Kubernetes
Kubernetes
Building an AI factory?
How the Rafay Platform's Token Factory capabilities can monetize AI services.
Articles
Bring Rafay Into Your AI Workflows with the Rafay MCP Server
The Rafay MCP Server brings secure, AI-assisted visibility to Kubernetes and platform operations, letting teams use natural language to inspect clusters, workloads, blueprints, and environments through MCP-compatible AI tools.
Kubernetes v1.36 for Rafay MKS
Support for Kubernetes v1.36 (codename Haru) is now available on the Rafay Operations Platform for MKS cluster types, covering both new cluster provisioning and in-place upgrades. Every Rafay platform feature has been validated on this release, and v1.36 clusters managed by Rafay are CNCF conformant.
Why CNCF Kubernetes AI Conformance Matters and how Rafay Is Leading the Way
The CNCF Kubernetes AI Conformance program sets the industry standard for running AI workloads on Kubernetes. Rafay's MKS has achieved certification for v1.35, here's what the standard covers and why it matters for enterprises and neoclouds building on GPU infrastructure.
Automated GPU Health Monitoring with NVIDIA NVSentinel on the Rafay Platform
Every GPU node monitored. Faulty nodes automatically quarantined and remediated. The Rafay Platform and NVIDIA NVSentinel make that a fleet-wide guarantee, not a per-cluster aspiration.
OpenClaw on Kubernetes: A Platform Engineering Pattern for Always-On AI
A deep dive into OpenClaw as a gateway-centric AI runtime and how platform teams can deploy, secure, and scale it as a governed service on Kubernetes.
Scaling Trust: The Fortanix and Rafay Integration for Enterprise Confidential AI
Learn how the Fortanix and Rafay integration enables confidential AI for enterprises—protecting sensitive data while running AI workloads on secure, governed GPU platforms.
Run nvidia-smi on Remote GPU Kubernetes Clusters Using Rafay Zero Trust Access
See how infrastructure operators can securely validate GPU health in remote Kubernetes clusters by running nvidia-smi using Rafay’s Zero Trust Kubectl Access workflow.
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.
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.
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