Posted On: Dec 10, 2024
Today, NVIDIA GPU Time-slicing support for Bottlerocket, the Linux-based operating system purpose-built for hosting containers, with a focus on security, minimal footprint, and safe updates, is now available in China Regions. This new feature addresses the challenge of maximizing GPU utilization in multi-tenant and resource-constrained environments by enabling more efficient GPU resource sharing for Artificial Intelligence/Machine Learning (AI/ML) workloads running on containers.
By dividing the GPU's processing time into smaller intervals or “slices,” Bottlerocket's support of Time-slicing allows multiple tasks to access a single GPU concurrently. This enables Bottlerocket customers to run multiple AI/ML models on a single GPU, improving GPU utilization and allowing them to scale their workloads more effectively.
GPU Time-slicing on Bottlerocket is now available in Amazon Web Services China (Beijing) Region, operated by Sinnet, and the Amazon Web Services China (Ningxia) Region, operated by NWCD. To learn more about Bottlerocket's GPU Time-slicing feature, please visit the Bottlerocket developer website.