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Description

Experience effortless migration of your existing VM workloads with just one click, enabling seamless application mobility across on-premises and cloud environments. Why limit yourself to a one-directional cloud migration when you can enjoy ongoing mobility? Transition your workloads from on-premises to the cloud, between different cloud providers, or back again with ease. Choose your cloud strategy according to your needs. For effective business continuity, a multi-cloud strategy and application mobility are essential. Say goodbye to protracted and costly VM migration projects; Instashift offers a solution that automates the process at the click of a button. There’s no requirement for complicated techniques—migrate your VMs along with their applications, databases, and states effortlessly. Your applications can enjoy continuous mobility, allowing for quick relocations to the cloud or back to on-premises with a simple click. If you have thousands of VMs to transfer, Instashift provides a seamless automated solution tailored for you. This innovative platform serves sovereign and emerging cloud providers, equipping them with the same capabilities and flexibility that users have come to expect from leading public cloud services, ensuring that you stay ahead in the evolving digital landscape.

Description

dstack simplifies GPU infrastructure management for machine learning teams by offering a single orchestration layer across multiple environments. Its declarative, container-native interface allows teams to manage clusters, development environments, and distributed tasks without deep DevOps expertise. The platform integrates natively with leading GPU cloud providers to provision and manage VM clusters while also supporting on-prem clusters through Kubernetes or SSH fleets. Developers can connect their desktop IDEs to powerful GPUs, enabling faster experimentation, debugging, and iteration. dstack ensures that scaling from single-instance workloads to multi-node distributed training is seamless, with efficient scheduling to maximize GPU utilization. For deployment, it supports secure, auto-scaling endpoints using custom code and Docker images, making model serving simple and flexible. Customers like Electronic Arts, Mobius Labs, and Argilla praise dstack for accelerating research while lowering costs and reducing infrastructure overhead. Whether for rapid prototyping or production workloads, dstack provides a unified, cost-efficient solution for AI development and deployment.