Open Source Summit + Embedded Linux Conference Europe 2026 schedule champions Open Source innovation and marks 35 years of Linux. Aug 05, 2026, 12:37 ET Industry leaders gather to advance the open source infrastructure powering embedded systems, cloud orchestration, AI security, safety-critical applications and more * The Linux Foundation released the official agenda for Open Source Summit + Embedded Linux Conference Europe 2026 (October 7-9 in Prague), an event that will celebrate the 35th anniversary of Linux while mobilizing global leaders to secure modern technological infrastructure. * Key event highlights include a featured conversation with Linux and Git creator Linus Torvalds, alongside session tracks exploring open AI and data, digital trust, safety-critical software, cloud native orchestration, embedded Linux, and much more. SAN FRANCISCO, Aug. 5, 2026 /PRNewswire/ - The Linux Foundation, the nonprofit organization enabling mass innovation through open source, today announced the schedule for Open Source Summit + Embedded Linux Conference Europe 2026, taking place in Prague, Czechia from October 7-9. This premier event unites open source technology developers, community leaders, and end users to build further innovation on top of the open source foundations of modern infrastructure. Open source software is a force multiplier for technological sovereignty, economic efficiency, and innovation velocity. With over 40 million lines of code, Linux is a key element in open source software globally, as the largest and most famous project. This year, Linux celebrates 35 years of excellence as a codebase. Historically, open source and Linux unlocked neutrality for those facing vendor lock in, access for users unable to pay steep licensing fees, and now, unrivaled advancement in the pursuit of agentic AI. "The world's most important technology is built in the open," said Jim Zemlin, CEO of the Linux Foundation. "Open Source Summit Europe is where developers, maintainers, and industry leaders come together to solve shared challenges and accelerate innovation." Highlights at Open Source Summit + Embedded Linux Conference Europe 2026 include: Linus Torvalds, Creator of Linux and Git, in Conversation with Dirk Hohndel, Head of Ericsson Software Technology In a highly anticipated conversation, Linus and Dirk will discuss the future of vendor-neutral collaboration, developer knowledge sharing, and the latest technological innovations driving the open source ecosystem. Building and Securing AI Created in the Open Open source software is critical to all levels of the AI stack, especially as agents are increasingly entrenched in modern tools. As AI agents are further embedded into core business operations, establishing clear guardrails and transparent data access is essential. This track explores proven methods for maintaining security, visibility, and repeatability across multi-agent platforms. Safety-Critical Software: Reliability at the Core As open source scales across highly regulated industries and embedded technologies like automotive and consumer electronics, the need for safe, reliable, and compliant code is paramount. This track will explore critical advancements, frameworks, and shared standards required to build software that operates safely in high-stakes environments - such as trusted identities in cryptography, Akrites for secure code, and SBOMs for CRA readiness. Session Highlight: "ORBIT Launchpad: Building the Due Diligence Bridge Between Manufacturers and Open Source" - Nicole Bates-Callaghan, Principal Technical Program Manager, Microsoft and Sarah Evans, Distinguished Engineer, Dell Technologies Cloud and Orchestration: Powering Scalable Innovation Cloud native technologies are vital in delivering the scalability and operational efficiency required to support agentic environments. A fortified, cloud native foundation is exactly what allows companies to confidently transition their AI initiatives from lab experiments into profitable, enterprise-grade solutions. Session Highlight: "Beyond Immutable Machines - Introducing Cluster API In-Place Updates" - Lennart Jern, Senior Developer, Ericsson Software Technology Embedded Linux Conference: Advancing Next-Generation Embedded Systems As embedded systems scale across automotive, aerospace, industrial IoT, and consumer electronics, developers face increasing demands for real-time performance, functional safety compliance, and secure supply chains. Embedded Linux and Zephyr RTOS have become critical to meeting these demands while maintaining the agility and transparency that open source provides. This track explores proven approaches to building reliable, compliant embedded systems that perform at scale. Session Highlight: "Signed, Sealed, Delivered: Yocto Project Reference Containers" - Tim Orling, Principal Software Engineer, Konsulko Group Registration Registration for Open Source Summit + Embedded Linux Conference Europe 2026 and its co-located events is open. Discounted registration is available for academics, government employees, hobbyists and small businesses. To learn more about registering, as well as scholarship and travel fund opportunities, see the full details here. To request a press pass, contact [email protected]. Event Sponsors Thank you to the sponsors who help make Open Source Summit + Embedded Linux Conference Europe 2026 possible, including: * Diamond Sponsors: AWS, Google, Microsoft Azure, openKylin, Valkey * Platinum Sponsors: openEuler, OpenSearch, Red Hat * Gold Sponsors: Civil Infrastructure Platform, Cloud Native Computing Foundation, Coder, Dynatrace, Ericsson, Hitachi, LavinMQ, Texas Instruments * Silver Sponsors: Analog Devices, Arm, Dronecode Foundation, Edera, Enabling Linux in Safety Applications (ELISA) Project, Framework, Microchip Technology, Minimus, NXP Semiconductors, Percona, PwC, ReversingLabs, Zephyr Project For information on becoming an event sponsor, see here. About the Linux Foundation The Linux Foundation is the world's leading home for collaboration on open source software, hardware, standards, and data. Linux Foundation projects, including Linux, Kubernetes, Model Context Protocol (MCP), OpenChain, OpenSearch, OpenSSF, OpenStack, PyTorch, Ray, RISC-V, SPDX and Zephyr, provide the foundation for global infrastructure. The Linux Foundation is focused on leveraging best practices and addressing the needs of contributors, users, and solution providers to create sustainable models for open collaboration. For more information, please visit us at linuxfoundation.org. The Linux Foundation has registered trademarks and uses trademarks. For a list of trademarks of the Linux Foundation, please see its trademark usage page: www.linuxfoundation.org/trademark-usage. Linux is a registered trademark of Linus Torvalds. SOURCE The Linux Foundation

Model Context Protocol Associate (MCPA) Certification exam guide. The Linux Foundation is going to launch a new certification called Model Context Protocol Associate (MCPA)soon. This is one of the first official certifications focused entirely on MCPs. As MCP adoption continues to grow in organizations, this certification is expected to become valuable for AI/ML engineers, platform engineers, developers and DevOps engineers who are building agentic AI applications. In this MCPA Certification learning path and study guide, DevOpsCube cover everything you need to know and learn for the MCPA Certification. What is the Model Context Protocol (MCP)? MCP stands for Model Context Protocol. It is an Open-Source standard protocol that is used to connect LLM applications to external tools, data sources, and services. It is one of the core projects under the Linux Foundation's Agentic AI Foundation (AAIF) MCPA Exam format, duration, and validity. MCPA is an online-based, multiple-choice exam. You will be given 120 minutes. You can write the exam within 12 months of the date you registered. There is also one free re-take option available if you didn't pass. This is an Associate-level certification, which makes a great starting point for beginners who want to build a strong foundation in the Model Context Protocol (MCP). It primarily validates your understanding of MCP fundamentals, architecture, interactions, security, and the overall MCP ecosystem. The certification has a validity period of 2 years. Is the MCPA Certification worth it? As you know, MCP is becoming more important day-by-day. More organizations are adopting Agentic AI systems and implementing MCPs into their AI applications. Companies look for certified and skilled professionals who can handle MCP clients, servers, and tools efficiently. This MCPA certification helps you stand out and validates your understanding of MCP concepts and implementation. It demonstrates to employers that you understand the protocol and are ready to build, integrate, and manage MCP-based AI applications. The interesting part is, this certification was created with the help of experts from Anthropic, Google, AWS, Microsoft, Block, GitHub, Hugging Face, and other leading organizations. You can approach this certification as a way to learning the core MCP concepts. MCPA Exam syllabus. The following table has the domains you should focus on, along with the respective weightage. | Domain | Weight | What to Focus On | | MCP Fundamentals | 16% | - Understand the purpose and scope of MCP - Learn core MCP concepts and terminology - Understand the interoperability and value MCP unlocks for AI applications | | Architecture & Components | 14% | - Understand schemas and structured data in MCP - Learn the roles of MCP hosts, clients, and servers - Understand the model interaction flow end-to-end | | Interactions & Execution | 26% | - Understand interaction patterns and response handling - Learn how errors are handled within the protocol - Understand the full tool invocation lifecycle - Learn the core protocol primitives | | Security & Governance | 24% | - Understand trust boundaries between MCP components - Learn how permissions and consent are managed - Understand risk and safety controls - Learn auditability and observability practices | | Use Cases & Ecosystem | 20% | - Understand roles, responsibilities, and adoption patterns - Learn common operational use cases - Understand ecosystem and portability considerations | As shown in the syllabys, you need to understand the fundamentals of MCPs, how MCP works, and the architecture and components present inside MCPs, etc. Now let's have a look at the prerequisites you should have to attend the MCPA Exam. Exam prerequisites. Although there are no necessary prerequisites for this exam, having the following knowledge and experience will make it much easier to prepare. * A basic understanding of JSON-RPC or similar message-based protocols. * Hands-on experience working with LLM APIs, such as OpenAI, Anthropic, or local models through Ollama. * Familiarity with Agentic AI concepts, including ReAct patterns, tool use, and AI agents. * A basic understanding of security concepts like API keys, OAuth 2.1, authentication headers, and token handling. * The ability to read and understand MCP server capability definitions. MCPA study guide: syllabus-based breakdown. I have added all the official documentation references and other useful authoritative resources for each concept that comes under the exam syllabus. MCP Fundamentals - [16%]. This section serves as the foundation. What problem MCPs solve, purpose of MCPs. MCP Architecture - [14%]. MCP is a client-server protocol built on JSON-RPC. * Host - The AI application the user interacts with. * Client - lives inside the host, maintains a one-to-one connection to the server * Server - exposes capabilities (tools, resources, prompts) to the client * Tools, Resources, and Prompts. Interactions and executions - [26%]. This is the largest domain in the MCPA exam. You will get 26% of the total score. It focuses on how MCP components communicate with each other and how interactions are handled. You end up covering core concepts like Error Handling, Protocol Primitives, Tool Invocations, etc. Security & Governance - [24%]. This domain takes 24% of the MCPA exam and is one of the most important sections in real-world applications. It focuses on securing MCP-based systems, managing permissions, and ensuring AI agents can safely interact with external tools and services. Understanding this domain is what turns an MCP application from simply working to being secure, reliable, and production-ready. Here you can find the study resources for the exam, like Trust Boundaries, Permissions and Consent, Risk and Safety Controls, and Auditability and Observability. Use Cases & Ecosystem - [20%]. This domain carries 20% of the total score. It focuses on how MCP is used in real-world applications, adoption patterns, and how it fits into the AI ecosystem. Understanding these concepts will help you see where MCP adds value and how it enables interoperable AI applications across different platforms. What to expect on MCPA Exam day. Here are some of the instructions, you should follow on the day you are going to take your MCPA Certification. System checks. * Run the PSI system check in advance to verify that your computer meets all the exam requirements. * Close all unnecessary applications and browser windows before launching the exam, as the proctoring software checks for running programs. * Before starting the exam, temporarily disable any firewall or antivirus software that could interfere with the secure browser. If you're using a laptop, keep it plugged in throughout the exam. * The exam is conducted using PSI's secure browser, which is available for download shortly before your scheduled exam. * Use your own computer with a single monitor, a stable internet connection, a working microphone, and a webcam that can be moved to scan your room during the check-in process. ID check. Before the exam, make sure you have a valid, government-issued photo ID with your signature, such as a passport or driver's license. The name on your ID must exactly match the name you used when registering for the exam. Any mismatch could prevent you from taking the test. Also, make sure you are in a quiet, private room with good lighting and nothing behind you. When the exam starts, you should stay inside the webcam frame for the entire exam. Conclusion. MCP is becoming a core part of the Agentic AI System. While the MCPA certification won't make you an expert, it demonstrates that you have a solid understanding of the Model Context Protocol and its core concepts. As MCP adoption continues to grow, earning this certification early can give you an advantage and help you stand out in the AI job market.

Nvidia alliance calls for open models to tackle rogue agents. A bunch of tech companies, apparently headed by US GPU giant Nvidia, have formed the Open Secure AI Alliance. July 28, 2026 The aim of the new alliance, which includes Microsoft and SpaceX but not Anthropic or the paradoxically named OpenAI, is to try to prevent events such as the recent hack of Hugging Face (also a member) by an AI agent running a prototype OpenAI model. "When closed AI tools - unable to distinguish attackers from defenders - blocked essential forensic analysis, Hugging Face ran the open-weight GLM 5.2 model on its own infrastructure to analyze more than 17,000 actions and contain the intrusion," states the Nvidia blog. The Open Secure AI Alliance will build on the recent announcement from the Linux Foundation of the launch of Akrites, which aims to 'harden the world's most critical open-source software in the era of AI-assisted vulnerability discovery.' This is another collective effort, named after Byzantine frontier guards, which does include Anthropic and OpenAI, thus begging the question of why they so far haven't felt inclined to take the next step. The most likely answer is that they're at best ambiguous about open-source. The two CEOs have been conspicuously silent on the Nvidia announcement but Anthropic's Dario Amodei has blogged on the matter of open-weights models. His defensive post insists that, while Anthropic has never advocated for a ban on them, he doesn't agree that "open-weights models necessarily make it easier to develop safeguards or that broad access to capabilities necessarily helps defenders more than attackers." If this new alliance is anything to go by, many of his customers, as well as his key supplier, beg to differ. The Nvidia blog goes on to urge regulators not to act against open models, as has been rumoured after allegations that advanced Chinese model Kimi K3 'distilled' US models in its training, thus stealing their IP. This is a difficult position to maintain, however, as the US models are themselves trained on billions of pieces of third-party intellectual property. It's likely that Chinese AI companies are compensating for the lack of processing power available to them as a result of US sanctions by distilling US models. It would also be in keeping with America's broader policy of farcical whack-a-mole, designed to maintain its global hegemony, for it to try to ban AI model distillation and/or open-weight models. This alliance seems in part to be a bid to lobby against such a move. Editorial Director As the Editorial Director of Telecoms.com, Scott oversees all editorial activity on the site and also manages the Telecoms.com Intelligence arm, which focuses on analysis and bespoke content. Scott has been covering the mobile phone and broader technology industries for over ten years. Prior to Telecoms.com Scott was the primary smartphone specialist at industry analyst Strategy Analytics'. Before that Scott was a technology journalist, covering the PC and telecoms sectors from a business perspective. Follow him @scottbicheno Want more Telecoms.com stories in your Google search results? Join 56,000+ members. Yes it's completely free.