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NetBox Labs is expanding its network management platform this week with a pair of new products designed to tackle the growing challenges of infrastructure documentation and configuration management. Beevers explained that NetBox Discovery makes it easy for operators to do two things: Get data into NetBox right away.
The chipmaker has released a series of what it calls Enterprise Reference Architectures (Enterprise RA), which are blueprints to simplify the building of AI-oriented data centers. Building an AI-oriented data center is no easy task, even by data center construction standards.
Cisco is boosting network density support for its data center switch and router portfolio as it works to deliver the network infrastructure its customers need for cloud architecture, AI workloads and high-performance computing.
The Linux Foundations networking division (LF Networking) is continuing to grow both its mandate and project roster in 2025. As part of the roadmap, a pair of open-source networking projects were announced that will bring new AI capabilities. AI in networking : 74% see open source as foundational to AI success in networks.
Network-as-a-service startup Nile has added an AI-based tool aimed at helping enterprise customers provision and operatethe vendors Campus Network-as-a-Service deployments. The new feature, Nile Nav is aimed at reducing the complexity of network provisioning to save money and time, according to the company.
Networking software provider Aviz Networks today announced a $17 million Series A funding round to accelerate its growth in open networking solutions and artificial intelligence capabilities. The latest addition is the company’s network AI assistant, which aims to assist with operations and management.
Over the last several years, NetBox has established itself as a widely used open-source tool for understanding and modeling networks. 2023, the company announced previews of its network drift configuration technology known as NetBox Assurance. Were all in on AI, Kristopher Beevers, CEO of NetBox Labs, told Network World.
Arista Networks is expecting a potential revenue spike of $1.5 billion from AI-based networking growth through 2025. Arista has between 10 and 15 classic enterprise accounts that are trialing AI networks, but they have a very low number of GPUs involved in the pilots, Ullal said. 30, an increase of 7.1%
Even as demand for data infrastructure surges to an all-time high, Equinix is planning to lay off 3% of its workforce, suggesting a growing skills mismatch in the industry. According to Goldman Sachs , data center demand in the US alone is projected to nearly triple by 2030, driving more than $1 trillion in investment.
Today’s networks face a multitude of challenges as they become more complex and distributed. But AI holds the potential to improve IT networks. But AI holds the potential to improve IT networks. So what exactly is AI networking, how does it work and what are its top use cases?
The Open Networking User Group (ONUG) set its sights on world of AI networking this week. As AI usage grows, the core foundation that enables current and future potential is the power of the network. That’s a message that was echoed time and again during the ONUG AI Networking Summit , held in New York (and webcast).
As data centers evolve from traditional compute and storage facilities into AI powerhouses, the demand for qualified professionals continues to grow exponentially and salaries are high. The rise of AI, in particular, is dramatically reshaping the technology industry, and data centers are at the epicenter of the changes.
VMware by Broadcom has unveiled a new networkingarchitecture that it says will improve the performance and security of distributed artificial intelligence (AI) — using AI and machine learning (ML) to do so. The company said it has identified a need for more intelligent edge networking and computing.
As 2025 kicked off, I wrote a column about the network vendor landscape specifically, which networking players will step up and put their efforts into finding new applications with solid business benefits that could enable a network transformation. Its not an application, but an application architecture or model.
Networking skills are evolving to keep pace with broader technology trends, and network pros need to proactively develop new competencies in areas such as AI and automation to stay relevant. From AI and network automation to cloud computing and security, the critical networking skills needed to excel in 2025 are shifting.
Massive global demand for AI technology is causing data centers to increase spending on servers, power, and cooling infrastructure. As a result, data center CapEx spending will hit $1.1 AI servers can be $100,000 to $200,000, especially when equipped with the latest Nvidia CPUs, Fung tells Network World.
But there are a number of groundbreaking women who have been highly successful in networking, and were highlighting 20 of them (in alphabetical order). She joined Okta as CIO in 2020, and left Okta for her current role at F5 in January 2025, where she is tasked with building a data- and AI-first enterprise.
Cisco has unwrapped a new family of data center switches it says will help customers more securely support large workloads and facilitate AI development across the enterprise. The first major service these DPUs will perform on the switch will be Layer 4 stateful segmentation throughCiscos Hypershield security architecture.
For starters, generative AI capabilities will improve how enterprise IT teams deploy and manage their SD-WAN architecture. SD-WAN which stands for software-defined wide area network has been around for a decade, pitched to enterprises as a way to cut costs and improve WAN flexibility.
Lightmatter has announced new silicon photonics products that could dramatically speed up AI systems by solving a critical problem: the sluggish connections between AI chips in data centers. Todays AI chips often sit idle waiting for data to arrive, wasting computing resources and slowing down results.
Jokel talked with Network World about three key technological trends Ciscos is actively pursuing: the rise of agentic AI, preparing for the quantum era in networking and security, and addressing the growing demand for sustainable and efficient infrastructure. We also need to look at how we network together quantum computers.
This latest version introduces substantial improvements to networking capabilities, security features and management tools. StarlingX got its start back in 2018 as a telecom and networking focused version of the open-source OpenStack cloud platform. The Open Infrastructure Foundation is out with the release of StarlingX 10.0,
Data centers this year will face several challenges as the demand for artificial intelligence introduces an evolution in AI hardware, on-premises and cloud-based strategies for training and inference, and innovations in power distributionsall while opposition to new data center developments continues to grow.
Fortinet is expanding its data loss prevention (DLP) capabilities with the launch of its new AI-powered FortiDLP products. The FortiDLP platform provides automated data movement tracking, cloud application monitoring and endpoint protection mechanisms that work both online and offline.
Zero Trust architecture was created to solve the limitations of legacy security architectures. It’s the opposite of a firewall and VPN architecture, where once on the corporate network everyone and everything is trusted. In today’s digital age, cybersecurity is no longer an option but a necessity.
One of the most striking examples is the Silk Road , a vast network of trade routes that connected the East and West for centuries. However, trade along the Silk Road was not just a matter of distance; it was shaped by numerous constraints much like todays data movement in cloud environments.
Arista Networks is adding new features to its campus networking portfolio to help enterprise customers more easily group and manage switches. SWAG is implemented in the Extensible Operating System (EOS), Arista’s flagship network operating system that runs across its switch and router portfolio.
The open-source Wireshark network protocol analyzer has been a standard tool for networking professionals for decades. In recent years, organizations have increasingly moved workloads to the cloud, where they have not had the same network visibility. He emphasized that both things are important. Whats inside Stratoshark?
Broadcom on Tuesday released VMware Tanzu Data Services, a new “advanced service” for VMware Cloud Foundation (VCF), at VMware Explore Barcelona. VMware Tanzu for MySQL: “The classic web application backend that optimizes transactional data handling for cloud native environments.” Is it comprehensive?
The various agencies have each approached the challenge of securing the network edge from a different angle, releasing their reports on Tuesday. Foreign adversaries routinely exploit software vulnerabilities in network edge devices to infiltrate critical infrastructure networks and systems.
Zero Trust is a term coined by John Kindervag while he was an analyst at Forrester Research to describe a strategic framework in which nothing on the network is trusted by default – not devices, not end users, not processes. Everything must be authenticated, authorized, verified and continuously monitored.
Scaling AI data centers requires testing throughout the design and build process every chip, cable, interconnect, switch, server, and GPU needs to be validated, Keysight says. Scaling AI data centers requires more than component-level validation.
The latest version of the world’s leading enterprise Linux platform introduces more than 70 enhancements, ranging from advanced networking capabilities to improved container management tools. introduces significant networking improvements designed to enhance connectivity and security across hybrid environments. release notes state.
The next phase of this transformation requires an intelligent data infrastructure that can bring AI closer to enterprise data. The challenges of integrating data with AI workflows When I speak with our customers, the challenges they talk about involve integrating their data and their enterprise AI workflows.
That worked when everything lived in the corporate data center. The problem with networking like its 1999 Lets face it: MPLS had its moment. Paying a premium to backhaul traffic to a central data center made sense when that was where all applications lived. The concept of a traditional branch network just doesnt apply anymore.
Physical isolation from IT networks protects OT systems against threats, but it also prevents companies from driving more automation, efficiency, and intelligence into business operations. Enterprises also want to extract data from OT systems, which requires network connectivity.
This will enhance organizations’ abilities to customize large language models, use inference performance engineering for infrastructure efficiency, and partner in the open-source ecosystem to enable broader choices for hardware and chip architecture. “AI
Today’s enterprises need more help managing and securing their distributed networking environments than they ever have, Cisco concludes in its Global Networking Trends Report. Networkarchitectures are more sophisticated, more complex, and spread across more multi-clouds and multi-vendors than ever.
Supermicro announced the launch of a new storage system optimized for AI workloads using multiple Nvidia BlueField-3 data processing units (DPU) combined with an all-flash array. These units support 400Gb Ethernet or InfiniBand networking and provide hardware acceleration for demanding storage and networking workloads.
A zero trust architecture reduces a network's attack surface and lowers the risk of a data breach. Here are some tips when implementing such an architecture.
The CSLU is a tool used primarily in smaller, on-premises and air-gapped networks as a way to manage Cisco licenses without having to resort to the more complex cloud-based Cisco Smart Licensing. The second flaw, CVE-2024-20440 , could allow an attacker to obtain log files containing sensitive data such as API credentials.
Attackers are using encrypted channels to bypass traditional defenses, concealing malware, phishing campaigns, cryptomining/cryptojacking, and data theft within encrypted traffic. This approach stops encrypted threats from reaching critical applications and systems, providing proactive protection that doesnt rely on shared network access.
Secure Access Service Edge (SASE) is a networkarchitecture that combines software-defined wide area networking (SD-WAN ) and security functionality into a unified cloud service that promises simplified WAN deployments, improved efficiency and security, and application-specific bandwidth policies. billion by 2025. What is SASE?
Nvidia has partnered with leading cybersecurity firms to provide real-time security protection using its accelerator and networking hardware in combination with its AI software. BlueField data processing units (DPUs) are designed to offload and accelerate networking traffic and specific tasks from the CPU like security and storage.
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