The AI & Cloud-Native Infrastructure Blog

This is part-1 in a blog series on Slurm. In the first part, we will provide some introductory concepts about Slurm. We are not talking about the fictional soft drink in the world of Futurama. Instead, this blog is about Slurm (Simple… Read More

In the previous blog, we discussed how Project Slinky bridges the gap between Slurm, the de facto job scheduler in HPC, and Kubernetes, the standard for modern container orchestration. Project Slinky and Rafay’s GPU Platform-as-a-Service (PaaS) combined provide enterprises and cloud… Read More

As high-performance computing (HPC) environments evolve, there’s an increasing demand to bridge the gap between traditional HPC job schedulers and modern cloud-native infrastructure. Project Slinky is an open-source project that integrates Slurm, the industry-standard workload manager for HPC, with Kubernetes, the de… Read More

In Kubernetes, exposing services of type LoadBalancer in on-prem or bare-metal environments typically requires a dedicated "Layer 2" or "BGP-based" software load balancer—such as MetalLB. While MetalLB has been the go-to solution for this use case, recent advances in Cilium, a… Read More

In the rapidly evolving landscape of artificial intelligence (AI), nations and enterprises are increasingly prioritizing sovereignty—gaining control over their data, infrastructure, and AI capabilities. This shift is not merely about compliance; it's about fostering innovation, ensuring security, and maintaining cultural… Read More

In the rapidly evolving landscape of artificial intelligence (AI), enterprises and nations are increasingly prioritizing sovereignty—gaining control over their data, infrastructure, and AI capabilities. Recognizing this imperative, Rafay Systems has integrated its platform with NVIDIA's Enterprise AI Factory, a comprehensive… Read More

Enterprises are increasingly leveraging Amazon SageMaker AI to empower their data science teams with scalable, managed machine learning (ML) infrastructure. However, without proper administrative controls, SageMaker AI usage can lead to unexpected cost overruns and significant waste. In large organizations… Read More

AI workloads are growing more complex by the day, and platform teams are under immense pressure to deliver them at scale—securely, efficiently, and with speed. Modern AI workloads require specialized hardware such as GPUs and TPUs to provide the computational… Read More

In this step-by-step guide, the Bioinformatics data scientist will use Rafay's end user portal to launch a well resourced remote VM and run a series of BioContainers with Docker. Prerequisites Access to Rafay's end user self-service portal (i.e. Developer Hub)… Read More