Decoupling CUDA Execution from GPUs for Unbounded AI Infrastructure Management
Unprecedented Efficiency
Reimagined Consumption
Diverse GPU Support
Seamless Integration
Unprecedented Efficiency
Reimagined Consumption
Diverse GPU Support
Seamless Integration
Run your Pytorch apps in Linux containers with the Wooly Runtime Library and CPU only infrastructure
CUDA Abstraction for Pytorch
Compiling Shaders into Wooly Instruction Set (IS)
GPU Hosts running with Wooly Server Runtime
Maximized Consistent GPU Utilization
Isolated Execution for Privacy and Security
Easy Scalability
Dynamic Resource Allocation and Profiling
GPU Hardware Agnostic
Simplified Manageability
Built on top of our CUDA abstraction layer technology WoolyStack
Automatically runs on remote Wooly GPU service in response to Pytorch (CPU) kernel launch events
Billing based on actual GPU cores and memory consumption for your GPU Instructions
Scales transparently on both GPU processing and memory dimensions
