HPC Compute Service
Overview
This service provides high-performance CPU-based compute nodes optimized for parallel processing, batch execution, and large-scale scientific and AI workloads. It is intended for users who need reliable access to managed compute infrastructure for simulation, data processing, model development, and other CPU-intensive tasks without having to operate the underlying systems themselves. The service is based on a managed HPC environment with Linux compute nodes, a batch scheduler and queuing system, user access management, workload monitoring, and performance-tuning support. The platform is designed for parallel execution and integration with the wider SLAIF compute and storage environment.
Outcome
Efficient execution of large-scale CPU-intensive simulations, data processing pipelines, and AI workloads with predictable performance, managed access, and operational support.
Service Card
| Category | Infrastructure and data-related services |
| Domain | HPC and AI Compute Infrastructure |
| Vertical | Cross-domain |
| Target users | AI Researchers, Data Scientists, HPC Users, SMEs, and Startups |
| Service type | Infrastructure Service / Managed |
| Outputs | Managed access to HPC CPU compute queues and execution environments for batch and parallel jobs. |
| Requirements | Project registration, approved access credentials, and workload preparation for CPU-based HPC execution. |
| Limitations | Best suited for CPU-centric workloads; GPU-dependent training or inference workloads should use the HPC Accelerated Compute Service. |
| Availability | Available (new system Q3/2027) |
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