XTHE

NVIDIA GTC 2026, scheduled for March 16-19 in San Jose, will shift focus from GPU power to full rack-scale AI systems, spotlighting Blackwell Ultra architectures for agentic AI and throughput inference.  

Here are the main points about Blackwell Ultra Low-Power Optical Networking and Telco Reasoning Models for GTC 2026.  

Blackwell Ultra and Network Innovations 

• The system-focused AI column at GTC 2026 will highlight the move from counting individual cards to using rack-scale setups like NVL72 and NVL144, as well as the new NVL576, which will feature an orthogonal backplane design.  

• Blackwell Ultra (GB300) capabilities: major cloud developers use these systems for low-latency, long-running tasks. They use NVLinkswitch for scaling and NVFP4 precision for efficient inference.  

• LPO and Photonics debut as electrical internal interconnects hit their limits. NVIDIA is investing in optical connections, such as CPU and Photonics, for AI factories. Lumentum and Coherent are providing advanced CPUs to meet the high bandwidth demands of future AI systems.  

U.S. Telco Reasoning Models and Agentic AI 

• Agentic AI in Telco: NVIDIA is going beyond basic network automation and working on autonomous networks with telco reasoning models.  

• Tool-Calling Agents: These models enable AI agents to understand incidents, search databases, and take corrective actions in a controlled, trackable way, replacing old, hand-coded runbooks.  

• Industry partnerships: Telecom providers are working with NVIDIA to build 6G on Open Secure AI-based platforms. They are also using NVIDIA NEMO to fine-tune models for network operations center workflows.  

GTC 2026 Highlights 

• Keynote & Focus: CEO Jensen Huang will give the keynote on March 16, discussing the new AI Initiative software-defined infrastructure.  

• Key themes: The event will feature Vera Rubin for Agentic AI, Rubin CPX for rapid-throughput inference, and a new AI-native storage system called ICMS.  

• Sessions: Many sessions will focus on AI RAN, which brings AI to the edge of telecom networks.  

The 2026 GTC event marks a move toward treating inference as a regular operating cost, with attention on metrics such as time to first token, tokens per second, and energy efficiency.  

Telecommunications are quickly shifting toward autonomous networks, with 65% of operators viewing AI as essential for automation, according to the latest NVIDIA State of AI in Telecommunications report. Half also rank autonomous networks as the leading AI use case for return on investment.  

However, many telecom companies still lack enough AI and data science expertise. This gap makes it hard to safely scale closed-loop automation across complex networks.  

Most telecom NOCs use reactive alarm-based workflows. Engineers sift through numerous incidents with various tools, compiling data from different dashboards before resolving issues. NOCs are ideal for autonomous networks because the tasks are repeatable, allowing AI to reduce resolution time and costs.  

Tech Mahindra, a global technology and consulting solutions provider, is working with NVIDIA to help close the AI skills gap. Together, they are turning autonomous network building blocks, such as open models, tools, and guides, into resources telecom developers can easily use and adapt in their own networks. This post explains how to fine-tune reasoning models with NVIDIA Nemo so they can work like NOC engineers and safely manage closed-loop self-reasoning workflows. It covers how to:  

• Create synthetic incident data that closely matches real telecom scenarios.  

• Translate/Export Procedures into Systemic Reasoning Traces using Production-Grade Reference Workflows. This step teaches the model to coordinate tools, reason about network state, and execute end-to-end fault management tasks during fine-tuning.  

This approach gives telco teams a repeatable way to build their own AI agents for network operations. These agents can handle triage, root cause analysis, and resolution for many common incidents, helping operators move closer to TM Forum level 4, highly autonomous networks, and beyond.  

Why Do Network Operations Centers Need Reasoning Models 

Traditional NOC automation is mostly rule-based and open. Traditional NOC automation relies on rules and open-world scripts that trigger onset conditions. These scripts often struggle with noisy signals, cross-domain dependencies, and a system that can take on this work pattern in a controlled, auditable way. Instead of hard-coded runbooks and point scripts, the agent uses the model to interpret incidents, decide which tools to call, and adapt its actions based on live responses.  

Main features include:  

• AI reasoning in the tool-calling column takes over manual alarm triage by leveraging NOC tools for validation, root cause analysis, and issue resolution across current systems.  

• End-to-End Automation: Manages alarm validation, root cause analysis, and resolution for various incident types, including outages, flaps, congestion, and configuration problems.  

• Noise reduction, pull-on filters, self-clearing or low-value alarms that use historical patterns, so engineers can focus on higher priorities.  

• Resolution in seconds, not hours: Cuts down the time needed to resolve common high-volume incidents from hours to just seconds, greatly lowering MTTR.  

The result is a closed-loop self-healing network. NoC agents manage routine triage and resolution, allowing engineers to focus on proactive optimization and complex problem-solving.

Source: Building Telco Reasoning Models for Autonomous Networks with NVIDIA NeMo

OpenAI’s real-time API is now generally available following its official announcement and release in August 2025. This update includes support for remote model context protocol (MCP) servers and session initiation protocol (SIP).  

Key Features of the Real-Time API Now Available 

• General availability: The Runtime API is now production-ready and open to all paid developers.  

• Remote MCP Server Support Developers can connect AI voice agents to external tools and capabilities on any MCP-compliant server. The API automatically manages tool coils, making it easier to expand an agent’s features without manual integration.  

• SIP protocol integration: With native Session Initiation Protocol (SIP) support a common standard for initiating and managing voice communication over IP networks enterprises can connect AI voice agents directly to traditional PBX (Private Branch Exchange) systems and phone networks. This supports automated call handling, appointment scheduling, and customer service in contact centers.  

• New GPT Real-time model: The API uses the advanced GPT Real-time model, offering lower latency, more natural-sounding speech, and better performance with complex instructions.  

• Multi-modal inputs. The real-time API supports audio, image, and text inputs as well as audio and text outputs. This allows for a wide range of applications.  

For comprehensive setup and usage instructions and to explore how these new capabilities can accelerate your project, visit the OpenAI documentation today.  

OpenAI has introduced support for the remote model context protocol (MCP) server, which lets models access context from external sources, and for the Session Initiation Protocol (SIP), a widely used standard for starting and managing online voice and video calls. These technologies are integrated into its GPT-real-time speech-to-text model. These updates are available through a dedicated API. They are designed to help businesses create more autonomous voice-based agents.  

Support for remote MCP (Media Control Protocol) servers in the Real-Time API is now generally available. MCP enables communication with external applications. This lets developers program voice-based agents to access external capabilities or tools. These tools are listed as MCP servers on the internet or other servers, according to Charlie Dai, VP and Principal Analyst at Forrester.  

Remote MCP servers are not listed locally where the agent or application runs.  

OpenAI said enterprises can enable MCP support in an API session by entering the URL of a remote MCP server in the session configuration.  

Once you connect, the API automatically handles the tool calls, so you don’t need to manually wire up integrations. This setup makes it easy to extend your agent with new capabilities, the company explained in a blog post.  

Dai highlighted SIP as a standard for starting and managing real-time voice calls over IP networks, enabling AI voice agents to connect with PBX systems and phone networks.  

Examples of use cases where enterprises can take advantage of SAP support in the API comprise:  

• automated call handling  

• appointment scheduling  

• multilingual support for customer services in contact centers  

Dai added.  

Image Input And Additional Capabilities 

To make the GPT real-time model more useful for voice-based tasks, OpenAI now lets users include images, like photos, screenshots, or other visuals, along with text or audio in a session.  

This functionality enables the model to analyze and respond to image content. Users can ask questions such as “What do you see?” or “Can you read the text within this image?”, according to OpenAI’s blog post.  

Analysts say the ability to upload images is an important addition that will be useful to businesses.  

This can be seen as multi-modal support, meaning the ability to process and understand multiple forms of input, such as text, images, and audio, which is a key area in the market, Dai said. He added that competitors like Google, with Project Astra, are also focusing on multimodal live assistance. Besides image input, OpenAI has improved GPT’s real-time context awareness and memory.  

OpenAI also said the updated GPT real-time model is better at following complex instructions, calling tools accurately, and producing speech that sounds more natural and expressive.  

Dai said these improvements will help businesses use the API for fast, natural voice interactions in many areas. These improve real-time medical transcription, enhance booking assistance, improve customer service for banking, insurance, and telecom, and enhance employee support. Across industries, Penn AI said businesses using the API can now choose from two new voices: Cedar and Marin.  

Microsoft OpenAI’s largest investor also announced two text-to-speech models this week. The company said these will help unlock a wide range of enterprise uses.  

Source: OpenAI adds MCP and SIP support to gpt-realtime for smarter voice-based agents

Starting April 28, 2026, you must use Xcode 26 for App Store submissions. This version introduces new platform SDKs, including iOS SDK 26 and iPadOS SDK 26, designed to improve on-device LLM performance with the Foundation Modules framework. Swift 6.2 and macOS Sequoia 15.4 or later are required. Notable AI features include on-device integration with the cloud and ChatGPT, text summarization, entity extraction, and privacy-focused local inference.  

Key Requirements and Features 

• From April 28, 2026, all apps must be built with Xcode 26 and the latest platform SDKs, including iOS SDK 26 and macOS SDK 26. This requirement aligns with new local LLM features and the updated development workflow.  

• The new APIs let you run large language models locally, reducing reliance on cloud inference.  

• Xcode 26 loads workspaces 40% faster and has better compilation caching.  

• AI-powered tools in Xcode 26 automate inline code generation to accelerate development, generate documentation to improve code clarity, and fix bugs faster. This reduces manual work, letting developers focus on higher-level tasks and boosting overall productivity.  

• You will need a Mac with Apple Silicon running macOS 15.4 or later.  

Development Workflow Changes 

• To add on-device text generation, use the Language Model Session and always check the model’s availability before processing. Profile app uses the Foundation Models framework and tracks CPU with new tools.  

• New tools help you profile the Foundation Modules framework usage and monitor CPU usage in your app.  

• Always check model availability before starting on-device processing.  

Xcode 26 comes with Swift 6.2 and SDKs for:  

• iOS 26  

• iPadOS 26  

• tvOS 26  

• watchOS 8 or later  

• macOS Tahoe 26  

• visionOS 26  

You can debug directly on devices running iOS 15 or later, tvOS 15 or later, watchOS 8 or later, and visionOS. To use Xcode 26, your Mac must run macOS Sequoia 15.6 or later. You can debug directly on devices running iOS 15 or later, tvOS 15 or later, watchOS 8 or later, and visionOS. To use Xcode 26, your Mac needs to run macOS Sequoia 15.6 or newer.  

Xcode 26 provides advanced coding intelligence tools to streamline writing code, building tests and documentation, debugging, refactoring, and navigating projects. It supports integration with ChatGPT and cloud accounts, allows the use of custom API keys with providers that implement the chat completions of API, and offers local model operations on Macs with Apple Silicon.  

• Use the Coding Assistant to interact with code using natural language, featuring context awareness and conversation history.  

• Generate documentation, explain code, preview changes, and create playgrounds within the code editor.  

• Enhanced predictive code completion runs faster and leverages deeper code context on your Mac, resulting in more accurate and efficient suggestions that help speed up the coding process.  

Also in Xcode 26 

• The #Playground macro enables interactive debugging and code exploration in the preview panel, letting you test concepts, debug in real time, and make immediate adjustments to code logic.  

• Icon Composer simplifies icon creation from a single design file, letting you adjust depth and dynamic lighting and customize default dark and mono modes, which speeds up design iteration and ensures consistency across app icons.  

• Redesigned tabs improve project navigation, with in-tab navigation and file pinning to keep key files visible. This makes it easier to quickly access important code segments, improving workflow and reducing context switching.  

• Compilation caching reduces build times, especially when switching branches or performing clean builds, helping developers iterate faster and deliver updates more quickly.  

• New Instruments Enhance App Analysis, Processor Trace Records All Function Calls, Swift UI Profiler Analyzers View Updates, Power Profiler Tracks Battery and Thermal Impact, and CPU Counters, Identify Performance Bottlenecks  

• Swift concurrency debugging monitors async functions and threads, showing clear taps and properties.  

• String catalogs help with localization via tax-safe Swift symbols, string references, auto-compute support, and on-device AI-generated explanatory comments.  

• Voice control enables accurate Swift code dictation, recognizing syntax and automatically formatting code.  

New Features 

Hang and launch diagnostics now offer trending insights marked with a flame icon, making it easier to spot and prioritize performance issues.  

A new setting now controls how function names appear in C++ frames: Plugin.cpp.display.function-name-format.  

By default, the full function name shows, but you can include parts of the signature. For more, see http://les.idb.ibm.org/use/formatting.html#function-name-formats.  

LLDB now highlights C++ function base names by default in backtraces, helping you identify core functions. 

Source: Xcode 26 Release Notes 

Dell Technologies shared its strategy at the Morgan Stanley Technology Media & Telecom Conference 2026 on March 4. The company reported healthy financial results and stressed its focus on AI servers as a main growth area. Dell is positive about the future but also recognizes continuing challenges in the traditional market.  

Key Takeaways 

• Dell achieved over 20% revenue growth and 25% EPS gains in fiscal 2027.  

• The AI server business is growing quickly, and Dell now holds a $43B backlog.  

• Dell plans to give back more than 80% of its free cash flow to shareholders.  

• The traditional PC market continues to face challenges, including slow Windows 11 adoption.  

• Dell’s approach to capital management includes a large share repurchase program.  

Financial Results. 

• In fiscal 2027, Dell’s revenue and EPS grew by over 20% and 25%, respectively.  

• Q4 achieved record revenue, and EPS benefited from a $43B AI backlog.  

• Dell bought back 54 million shares last year, including 14.9 million in Q4.  

• Dell expects 25% EPS growth this year and a strong Q1.  

Operation Updates 

• Dell’s $34B surge in AI server demand marks a record-high pipeline driven by enterprise appetite for scalable AI deployments.  

• Dell expanded its enterprise AI customer base from 3,300 to over 4,000 within 90 days, indicating strong market momentum for its solutions.  

• Strong engineering and advanced power solutions underpin Dell’s AI Server for success, supporting efficient delivery and performance.  

• Project Lightning is on track for initial production and deployment in the year’s first half, aiming to rapidly address new customer needs.  

• Demand for a dense IP storage portfolio grew by 12% last year, expanding margins.  

Future Outlook 

• Dell is focused on maintaining and growing its strong AI server pipeline, with a five-quarter plan to drive continued growth and meet new market needs.  

• Dell aims to make FY2027 its strongest by leveraging AI, strengthening relationships, and driving innovation to address changing demand.  

• To address the ongoing memory market cycle, Dell is implementing proactive decision-making processes by adapting operational strategies to capitalize on rapid market changes.  

• Dell’s call is still to return more than 80% of its free cash flow to shareholders, and it has reached 84% since starting the program.  

Q&A Highlights 

Dell plans to actively pursue Grace Blackwell’s business opportunities and guarantee it can secure enough supply.  

Dell is focusing on investments in its sales teams and engineering capabilities.  

Dell’s Supply Chain is ready to meet its year-end targets.  

For more details, see the full conference call transcript below.  

Full Transcript Morgan Stanley Technology, Media & Telecom Conference 2026  

Erik Woodring, Analyst, Morgan Stanley: Let’s get started here. Welcome back to Day 3, the afternoon of Day 3. My name is Erik Woodring. I lead the hardware coverage here at Morgan Stanley, and I’m delighted to be joined by Dell Technologies CFO David Kennedy.  
 
Before we get started, a few things at my end:  

• Please see the Morgan Stanley Research Disclosure website at morganstanley.com/research disclosures.  

• If you have any questions, please contact Morgan Stanley Sales Representative.  

From Dell’s perspective, statements in this presentation regarding future results and events are forward-looking and based on Dell Technologies’ expectations. In some cases, you can identify these statements by such forward-looking words as “anticipate”, “believe”, “could”, “estimate”, “expect”, “intend”, “confidence”, “may”, “plan”, “potential”, “should”, “will”, and “would”, or similar expressions.  

Risks, uncertainties, and other factors, including those in Dell Technologies’ ICC filings, may cause factual results and future events to differ materially from those the forward-looking statements express or imply. Dell Technologies does not undertake to update these statements. David is attending the TMT conference for the first time. 

Source: Dell at Morgan Stanley Conference: AI Servers Drive Growth 

Key Takeaways 

• Amazon has joined the White House energy pledge to help strengthen the power grid and protect customers from higher costs.  

• We cover all of our data center energy costs, including expenses for new energy sources and grid improvements.  

• Since 2020, Amazon has been one of the world’s largest buyers of carbon-free energy.  

• Amazon operates more than 700 carbon-free projects providing over 40 GW of energy to communities.  

Today, Amazon is proud to have signed the ratepayer protection pledge at the White House. We appreciate the administration’s leadership on this issue. The pledge sets an important standard to protect ratepayers and support responsible long-term energy partnerships that strengthen the grid and the communities where our data centers are located.  

At Amazon, we build and run our data centers responsibly. We pay all our costs ourselves and invest in new energy sources that strengthen the grid for everyone. When we build a data center, we also invest in the local community.  

Because of these efforts, Amazon data centers create thousands of skilled jobs, open up new opportunities for local businesses, generate hundreds of millions in tax revenue for schools and services, and support programs that help people find good jobs.  

We understand that rising utility costs are a concern for American families. While data centers are often discussed, independent studies show they actually help keep rates lower even as other factors drive costs up.  

When Amazon builds new data centers, we also help upgrade the power grid. Meeting the country’s growing energy needs is key to keeping electricity affordable and reliable, supporting daily life, growing the economy, and keeping the U.S. competitive.  

Amazon’s Role in America’s Electricity System 

Amazon pays all of its electricity costs and invests heavily in new energy generation and transmission infrastructure that benefits our communities. We work with grid operators and other partners to ensure the grid can meet future demand and that costs are not passed on to customers.  

For example, we have participated in utility rate proceedings in Indiana, Missouri, Ohio, Oregon, and Virginia to ensure we protect ratepayers and pay the full cost to serve our data centers. For Amazon, paying the monthly power bill is only part of what it takes to run a data center responsibly. We also pay for the additional infrastructure to deliver the power to our data centers, including new transmission lines, substations, and other grid upgrades.  

We achieve this through long-term agreements with utilities that include things like:  

• minimum demand charges  

• financial guarantees  

• multi-year commitments  

These agreements ensure Amazon pays all the costs of serving our data centers, not households or small businesses.  

Amazon’s Great Modernization Benefits Local Communities 

Amazon’s long-term commitments gave utilities the confidence and funding to update the grid, supporting nearby communities, households, and businesses, for example:  

• In Indiana, regulators approved an agreement between Northern Indiana Public Service Company (NIPSCO) and Amazon that will save NIPSCO customers about $1 billion over 15 years near Amazon’s Project RAGNAR, one of the world’s largest AI compute facilities. Indiana Michigan Power (I&M) recently announced rate reductions. The extra revenue from data center growth is helping lower customers’ costs.  

• In Louisiana, Amazon partnered with Southwestern Electric Power Company (SWEPCO), to cover all costs related to our new data center campus. This includes fully funding new energy infrastructure and grid upgrades needed for Amazon’s data centers. These investments also improve dependability for all SWEPCO customers.  

• Entergy has launched a 300 million grid transformation project in Mississippi to improve reliability and aims to cut outages by half with investments from Amazon and other large customers. Residential customers will not incur any additional costs.  

• In Pennsylvania, our agreements ensure that we contribute to the transmission system. According to PPL Electric Utilities, this helps reduce costs and funds local grid upgrades, benefiting all energy users in the area.  

In Pennsylvania, our investment in the new Salem Township Data Center campus also provides major financial support for the nearby Susquehanna Nuclear Power Plant. This helps ensure the plant can keep producing safe, reliable nuclear energy for years to come.  

How Amazon Is Helping Power America’s AI Future 

The American economy is growing, and energy demand is rising due to advanced manufacturing, transportation, and new technologies such as AI. This shows economic strength and potential, but it also means our grid needs to modernize much faster than before. To do this, utilities, regulators, policymakers, and energy providers must work together, develop smart policies, expedite permitting, and continue investing in transmission infrastructure.  

Amazon invests in long-term energy commitments to build a stronger, more affordable energy future. We lead as one of the largest buyers of carbon-free energy and operate over 700 projects, providing more than 40 GW of capacity.  

These projects do more than add new carbon-free energy. They create thousands of construction jobs and hundreds of permanent jobs in their communities. They supply new energy for homes, hospitals, and schools, and modernize the infrastructure that keeps costs stable and affordable. They also support AI innovation and new technologies that are key to America’s leadership.  

We are also leading the way in new nuclear power in Washington. We signed an agreement to develop advanced small modular nuclear reactors (SMRs) with capacities up to 960 MW. We have invested in X-energy, a leading US company developing SMRs to help add more than 5 GW of new nuclear capacity by 2039. We are also working with US national labs, such as Idaho National Laboratory and Lawrence Livermore National Laboratory, to use our AI technology to help them develop the next generation of safe nuclear fission and fusion power.  

A Responsible Way Forward 

By signing the Red Pair Protection Pledge today, Amazon is committed to strengthening America’s energy future. We seek to improve affordability, reliability, and innovation by investing in new grid energy, building responsibly, and partnering with communities to deliver digital economy benefits for everyone.  

Even as we invest in modernizing the grid, more work is needed. Much of America’s electric grid was built for a different time, and now 70% of transmission lines are over 25 years old. Slow permitting and administrative delays are holding back important energy and infrastructure projects, causing higher utility bills and putting growth and US competitiveness at risk. That’s why we keep encouraging bipartisan network teamwork at all levels to unlock private-sector innovation and investment, strengthen America’s technology, and protect long-term economic and national security.  

The Ratepayer Protection Pledge is an important step toward a stronger grid that supports American families, drives our economy, and keeps the United States at the forefront of global innovation. We look forward to working with the Administration, Congress, utilities, regulators, and policymakers at every level to protect ratepayers, strengthen the grid, invest in national infrastructure, and build America’s energy future.  

Source: A responsible path forward for America’s energy future 

News Highlights 

• Meta and AMD have announced a multi-year partnership to expand Meta’s AI infrastructure using advanced, next-generation AMD Instinct GPUs for training and deploying high-performance AI models.  

• The partnership involves deploying up to 6 GW of AMD Instinct GPUs over several years.  

• The first phase will use AMD Helios rack-scale architecture, showcased at the 2025 Open Compute Project Global Summit. Shipments of these custom AMD Instinct MI450 GPUs, specifically designed for Meta’s AI workloads, will begin in the second half of 2026.  

• AMD and Meta are strengthening their partnership through aligning their plans for GPUs, CPUs, systems, and software.  

The 6 GW agreement will power Meta’s next-generation AI infrastructure using AMD Instinct GPUs.  

The initial Gigawatt-scale deployment features custom AMD Instinct MI450 GPUs and 6th Gen AMD EPYC Venice CPUs. These are integrated with ROCm software and AMD Helios rack-scale architecture, developed through collaboration in the Open Compute Project. Shipments start in the second half of 2026. etc.  

We are proud to expand our partnership with Meta as they advance AI at scale, said Dr. Lisa Xu, Chair and CEO of AMD. This collaboration aligns our roadmaps, delivering high-performance, energy-efficient infrastructure optimized for Meta’s workloads and accelerating a major AI deployment.  

We are excited to partner with AMD to deploy efficient compute and deliver personal super intelligence, said Mark Zuckerberg, founder and CEO of Meta. This partnership helps diversify our compute, and I expect AMD to be an important, long-term partner.  

Beyond GPUs, AMD and Meta are expanding their collaboration on EPYC processors. Meta has used millions of AMD EPYC CPUs and various MI300/MI350 GPUs. CPUs remain crucial for scaling complex AI systems. Meta will be among the first to use 6th Gen EPYC CPUs from AMD, optimized for performance and efficiency.  

As part of the agreement to further align strategic interests, AMD has issued Meta a performance-based warrant of up to 160 million shares of AMD common stock. The warrant will vest as certain shipment milestones for Instinct GPUs are met, with the first tranche vesting upon the initial 1 GW of shipments, expected to occur after shipments begin in the second half of 2026.  

• Additional tranches vest as Meta’s purchases scale to 6 GW.  

• Vesting is further tied to AMD achieving certain stock price thresholds.  

• Exercise is tied to Meta achieving key technical and commercial milestones.  

We expect this partnership to drive substantial multi-year revenue growth and be accretive to our non-GAAP earnings per share, representing another major step forward in delivering on our ambitious long-term financial model, said Jean Hu, EVP, CFO, and Treasurer, AMD. The performance-based structure also tightly aligns AMD and Meta around execution and long-term value creation.  

AMD and Meta are working together on hardware systems and software to build a global AI infrastructure. The goal is to speed up AI innovation and deliver AI-powered services to billions of people. 

News Summary 

• AMD is adding to its Ryzen AI lineup with the new Ryzen AI 400 series and Ryzen AI Pro 400 series desktop processors. These are the first desktop processors designed for next-gen AI PC applications and support Co-Pilot+PC features.  

• OEM Partners are launching new AI PCs, including Enterprise Notebooks and Mobile Workstations, that use AMD Ryzen AI Pro 400 Series Mobile Processors.  

• RyRyzen AI 400 series mobile processors deliver up to 30% faster multi-threaded performance, helping professionals finish tasks more quickly while maintaining battery life. AMD now provides its widest range of Enterprise PC solutions supported by the AMD Pro platform. This platform improves security, manageability, and resilience for large-scale AI PC rollouts.  

At Mobile World Congress 2026, AMD introduced the Ryzen AI 400 series and Pro 400 series of desktop processors. These offer strong on-device AI acceleration, supporting demanding tasks and enabling local AI applications. Workstations are also joining the Ryzen AI 400 mobile lineup. These processors let OEMs offer high-performance systems for demanding workloads.  

The AI400 series supports Microsoft Co-Pilot Plus, featuring an NPU delivering up to 50 TOPS of AI power for running AI tools on-device, providing better control and privacy. The desktop PC is evolving from a tool you use to an intelligent assistant that works alongside you. Said Jack Huynh, senior vice president and general manager of the Computing and Graphics Group at AMD: “With the Ryzen AI400 series processors, the world’s first designed to power new Copilot + experiences on the desktop.” We are bringing powerful AI acceleration that enables our partners to build systems that empower both enterprises and consumers to do more and create more.  

The World’s First Co-Pilot + desktop processor for next-gen AI applications 

The AMD Ryzen AI 400 series combines a Zen 5 CPU, RDNA 3.5 graphics, and an XDNA 2 NPU, delivering scalable performance and local AI acceleration across tasks such as multitasking, software development, and AI-assisted work. 

Ryzen AI 400 Series Desktop Availability 

AM5 desktop systems with Ryzen AI 400-series processors are expected to be available from OEMs such as HP and Lenovo starting in the second quarter of 2026.  

Source: AMD Gives Consumers and Businesses More AI PC Options with Expanded Ryzen™ AI 400 Series Portfolio 

Ericsson has expanded its partnership with Intel to develop and bring to market what it describes as AI-native 6G solutions.  

Intel and Ericsson aim to jointly develop complete AI-native 6G solutions that span the full network spectrum, from connectivity to the cloud, RAN, packet core, and security. Ericsson retains its own silicon while Intel’s technology enhances performance.  

The goal is to create a network design that integrates smart, programmable networks with advanced computing and real-time sensing. This should lead to more responsive, efficient, and capable services and help sensing and computing work more closely together.  

6G is not simply an iteration of mobile technology. It is the infrastructure that will distribute AI across devices, the Edge and the Cloud, said Ericsson CEO Borje Ekholm. Ericsson’s long history of network innovation and large-scale operator deployments enables us to lead practical integration across the value chain and move 6G from research into commercial reality.  

Aside from the technology itself, the expanded partnership is a strategic move for Intel to strengthen its position in the telecom sector, following early progress in mobile with its Xeon-based v-RAN solutions. Intel has faced stiff competition from Nvidia, which is gaining ground with AI accelerators for networks like AI RAN.  

Ericsson’s announcement comes soon after its rival, Nokia, shared updates on its progress in developing AI-native 6G infrastructure with NVIDIA. Last year, NVIDIA, a competitor to Intel, invested $1 billion in Nokia to support its AI-RAN ambitions.  

Intel and Ericsson seek to differentiate themselves by emphasizing energy efficiency. Intel is recognized for CPUs and Nvidia for GPUs, which shape each company’s energy strategy.  

Intel’s ambition is to be the undisputed technology leader in combining R&D and core and edge AI to enable an effortless transition to AI-native 6G environments. Together with Ericsson, we will continue to demonstrate that the future of network connectivity is open, power efficient, secure, and grounded in Intelligent AI Inference, said Lip-Bu Tan, CEO of Intel.  

With future Ericsson silicon powered by Intel’s most advanced process nodes, ongoing multi-year research plans, and flexible AI-RAN-ready cloud RAN powered by Intel Xeon, we are well on our way to bringing the future performance, efficiency, and supply security that the world’s leading operators require.  

All four companies envision AI-powered 6G networks. For the US, Ericsson and Intel’s approach emphasizes coast-to-coast network coverage and energy efficiency, but the winning strategy remains to be seen.  

Source:  Ericsson and Intel lay out their vision for ‘AI-native 6G’ 

Windows 11 Insider Preview build 28020.1685 is now out in the Canary Channel.  

Canary Channel offers Microsoft’s most experimental public previews for early feature and platform tests.  

• The 28000 series for features  

• The optional 29500 series for platform development  

Features in Canary roll out gradually and might not show up for all testers right away.  

The Windows Insider team’s blog post about Build 28020.1685 is brief, with at least two updates, and repeats the usual warnings about possible problems:  

• a controlled feature error  

• ongoing translations  

• The need for a full reinstall to leave Canary  

The post refers to this build as KB5079381.  
 
Next, I will explain what these updates mean day to day. I’ll compare them with Windows Notes and independent reports, discuss what they mean for testers and IT staff, and offer tips for users and admins who may use this build.  

What’s new in Canary Build 28020.1685? 

We are excited to share these changes and improvements, which you can turn on with a switch.  

Storage: Removing Windows Update files and Windows. Old through Settings > System > Storage is now easier and works better.  

File Explorer: Now you can easily use voice typing (Windows key + H) when renaming files in File Explorer. Give it a try.  

Reminders for Windows Insiders in the Canary Channel 

• Curious about what’s next for Windows 11? Become a Windows Insider for early access to exciting new features and updates. Keep in mind these builds may be unstable and have limited documentation.  

• We use control-feature rollout to test features with a small group, gather feedback, and then expand them to more insiders.  

• A desktop watermark in previous days is normal.  

• Some features may reach Dev and Beta channels before Canary.  

• The features may not be fully localized. Please report any language issues through the feedback hub.  

To leave the Canary Channel, perform a clean install of Windows 11. You can’t switch to a lower build number without this step due to technical requirements.  

Want to know which build is available in each insider channel? Visit the flight hub and stay up to date with the latest.  

Source: Announcing Windows 11 Insider Preview Build 28020.1685 (Canary Channel)  

Google Core Updates can significantly change search rankings, web traffic, and online visibility. The March 2026 update will likely emphasize content quality, user experience, AI detection, and authority signals.  

To stay ahead, it’s essential to know how core updates impact rankings and the steps needed to adjust your SEO approach.  

What is a Google Core Update? 

A Google Core Update is a major change to how Google ranks websites. Unlike updates that target spam or certain topics, Core Updates change how Google looks at certain things, like:  

• Content Quality  

• Relevance  

• Authority  

• User Experience  

• Technical SEO performance.  

These updates don’t directly punish websites. Instead, they review content across the web and reward pages that better meet users’ needs.  

Key themes of the March 2026 Google Core Update 

Google doesn’t usually share exactly how it ranks websites, but experts say this update focuses on:  

• Stronger E-E-A-T signals  

Google still prioritizes experience, expertise, authoritativeness, and trustworthiness. Sites that show real expertise and clear authorship tend to stay more stable after updates.  

• AI Content Quality Detection  

As more content is generated by AI, Google is getting better at identifying thin, low-value, or overly automated pages. The goal isn’t to punish AIuse, but to reward content that is original, helpful, and made for users.  

• Searching Tent Alignment  

Pages that clearly answer user questions, are well structured, and are easy to read are doing better than pages that are vague or stuffed with keywords.  

• Technical Performance Signals  

Core Web Vitals, Fast Site Speed, Mobile First, and a well-designed, simple site structure are still key for good rankings.  

How This Update Impacts Businesses 

After a core update, businesses might notice:  

• Increased organic traffic  

• Decreased Rankings  

• Keyword position fluctuations.  

• Changes in featured snippet visibility  

If your rankings go down, it’s rarely because of a penalty. Usually, it means your competitors have improved their content or user interface.  

Businesses that focus on local SEO, technical audits, and smart content planning are more likely to stay steady during algorithm changes.  

Signs Your Website May Be Affected 

Check your analytics if you see any of these signs:  

• Subtle traffic declines without a seasonal explanation  

• Keyword ranking drops across multiple pages.  

• Reduced click-through rates from search results  

• Lower engagement metrics  

After identifying potential signs of an impact, it’s important to closely monitor key analytics following a core update. Closely monitor your Google Search Console and organic traffic.  

How To Optimize After The March 2026 Google Core Update 

If your site’s content performance has changed a lot, try these steps.  

Audit Content Depth: Ensure each page fully answers users’ needs and offers clear value.  

Improve Internal Linking: Add relevant internal links to build authority and guide visitors.  

Elevate trust signals by clearly showing authority, credentials, reviews, and contact info.  

Optimize Technical SEO. 

Through a complete technical SEO check, PISPOP issues like:  

• Crawl errors  

• Broken links  

• Duplicate content  

• Page speed issues  

• Mobile usability problems  

Remove or consolidate thin pages. 

Low-value or outdated pages can dilute a site’s overall authority.  

Why algorithm updates are an opportunity 

Core updates can seem disruptive, but they aim to improve search results. Companies with a solid content strategy, rather than a quick fix, often benefit after updates.  

If you follow a detailed SEO plan, create quality content, and update consistently, your website will grow steadily.  

Conclusion 

In March, Google Core Update reinforces Google’s devotion to quality, relevance, and user-first content. Businesses that value authority, technical performance, and meaningful user involvement will continue to perform well.  

Being proactive and strategic after updates helps your site grow and maintain performance.  

Source: March 2026 Google Core Update