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Unlock the Next Step: From Cisco AI PODs to Self-service GPU Clouds with Rafay

Dynamic Resource Allocation for GPU Allocation on Rafay's MKS (Kubernetes 1.34)

GPU/Neocloud Billing using Rafay’s Usage Metering APIs

Cloud providers offering GPU or Neo Cloud services need accurate and automated mechanisms to track resource consumption.

What is Agentic AI?

Agentic AI is the next evolution of artificial intelligence—autonomous AI systems composed of multiple AI agents that plan, decide, and execute complex tasks with minimal human intervention.

Deep Dive into nvidia-smi: Monitoring Your NVIDIA GPU with Real Examples

Whether you’re training deep learning models, running simulations, or just curious about your GPU’s performance, nvidia-smi is your go-to command-line tool.

Introduction to Dynamic Resource Allocation (DRA) in Kubernetes

In this post, we’ll look at how a new GA feature in Kubernetes v1.34 — Dynamic Resource Allocation (DRA) — aims to solve these problems and transform GPU scheduling in Kubernetes.

Rethinking GPU Allocation in Kubernetes

Kubernetes has cemented its position as the de-facto standard for orchestrating containerized workloads in the enterprise.

Neocloud Providers: Powering the Next Generation of AI Workloads

Artificial intelligence teams face critical challenges today: Limited GPU availability, orchestration complexity, and escalating costs threaten to slow AI innovation.

Understanding ArgoCD Reconciliation: How It Works, Why It Matters, and Best Practices

ArgoCD is a powerful GitOps controller for Kubernetes, enabling declarative configuration and automated synchronization of workloads.

The Hidden Costs of Running Generative AI Workloads—And How to Optimize Them

Generative AI has revolutionized what’s achievable in modern enterprises—from large language models (LLMs) powering virtual assistants to diffusion models automating complex image generation workflows.

Accelerating AI App Delivery with the Right Infrastructure Orchestration Strategy

AI application delivery is fundamentally more complex than traditional software delivery for cloud-native workloads.

Choosing the Right Fractional GPU Strategy for Cloud Providers

As demand for GPU-accelerated workloads soars across industries, cloud providers are under increasing pressure to offer flexible, cost-efficient, and isolated access to GPUs.

Demystifying Fractional GPUs in Kubernetes: MIG, Time Slicing, and Custom Schedulers

As GPU acceleration becomes central to modern AI/ML workloads, Kubernetes has emerged as the orchestration platform of choice.

Custom GPU Resource Classes in Kubernetes

In the modern era of containerized machine learning and AI infrastructure, GPUs are a critical and expensive asset.

The Rise of AI Agents: From Zero to Production

Artificial Intelligence (AI) has moved far beyond simple chat bots and rigid automation. At the frontier of this evolution lies a powerful new paradigm : AI Agents.

Configure and Manage GPU Resource Quotas in Multi-Tenant Clouds

In multi-tenant GPU cloud environments, effective resource management is critical to ensure fair usage and prevent contention.

Enforcing ServiceNow-Based Approvals with Rafay

Enterprises often require explicit approvals before critical actions can proceed especially when provisioning infrastructure or making configuration changes.

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.

What Is a Sovereign Cloud and Why Does It Matter?

A sovereign cloud is a cloud computing solution that ensures data remains within a country’s borders and complies with local laws.

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 drink in the world of Futurama.

Self-Service Slurm Clusters on Kubernetes with Rafay GPU PaaS

Project Slinky and Rafay’s GPU Platform-as-a-Service (PaaS) combined provide enterprises and cloud providers with a transformative combination that enables secure, multi-tenant, self-service access to Slurm-based HPC environments on shared Kubernetes clusters.

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 infrastructure.

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” software load balancer—such as MetalLB.

Unlocking Sovereign AI: Rafay’s Role in NVIDIA and Accenture’s Strategic Alliance

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.