Top GPU hosting platforms for AI: inference, training & scaling

GPU hosting is essential for AI and ML teams that require more than just raw compute power; it involves comprehensive infrastructure management to support the entire development and production lifecycle. Platforms like Northflank offer full-stack GPU hosting with features such as CI/CD, secure runtimes, and app orchestration, allowing teams to focus on fast iteration and deployment of models without the complexity of managing infrastructure. While traditional hyperscalers like AWS and GCP provide extensive GPU catalogs, they often come with high costs and complexity, making platforms like Northflank an attractive alternative with competitive, usage-based pricing and enterprise-grade features. Effective GPU hosting should include GPU-aware scheduling, integration with development workflows, secure execution environments, and support for both batch jobs and long-running services. Choosing the right GPU hosting platform depends on specific workload needs, such as large-scale model training, real-time inference, or cost-sensitive experiments, with options like Northflank, NVIDIA DGX Cloud, and Vast AI catering to different requirements.