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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-sourcenetworking projects were announced that will bring new AI capabilities. That said, the same survey also identified some clear challenges.
Networking software provider Aviz Networks today announced a $17 million Series A funding round to accelerate its growth in opennetworking solutions and artificialintelligence 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.
A new player in the networking industry is tackling the unique challenges of AI infrastructure at hyperscale. Sadana spent 17 years at Arista and prior to that was at Cisco for eight years, so hes no stranger to the networking world. We are here to build the most efficient AI networking solutions that are out there, Sadana said.
After more than a decade as an independent open-source foundation, the OpenStack project is joining theLinux Foundation in a move aimed at accelerating collaboration across the open infrastructure ecosystem. Fifteen years ago, Rackspace got together with NASA and created the open-source OpenStack project.
When AI agents begin to proliferate, a new, open structure will be needed so they can securely communicate and collaborate together to solve complex problems, Cisco stated. AGNTCY, meanwhile, will help develop the industry open-source cooperation Cisco Outshift envisions for the Internet of Agents and more.
AI servers can be $100,000 to $200,000, especially when equipped with the latest Nvidia CPUs, Fung tells Network World. For example, the open-source AI model from Chinese company DeepSeek seems to have shown that an LLM can produce very high-quality results at a very low cost with some clever architectural changes to how the models work.
Edgecore Networks is taking the wraps off its latest data center networking hardware, the 400G-optimized DCS511 spine switch. This new hardware offering aims to address the increasing demands of modern computing infrastructures, particularly in the realms of cloud computing and artificialintelligence.
There was a surge in demand for the H20 following the arrival of Chinese startup DeepSeeks ultra low-cost, open-source AI model in January. It blocked the sale of Nvidias A100 and H100 chips, leading the company to develop the less powerful A800 and H800 chips for the market; they were also subsequently banned.
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.
In many ways, networking is a mature, stable industry, based on established technologies like Wi-Fi and Ethernet, which just celebrated its 50th anniversary. But networking vendors are constantly innovating to keep pace with skyrocketing volumes of traffic that need to move securely and reliably across complex multicloud environments.
A10 Networks is updating its platforms in a bid to help enterprises deal with increasing risks, including those that might come from AI-driven attacks. The improvements to the network security vendor’s technology span multiple products. To date, the technology has been based on the CentOS Linux operating system. Wireshark 4.4
Network observability tools provide information on the health and behavior of applications, offer insights into end-user experience, and detect anomalies that are indicative of security incidents.
Aman Bhullar, CIO of Los Angeles County Registrar-Recorder/County Clerk, has heeded the call, having led a widespread overhaul of antiquated voting infrastructure just in time for the contentious 2020 presidential election — a transformation rich in opensource software to ensure other counties can benefit from his team’s work.
All of this is completely opensource, and so you could take it and modify the blueprints, Huang said during his keynote. But developers will want to customize and modify them, so they can make the necessary changes that they need. The blueprints come from Nvidia and its partners.
Artificialintelligence, it is widely assumed, will soon unleash the biggest transformation in health care provision since the medical sector started its journey to professionalization after the flu pandemic of 1918. Tech party An obvious issue is the involvement and influence of big tech, in this case Microsoft.
Sovereign AI refers to a national or regional effort to develop and control artificialintelligence (AI) systems, independent of the large non-EU foreign private tech platforms that currently dominate the field. Ensuring that AI systems are transparent, accountable, and aligned with national laws is a key priority.
Network monitoring continues to evolve in 2023 with edge computing, opensource, and more. The post What’s on the Horizon for Network Monitoring in 2023 and Beyond? appeared first on.
AMD said the acquisition will enable a new class of end-to-end AI offerings based on the combination of AMD CPU, GPU and networking silicon, open-source AMD ROCm software and rack-scale systems capabilities. ZT Systems founder and CEO Frank Zhang will become the senior vice president of ZT Manufacturing, reporting to Norrod.
The proliferation of open-source AI models more than 1 million are currently listed on the Hugging Face portal is driving innovation particularly at the application end. DeepSeek has simply ratcheted up this trend an order of magnitude.
IT conglomerates from many data sources and services This has a huge impact on players in highly complex environments, such as the development of systems for autonomous driving or the energy networks of the future. This open-source tool supports advanced infrastructure configuration and automation. Microsoft Azure.
In an open letter, representatives of the Large Scale ArtificialIntelligenceOpenNetwork (LAION eV) called on EU politicians to moderate AI regulation to proceed. LAION demands that open-source AI models in particular shouldn’t be over-regulated. ArtificialIntelligence, Regulation
Although it wasnt ready for the current round of benchmarking, Salvator pointed out that the companys Dynamo opensource inferencing software, introduced at GTC 2025 , will up the ante even further. In this case, its agentic AI. McGregor described Dynamo as significant: Think of an OS for an entire data center.
Intelligent assistants are already changing how we search, analyze information, and do everything from creating code to securing networks and writing articles. You could use a proprietary foundation model like OpenAI’s ChatGPT or an open-source model like Meta’s Llama 2. Learn more. Learn more. [1]
Many companies have been experimenting with advanced analytics and artificialintelligence (AI) to fill this need. They are looking to adopt a zero-trust architecture, embedding security capabilities across an enterprise-wide line of storage, servers, hyperconverged, networking, and data protection solutions.
They don’t train to fight in zero gravity, though: They are mostly computer experts charged with things like preventing cyberattacks, maintaining computer networks, and managing satellite communications.) Technology is learned by doing,” said Chandra Donelson, DAF’s acting chief data and artificialintelligence officer. “As
To accomplish their goals, agents must collect data from myriad sources and interact with internal and external systems. Machine identities far outnumber humans in enterprise networks, and machine identity management becomes very complex, very quickly. Unfortunately, many of the permissions given to AI agents are far too broad.
All industries and modern applications are undergoing rapid transformation powered by advances in accelerated computing, deep learning, and artificialintelligence. The next phase of this transformation requires an intelligent data infrastructure that can bring AI closer to enterprise data. Imagine that you’re a data engineer.
Natural language processing definition Natural language processing (NLP) is the branch of artificialintelligence (AI) that deals with training computers to understand, process, and generate language. SpaCy , an open-source library for advanced natural language processing explicitly designed for production use rather than research.
In the past, one option was to use open-source data analytics platforms to analyze data using on-premises infrastructure. The solution is made up of CDP running on Dell PowerEdge servers, PowerSwitch networking and PowerScale storage. A Hybrid Cloud World. Cloudera and Dell Technologies for More Data Insights.
Deep learning AI: A rising workhorse Deep learning AI uses the same neural network architecture as generative AI, but can’t understand context, write poems or create drawings. Great for: Extracting meaning from unstructured data like network traffic, video & speech. Model sizes: ~Millions to billions of parameters.
This reimposed the need for cybersecurity leveraging artificialintelligence to generate stronger weapons for defending the ever-under-attack walls of digital systems. Automated application scanning tools Again, a wide set of pen testing tools fall under this umbrella (both opensource and commercial).
Chinese AI startup DeepSeek made a big splash last week when it unveiled an open-source version of its reasoning model, DeepSeek-R1, claiming performance superior to OpenAIs o1 generative pre-trained transformer (GPT). Inference requires significant numbers of NVIDIA GPUs and high-performance networking.
But with today’s IT world being completely rewritten by generative artificialintelligence (genAI), the deal illustrates a new IT reality. Llama is an opensource offering from Meta. It was an announcement that Accenture made in July , in which it said it would help clients “build custom LLM models with the Llama 3.1
According to IDC , 85% of the world’s largest organizations will be using artificialintelligence (AI) — including machine learning (ML), natural language processing (NLP) and pattern recognition — by 2026. Enterprises are betting big on machine learning (ML). IDC agrees. A partial solution lies in the adoption of MLOps.
Infosys has introduced an open-source Responsible AI Toolkit as part of its Infosys Topaz Responsible AI Suite , aiming to enhance transparency, security, and trust in artificialintelligence systems. “As AI becomes central to enterprise growth, ethical adoption is no longer optional,” said Balakrishna D.
AT&T uses artificialintelligence to tell if things are going wrong in its network. software-defined network, which the carrier built so it could roll out new services more quickly and efficiently. Soon, AI may know it before it happens. To read this article in full or to leave a comment, please click here
Weve also seen the emergence of agentic AI, multi-modal AI, reasoning AI, and open-source AI projects that rival those of the biggest commercial vendors. Companies such as Sailes and Salesforce are already developing multi-agent workflows, says Rahul Desai, GM at Chief of Staff Network, a professional development organization.
Deep learning may be the next great frontier in computer development, essentially taking the concept of artificialintelligence and turning it into a reality. The goal will be to streamline deep learning advances among developers, with the hope that artificialintelligence takes that next step sooner rather than later.
It turns out LLM inferencing with RAG running open-source models on-premises can be 38% to 75% more cost-effective as compared to the public cloud, according to new research 1 from Enterprise Strategy Group commissioned by Dell Technologies. ArtificialIntelligence Learn more about Dell Generative AI.
Sometimes it comes from external, oftentimes open, sources, gathered together by the DaaS vendor to help enterprises leverage data assets they might otherwise be unable to deal with themselves. The companies also emphasize their connections to good artificialintelligence algorithms and data science options. Synthesis AI.
We track DataRobot in our Disruptive IT Finder (in sections on ArtificialIntelligence and Business Intelligence companies), and have always held their capable team in the highest of regards. The press release below gives us reason to hold them in even higher regard: BOSTON , Jan.
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