1. [Home](https://www.g2.com/) 2. ... 3. [MLOps Platforms](https://www.g2.com/categories/mlops-platforms) 4. [Dstack Discussions](https://www.g2.com/products/dstack/discuss) [ ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_b7d852cc408a7bd9d3e4ca9458b2af91/dstack.jpg "Product Avatar Image") ](/products/dstack/reviews) [ Dstack ](/products/dstack/reviews) 0 ratings dstack is an open-source control plane designed to streamline GPU provisioning and orchestration for machine learning (ML) teams. It offers a unified interface to manage development, training, and inference workloads across various environments, including cloud platforms, Kubernetes clusters, and on-premises infrastructure. By integrating seamlessly with diverse hardware and open-source tools, dstack enhances operational efficiency, reduces costs by 3–7 times, and mitigates vendor lock-in. Key Features and Functionality: - Unified GPU Orchestration: Provides a single control plane to manage GPUs across cloud services, Kubernetes, and on-premises setups, facilitating consistent and efficient operations. - Native Cloud Integration: Automates the provisioning and management of virtual machine clusters through direct integrations with leading GPU cloud providers, optimizing resource utilization and minimizing administrative overhead. - On-Premises Compatibility: Supports integration with existing on-premises clusters via Kubernetes backends or SSH fleets, enabling quick and straightforward connections to dstack's orchestration capabilities. - Development Environments: Facilitates the connection of desktop integrated development environments (IDEs) to powerful cloud or on-premises GPUs, enhancing the development and debugging process for ML engineers. - Task Management: Simplifies the transition from single-instance experiments to multi-node distributed training by allowing the definition of complex jobs through straightforward configurations, with dstack handling scheduling and orchestration. - Scalable Service Deployment: Enables the deployment of models as secure, auto-scaling endpoints compatible with OpenAI, utilizing custom code, Docker images, and serving frameworks. Primary Value and Problem Solved: dstack addresses the complexities associated with managing AI infrastructure by providing a unified, open platform for GPU orchestration. It streamlines the entire ML lifecycle—from development and training to inference—across diverse environments and hardware configurations. By reducing operational costs and preventing vendor lock-in, dstack empowers ML teams to focus on innovation and research without the burden of infrastructure management. Show More When users leave Dstack reviews, G2 also collects common questions about the day-to-day use of Dstack. These questions are then answered by our community of 850k professionals. Submit your question below and join in on the G2 Discussion. * * * ### 0.0 Nps Score ### All Dstack Discussions Search Most CommentedMost HelpfulCommon QuestionsNewest All DiscussionsDiscussions with CommentsCommon QuestionsDiscussions without Comments FilterFilter Filter byExpand/Collapse Sort by Most Commented Most Helpful Common Questions Newest Filter by All Discussions Discussions with Comments Common Questions Discussions without Comments Sorry... There are no questions about Dstack yet. ## Start a New Software Discussion Have a software question? Get answers from real users and experts [Start A Discussion](/products/dstack/discussions/new?entry_point=discussions%23product) * * * ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_b7d852cc408a7bd9d3e4ca9458b2af91/dstack.jpg "Product Avatar Image") ### Have you used Dstack before? Answer a few questions to help the Dstack community [ Yes ](javascript:void(0))[ Yes ](https://www.g2.com/login?context=product_review&return_to=https%3A%2F%2Fwww.g2.com%2Fproducts%2Fdstack%2Fdiscuss%3Fsmall_ask%3Ddstack) No