Operationalizing AI Fabrics with Aviz ONES, NVIDIA Spectrum-X, and Rafay
Discover the new AI operations model available to enterprises that enables self-service consumption and cloud-native orchestration for developers.
Rafay-powered SLURM as a Service (SLURMaaS) enables organizations to deliver fully managed, multi-tenant SLURM environments for high-performance computing (HPC) workloads.
Traditional SLURM deployments are static, siloed, and resource-intensive to manage. Rafay modernizes SLURM by integrating it with Kubernetes through Project Slinky, allowing providers to expose SLURM job scheduling as a cloud-like, on-demand service.
This approach allows service providers, enterprises, and sovereign cloud operators to offer secure, elastic SLURM environments with built-in governance, visibility, and automation, simplifying access for research and engineering teams.
Traditional SLURM scheduling with Kubernetes orchestration, dynamic GPU allocation, and multi-tenant security
Launch clusters instantly with Kubernetes integration
Optimize utilization across SLURM jobs automatically
Secure workload separation with per-tenant tracking
Provisioning, scaling, and teardown handled automatically
Learn how to Streamline Kubernetes Ops in Hybrid Clouds with AWS & Rafay

See for yourself how to turn static compute into self-service engines. Deploy AI and cloud-native applications faster, reduce security & operational risk, and control the total cost of Kubernetes operations by trying the Rafay Platform!