List of Gcore Integrations

This is a list of platforms and tools that integrate with Gcore. This list is updated as of April 2026.

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    emma Reviews & Ratings

    emma

    emma

    Simplify cloud management, optimize resources, and drive growth.
    Emma empowers users to choose the most appropriate cloud providers and environments, facilitating adaptation to changing needs while ensuring ease of use and oversight. It simplifies cloud management by consolidating services and automating key processes, effectively reducing complexity. The platform also automatically optimizes cloud resources, ensuring full utilization and decreasing overhead expenses. With its support for open standards, it grants flexibility that frees businesses from reliance on particular vendors. Moreover, through real-time monitoring and data traffic optimization, it helps avert unforeseen cost increases by managing resources efficiently. Users can set up their cloud infrastructure across a range of providers and environments, whether on-premises, private, hybrid, or public. The management of this unified cloud environment is streamlined via a single, intuitive interface. Additionally, users gain essential insights that boost infrastructure performance and help cut costs. By reclaiming authority over the entire cloud ecosystem, organizations can ensure compliance with regulatory requirements while promoting innovation and growth. This all-encompassing strategy equips businesses to remain competitive in a rapidly evolving digital realm, ultimately fostering their long-term success.
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    Shadeform Reviews & Ratings

    Shadeform

    Shadeform

    Deploy GPU infrastructure from 20+ vetted clouds under a single control plane
    Shadeform functions as an all-encompassing GPU cloud marketplace that simplifies the tasks of discovering, comparing, launching, and managing on-demand GPU instances from multiple cloud providers through one cohesive platform, consolidated console, and API. This integration supports the development, training, and deployment of AI models while alleviating the complications associated with handling numerous accounts or maneuvering through different provider interfaces. Users benefit from the ability to access current pricing and availability for GPUs across various clouds, launch instances either within their own cloud accounts or via Shadeform's managed accounts, and efficiently manage a multi-cloud ecosystem from a single, centralized location using standardized tools such as curl, Python, or Terraform. By consolidating information on GPU capacity and pricing, teams can optimize their computing costs effectively, deploy containerized workloads with consistent interfaces, centralize billing and account management, and reduce vendor-specific challenges through a unified API that supports a range of providers. Furthermore, Shadeform improves the user experience with additional features such as scheduling and automated resource provisioning, which guarantee that users can obtain essential resources as they become available while ensuring operational flexibility. This approach not only streamlines processes but also enhances collaboration among teams working on AI projects, allowing them to focus more on innovation rather than logistical hurdles.
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