Compare AMD Developer Cloud vs. Arct Cloud in 2026

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Description

AMD Developer Cloud grants immediate access to high-performance AMD Instinct MI300X GPUs for developers and open-source contributors through a convenient cloud-based interface, featuring a ready-to-use environment that includes Docker containers and Jupyter notebooks, eliminating the need for any local setup. Developers can execute various workloads such as AI, machine learning, and high-performance computing on configurations tailored to their needs, whether opting for a smaller setup with 1 GPU providing 192 GB of memory and 20 vCPUs or a larger setup that includes 8 GPUs with a staggering 1536 GB of GPU memory and 160 vCPUs. The platform operates on a pay-as-you-go model linked to a payment method and offers initial complimentary hours, like 25 hours for qualifying developers, to facilitate hardware prototyping. Importantly, users maintain complete ownership of their projects, allowing them to upload code, data, and software freely without relinquishing any rights. Furthermore, this seamless access empowers developers to innovate rapidly and explore new possibilities in their respective fields.

Description

Simple cloud for builders. VPS hosting with AMD EPYC & Ryzen, NVMe storage and DDoS protection. Arct Cloud offers a robust cloud infrastructure service designed for developers, businesses, and tech teams in need of virtual servers tailored for websites, applications, APIs, databases, development environments, and various self-managed workloads. Clients can choose from a range of VPS plans, select their preferred operating system, and designate a data center location, allowing them to manage Linux instances with root access via SSH or Windows Server instances using Remote Desktop. The service is powered by advanced AMD EPYC or Ryzen processors, providing NVMe storage, DDoS protection, and a monthly data transfer limit; server configurations differ based on vCPU, memory, storage capacity, and transfer allowances. Users benefit from a web console that facilitates server deployment, console access, resizing, reinstallation, and monitoring of usage metrics. While daily backups and manual snapshots are available as paid features, developers have the convenience of managing their servers through a REST API, Python SDK, and command-line interface. Server locations span across major cities, including Utah, London, Amsterdam, Frankfurt, and Tokyo, which enhances accessibility and performance for a global user base. This flexibility allows teams to efficiently scale their resources according to their specific project needs.