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Interest in the open-source network operating system SONiC is rising as major networking vendors and start-ups look to offer resources to help enterprises give SONiC a try. The Linux-based NOS was created by Microsoft for its Azure data centers and then open-sourced by Microsoft in 2017. What is SONiC?
Some open-source projects are spectacularly successful and become standard components of the IT infrastructure. OpenTelemetry, a project of the Cloud Native Computing Foundation, is building momentum and is on track to become another open-source success story. Take Linux or Kubernetes, for example.
The move relaxes Meta’s acceptable use policy restricting what others can do with the large language models it develops, and brings Llama ever so slightly closer to the generally accepted definition of open-source AI. The CIO’s role in these enterprises is among the toughest, as it involves issues of privacy, security, and criticality.
You have user interfaces that say, ‘I want my application to do this,’ you hit the button, and the code gets generated in the background.” Is that getting all borrowed from one source; are there multiple sources? The same goes for open-source stuff. You can maybe sense that there’s something going on there.”
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, suggests Cisco. As AI gets built into every application and service, organizations will find themselves managing hundreds or thousands of discrete agents.
Replace on-prem VMs with public cloud infrastructure Theres an argument to be made for a strategy that reduces reliance on virtualized on-prem servers altogether by migrating applications to the public cloud. Those resources are probably better spent re-architecting applications to remove the need for virtual machines (VMs).
Storage Browser for Amazon S3 This browser is described as an opensource UI component to add to web apps, and it is supposed to facilitate data interactions on S3. Focus on customer experience Kimball saw the fact that Google and Microsoft were not referenced in the announcements as part of the strategy. “I
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. We can expect attention to shift this year from model developers to those building business applications harnessing this low-cost environment for innovation.
VMware Tanzu for MySQL: “The classic web application backend that optimizes transactional data handling for cloud native environments.” VMware Tanzu for Valkey: “Low-latency caching for high-demand applications, reducing strain on primary databases and ensuring fast data access.” Not at all.”
They combine public cloud services from AWS, Microsoft Azure or Google Cloud, for example. However, if you work with Office 365 and other Windows-based applications, Microsofts Azure is the better choice. The results are stored in a database and accessed by the Azure application as needed.
In October, Microsoft announced that 100,000 organizations including Standard Bank, Thomson Reuters, Virgin Money, and Zurich Insurance are using Copilot Studio, double the number just months earlier. Throughout late 2024, Microsoft continued to expand its agentic offerings with purpose-built agents for specific use cases.
During his one hour forty minute-keynote, Thomas Kurian, CEO of Google Cloud showcased updates around most of the companys offerings, including new large language models (LLMs) , a new AI accelerator chip, new opensource frameworks around agents, and updates to its data analytics, databases, and productivity tools and services among others.
Microsoft, which offers Whisper as part of its cloud computing services, advises companies incorporating it in the solutions they offer to “obtain appropriate legal advice to review your solution, particularly if you will use it in sensitive or high-risk applications.” With over 4.2
Microsoft has added generative artificial intelligence and other enhanced features to its quantum-computing platform as part of a larger strategy to deliver the game-changing technology to a broader range of users — in this case, the scientific community.
71% use Microsoft Copilot, 62% use OpenAI ChatGPT, and 32% use Google Gemini. Given the complexity of training and managing a large language model (LLM), 24% are utilizing opensource LLMs such as Llama or Google Gemini and developing their own homegrown solutions.
In June 2023, Gartner researchers said, data and analytics leaders must leverage the power of LLMs with the robustness of knowledge graphs for fault-tolerant AI applications. Microsoft announced its GraphRAG project in February then opensourced it in July. But thats true of a lot of gen AI applications.
The open-source eBPF (extended Berkeley Packet Filter) technology has become one of the most critical foundational elements of networking with Linux over the last decade. Soon that same power will reach out to embrace Microsoft Windows, too. The open-source eBFP technology enables users to run code safely in the Linux kernel.
Between building gen AI features into almost every enterprise tool it offers, adding the most popular gen AI developer tool to GitHub — GitHub Copilot is already bigger than GitHub when Microsoft bought it — and running the cloud powering OpenAI, Microsoft has taken a commanding lead in enterprise gen AI. That’s risky.”
Chipmaker Nvidia has released a new open-source inferencing software Dynamo, at its GTC 2025 conference, that will allow enterprises to increase throughput and reduce cost while using large language models on Nvidia GPUs. Globally, the AI inference market is expected to grow from $106.15 billion in 2025 to $254.98
The fact is, there are other options to consider — ones that better leverage AI investments across the enterprise, bridging applications, databases and broad business processes. A plethora of AI tools are already on the market, from open-source options to capabilities offered by internet giants like Amazon, Google and Microsoft.
Most enterprises deploying AI technology have been turning to hyperscalers such as Amazon, Google and Microsoft to provide all the necessary infrastructure. These applications require AI-optimized servers, storage, and networking and all the components need to be configured so that they work well together. Its a brand-new skill set.
Nokia is offering customers an alternative way to set up data center networks by expanding its data center fabric package to support the open-source Software for Open Networking in the Cloud ( SONiC ). Nokias SR Linux NOS supports a wide range of network protocols and features as well as third-party applications.
This week’s Hlth Europe show in Amsterdam saw the European launch of the Microsoft-backed Trustworthy & Responsible AI Network (TRAIN) consortium that wants to meet this need. Hovering over all this, of course, is Microsoft as the technology partner, styling itself as its enabler rather than leader but still an important influence.
This year’s Microsoft Ignite developer conference might as well be called AIgnite, with over half of the almost 600 sessions featuring artificial intelligence in some shape or form. Here’s some of the top AI news CIOs will want to take away from Microsoft Ignite 2023. The new Copilot will be generally available from Dec.
IBM is taking aim at the challenging concept of securely locking-down company applications and data spread across multiple private and public clouds and on-premises locations. Learn how server disaggregation can boost data center efficiency and how Windows Server 2019 embraces hyperconverged data centers. |
NGINX Plus is F5’s application security suite that includes a software load balancer, content cache, web server, API gateway, and microservices proxy designed to protect distributed web and mobile applications.
That means that using one single hyperscaler’s AI stack can limit enterprise IT options when it comes to deploying AI applications. In June, the company acquired Verta’s Operational AI platform, which helps companies turn their data into AI-ready custom RAG applications. However, Cloudera could not disclose customer names at this time.
By Prayson Pate Openness is one of the most-cited advantages of cloud-based applications, Software-Defined Networking (SDN) and Network Functions Virtualization (NFV). In this context, what does open really mean? A good example of this type of openness is the Microsoft Outlook Messaging API (MAPI).
(Temporal Photo) Temporal , a Seattle startup that helps companies write and run cloud applications, raised $146 million. What Temporal does: Temporals open-source microservices orchestration platform replaces ad-hoc systems to help developers reduce time spent on scalability and reliability. .”
Visualize all the services you use Power BI has hundreds of content packs, templates, and integrations for hundreds of data services, apps, and services — and not just Microsoft ones such as Dynamics 365 and SQL Server. According to Microsoft, an organizations’ use of Power BI data nearly doubles when the app is pinned in Teams.
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. Multi-model routing Not to be confused with multi-modal AI, multi-modal routing is when companies use more than one LLM to power their gen AI applications.
Microsoft Corp. has expanded its Phi line of open-source language models with the introduction of two new algorithms designed for multimodal processing and hardware efficiency: Phi-4-mini and Phi-4-multimodal. Featured image credit: Microsoft billion parameters, enabling it to run efficiently on mobile devices.
Chat applications such as ChatGPT have made strong headway, as have image-generators such as DALL-E 3, capturing the imagination of businesses everywhere. Average salary: $169,874 PyTorch PyTorch is an open-source machine learning library developed by Facebook’s AI Research Lab (FAIR).
To counteract this, and in anticipation of further forays with the technology, some CIOs are exploring a range of technologies and methods to curb the cost of generative AI experimentation and applications. This is part of our existing licensing agreement with Microsoft, allowing us to streamline costs effectively.
Last August it bought French AI inference startup Mipsology, with tiny open-source AI compiler outfit Nod.ai Tiny missteps can make all the difference as rivals try to build a viable platform to take on Nvidia and, longer term, the emerging AI chip-to-platform threat from tech superpowers Google, Microsoft, Meta, and Amazon.
Robotic process automation (RPA) is an application of technology, governed by business logic and structured inputs, aimed at automating business processes. Most organizations have business applications that work perfectly well but require users to click on the same boxes in the same patterns all day long. What is RPA?
The most popular LLMs in the enterprise today are ChatGPT and other OpenAI GPT models, Anthropic’s Claude, Meta’s Llama 2, and Falcon, an open-source model from the Technology Innovation Institute in Abu Dhabi best known for its support for languages other than English. Salesloft uses OpenAI’s GPT 3.5 to write the email, says Fields.
Amazon Web Services (AWS) on Tuesday unveiled a new no-code offering, dubbed AppFabric, designed to simplify SaaS integration for enterprises by increasing application observability and reducing operational costs associated with building point-to-point solutions. AppFabric, which is available across AWS’ US East (N.
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).
NLP applications Machine translation is a powerful NLP application, but search is the most used. They integrate with Slack, Microsoft Messenger, and other chat programs where they read the language you use, then turn on when you type in a trigger phrase. Chatbots work the same way. NLTK is offered under the Apache 2.0
As a result, organizations like Apple, Samsung, Accenture, Microsoft, Verizon, Wells Fargo, and others 1 have banned the use of commercial large language models. Lesson 3: Open-source LLMs are limited There are 300,000 models and counting on HuggingFace.co, all of which are open-source and backed by a dedicated developer community.
The exam tests knowledge of Cloudera Data Visualization, Cloudera Machine Learning, Cloudera Data Science Workbench, and Cloudera Data Warehouse, as well as SQL, Apache Nifi, Apache Hive, and other opensource technologies. The exam consists of 40 questions and the candidate has 120 minutes to complete it.
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