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Generative AI capabilities are aimed at helping network engineers more quickly troubleshoot complex cloud, network, and internet issues.
Juniper’s AI-Native Networking Platform is aimed at unifying its campus, branch and data center networking products with a common AI engine and Marvis virtual network assistant.
The deal is aimed at businesses that want to rapidly deploy generative AI applications but don’t have the infrastructure or in-house skills to do it alone.
Rising workloads, tougher sustainability regulations, and cost pressures will increasingly squeeze data center operators in 2024 and force tradeoffs between business expansion and infrastructure reliability.
One of the company’s first AI-centric data centers is set to open in Jeffersonville, Indiana, in 2026.
AI Assist lets IT teams use natural language prompts in Forward Networks' flagship digital-twin platform to more quickly identify configuration issues and security vulnerabilities across network devices.
Enterprises are moving to a distributed data center model for real-time processing at the edge.
The goal is platform neutrality, although Intel still expects to sell its HPC solutions.
Startup Hatz AI aims to help MSPs offer AI-as-a-service options to their SMB customers by providing AI applications and agents and custom LLMs.
Top AI use cases for large enterprises include IT process automation and security and threat detection, according to new research from IBM.