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Juniper advances AI networking software with congestion control, load balancing

Network World

Juniper Networks is advancing the software for its AI-Native Networking Platform to help enterprise customers better manage and support AI in their data centers. The HPE acquisition target is also offering a new validated design for enterprise AI clusters and has opened a lab to certify enterprise AI data center projects.

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Red Hat OpenShift 4.18 expands cloud-native networking

Network World

This is particularly useful for integration with third-party load balancers needing direct access to backend OpenShift pods or VMs, she said. With OpenShift 4.18, Red Hat is integrating a series of enhanced networking capabilities, virtualization features, and improved security mechanisms for container and VM environments.

Network 380
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10 most in-demand enterprise IT skills

CIO Business Intelligence

Python Python is a programming language used in several fields, including data analysis, web development, software programming, scientific computing, and for building AI and machine learning models. Job listings: 90,550 Year-over-year increase: 7% Total resumes: 32,773,163 3.

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Cisco Live: AI takes center stage

Network World

Ultimately, today’s hyper-extended enterprises will be much easier to manage when it’s possible to look all the way down the stack, all the way into the infrastructure and to the network, to understand what is happening and leverage that data to predict and prevent outages and other problems, Robbins said.

Firewall 535
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4 Tips for Processing Real-Time Data

CIO Business Intelligence

Real-time data processing is an essential capability for nearly every business and organization. Real-time Data Scaling Challenges. Several factors make such scaling difficult: Massive Data Growth: Global data creation is projected to exceed 180 zettabytes by 2025. On-Premises Requirements for Sensitive Data.

Data 290
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Kyndryl bolsters its Bridge infrastructure services

Network World

Bridge integrates management, observability, and automation tools while using AI and machine learning to analyze the aggregated data and provide IT operations teams with the intelligence they need to keep systems running at peak performance, according to Kyndryl CTO Antoine Shagoury.

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What is an AI server? Why artificial intelligence needs specialized systems

Network World

To balance speed, performance and scalability, AI servers incorporate specialized hardware, performing parallel compute across multiple GPUs or using other purpose-built AI hardware such as tensor processing units (TPUs), field programmable gate array (FPGA) circuits and application-specific integrated circuit (ASIC).