dstack
dstack is an open-source alternative to Kubernetes and Slurm, designed to simplify GPU allocation and AI workload orchestration for ML teams across top clouds, on-prem clusters, and accelerators. It provides a unified interface on top of GPU clouds, streamlining the provisioning, allocation, and utilization of cloud GPUs and high-performance interconnected clusters. dstack enables efficient development, training, and deployment of AI models, making it a valuable tool for machine learning teams looking to enhance their workflows and reduce costs.
dstack
dstack is an open-source alternative to Kubernetes and Slurm, designed to simplify GPU allocation and AI workload orchestration for ML teams across top clouds, on-prem clusters, and accelerators. It provides a unified interface on top of GPU clouds, streamlining the provisioning, allocation, and utilization of cloud GPUs and high-performance interconnected clusters. dstack enables efficient development, training, and deployment of AI models, making it a valuable tool for machine learning teams looking to enhance their workflows and reduce costs.