Author name: ITMAITY

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Grok 2.5 and Dell AI Factory Power AI Revolution

Experience scalable, secure AI powered by Grok 2.5 and Dell’s cutting-edge infrastructure. Simplify adoption with pre-validated models and seamless integration.   ​  ​Experience scalable, secure AI powered by Grok 2.5 and Dell’s cutting-edge infrastructure. Simplify adoption with pre-validated models and seamless integration. Innovation Blog | Dell

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AI with Your Data, Your Way

Dell and Cohere streamline enterprise AI model platform adoption for control and security.   ​  ​Dell and Cohere streamline enterprise AI model platform adoption for control and security. AI Solutions Blog | Dell

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Modern PC Refresh Made Easy

Technology changes fast – Equipping teams with modern PCs is essential for driving innovation, productivity and growth.   ​  ​Technology changes fast – Equipping teams with modern PCs is essential for driving innovation, productivity and growth. Thought Leadership Blog | Dell

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The Secret to AI Success? A Smarter Data Platform

Accelerate AI with the Dell AI Data Platform—open, modular, and powered by PowerScale for today’s fastest workloads.   ​  ​Accelerate AI with the Dell AI Data Platform—open, modular, and powered by PowerScale for today’s fastest workloads. PowerScale Blog | Dell

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Empowering Innovation through Cyber Resilience

Dell equips organizations to fortify data, adapt to evolving threats, and innovate confidently in a dynamic digital world.   ​  ​Dell equips organizations to fortify data, adapt to evolving threats, and innovate confidently in a dynamic digital world. Cyber Resilience Blog | Dell

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LoRA: Optimizing Text-to-Image Generation for Creative Teams

Did you know that blog posts with images and infographics receive 94% more views than those without? In creative industries, whether it’s marketing, design, or content production, the demand for customized visuals is higher than ever.   ​  ​Did you know that blog posts with images and infographics receive 94% more views than those without? In creative industries, whether it’s marketing, design, or content production, the demand for customized visuals is higher than ever. Dell Pro Max Blog | Dell

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AI ROI Can Be Huge On Premises

Deploying AI on premises with the Dell AI Factory with NVIDIA could yield a four-year ROI of 1,225% and nearly $26 million in cost savings.   ​  ​Deploying AI on premises with the Dell AI Factory with NVIDIA could yield a four-year ROI of 1,225% and nearly $26 million in cost savings. AI Solutions Blog | Dell

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Secure AI PCs, Meet Secure On-Device AI Apps

Mitigate risk in your GenAI journey – from development to deployment. Secure Dell AI PCs + Dell Pro AI Studio can help.   ​  ​Mitigate risk in your GenAI journey – from development to deployment. Secure Dell AI PCs + Dell Pro AI Studio can help. Endpoint Security Blog | Dell

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Power AI Innovation: All-Flash ObjectScale XF960 with 4.1

See how Dell ObjectScale 4.1 and the XF960 all-flash appliance deliver industry-leading, extreme performance for AI workloads.   ​  ​See how Dell ObjectScale 4.1 and the XF960 all-flash appliance deliver industry-leading, extreme performance for AI workloads. ObjectScale Blog | Dell

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From AI/ML to Agentic AI at the Edge

We’ve seen AI evolve for CSPs, from foundational AI/ML to Generative AI and Agentic AI, driving real-world benefits and ROI.   ​  ​We’ve seen AI evolve for CSPs, from foundational AI/ML to Generative AI and Agentic AI, driving real-world benefits and ROI. Telecommunications Blog | Dell

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Dell PowerScale and NVIDIA: Tackling the AI Data Challenge

From Trusted Storage to GPU-ready Innovation – PowerScale delivers uncompromising performance, unbound intelligence and unmatched safeguards.   ​  ​From Trusted Storage to GPU-ready Innovation – PowerScale delivers uncompromising performance, unbound intelligence and unmatched safeguards. Artificial Intelligence Blog | Dell

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Cyber-Resilient AI: Building a Secure Foundation with Dell

Discover how Dell’s AI Factory and PowerProtect solutions empower secure AI innovation with a robust cyber-resilient foundation.   ​  ​Discover how Dell’s AI Factory and PowerProtect solutions empower secure AI innovation with a robust cyber-resilient foundation. Cyber Recovery Blog | Dell

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Auf Wiedersehen, GitHub ♥️

Over a decade ago, my family and I made the leap to move from Germany to the United States after the sale of my startup to Microsoft. In the years since, I’ve had the privilege of working with many exceptional human beings, including Hubbers, Microsofties, customers, partners, our GitHub Stars, open-source maintainers, and developers around the world who’ve helped us shape GitHub. From building mobile developer tools, to running the acquisition of GitHub alongside Nat Friedman, to becoming GitHub’s CEO and guiding us into the age of Copilot and AI, it has been the ride of a lifetime. Still, after all this time, my startup roots have begun tugging on me and I’ve decided to leave GitHub to become a founder again. GitHub and its leadership team will continue its mission as part of Microsoft’s CoreAI organization, with more details shared soon. I’ll be staying through the end of 2025 to help guide the transition and am leaving with a deep sense of pride in everything we’ve built as a remote-first organization spread around the world. With more than 1B repos and forks, and over 150 million developers, GitHub has never been stronger than it is today. We have seen more open-source projects with more contributions every year. AI projects have doubled in the last year alone. And our presence in companies of any size is unmatched in the market. The GitHub platform has continued to lead with incredible momentum. We massively improved accessibility and availability, brought GitHub to the EU, Australia, and back to the US for FedRAMP certification, and fixed a ton of small and not-so-small papercuts. GitHub Advanced Security transformed the industry toward “found means fixed” with the power of AI, reducing mean time to remediation by 60% and enabling teams to fix vulnerabilities 3x faster. GitHub Actions has firmly matured into the world’s leading CI solution, now powering 3 billion minutes per month — up 64% year-over-year — fueled by many key ships and stability improvements. And of course, together, we launched and scaled Copilot from a simple, but magical autocompletion tool to conversational coding with Copilot Chat & Voice, to reviewing and fixing code, to full-stack app creation with GitHub Spark. Today, GitHub Copilot is the leader of the most successful and thriving market in the age of AI, with over 20 million users and counting. We did this by innovating ahead of the curve and showing grit and determination when challenged by the disruptors in our space. In just the last year, GitHub Copilot became the first multi-model solution at Microsoft, in partnership with Anthropic, Google, and OpenAI. We enabled Copilot Free for millions and introduced the synchronous agent mode in VS Code as well as the asynchronous coding agent native to GitHub.  Because of your relentless work, GitHub Copilot has introduced the greatest change to software development since the advent of the personal computer. While I’m certainly proud of our hard-earned business growth, technology built for its own sake means nothing but vanity unless it serves a greater purpose. We only succeed when the world succeeds, too. By launching this new age of developer AI, we’ve made it possible for anyone — no matter what language they speak at home or how fluent they are in programming — to take their spark of creativity and transform it into something real. I am more convinced than ever that the world will soon see one billion developers enabled by billions of AI agents, each imprinting human ingenuity into a new gold rush of software. When that day comes, we’ll know where the path began: with GitHub.  Thank you, Hubbers. Being your colleague and your leader has been a great honor and I will cherish our many beautiful moments. Together, we’ve bent the arc of technology for the better. So long, and thanks for all the fish, Thomas The post Auf Wiedersehen, GitHub ♥️ appeared first on The GitHub Blog. ​ Company news, News & insights The GitHub Blog

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Securing the supply chain at scale: Starting with 71 important open source projects

When the Log4j zero day broke in December 2021, everyone learned the same lesson: One under-resourced library can send shockwaves through the entire software supply chain. Today the average cloud workload includes over 500 dependencies, many of them tended by unpaid volunteers. The need to support and secure this ecosystem has never been more urgent. In response, GitHub launched the GitHub Secure Open Source Fund in November 2024, which provides maintainers with financial support to participate in a three-week program that delivers security education, mentorship, tooling, certification, community of security-minded maintainers,  and more. By linking this funding to programmatic security outcomes, our goal is to increase security impact, reduce risk, and help secure the software supply chain at scale. Already, we’re seeing measurable impact from proactive work. Our first two sessions brought together 125 maintainers from 71 important and fast growing open source projects  Early outcomes include:  Remediated over 1,100 vulnerabilities detected by CodeQL, reducing their risk surfaces. Participants issued more than 50 new Common Vulnerabilities and Exposures (CVEs), informing and protecting their downstream dependents. Prevented 92 new secrets from being leaked and 176 leaked secrets were detected and resolved  Empowered maintainers for long-term success, with 100% saying they left with actionable next steps for the following year’s roadmap.  Accelerated adoption of security best practices, with 80% of projects enabling three or more GitHub-based security features. Prepared projects for the future of development, as 63% said they have a better understanding of AI and MCP security. Maintainers found novel ways to partner with and use AI to accelerate learnings and implement solutions, with many consulting GitHub Copilot to conduct vulnerability scans and security audits, define and implement fuzzing strategies, and more.  These results show direct security impact immediately from the sessions, and the momentum is just beginning. Maintainers have embraced a culture of security, built out security backlogs, and are actively sharing insights with the maintainers in the community, and with their direct project contributors and consumers. As a result, the entire ecosystem benefits — and the security impact will continue to grow. And we’re not done. Session 3 starts in September 2025, and we want to bring more maintainers that work deeper in the dependency tree and those that manage critical dependencies by themselves. To see the immediate impact following Sessions 1 and 2, let’s look at what changed inside the categories of code that power almost everything you build. How the GitHub Secure Open Source Fund works Each session is a three-week sprint and engagement for a total of 12 months. The three-week sprint is designed and curated by the GitHub Security Lab, and delivered by security experts from GitHub and our partners. The training is structured into different focus areas per week. These include:  Foundations of open source security Threat modeling and secure coding Vulnerability management and AI security Throughout this program, each project receives $10,000 USD via GitHub Sponsors (which breaks down to $6,000 USD during the sprint and $2,000 USD at 6- and 12-month security check-ins). Projects are also invited to a new security focused community, and office hours with the GitHub Security Lab, that they can take advantage of during the full 12 months. They also receive security resources to immediately implement in their project and Azure credits for cloud infrastructure. Learn more > AI and ML frameworks / edge-LLM tooling 🤖 Ollama • AutoGPT/Gravitasml • scikit-learn • OpenCV • CodeCarbon •  Zeus • Cognee • CAMEL-AI •  Ruby-OpenAI These projects are the bedrock of the current AI work with LLMs, agents, orchestration layers, and model toolchains. Together they rack up tens of millions of installs and git clone commands each month, and they’re baked into cloud notebooks like Jupyter, Google Collab, AWS SageMaker, and Microsoft Azure ML. A prompt-injection flaw or poisoned weight file here could spill into thousands of downstream apps overnight, and the teams who rely on them often won’t even know which component failed. Why it matters 🤔 Think of an LLM agent that deploys new micro-services automatically; if its dependency graph gets hijacked, the attacker gains instant “remote DevOps” powers. Hardening these projects helps to protect everyone further up the stack. Project spotlight: Ollama  This project makes running large language models locally possible. Ollama is the easiest way to chat and build with open models. They used this opportunity to threat-model every moving part of their system – from their use of GitHub Actions, DNS security, model distribution, how the models are executed in Ollama’s engine, auto-update checker, and more — then they pruned unused dependencies.  The GitHub Secure Open Source Program is a safe space to ask leading experts security questions, and learn how other high-impact projects address similar challenges. Project spotlight: GravitasML by AutoGPT GravitasML is an MIT licensed XML parser for LLMs, built by the team that launched AutoGPT to be simple and secure by design. Fresh out of the sprint, the AutoGPT team wired CodeQL into every pull request across the AutoGPT Platform and GravitasML, and built a lightweight “security agent” that nudges contributors to tighten controls as they code. This helped turn passive checks into continuous coaching. The maintainers overhauled their security policy, stood up a formal incident-response workflow, and mapped out 28 follow-up tasks (from fuzzing their XML parser to completing the OSS Scorecard) to build a durable roadmap for safer LLM agents at large. The AI-agent ecosystem is safer — and will keep getting safer — because of the Secure Open Source Fund. Front-end and full-stack frameworks / UI libraries 📚 Next.js • Nuxt • Svelte • NativeScript • Bootstrap • shadcn/ui • Path-to-RegExp • WebdriverIO These frameworks ship the pixels users touch and often bundle their own server-side routing. Their install bases number in the millions, and improving their security posture closes off potential XSS, template-injection, and supply-chain hop points. The Bootstrap project alone powers nearly 17.5% of the world’s websites, and Next.js drives the frontends for Notion and Adobe, among many others. Why it matters 🤔 A single vulnerable

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