If you need a powerful simulation tool that can handle big simulations without any hardware or VPN setup, SimScale is a good option. It's cloud-based CAE simulation software that runs CFD, FEA and thermal simulations on CAD models. The service supports real-time collaboration and can scale simulations so it works on any browser-enabled device. It's good for a lot of different tasks and can generate simulation data with AI assistance, which can help you optimize product design and performance while reducing costs and shortening product development cycles.
Another option is JuliaHub, a technical computing platform that uses the Julia language for modeling, simulation and collaboration. It's got interactive development with real-time collaborative coding and high-performance computing on demand. JuliaHub is good for scientific modeling, digital twins and machine learning, with tools like JuliaSim, Pumas and Cedar-EDA. It's got reproducibility features and integrates with ChatGPT for coding help, too. It's good for teams and enterprises.
If you need a flexible foundation for running and managing AI/ML production models, Salad is worth a look. The cloud-based service lets you tap into thousands of consumer GPUs around the world at a low cost. Salad offers scalability, a fully-managed container service, a global edge network and on-demand elasticity. It can run a variety of GPU-hungry workloads and integrates with industry-standard tooling, so it's a good option for large-scale operations.
Last, Anyscale is worth a look if you need to develop, deploy and scale AI applications. It's got workload scheduling, cloud flexibility, smart instance management and GPU and CPU fractioning for efficient use of resources. Anyscale supports a range of AI models and has native integration with popular IDEs, persisted storage and Git integration. It's got a free tier and flexible pricing, too, so it's good for a range of enterprise needs.