If you're looking for a more comprehensive edge-to-cloud offering, HPE has a suite designed to speed up digital transformation. It includes HPE MyAccount for onboarding, HPE GreenLake for cloud-like deployment, and an Edge-to-Cloud Platform for making decisions. The suite also covers AI adoption, hybrid cloud, and high-performance computing, and is geared for customers like intelligent stadiums and electric vehicles.
Another strong contender is Gcore, which speeds up AI training and delivers content while protecting servers and applications. It has a globally distributed network and offers edge-native infrastructure with services like Edge Cloud, Edge Network and Bare Metal. The platform is good for gaming, entertainment and e-commerce, with managed Kubernetes and load balancers for high-performance networking.
If you're more focused on AI applications, NVIDIA AI Platform is a powerful tool to turn your company into an AI company. It lets you train AI models on multiple nodes, speed up the data science pipeline and deploy production AI applications more easily. Generative AI abilities and data analytics improvements are also built in, so it's good for companies that want to expand their AI work.
Last, Anyscale is a platform for building, deploying and scaling AI applications. It can control heterogeneous nodes, fractionally allocate GPUs and CPUs, and work with popular IDEs and Git. Anyscale also offers cost savings on spot instances and strong security and governance controls, making it a good option for companies that want to get the most out of their AI workloads.