Merge pull request #7531 from saurabhraghuvanshii/kub

removed blackQuote from kubcon 2025-cncf-to-standardize-ai-workloads

Author: Rajesh-Nagarajan-11

src/collections/news/2025/2025-11-23-kubecon-2025-cncf-to-standardize-ai-workloads/index.mdx

@@ -21,7 +21,6 @@ published: true
 
 
 import { NewsWrapper } from "../../News.style.js";
-import Blockquote from "../../../../reusecore/Blockquote";
 import BlockquoteAlt from "../../../../reusecore/Blockquote/Blockquote-alt-style";
 import kubeconImage from "./kubecon25.webp";
 
@@ -31,11 +30,7 @@ Ten years after standardizing Kubernetes, the Cloud Native Computing Foundation
 
 Announced on November 11 the Certified Kubernetes AI Conformance Program creates  open, community-defined standards for running AI workloads on Kubernetes. Kubernetes providers in the program certify their products for various types of AI workloads.
 
-<BlockquoteAlt
- quote="It starts with a simple focus on the kind of things you really need to make AI workloads work well on Kubernetes, Such as Dynamic Resource Allocation (DRA) across GPUs, TPUs, and all of the different types of AI hardware."
- person="Chris Aniszczyk"
- title="CTO, CNCF"
-/>
+Chris Aniszczyk, CTO of CNCF, said it starts with a simple focus on the kind of things you really need to make AI workloads work well on Kubernetes, such as Dynamic Resource Allocation (DRA) across GPUs, TPUs, and all of the different types of AI hardware.
 
 CNCF membership is squarely in support, Anisczyck said. For example, “Google’s obviously interested in this because they offer their TPUs, and they saw the success of what happened with the original Kubernetes conformance program, which attracted a lot of people to the platform.”
 
@@ -59,23 +54,15 @@ Everyone is familiar with the offerings of the large hyperscalers for cloud comp
 
 **Vultr** , for example, is competing with the major cloud provider by offering a wide array of hardware options for hosting AI workloads, including AMD and NVIDIA GPUs, virtual CPUs, bare metal, and Kubernetes.
 
-<BlockquoteAlt
- quote="Vultr is an AI infrastructure specialist, Our core platform is a public cloud platform. We’re the functional equivalent of a hyperscaler. We are an alternative to AWS, GCP, or Azure, with the same global reach."
- person="Kevin Cochrane"
- title="CMO, Vultr"
-/>
+Kevin Cochrane, CMO of Vultr, said Vultr is an AI infrastructure specialist, that their core platform is a public cloud platform, and that they’re the functional equivalent of a hyperscaler—an alternative to AWS, GCP, or Azure, with the same global reach.
 
 “We are also one of the first to start specializing in AI infrastructure, the first one taking GPUs from NVIDIA. And most recently, the first to market with AMD GPUs. So currently, we’re the only global platform that offers a choice between NVIDIA and AMD,” Cochrane added. 
 
 **Mirantis**, on the other hand, offers a full software stack private cloud solution for smaller organizations running their own GPUs. Mirantis software builds and manages private GPU clouds for their customers, said Dom Wilde, General Manager, Core Products. 
 
 Their customers “are trying to figure out how to deliver monetized services around GPU technology. It started with GPU as a service, where we are helping companies rent some GPU capacity that is notoriously hard to get ahold of,” Wilde said.
 
-<BlockquoteAlt
- quote="Private GPU deployments also support data and application sovereignty, which we recognize as an opportunity to be a little disruptive around the hyperscalers, We help these companies reduce time to monetization for their GPUs and offer them expertise that can be difficult to obtain."
- person="Dom Wilde"
- title="General Manager, Core Products"
-/>
+Dom Wilde, General Manager of Core Products at Mirantis, said private GPU deployments also support data and application sovereignty, which they recognize as an opportunity to be a little disruptive around the hyperscalers, and that they help companies reduce time to monetization for their GPUs and offer expertise that can be difficult to obtain.
 
 ---
 
@@ -87,11 +74,7 @@ In their sponsored keynote, **Solo.io** compared AI agents to microservices, hig
 
 **Buoyant**, the company behind the LinkerD service mesh, agrees. They announced LinkerD for AI agents at the conference, saying their customers were asking for it. 
 
-<Blockquote
- quote="The service mesh provides security and reliability in a uniform way across the platform. We are starting with MCP because the first thing that you want agents to do is to be able to access the existing resources. Let’s say you’re building an agentic workflow for automating a business process. You’ll benefit from the service mesh providing zero trust, so you exdecute the business process with confidence, We give you the same capabilities that LinkerD gives you for microservices. We know there’s more to do, but that’s the starting point."
- person="William Morgan"
- title="CEO, Buoyant"
-/>
+William Morgan, CEO of Buoyant, said the service mesh provides security and reliability in a uniform way across the platform. They are starting with MCP because the first thing you want agents to do is access existing resources—for example, in an agentic workflow for automating a business process, you benefit from the service mesh providing zero trust so you execute the business process with confidence, with the same capabilities LinkerD gives you for microservices, though there is more to do.
 
 Buoyant also announced the availability of LinkerD for .NET applications on Windows.
 
@@ -103,11 +86,7 @@ Founding member of the Technical Oversight Committee (TOC) and GitOps creator Al
 
 ConfigHub provides a new paradigm for provisioning, deploying, and operating cloud applications and infrastructure, including but not limited to Kubernetes.
 
-<Blockquote
- quote="ConfigHub keeps the configuration clean and up to date, and then maps it into the running state to catch any drift at the same time, There’s actually a missing notion of a collective sense of truth for the configuration, which is what’s relevant to operations. So that’s what we are bringing together."
- person="Alexis Richardson"
- title="Founding Member of Technical Oversight Committe(TOC) and GitOps Creator"
-/>
+Alexis Richardson, founding member of the Technical Oversight Committee (TOC) and GitOps creator, said ConfigHub keeps the configuration clean and up to date and maps it into the running state to catch drift at the same time, and that there is a missing notion of a collective sense of truth for configuration that is what is relevant to operations—that is what they are bringing together.
 
 Similarly, Lee Calcote, CEO of Layer5, the company behind the CNCF Meshery project, announced their new product called Kanvas Designer, which provides an interactive, shared space for collaboration on configuration across an enterprise’s Kubernetes estate.
 
@@ -123,29 +102,17 @@ Similarly, Lee Calcote, CEO of Layer5, the company behind the CNCF Meshery proje
 
 A lot of the current projects and vendor product focus appears to be on “next level” capabilities i.e. assuming Kubernetes is already widely used as the cloud deployment platform, and looking to solve next-level challenges.  
 
-<Blockquote
- quote="Let’s call it day two operations. People are saying, yes we have Kubernetes, and it’s working well. What do we need to do next?"
- person="Chris Aniszczyk"
- title="CTO, CNCF"
-/>
+Chris Aniszczyk, CTO of CNCF, described it as day two operations: people already have Kubernetes working well and are asking what to do next.
 
 “Maybe we need an IDP (Internal Developer Platform), or we need to improve how we do observability. People always care about improving observability, which is especially crucial in the age of AI,” he said. “I basically call this platform engineering, as a way to improve how you build and run platforms in your company, so we have projects such as Backstage, Argo, and Crossplane for example,” he added. “We’ve learned from past KubeCons that if we just purely focused on Kubernetes, we wouldn’t have such a wide ecosystem.”
 
 In this context Chronosphere, which builds observability solutions specifically for Kubernetes, announced their next-level observability product release with AI guided troubleshooting.
 
-<BlockquoteAlt
-  quote="Our approach is to focus on where we can differentiate ourselves with respect to the developer experience, The first is this idea of guided troubleshooting where we study the behavior of the very best developers in the organization, who approach troubleshooting from the position of deep knowledge about the system. We figured out how to use AI to expose that same hypothesis-driven approach to troubleshooting for those who don’t have that deep knowledge."
-  person="Colleen White"
-  title="Head of Product, Chronosphere"
-/>
+Colleen White, Head of Product at Chronosphere, said their approach is to focus on where they can differentiate with respect to the developer experience, starting with guided troubleshooting: they study how the best developers in the organization troubleshoot from deep knowledge of the system and use AI to expose that same hypothesis-driven approach to those who do not have that deep knowledge.
 
 And Dash0, a new company that is focusing on simplifying observability data collection and analysis entirely based on OpenTelemetry, announced its new version as well. 
 
-<Blockquote
- quote="We launched last year and right from the beginning, it was really about being OpenTelemetry native. In other words, implementing the first tool around OpenTelemetry, the new standard for observability. Not just integrating it. A lot of the observability companies treat OpenTelemetry as just one input out of many. We just treat the data as OpenTelemetry all the time. There’s also something called the semantic convention of open Telemetry, which basically specifies a naming convention, and by doing so, we can now aggregate and create context and say, give me all the logs, metrics, and traces of that part because they all use the same tag name."
- person="MIrko Novakovic"
- title="CEO, Dash0"
-/>
+MIrko Novakovic, CEO of Dash0, said they launched last year with a focus on being OpenTelemetry native—implementing the first tool around OpenTelemetry, the new standard for observability, not merely integrating it. Many observability companies treat OpenTelemetry as one input among many; Dash0 treats the data as OpenTelemetry throughout. The semantic convention of OpenTelemetry specifies naming so they can aggregate and create context—for example, to pull all logs, metrics, and traces for a part because they share the same tag name.
 
 ---