If you're looking for another Scaleway alternative, Anyscale is definitely worth a look. Anyscale is a platform for building, deploying and scaling AI applications, with features like workload scheduling, cloud support across multiple clouds and heterogeneous node control for better resource allocation. It supports a broad variety of AI models and offers up to 50% cost savings on spot instances. It also has native integrations with popular IDEs and supports secure and governed enterprise use cases.
Another option is Gcore, a cloud and edge platform for AI training and secure content delivery. It offers high-performance computing resources, security features and a globally distributed network with more than 180 CDN POPs. Gcore offers a range of services, including Edge Cloud, Bare Metal and Edge Security, so it's a good option for AI infrastructure and high-performance networking that needs to be flexible and scalable.
If you're on a budget, Salad is worth a look. This cloud-based service is designed to deploy and manage AI/ML production models at scale, with a global edge network and GPU-powered processing. It supports a range of GPU-heavy workloads and is certified for SOC2 security compliance, so it's a good option for large-scale AI workloads. Salad's pricing starts at $0.02/hour, with discounts for large-scale usage.
Last, dstack is an open-source engine that automates infrastructure provisioning for AI model development, training and deployment on a range of cloud providers. It supports a range of cloud providers and on-prem servers, so it's good for managing AI workloads while keeping costs down. dstack offers a range of deployment options and a community-driven support system, so it's a good option for AI workload management.