Slash EKS Cluster Costs by 20-30% Instantly with AWS Graviton
If you’re running Kubernetes workloads on Amazon EKS backed by Intel-based instances, you’re leaving significant savings on the table. In this blog, we will... Read more.
Introduction to Slurm-The Backbone of HPC
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... Read more.
Self-Service Slurm Clusters on Kubernetes with Rafay GPU PaaS
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... Read more.
Project Slinky: Bringing Slurm Scheduling to Kubernetes
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... Read more.
Using Cilium as a Kubernetes Load Balancer: A Powerful Alternative to MetalLB
In Kubernetes, exposing services of type LoadBalancer in on-prem or bare-metal environments typically requires a dedicated “Layer 2” or “BGP-based”... Read more.
Powering GPU Cloud Billing: Rafay + Monetize360 Integration
In the fast-evolving world of GPU cloud services and AI infrastructure, accurate, flexible, and real-time billing is no longer optional — it’s mission critical.... Read more.
Cost Management for SageMaker AI: The Case for Strong Administrative Guardrails
Enterprises are increasingly leveraging Amazon SageMaker AI to empower their data science teams with scalable, managed machine learning (ML) infrastructure. However,... Read more.
Get Started with BioContainers using Rafay
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... Read more.
BioContainers: Streamlining Bioinformatics with the Power of Portability
In today’s fast-paced world of bioinformatics, the constant evolution of tools, dependencies, and operating system environments presents a significant challenge.... Read more.
GPU PaaS™ (Platform-as-a-Service) for AI Inference at the Edge: Revolutionizing Multi-Cluster Environments
Enterprises are turning to AI/ML to solve new problems and simplify their operations, but running AI in the datacenter often compromises performance. Edge inference... Read more.