
End-to-end generative AI and HPC/ML cloud service with 120+ open-source tools, optimized for multi-cloud and on-prem deployments.
Vendor
Adaptive Computing
Company Website

Adaptive.HPC/AI/ML-AS-A-SERVICE is a comprehensive cloud-based and on-premises solution for delivering High-Performance Computing (HPC), Artificial Intelligence (AI), and Machine Learning (ML) workloads. Designed for small to large enterprises, it includes over 120+ open-source applications and frameworks optimized for GPU and AI/ML tasks. The service integrates the full Adaptive Computing Technology Stack, including Moab HPC Suite and ODDC (On-Demand Data Center), and supports deployment across major cloud providers—AWS, Azure, GCP, and OCI. This platform is built on the Extreme-scale Scientific Software Stack (E4S), a curated collection of HPC and AI/ML packages assembled under a U.S. Department of Energy grant. Adaptive Computing collaborated with ParaTools and E4S Project Lead Sameer Shende to build custom images for all major cloud platforms, enabling seamless multi-cloud and hybrid deployments.
Features
- 120+ Open-Source Applications: Includes TensorFlow, PyTorch, JAX, HDF5, PETSc, Trilinos, TAU, and more.
- Multi-Cloud & On-Prem Support: Pre-configured for AWS, Azure, GCP, and OCI; deployable in Adaptive’s data center or customer’s own.
- ODDC Web Interface: Launch jobs on multiple nodes via browser; includes responsive remote desktop (VNC) for 3D tools like ParaView and VisIt.
- Moab HPC Suite Integration: Advanced workload management and scheduling.
- DOE E4S Stack: Trusted and performant software stack for scientific computing and AI/ML.
- Training Library: Includes training videos for deploying E4S on all major cloud platforms using ODDC.
Benefits
- Cost-Effective: Offers enterprise-grade AI delivery at an all-inclusive monthly price, significantly lower than other generative AI solutions.
- Scalable & Flexible: Suitable for SMBs to large enterprises; supports hybrid and multi-cloud environments.
- Performance-Optimized: Built with MVAPICH MPI distribution for efficient intra/inter-node communication.
- Ease of Deployment: Launch workflows with just a few clicks using a user-friendly GUI.
- Educational & Research Ready: Ideal for scientific computing, AI/ML research, and enterprise AI training.