If you need a cloud provider with a robust environment for building, training and running intelligent applications while having complete control over infrastructure and costs, Scaleway is a good option. Scaleway offers a variety of cloud services, including bare metal, compute, network, storage and AI and machine learning services. It offers true hardware isolation, high-performance computing and scalable infrastructure with fixed pricing. Security and compliance are also a high priority, with GDPR compliance and robust technical controls for data protection.
Another good option is IBM Cloud, which is geared for highly regulated industries. It offers a secure and resilient environment with high performance, making it well-suited for rapid deployment of AI models. IBM Cloud offers a variety of solutions, including IBM Cloud for Regulated Industries, IBM Cloud Hyper Protect Virtual Servers and IBM WatsonX.Governance, which helps govern data sources and accelerate responsible AI workflows. The platform also offers a variety of financial incentives and discounts to help lower total cost of ownership.
For flexibility and performance, Anyscale is a good option. Built on the open-source Ray framework, Anyscale supports a wide variety of AI models and offers features like workload scheduling, cloud flexibility and smart instance management. It offers cost savings with optimized resource utilization and has native integrations with popular IDEs. Anyscale also offers a free tier and customizable plans for enterprise customers.
Finally, RunPod is a globally distributed GPU cloud platform that lets you run any GPU workload. It offers immediate spinning up of GPU pods, a range of GPUs and serverless ML inference with autoscaling. RunPod offers more than 50 preconfigured templates and a CLI tool for easy provisioning and deployment. Its flexible pricing and high uptime make it well-suited for demanding AI workloads.