Blog
Scaling Your K8s PyTorch CPU Pods to Run CUDA with the Remote WoolyAI GPU Acceleration Service
Currently, to run CUDA-GPU-accelerated workloads inside K8s pods, your K8s nodes must have an NVIDIA GPU exposed and the appropriate GPU libraries installed. In this
GPU Consumption Model Based on Core and Memory Usage — Not Time Used
At WoolyAI, we’ve built a technology stack that decouples kernel execution from CUDA by introducing our own abstraction layer. Within this layer, kernels are compiled
Announcing the Beta Launch of WoolyAI: The Era of Unbound GPU Execution
Today, we’re thrilled to announce the beta launch of WoolyAI Acceleration Service, a revolutionary GPU Cloud service built on WoolyStack, our cutting-edge CUDA abstraction layer.
