Orchestrating GPUs in data centers and private clouds
Recent breakthroughs in open-source AI have made AI infrastructure accessible beyond public clouds, driving demand for running AI workloads in on-premises data centers and private clouds. This shift offers organizations both high-performant clusters and flexibility and control.
However, Kubernetes, while a popular choice for traditional deployments, is often too complex and low-level to address the needs of AI teams.
Originally, dstack was focused on public clouds. With the new release, dstack
extends support to data centers and private clouds, offering a simpler, AI-native solution that replaces Kubernetes and
Slurm.
