Rafay – Blog

Rafay – Blog

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Kubernetes platform operations and automation.

What Is Platform as a Service (PaaS)? | Rafay
NewsMay 8, 2026

What Is Platform as a Service (PaaS)? | Rafay

Platform as a Service (PaaS) delivers a cloud‑based environment that bundles infrastructure, development tools, middleware and runtime services, letting developers focus on code rather than ops. It sits between IaaS’s raw resources and SaaS’s finished applications, offering auto‑scaling, built‑in security...

By Rafay – Blog
Siliconangle Team & Rafay Discuss All Things
NewsMay 8, 2026

Siliconangle Team & Rafay Discuss All Things

SiliconANGLE’s Stu Miniman sat down with Rafay Systems’ co‑founder and CEO on theCUBE to discuss the evolving role of edge computing. Both parties argued that the edge is not a threat to the cloud but a complementary layer that extends...

By Rafay – Blog
Defining the Programmable Edge | Rafay
NewsMay 8, 2026

Defining the Programmable Edge | Rafay

Rafay Systems introduced its "Programmable Edge" platform, which automatically deploys application instances in geographically distributed locations to bring services closer to end users. The solution promises to cut latency, improve conversion rates, and simplify global scaling without the need for...

By Rafay – Blog
Rafays AI Hackathon 2023 Summary | Rafay
NewsMay 8, 2026

Rafays AI Hackathon 2023 Summary | Rafay

Rafay wrapped up its 2023 hackathon centered on AI and generative AI, drawing eleven fully functional prototype submissions. Teams tackled scenarios such as AI‑assisted user interfaces, conversational bots, automated cost‑optimal instance recommendations, and natural‑language‑driven Terraform generation. Judges highlighted extensive use...

By Rafay – Blog
Untitled
NewsMay 8, 2026

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Enterprises evaluating Kubernetes management must choose between SaaS and hosted software delivery. The SaaS market is expanding 18% annually, with 70% of CIOs valuing agility and scalability. Hosted Rancher provides dedicated instances per client, while Rafay delivers a cloud‑native, multi‑tenant...

By Rafay – Blog
User Access Reports For K8s | Rafay
NewsMay 8, 2026

User Access Reports For K8s | Rafay

Rafay introduces automated user access reporting for Kubernetes, offering both on‑demand and scheduled generation via its web console, CLI, and REST API. The solution centralizes RBAC and integrates with corporate IdPs such as Okta, delivering CSV or JSON reports that...

By Rafay – Blog
Break Glass Workflows for Developer Access To K8s | Rafay
NewsMay 8, 2026

Break Glass Workflows for Developer Access To K8s | Rafay

In large‑scale Kubernetes environments, a "break‑glass" workflow provides developers with temporary, elevated access during emergencies such as outages or critical bugs. The process requires pre‑authorization, a documented justification, multi‑factor authentication, and time‑limited permissions that automatically expire. Automated approval steps and...

By Rafay – Blog
Introducing Rafays Generative AI Based Copilot | Rafay
NewsMay 8, 2026

Introducing Rafays Generative AI Based Copilot | Rafay

Rafay announced the launch of its Generative AI‑based Copilot, embedded directly within the Rafay console. The assistant lets platform teams, SREs, developers and data scientists ask natural‑language questions without leaving the UI, pulling answers from continuously updated product documentation. It...

By Rafay – Blog
The High Cost of Waiting: How GPU Idle Time Destroys AI Infrastructure ROI
NewsApr 22, 2026

The High Cost of Waiting: How GPU Idle Time Destroys AI Infrastructure ROI

GPU idle time is eroding AI infrastructure returns as NVIDIA H100 units, priced around $30,000, lose 60‑70% of value within two years after the Blackwell launch. A six‑month platform‑build delay can bleed more than $9 million for a 512‑GPU cluster, combining...

By Rafay – Blog
Rafay Achieves CNCF Kubernetes AI Conformance for v1.35 | Rafay
NewsApr 13, 2026

Rafay Achieves CNCF Kubernetes AI Conformance for v1.35 | Rafay

Rafay's Managed Kubernetes Service (MKS) has earned CNCF Kubernetes AI Conformance for version 1.35, the newest industry standard for running AI/ML workloads on Kubernetes. The certification proves MKS meets mandatory requirements across accelerator management, gang scheduling, GPU‑aware autoscaling, deep observability and...

By Rafay – Blog
Automated GPU Health Monitoring with NVIDIA NVSentinel on the Rafay Platform
NewsApr 12, 2026

Automated GPU Health Monitoring with NVIDIA NVSentinel on the Rafay Platform

GPU clusters cost tens of thousands of dollars per unit, and hardware faults can halt AI training and inference, jeopardizing service‑level agreements. NVIDIA’s open‑source NVSentinel adds continuous health monitoring, automatic quarantine, and self‑healing to Kubernetes‑managed GPU fleets. Rafay integrates NVSentinel...

By Rafay – Blog
AI Factories Will Be Won on Efficiency | Rafay + Kubex Partnership
NewsApr 10, 2026

AI Factories Will Be Won on Efficiency | Rafay + Kubex Partnership

Enterprises are moving from AI experimentation to building "AI factories"—repeatable, governed platforms that can train, deploy, and operate models at scale. Rafay and Kubex announced a partnership that combines Rafay's Kubernetes‑based AI orchestration with Kubex's autonomous GPU optimization. The joint...

By Rafay – Blog
Compute Domains & Multi-Node NVLink in Kubernetes: Scaling GPU Workloads
NewsApr 9, 2026

Compute Domains & Multi-Node NVLink in Kubernetes: Scaling GPU Workloads

NVIDIA’s ComputeDomains add a Kubernetes‑native layer that dynamically creates and tears down multi‑node NVLink communication groups for GPU workloads. By extending the Dynamic Resource Allocation driver, the feature makes cross‑node bandwidth a schedulable resource rather than a static configuration. This...

By Rafay – Blog
The Telco AI Imperative: From Connectivity to Sovereign AI Infrastructure
NewsApr 8, 2026

The Telco AI Imperative: From Connectivity to Sovereign AI Infrastructure

Telecommunications operators are poised to shift from pure connectivity to sovereign AI infrastructure by leveraging their distributed data centers, edge fiber, and regulatory trust. The surge in AI training and inference workloads creates demand for GPU‑as‑a‑Service, token‑as‑a‑service, and AI marketplaces...

By Rafay – Blog
Rafay – Blog | Pulse