Best Self-hosted GPU & Compute Platforms

A curated collection of the best self-hosted gPU & Compute Platforms offer scalable, high-performance computing environments tailored for training and inference of machine learning and deep learning models. These platforms provide access to hardware accelerators such as GPUs, TPUs, and specialized AI chips, often with flexible resource allocation, autoscaling, and cost optimization features. They integrate with popular ML frameworks like TensorFlow and PyTorch and support both batch and real-time workloads. Many platforms include features such as spot pricing, cluster orchestration, storage integration, and multi-tenant isolation, enabling researchers and teams to build performant AI systems without managing physical infrastructure.