dstack is an open-source platform designed to simplify the orchestration of AI workloads, offering a streamlined alternative to complex systems like Kubernetes and Slurm. It enables AI teams to efficiently develop, train, and deploy models across various environments, including multiple cloud providers and on-premises servers.
With native support for accelerators such as NVIDIA, AMD, Google TPU, and Intel Gaudi, dstack ensures optimal performance for diverse AI applications.
The platform offers a user-friendly interface that abstracts the complexities of container orchestration, allowing developers to focus on building AI solutions without the overhead of managing intricate infrastructure.
dstack’s flexibility accommodates a wide range of AI workflows, from interactive development environments to large-scale distributed training and real-time model deployment. Its compatibility with various tools and frameworks makes it a versatile choice for AI practitioners aiming to enhance productivity and reduce operational costs.
