model runs. No disruptions.
Rapt AI Scheduler
Launch Al Compute Cluster across any cloud and on-premise. Maximize your GPU clusters
TESTIMONIAL
"I'm thrilled with the impact this has had on our teams. Our bata Scientists can now run Al models with just one click, without the hassle of setting up or dealing with multiple interactions. This has made our workilow at least 4x faster. Plus, we went from 28% GPU utilization to 85%, gaining all that productivity without spending more. It's been a game-changer for us."