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- 2026-03-03VMware Cloud Foundation Blog
Using Harbor as an AI Model Registry
THE PROBLEM: WHY AI MODELS NEED A REGISTRY OCI ARTIFACTS: THE FOUNDATION What Is an OCI Artifact? The CNAI Model Spec Tools for Packaging Models as OCI Artifacts HOW HARBOR EVOLVED TO SUPPORT AI MODELS Harbor’s OCI Foundation The AI Model Journey The Architecture END-TO-END EXAMPLE: DOWNLOAD, CONVERT, PACKAGE, AND PUSH Prerequisites Step 1: Download the Model from Hugging Face Step 2: Convert to GGUF Format with llama. cpp Step 3: Package and Push the Model to Harbor Verifying in Harbor MODEL LIFECYCLE OPERATIONS IN HARBOR CONCLUSION Discover more from VMware Cloud Foundation (VCF) Blog Related Articles Implementing Cross-Region Replication with Harbor in VMware Cloud Foundation Securing Your Software Supply Chain with Harbor Using Harbor as a Proxy Cache for Cloud-Based Registries The container ecosystem solved software distribution decades ago: build an image, push it to a registry, pull it anywhere.
#vmware #cloud-foundation #kubernetes - 2026-03-03Digital Ocean
How DigitalOcean’s Agentic Inference Cloud powered by NVIDIA GPUs Achieved 67% Lower Inference Costs for Workato
How DigitalOcean’s Agentic Inference Cloud powered by NVIDIA GPUs Achieved 67% Lower Inference Costs for Workato How LLMs Process Requests and Why It Gets Expensive at Scale How KV-Aware Routing Addresses the Problem NVIDIA Dynamo with DOKS: The Orchestration Brain for KV-Aware Routing Inference Stack Architecture The Two Configurations Tested Configuration 1: No KV-Aware Routing Configuration 2: KV-Aware Routing Tuning TTFT: Prefill Cost & KV Reuse TPOT / ITL: Decode Load Balancing QPS & Token Throughput: GPU Utilization Conclusion About the author(s) Related Articles DigitalOcean Gradient™ AI GPU Droplets Optimized for Inference: Increasing Throughput at Lower the Cost LLM Inference Benchmarking - Measure What Matters Technical Deep Dive: How we Created a Security-hardened 1-Click Deploy OpenClaw By Rithish Ramesh , Karnik Modi , Piyush Srivastava , and Tim Kim Updated: March 4, 2026 11 min read Workato’s AI Research Lab is focused on helping customers extend their production automation with agentic AI capabilities, systems that can reason, act, and orchestrate work across the business. At Workato’s scale, processing 1 trillion automated workloads, LLM inference efficiency is a hard requirement: every millisecond of latency and every wasted GPU cycle directly impacts cost, throughput, and reliability.
#kubernetes - 2026-03-03Nirmata Blog
AI Bots Are Now Exploiting Your Automation — And Kubernetes Is Next
What just changed: compromise without merge When AI attacked AI — and lost Why this maps directly to Kubernetes risk Admission control becomes a must-have (not “nice to have”) The minimum “Bot-Resistant Kubernetes” guardrails pack 1) Stop the foothold from becoming a privileged workload 2) Contain the blast radius on identity 3) Enforce supply chain hygiene at the point of deployment 4) Make exfiltration structurally harder Operationalizing: audit → warn → enforce The missing control plane that prevents automated attacks A practical takeaway Last week, an autonomous bot called hackerbot-claw — describing itself as “an autonomous security research agent powered by claude-opus-4-5” — spent seven days systematically attacking CI/CD pipelines across major open source repositories. It targeted seven projects belonging to Microsoft, DataDog, Aqua Security, and multiple CNCF members.
#nirmata #kubernetes - 2026-03-03OpenShift Blog
Before starting a Virtualization Migration Assessment: A readiness framework for a successful outcome
Before starting a Virtualization Migration Assessment: A readiness framework for a successful outcome 1. Navigate infrastructure complexity 2.
#openshift - 2026-03-03Redhat Blog
Simplifying Windows Licensing with OpenShift Virtualization on ROSA
Simplifying Windows Licensing with OpenShift Virtualization on ROSA Addressing Windows licensing complexity Learn more 15 reasons to adopt Red Hat OpenShift Virtualization About the authors Courtney Grosch Aaren de Jong More like this General Availability for managed identity and workload identity on Microsoft Azure Red Hat OpenShift FedRAMP High Authorized Red Hat OpenShift Service on AWS GovCloud SREs on a plane | Technically Speaking Keep exploring Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share As organizations modernize their IT environments, Windows workloads continue to play a critical role across business operations. At the same time, licensing complexity and operational overhead are driving teams to evaluate more flexible and cost-effective paths to the cloud.
#kubernetes - 2026-03-03Redhat Blog
The speed of trust: How global leaders are moving AI from lab to lifecycle
The speed of trust: How global leaders are moving AI from lab to lifecycle Use Case 1: Accelerating data science productivity Use case 2: Driving operational efficiency and internal transformation Use case 3: High-stakes predictive analytics for risk and logistics The bottom line: AI is a strategy, not a feature About the author Red Hat More like this Why the future of AI depends on a portable, open PyTorch ecosystem Scaling the future of Open RAN: Red Hat joins the OCUDU Ecosystem Foundation Post-quantum Cryptography | Compiler Understanding AI Security Frameworks | Compiler Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share In the enterprise world, the AI hype has officially met the reality check. Organizations are no longer asking if AI can help; they are asking how fast it can deliver value without breaking the bank or the infrastructure.
#kubernetes - 2026-03-03Redhat Blog
What’s new with Red Hat OpenShift AI 3.3 UI: Moving from pilot to production
What’s new with Red Hat OpenShift AI 3.3 UI: Moving from pilot to production Centralized assets: The AI hub Governance at scale: Model-as-a-Service (MaaS) Developer velocity: Gen AI studio The production gap: Continuous evaluation and optimization Try Red Hat OpenShift AI Red Hat OpenShift AI (Self-Managed) | Product Trial About the authors Jenny Yi Jehlum Vitasta Pandit Taylor Smith More like this Why the future of AI depends on a portable, open PyTorch ecosystem How does real-world AI deliver value? The Ask Red Hat example Technically Speaking | Build a production-ready AI toolbox Technically Speaking | Platform engineering for AI agents Keep exploring Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share With our previous release of Red Hat OpenShift AI , we established a solid foundation for your enterprise AI infrastructure. Today, with the release of OpenShift AI 3.3, we are tackling the polarizing forces that often prevent AI projects from reaching production—the need for rigorous governance versus the demand for rapid developer access.
#kubernetes - 2026-03-02CNCF
KubeCon + CloudNativeCon Europe 2026 Co-located Event Deep Dive: Kubernetes on Edge Day
Who will get the most out of attending this event? What is new and different this year? What will the day look like? Should I do any homework first? Find your community! Posted on March 2, 2026 by Co-chairs: Katerina Arzhayev, Mars Toktonaliev CNCF projects highlighted in this post Kubernetes on Edge Day returns to KubeCon + CloudNativeCon Europe 2026 with a continued focus on where cloud native technologies meet the realities of distributed, resource-constrained, and often unpredictable environments. First launched at KubeCon + CloudNativeCon Europe in 2022, Edge Day has steadily grown alongside the ecosystem, reflecting how Kubernetes is increasingly deployed beyond traditional data centers and public clouds.
#cncf - 2026-03-02OpenShift Blog
Digital sovereignty in the banking industry
Digital sovereignty in the banking industry What is digital sovereignty? The role of open source in supporting digital sovereignty Hybrid multicloud for flexibility and resilience Red Hat: Your cloud, your rules Unlocking the future with sovereign AI The adaptable enterprise: Why AI readiness is disruption readiness About the authors Héctor Arias Armin Warda More like this AI in telco – the catalyst for scaling digital business The nervous system gets a soul: why sovereign cloud is telco’s real second act Keep exploring Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share A decade ago, neither nations nor financial institutions considered digital sovereignty a top priority, nor was it even relevant enough for a coffee discussion in most cases. Supply chain globalization was the mainstream for most procurement categories, and where and what to outsource was simply a matter of buying the best possible product or service at the best possible price, shaped only by existing sanctions, regulations, and other operational risks, such as having a backup vendor ready for critical supplies.
#openshift - 2026-03-02OpenShift Blog
Strategic momentum: The new era of Red Hat and HPE Juniper network automation
Strategic momentum: The new era of Red Hat and HPE Juniper network automation A single source of truth to automate JunOS networking devices Modernizing datacenter network operations with Juniper Apstra, Red Hat Openshift, and Red Hat Ansible Automation Platform event-driven capabilities Why this collaboration matters 5 steps to automate your business About the authors Dafne Mendoza Elle Universal More like this Redefining automation governance: From execution to observability at Bradesco Refactoring isn’t just technical—it’s an economic hedge Technically Speaking | Taming AI agents with observability Building practical self-healing IT | Technically Speaking Keep exploring Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share Network automation is essential for organizations today. However, simply implementing tools isn't enough; without a unified strategy, isolated automation efforts often hinder the progress they were meant to accelerate.
#openshift