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autoscaling, Tailscale, Kubernetes, argo cd, Kubernetes v1.33,  AI, Nelm, Kubernetes, architecture, , architecture, Rackspace, GPUs, Kubernetes, Solo.io Kubernetes cloud foundry keptn cloud-native automation

Rackspace Brings GPU-as-a-Service to Spot Cloud Platform

Rackspace Technology is adding a GPU-as-a-service offering to its open market for cloud servers to help meet the rapidly growing demand for compute power in the AI age ...
Jeff Burt | November 6, 2024 | cloud computing, Nvidia, Rackspace, spot instances
docksec, devsecops, NVIDIA NIM, developers, AI, GenAI, cloud native developers Torc Trend Micro Advances DevSecOps via Kubernetes

NVIDIA Leverages Containers to Encapsulate AI Inference Models

Using NVIDIA NIM - essentially AI in a box - developers now have the ability to easily and quickly build GenAI applications for copilots, chatbots and more ...
Mike Vizard | June 3, 2024 | AI, chatbots, containers, copilots, developers, digital biology, GenAI, Nvidia
puzzle pieces

NVIDIA Acquires Run:AI to Run AI Workloads on Kubernetes More Efficiently

Run:ai enables IT teams to take advantage of container orchestration to schedule AI workloads across multiple GPUs ...
Mike Vizard | April 25, 2024 | gpu, kubernetes, Nvidia, performance, run:ai, workload management
CAST AI Kubernetes enterprises

Red Hat Extends Container Alliance With NVIDIA to 5G Edge

At the Mobile World Congress event this week, Red Hat and NVIDIA extended their alliance to include deployment of containerized artificial intelligence (AI) applications and services at the emerging 5G network edge ...
Mike Vizard | October 24, 2019 | 5G, containers, network edge, Nvidia, NVIDIA EGX, red hat, Red Hat OpenShift
NVIDIA on Container Platform for AI

Red Hat Partners with NVIDIA on Container Platform for AI

Red Hat and NVIDIA this week announced a joint effort under which AI applications can be built using containers, which then are deployed on instances of Red Hat OpenShift that are running ...
Mike Vizard | October 26, 2018 | artificial intelligence, containers, Nvidia, Openshift, red hat, RHEL
Nvidia Containerizes GPU-Accelerated Apps

Nvidia Containerizes GPU-Accelerated Apps

Nvidia is pushing Docker containers in new directions with the release of a Docker plugin that enables GPU-accelerated applications inside Docker containers. The plugin, which is available on GitHub, addresses a deep ...
Christopher Tozzi | July 18, 2016 | container-based applications, containers, containizerization, GPU acceleration, Nvidia

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Closing the Cloud Security Gap With Runtime Protection
25 March 2026
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4 February 2026
Solving Virtualization Dilemmas with Dell, Red Hat and Intel
Run and Scale Agentic AI Applications in Production
7 April 2026
Zero Trust for Agentic AI: Managing Non‑Human Identities at Scale
17 March 2026
Zero Trust for Agentic AI: Managing Non‑Human Identities at Scale
The AI Code Wave: How to Use Intelligent Quality Gates to Prevent Reviewer Burnout
10 March 2026
The AI Code Wave: How to Use Intelligent Quality Gates to Prevent Reviewer Burnout
Closing the Cloud Security Gap With Runtime Protection
25 March 2026
Closing the Cloud Security Gap With Runtime Protection
Zero Trust for Agentic AI: Managing Non‑Human Identities at Scale
17 March 2026
Zero Trust for Agentic AI: Managing Non‑Human Identities at Scale
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3 March 2026
The Prescriptive Path to AI Security: From Chaos to Scalable Governance

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ThreatHunter.ai Halts Hundreds of Attacks in the past 48 hours: Combating Ransomware and Nation-State Cyber Threats Head-On

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Predict 2026: AI is Forcing Cloud Native to Grow Up

January 9, 2026

IBM Adds Sovereign Core Platform Based on Red Hat OpenShift

January 15, 2026

Kubernetes v1.35 Arrived, Right On Workload-Aware Schedule

January 12, 2026

CNCF Survey Surfaces Widespread Adoption of Kubernetes Clusters

January 26, 2026

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Noma Security Identifies Security Flaw in Docker AI Assistant
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Noma Security Identifies Security Flaw in Docker AI Assistant

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Edera Advisory Highlights Remote Code Execution Flaw in Kubernetes

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Exploring Trends in Mainframe Application Modernization

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What is your organization’s primary approach to modernizing mainframe applications?(Required)
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What TWO factors MOST OFTEN drive your organization’s decisions to modernize specific mainframe modules? (Select up to 2 responses)(Required)
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What is your organization's strategic direction for mainframe applications over the next 3-5 years?(Required)

What factors MOST influence your organization's platform decisions for mainframe applications? (Select up to 2 responses)(Required)
What are the TOP TWO benefits your organization expects from mainframe modernization? (Select up to 2 responses)(Required)
How effective have AI-powered tools for code conversion been in your modernization efforts?(Required)

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