2026-09-15 14:49
🚀 Java 27 has officially launched as of September 15, 2026, following the six-month release schedule. This version introduces nine JEPs, including four final features and four preview features that are maturing. IntelliJ IDEA remains a strong supporter of the latest Java versions, benefitting from the JDK changes. For those using IntelliJ, setting up Java 27 is straightforward. You can download JDK 27 directly within the IDE or use tools like SDKMAN! and asdf. Explore the enhancements and get...
Marit van Dijk
2026-09-15 14:00
Managing cloud resources effectively is crucial for cost control. 🖥️ A recent article highlights the issue of unassigned cloud instances, especially when the original engineer has left. This can lead to unnecessary expenses and confusion. To tackle this, three key strategies are suggested: 1. **Continuous Inventory**: Use tools to maintain an up-to-date asset inventory. 2. **Owner Tagging Policy**: Implement policies that require every resource to have an assigned owner. 3. **Regular...
Zeen Rachidi
2026-09-14 11:00
Implementing caching strategies can significantly reduce costs when using large language models (LLMs). By checking if the inputs and context have changed before making a request, you can avoid unnecessary charges. This is achieved by creating an exact-match cache key based on fingerprints of the inputs. In practice, this approach minimizes compute waste in production data pipelines and can help manage costs associated with repeated LLM queries. Explore the benefits of exact-match caching to...
Abhilash Rao Mesala
2026-09-13 15:00
Chip Huyen's keynote at the P99 conference highlighted the high costs of inference in AI models compared to training. She emphasized that while training is a one-time expense, inference can be recurring, creating financial challenges. Huyen shared key metrics to measure latency, including Time to First Token (TTFT) and Time per Output Token (TPOT). For more insights, check out her talk and recap ahead of P99 CONF 2026! 🎤💡 #AI #Inference #P99Conference #TechTalk #LatencyMetrics
Tim Koopmans
2026-09-11 13:01
🔒 Is your encrypted server stuck in initramfs? This article explains how to unlock a LUKS root over SSH on Fedora and RHEL. It details three commands and a kernel argument that enable NetworkManager and sshd in the initramfs environment. This allows remote unlocking of your encrypted root, ensuring smoother server management. For more insights, check out the full post! #Linux #Fedora #RHEL #ServerManagement #Encryption
Josephine Pfeiffer
2026-09-11 13:01
Unlock the potential of large language models (LLMs) with AutoRAG! These models rely on training data to understand context, including specific corporate jargon. Without the right data, they may misinterpret information, leading to inaccuracies. AutoRAG aims to enhance LLMs by providing tailored knowledge, improving their response quality. #AI #AutoRAG #LanguageModels #TechInnovation #DataScience 🤖📊
Diego Alvarez Ponce, Diego Garcia Perez
2026-09-11 13:01
Choosing the right edge platform is crucial for organizations. Options vary widely, from basic single-board computers to complex Kubernetes clusters with advanced features. Selecting an inadequate platform can lead to challenges as needs evolve. Understanding your requirements is key to making an informed decision. 🔧💻🌐 #EdgeComputing #RedHat #Kubernetes #TechDecisions #CloudSolutions
Daniel Froehlich
2026-09-11 00:00
Understanding the total cost of ownership (TCO) for your DevOps platform is crucial for managing budgets effectively. 💰 TCO goes beyond subscription fees, incorporating variable costs like CI/CD compute, AI usage, and necessary infrastructure. A well-designed TCO model can illuminate spending, justify expenses to stakeholders, and pinpoint areas for cost reduction without affecting software delivery. Key cost drivers include platform access, CI/CD consumption, AI capabilities, and support...
GitLab
2026-09-10 15:00
Unlock the power of biomolecular structure prediction with NVIDIA's BioNeMo Inference Runtime (BioIR). 🚀 BioIR accelerates structure-prediction models on NVIDIA GPUs, maintaining the PyTorch workflow. It boosts throughput for large batches by utilizing Ray for multiple model replicas. Notably, BioIR contributed to the AlphaFold Database, generating high-confidence predictions for over 4,777 proteomes! 🔬 Explore its end-to-end capabilities and enhance your research efficiency....
Elizabeth Goodman
2026-09-10 12:30
AI code generators can speed up development, but they introduce a significant risk: Comprehension Debt. This occurs when teams lose understanding of their software architecture due to AI-generated code that may function correctly but violates design principles. To combat this, the article suggests transitioning from passive documentation to Executable Architecture using tools like pytest-archon. It emphasizes the importance of CI/CD pipelines to monitor architectural boundaries, as human...
Emmanuel Akita
2026-09-09 14:01
Explore the benefits of using local and open source coding assistants! Many popular AI coding tools lack transparency or compromise your data privacy by relying on cloud processing. For those seeking alternatives, consider integrating an open coding assistant with an open source IDE. Stay in control of your projects while enhancing your coding experience! 💻🔍 #OpenSource #Coding #DataPrivacy #AI #DeveloperTools
Seth Kenlon
2026-09-09 12:02
🚀 Rust AI is advancing from experimentation to practical applications! We launched a new livestream series with the Rust Foundation, featuring Developer Advocate Orhun Parmaksız and Rig Lead Maintainer Stephen Korzeniewski. They discussed how Rust and AI can work together in real-world scenarios. During the first session, Orhun showcased a coding agent created with Rig and Ratatui. Viewers learned about Rig's capabilities, which streamline interactions with various LLM providers like OpenAI...
Irina Mihajlovic
2026-09-08 00:00
Unlock the potential of #GitLab Duo Self-Hosted by connecting it with models in #Microsoft Foundry! This setup allows organizations to manage code securely while meeting data sovereignty and residency requirements. With options to select model families like GPT, Claude, Llama, and Mistral, teams can customize deployments to fit their needs. Key benefits include: - Deployment choice for data residency - Feature-level model configuration - Azure integration for centralized operations Explore...
Evgeny Rudinsky
2026-09-07 07:01
🚀 Red Hat Developer Hub offers a new approach to software template authoring with rhdh-templates. Platform engineers and developers often face challenges with Nunjucks syntax and locating YAML files. The process can lead to errors that are only identified after rendering in the developer portal. AI tools may assist with generic YAML, but they do not support the specific conventions of Red Hat Developer Hub and Backstage. #RedHat #DeveloperHub #YAML #SoftwareTemplates #TechNews
Kashish Mittal
2026-09-05 03:01
Unlocking the potential of AI in operations is crucial for effective incident management. In a recent article, a basic AIOps workflow was developed using AWS EC2, Red Hat Enterprise Linux, Red Hat Ansible Automation Platform, and Claude Code. The focus is on transforming insights from incidents into safe, repeatable actions. Explore how technology can streamline operations! 🌐💻 #AIOps #RedHat #Automation #TechTrends #IncidentManagement
Neha Chugh
2026-09-04 18:04
🚀 Exciting advancements in AI are here! The article discusses the development of a memory-driven Chief of Staff agent using NVIDIA NemoClaw. This AI agent reconstructs context to enhance productivity in enterprise workflows. Key features include a self model that organizes relevant information, tracks obligations, and allows user corrections to build trust. The design emphasizes maintaining context, separating evidence from action, and prioritizing user intent. For more insights, check the...
Tanya Lenz
2026-09-04 16:21
🚀 Running AI at the edge is becoming easier! Recent advancements have led to the development of compact open models that can perform multi-step reasoning without relying on data centers. This shift allows NVIDIA Jetson to run models like Nemotron 3.5 Lightning and Qwen3.8-27B locally, enabling applications in various fields. Developers can now optimize inference performance and validate configurations more effectively. Key topics include model selection, NVFP4 quantization, and usage of vLLM....
Elizabeth Goodman
2026-09-04 07:01
In shared AI and high-performance computing clusters, managing limited hardware resources like GPUs and CPUs is crucial for OpenShift platform engineers. The FIFO admission rule can lead to long wait times for later workloads, impacting service predictability. Red Hat build of Kueue 1.4 introduces two methods for ensuring fairness: fair sharing-based preemption and admission fair sharing. Learn more about optimizing resource management! 🚀💻 #OpenShift #Kueue #ResourceManagement #AI...
Maysa De Macedo Souza
2026-09-03 22:36
Modern AI platforms are complex, often requiring users to navigate multiple clusters and services. A central identity gateway can streamline user identity across federated environments. Traditional single sign-on (SSO) methods fall short when users move between systems. A central gateway maintains user sessions while data-plane gateways validate identities for applications, enhancing security and user experience. This approach has shown a 55% reduction in login events at NVIDIA, supporting...
Elizabeth Goodman
2026-09-03 20:17
Understanding system failures is vital for maintaining performance. 📊 Metrics dashboards provide a system's health snapshot, while logs help identify specific failures. Tracing, however, tracks requests from origin to user, offering deeper insights into issues. Yet, managing tracing data can be overwhelming and costly. Techniques like head sampling and dynamic sampling can help manage data effectively. For more insights, check out the latest episode of The New Stack podcast featuring Sarah...
Alex Wilhelm
2026-09-03 16:58
In part 2 of the series on local guardrail development, the focus is on evaluating LLM guardrail configurations using EvalHub. The article expands on the design and development process discussed in the first part, emphasizing the importance of manual testing to ensure effectiveness. Stay tuned for further insights on enhancing local configurations! 🔍💻 #EvalHub #LLM #GuardrailDevelopment #RedHat #TechInsights
Rob Geada
2026-09-03 10:45
🚀 In a recent interview with Ardit Sulce, a leading Python instructor on Udemy, key insights were shared on learning to code in the AI era. He emphasizes the importance of practical application, stating that beginners should focus on building real projects with professional tools. Ardit also discusses the evolving role of teachers, noting that AI now handles many basic queries, allowing educators to focus on more complex student needs. For junior developers, mastering three key skills is...
Regina Muradova
2026-09-03 07:01
🚀 Adopting eval-driven development is crucial for reliable AI agents. However, implementation can be challenging. Even agents that perform well in basic scenarios may face subtle issues in production. These include misusing tools, straying off-topic, or providing plausible but incorrect responses. Unit tests often miss these failures, highlighting the need for better evaluation methods. #AI #EvalDrivenDevelopment #IBM #OpenShift #TechInsights
Hema Veeradhi, Surya Pathak
2026-09-02 08:48
🛠️ Understanding error handling in Go is crucial for developers. Unlike other languages, Go treats errors as values, integrating them into the program flow. This article explains various types of runtime errors, including logical, I/O, and network errors, and offers techniques for effective error management. For hands-on practice, a code repository is available to explore examples. 📚 #GoProgramming #ErrorHandling #CodingTips #SoftwareDevelopment #Programming
Dominika Stankiewicz
2026-09-02 03:16
🚀 Model sizes are rapidly increasing, doubling each year, while GPU memory struggles to keep pace. 📈 The article discusses LLM quantization, a technique that enables efficient deployment of large models on accessible hardware. This is essential for serving multiple users effectively. 💡 Learn how quantization can help in managing resource limitations while maximizing performance. #LLM #Quantization #MachineLearning #AI #TechTrends
Cedric Clyburn
2026-09-02 00:00
At GitLab, we explored how different engineering teams utilize AI tools, revealing that team fluency is crucial for effective adoption. Our hybrid model combines centralized governance with decentralized strategies to foster AI innovation and quality. Key roles include AI Transformation Owners and AI champions who drive local strategies and support teammates. We've also implemented the AI Literacy Ladder to assess team members' AI skills and provide tailored learning paths. This approach has...
Rob Allen
2026-09-01 15:00
Navigating the GPU landscape for AI inference can be challenging. This article discusses how organizations can effectively size their GPU resources while optimizing Total Cost of Ownership (TCO). Key considerations include understanding your use case, latency targets, and token patterns. The four primary workload categories are AI Chatbots, AI Agents, Content Generation, and Translation Apps. The piece emphasizes that choosing the right model and planning around real workload behavior can...
Elizabeth Goodman
2026-09-01 12:00
Ishaan Garg, a software engineering intern at Cisco, shares his journey to success through AI. After being selected as a winner in the Cisco Codex Challenge, he initially questioned the legitimacy of the email. With confirmation from colleagues, he embraced the achievement. His AI journey began before joining Cisco. Inspired by a podcast about AI in development workflows, he experimented with Codex on personal projects, enhancing his skills and understanding. This experience highlights the...
Cisco Interns
2026-08-31 16:30
🚀 Agentic AI is transforming research by enabling AI scientists to read literature, propose hypotheses, and prioritize experiments. NVIDIA's BioNeMo Agent Toolkit enhances scientific workflows by providing specialized tools for protein folding and molecular docking. This integration with Claude Science allows for efficient protein structure prediction using advanced models. To get started, ensure you have the necessary GPU setup and follow the guidelines for running BioNeMo NIM microservices....
Michelle Horton
2026-08-31 13:50
🔍 This article explores fine-tuning state-of-the-art object detection models for real-world applications. It builds on the theoretical background of models like YOLO12, YOLO26, and RF-DETR, transitioning to practical usage. The focus is on adapting these models to specialized datasets that differ from their original training data. Key points include the need for fine-tuning, as pretrained models often lack categories relevant to real-world scenarios, such as medical imaging or industrial...
Arina Belova
2026-08-28 17:06
Unlock the potential of Open AI models with NVIDIA TensorRT Model Connect! 🚀 This tool simplifies deploying models from Hugging Face to native C++ applications in just two commands. It provides reference implementations, allowing users to inspect and modify as needed. Additionally, TensorRT Model Connect supports custom GPU kernels and adapts to the evolving open model ecosystem. #NVIDIA #TensorRT #AIModels #MachineLearning #CPlusPlus
Tanya Lenz
2026-08-28 08:16
Running a multi-tenant Red Hat OpenShift cluster can be challenging. Currently, every backup and restore with Velero needs cluster-admin privileges. This limits application teams from managing their own workloads effectively. They often rely on the platform team, creating delays and bottlenecks in the process. A new approach to self-service backup may help streamline these operations. 🔄💻💡 #OpenShift #Backup #CloudComputing #DevOps #RedHat
Michal Pryc, Shubham Dilip Pampattiwar
2026-08-27 15:00
🚨 Exciting updates from Cisco on Security Certifications! 🚨 On August 13, a live session addressed key changes in the Cisco Security certification portfolio after six years. Candidates submitted nearly 80 questions, with the top ten answered in detail. Key dates to remember: - August 26, 2026: Last day to test current exams. - August 27, 2026: New exams launch, including SCOR v2.0. - September 2026: Training for SCOR v2.0 will be available. For full details, check out the session! 📅🔐 #Cisco...
Francois Caen
2026-08-27 00:00
Cities generate millions of data points daily, but often this data remains siloed in separate IT and OT systems. This separation hinders quick responses and hides potential issues. The article discusses how unifying Operational Technology (OT) and Information Technology (IT) can enhance public services. By bridging these systems, agencies can gain real-time insights and improve infrastructure management. Learn how data convergence is transforming city operations for better service delivery....
Brixton Pizzuti
2026-08-26 20:05
🚀 Navigation is key for robots to achieve autonomy, combining perception and motion effectively. Developing navigation for different robots or environments can be costly and complex. An agent-driven workflow simplifies this by allowing developers to define the robot and its goals while automating asset preparation and testing. The COMPASS framework enhances this process by enabling scalable cross-embodiment mobility, reusing navigation behaviors and training specialized policies without...
Tanya Lenz
2026-08-26 03:01
Discover a new method for automating Red Hat OpenShift AI installations using Helm and GitOps. This article builds on previous insights about managing OpenShift AI dependencies and presents a more streamlined approach for deployment. Learn how this can enhance your workflow! 🚀🔧 #RedHat #OpenShiftAI #GitOps #Helm #Automation
Davide Bianchi, Andrea Tarocchi
2026-08-25 16:28
Unlock your productivity with Heroku's lesser-known CLI commands! 🚀 Minimizing context switches is crucial for developers. The Heroku CLI offers powerful tools to streamline your workflow. 1️⃣ Use `heroku config -s` to export app configurations directly to your local .env file. 2️⃣ Monitor active database queries with `heroku pg:ps` for real-time insights. Explore these commands to enhance your coding experience! 💻✨ #Heroku #DeveloperTools #Productivity #CodingTips #CLICommands
Andy Smith
2026-08-25 14:00
The discussion on whether AI coding agents belong in an IDE or CLI highlights a crucial issue: how to verify agent-generated changes. Both environments offer unique advantages for reviewing code. IDEs allow for easier inspection and navigation, while CLIs facilitate automation and scripting. However, neither guarantees the correctness or security of changes. As AI tools can generate multiple changes quickly, establishing a solid verification process is essential. It’s important to treat AI-...
Taylor Luttrell-Williams
2026-08-24 15:00
🚀 AI is transforming networking, but understanding it isn't enough. To effectively leverage AI, professionals must build robust infrastructures and operationalize technology for optimal performance. Cisco's "Rev Up to Recert: Stack" offers essential learning paths, including the Designing Cisco UCS-X Series for AI, providing 15 CE credits. Free access is available from August 24 to October 8, 2026. #Cisco #AI #Networking #ContinuingEducation #TechTraining
Quinn Snyder
2026-08-24 07:01
🚀 Ray is a powerful open-source framework for scaling AI workloads, now integrated into Red Hat OpenShift AI. With the inclusion of the Training Hub, users can easily fine-tune large language models using algorithms like LoRA, SFT, and GRPO without complex setup. 🛠️ The article details how to run a LoRA fine-tuning job on Ray, focusing on SQL generation and model evaluation from a Jupyter notebook. A complete guide with examples is available in the Red Hat AI examples repository. 🔄 Ray offers...
Fiona Waters