2026-08-13 12:57
Discover how the llm-d model serving routes inference traffic on Amazon EKS! 🚀 This article explains the journey of a request from the ingress gateway to vLLM pods, highlighting the role of the endpoint picker (EPP) scheduler. The EPP determines the best pod for each request using real-time routing based on Kubernetes custom resources. For detailed insights, watch the accompanying video! 🎥 #Kubernetes #LLM #AI #ModelServing #AmazonEKS
Alexa Griffith
2026-08-13 07:16
Struggling with LLM deployment? Neural Navigator offers a data-driven solution to eliminate guesswork. It transforms natural language requirements into optimized infrastructure using a 4-step workflow: intent extraction, research-backed mapping, multi-criteria ranking, and 1-click deployment. This approach prioritizes service level objectives and benchmarks for efficient production. Learn more about enhancing your LLM deployments with precision! 🚀🔍 #LLM #NeuralNavigator #DataDriven #AI...
Yuval Luria
2026-08-13 03:01
🚀 The article discusses how to build a DIY pipeline for securing software supply chains amid rising cyber threats. It emphasizes the importance of signing, attesting, and verifying container images. The author implements a home lab using Red Hat tools like MicroShift, Gitea, and Sonatype Nexus for this purpose. Key frameworks such as SLSA and tools like Sigstore and Cosign are explored for enhancing security. Custom configurations and comparisons with Red Hat Advanced Developer Suite...
Kevin Chung
2026-08-12 00:00
GitLab has advanced its vulnerability tracking to address issues caused by non-functional code changes like comments and formatting. The new method, based on the Scope+Offset fingerprinting technique, allows for more accurate tracking by ignoring non-functional lines. This change has reduced duplicate findings by 100%, enhancing the reliability of scan results. 📈🔍 Evaluated on 439 source files across multiple languages, this method shows significant improvements in efficiency. Learn more...
Julian Thome
2026-08-11 13:00
🚀 Building AI agents involves more than just selecting a single model. Each model has unique strengths and weaknesses, impacting cost and performance. 🔄 NVIDIA NeMo Switchyard addresses this by routing tasks to the most suitable models, improving efficiency and accuracy without needing to redesign applications. 📊 This system allows developers to create more effective AI workflows, adapting to various workload requirements. #AI #NVIDIA #NeMoSwitchyard #MachineLearning #Efficiency
Michelle Horton
2026-08-11 00:00
This week, we made a significant improvement by removing a single log statement from a service's hot path. As a result, the 99th-percentile response latency dropped from ~48ms to ~18ms, and CPU usage decreased similarly. After the change, latency never exceeded 40ms, showcasing a clear performance boost. 📉 Interestingly, the change highlights the importance of measurement over code review in identifying performance issues. #TechUpdate #PerformanceOptimization #Python #SoftwareEngineering...
2026-08-10 16:00
🚀 Machine learning is reshaping container images, with sizes often reaching 20-30 GB. This poses challenges for rapid deployment on Amazon EKS, where pulling these images can take several minutes. 🔍 Profiling revealed that the bottleneck wasn't the network, but how software utilized available hardware. By optimizing the image pull pipeline, teams reduced pull times from minutes to seconds. 💡 Improvements are now standard in EKS Auto Mode and have been shared with containerd and SOCI...
Sri Saran Balaji Vellore Rajakumar
2026-08-10 07:01
🔒 The article discusses how the Red Hat build of Podman Desktop integrates with Project Hummingbird to enhance container security. 🛡️ Developers can now access hardened base images directly within their local workflow, minimizing unnecessary dependencies and reducing vulnerabilities. 🖥️ The Hummingbird extension simplifies the process by offering 1-click migrations and a catalog of secure images, making it easier to maintain production-ready containers. Explore the benefits of hardened images...
Axel Stefanini, Stevan Le Meur
2026-08-08 14:00
KubeVirt allows VMs to run on Kubernetes, but migrating them between clusters poses challenges. 🖥️ Live migration requires maintaining IP and MAC addresses, necessitating a stretched Layer 2 domain. Traditional setups demand extensive network changes, which can be time-consuming. The key obstacles are network requirements: a stretched L2 domain and a dedicated migration path to handle real-time memory state transfers. EVPN/VXLAN offers a solution, enabling efficient migration without altering...
Miguel Duarte Barroso
2026-08-05 03:01
🚀 During my internship at Red Hat, I explored improving hashmap performance in OVN and OVS by analyzing modern hash table designs. 🧩 My research built on a project by Rosemarie O'Riorden, who tested a new hashmap design. We compared its performance with existing implementations, focusing on metrics like insert and search times. 🔍 I also investigated Swiss tables, known for their efficiency, and created a new C library called dshmap for better integration. 📊 Benchmarks showed that while some...
Nicholas Hubbard
2026-08-04 16:00
🚀 A recent article discusses advancements in robotics, focusing on the shift from vision-language-action (VLA) models to world action models (WAM). WAMs address the challenge of generalizing policies by incorporating a video world model, enhancing a robot's ability to predict scene dynamics, unlike VLAs that primarily focus on semantic understanding. This evolution allows robots to better adapt to new conditions and tasks by leveraging physics knowledge. The NVIDIA Cosmos 3 model serves as a...
Michelle Horton
2026-08-04 15:38
Cisco has transformed its voice security by moving from manual processes to an AI-driven defense. They developed a nuisance call detection engine that uses behavioral analytics to identify suspicious call patterns in real time. However, detection alone isn’t enough. The next step involved operationalizing insights for IT and security teams to visualize threats and take immediate action. Learn more about the technical architecture behind this transformation. 🔍📞💻 #VoiceSecurity #Cisco #AI...
Bill Chhor
2026-08-04 14:32
🚀 Cisco DevNet is enhancing Model Context Protocol (MCP) servers by applying API engineering practices. Key practices include versioning, linting, changelogs, and documentation through a new format called MCP Description. These steps aim to address common concerns in enterprise development, such as consistent documentation and release comparisons. MCP, introduced by Anthropic in 2024, is an open standard for connecting AI applications to tools and data. Its dynamic discovery model allows AI...
Adrienne Moherek
2026-08-04 07:01
🚀 Exploring Retrieval-Augmented Generation (RAG) with AutoRAG! This article discusses how AutoRAG optimizes RAG for small models. It highlights the importance of tuning various settings like chunk size and retrieval methods to improve model performance. The demo showcases how AutoRAG evaluates different configurations to find the most effective way to retrieve context, ensuring better accuracy with less noise. For further insights, check out the full article! 🔍📊 #AutoRAG #MachineLearning...
Isaac Tigges
2026-08-04 03:16
🚨 Red Hat Enterprise Linux 10.2 has a kernel regression causing up to 93% throughput loss on multi-NUMA instances. This issue primarily affects larger machines, while smaller instances remain largely unaffected. To mitigate this, users can disable the NI_RANDOM scheduler feature without needing a reboot: `echo NO_NI_RANDOM > /sys/kernel/debug/sched/features` For detailed insights, refer to the full article. #RedHat #Linux #KernelRegression #Performance #TechUpdate
Sayali Bhavsar
2026-08-03 16:00
NVIDIA's new Vera BlueField-4 STX Storage Processor enhances AI-native storage systems. It improves encryption, compression, integrity checking, and recovery, addressing the growing demands of concurrent AI agents. Faster processing reduces CPU load and power use while increasing efficiency. The benchmark shows Vera outperforming traditional x86 CPUs, optimizing data flow and performance. #NVIDIA #AI #DataStorage #TechNews #Innovation 🚀💻📊🔒
Elizabeth Goodman
2026-08-03 15:44
🔒 Exploring quantum safety? The latest article discusses the Postquantum Preshared Key (PPK) as an alternative approach to secure key exchanges without new algorithms. By integrating a static, out-of-band secret into the IKE key schedule, PPK ensures that even if an attacker records a handshake, they can't access your traffic keys. This method works on legacy equipment that doesn’t support more advanced algorithms. Learn how PPK can provide post-quantum confidentiality today while paving the...
Julio Gomez
2026-08-01 14:00
In early 2025, Webflow began developing APIs for agents, focusing on the MCP server. They quickly realized that traditional developer APIs do not suit agent needs, as these APIs require human-like understanding and management. As a result, Webflow redesigned their approach, emphasizing intent-based tools and improving efficiency. This shift aimed to create more reliable workflows for agents, moving beyond just exposing existing APIs. The article highlights the critical lessons learned in...
Yan Xie
2026-07-31 22:16
Exploring AI model design is crucial as long-context workloads rise. 🧠 This article highlights the significance of attention in inference performance. It discusses how model architecture should align with GPU execution for optimal results. Key factors like group size, head dimension, and sequence length are examined, leading to practical guidelines for enhancing throughput and interactivity on NVIDIA GPUs. 📈 Stay tuned for insights on sparse attention! 🔍 #AI #MachineLearning #ModelDesign...
Tanya Lenz
2026-07-31 13:16
Red Hat AI introduces Inference-time Scaling (ITS) to enhance model reliability in enterprise settings. By generating multiple output candidates in real-time, ITS helps select the most accurate responses without altering model weights. The open-source framework, its_hub, supports various techniques like best-of-N and self-consistency, making it adaptable for different tasks. This capability addresses reliability issues in AI agents, ensuring better tool selection and decision-making. Learn...
Luke Inglis
2026-07-30 17:10
🚀 DigitalOcean has launched Kimi K3, quickly becoming a top model on the platform! With impressive stats—2.78 trillion parameters and optimized hardware from NVIDIA and AMD—K3 is designed for high performance. The team collaborated extensively to ensure smooth integration and robust verification against benchmarks, leading to enhanced user experience. Explore K3 today on DigitalOcean's Inference Engine! 🌐✨ #KimiK3 #DigitalOcean #AIInnovation #GPU #TechNews
Shree Murthy
2026-07-30 16:00
Unlocking AI Infrastructure Performance! 🚀 NVIDIA's latest insights reveal that two identical AI clusters can show performance gaps of 8% to 12% due to configuration choices. These include settings in the kernel, hypervisor, and NVIDIA NCCL, which can impact training throughput. The article discusses four diagnostic investigations that pinpoint issues in system memory management, power management, and more. Infrastructure engineers can use these patterns to enhance their own clusters before...
Elizabeth Goodman
2026-07-29 03:01
🔍 Exploring the performance of storage live migration in Red Hat OpenShift Virtualization! This article assesses the functionality of migrating virtual machine disk images with minimal downtime. It highlights the evaluation of OpenShift Virtualization version 4.21. Key findings include: - Migration times scale linearly with the number of VMs. - Performance remains stable even under load, although caution is advised during high I/O workloads. For optimal results, schedule migrations during low...
Abhishek Bose
2026-07-28 20:49
🚀 Developing healthcare robotics presents unique challenges that differ from other fields. Firstly, there's a significant data gap. Most teams lack the vast datasets needed for training, particularly for rare cases that impact clinical safety. Secondly, generalization is limited. While imitation learning has its place, reinforcement learning offers a way to explore more scenarios through realistic simulations. Lastly, development velocity is slow, often taking several years due to the...
Michelle Horton
2026-07-28 13:30
Testing the ponytail skill for Claude Code reveals noteworthy insights. In our analysis of 80 paired tasks, it was advertised to reduce code by 54%, but actual results showed a 15% reduction. Cost and time savings were also lower than advertised, yet it still provided a solid cost-saving signal. The skill aims to streamline coding by simplifying tasks, like reducing lengthy code into fewer lines without compromising quality. Learn more about the findings and implications of this tool! #AI...
Denis Shiryaev
2026-07-28 07:01
🚀 Exciting news for OpenShift users! The compliance operator now supports custom metadata propagation on ComplianceCheckResult objects. This enhancement allows businesses to attach specific labels and annotations directly to compliance rules. Previously, compliance results lacked business context, leading to manual enrichment processes. Now, relevant metadata flows automatically with scan results, reducing operational overhead and improving automation. For more details on the new feature,...
Watson Yuuma Sato, Suman Tripuraneni
2026-07-27 14:00
🚀 Dive into the latest in cybersecurity with a hands-on look at hybrid IKEv2 tunneling! This article walks through the setup of a hybrid post-quantum handshake using Docker containers, capturing real packet exchanges. You'll see the impact of ML-KEM fragmentation and how quantum-safe solutions add minimal cost. 🛠️ Ready to explore? Check out the full process and code! #Cybersecurity #PostQuantum #IKEv2 #Docker #VPN
Julio Gomez
2026-07-27 13:00
Cloudflare has released an open-source debugger called "privacy-client" (pvcli) for privacy protocols like Oblivious HTTP (OHTTP) and MASQUE, used by services such as Apple’s iCloud Private Relay. This tool aims to simplify troubleshooting in privacy services, which often face challenges due to fragmented visibility. With pvcli, developers can more efficiently test and debug the complex systems that maintain user privacy. This release supports the broader community in enhancing privacy tools...
Paul Sawers
2026-07-27 09:00
Building effective AI agents extends beyond model selection; it involves the architecture around the model. The design of this harness can significantly influence performance outcomes. 🛠️ NVIDIA Labs has introduced the NOOA framework, an open-source tool that simplifies agent development using a single Python class for easier coordination of capabilities and state management. 🐍 This approach allows for reproducible research and community collaboration. Check out the potential of NOOA in...
Michelle Horton
2026-07-27 00:45
NVIDIA's Nemotron 3 Ultra and the ACE-RTL agent are transforming RTL coding efficiency and accuracy. 🖥️ As chip design faces time constraints, these tools enhance code generation and error correction through iterative testing and feedback. The CVDP benchmark offers a realistic assessment of LLMs in RTL tasks, focusing on complex coding scenarios. 🔄 With agentic workflows, engineers can effectively tackle RTL challenges by reusing and modifying code, interpreting failures, and debugging. 🔍...
Elizabeth Goodman
2026-07-25 13:00
Navigating Kafka consumer testing can be complex. A recent article discusses how routing keys can enhance testing on shared brokers. Testing requires real systems to validate changes, with challenges arising from asynchronous messaging. The proposed solution involves lightweight environments that run alongside stable services. By using routing keys, producers can tag messages, allowing consumers to filter and isolate changes effectively. This approach can help manage contamination risks and...
Arjun Iyer
2026-07-24 03:01
Discover how PyTorch's Inductor compiler enhances performance by grouping operations into efficient Triton kernels. This method significantly reduces memory traffic and kernel overhead. Vertical fusion links dependent operations, optimizing GPU usage and increasing model speed by up to 10x. Explore pointwise fusion, which streamlines multiple operations into a single kernel, improving efficiency. 📈💻🔗 #PyTorch #MachineLearning #GPU #DataScience #AI
Morrison Turnansky
2026-07-24 03:01
As Kubernetes usage grows, platform teams face challenges with telemetry costs and complexity. The common solution, "hard tenancy," leads to duplicated observability stacks, increasing operational overhead and cloud expenses. A more efficient approach uses Kiali's multi-tenancy with OpenTelemetry, allowing centralized telemetry collection while ensuring secure, cost-effective data routing. This method simplifies management and enhances developer experience without exhausting resources. 💻📊...
Michaela Lang
2026-07-23 16:07
🔍 Debugging ray tracing applications can be challenging, especially with the NVIDIA OptiX toolkit. The OptiX ray tracing engine offers tools to diagnose issues like invalid API arguments or GPU-side bugs. The NVIDIA OptiX Toolkit (OTK) is a GitHub resource that helps developers streamline their debugging process. Key features include consistent checking of OptiX and CUDA API error codes and targeted device-side debug printing. OTK also provides an example program, DemandPbrtScene, to...
Tanya Lenz
2026-07-23 16:00
Personalization is key for user engagement, as it meets expectations for tailored experiences. 🌟 Users want relevant content—like a shopper seeing floral prints or a candidate viewing remote job postings. The challenge lies not in quality but in the architecture of personalization systems. Effective personalization requires understanding user intent, item quality, history, availability, and business priorities simultaneously. However, many systems struggle to integrate these signals in real-...
Jenny Morris
2026-07-23 13:00
Navigating the complexities of retrieval-augmented generation (RAG) applications can be challenging. Many tutorials suggest quick setups, but these often fail in production due to architectural issues. A common problem is synchronous data ingestion, leading to timeouts and cascade failures when processing large documents. 📄❌ The article suggests using a batched fan-out pipeline for better efficiency. This asynchronous method helps manage data ingestion more effectively, avoiding overwhelming...
Emmanuel Akita
2026-07-23 07:01
Organizations are facing memory limitations as they deploy advanced AI and analytics workloads. Traditional methods of increasing memory often lead to higher costs and complexity. Kove:SDM offers a solution by disaggregating memory from compute resources in OpenShift, allowing idle memory to be pooled and dynamically allocated without changing application code. Recent tests with the WASP Electronic Warfare pipeline validated this architecture, showing stable performance even under heavy...
Chris Janiszewski, Ata Mufti
2026-07-23 07:01
Discover the importance of layered sandboxing for AI agents! 🛡️ The article discusses how using both NVIDIA OpenShell and Red Hat OpenShift sandboxed containers enhances security. While OpenShell prevents data exfiltration, it can't stop kernel exploits. Conversely, OpenShift isolates kernel exploits but lacks network traffic filtering. Testing revealed that combining the two provides comprehensive protection against a wider range of threats. Explore how this dual approach can strengthen your...
Eitan Geiger
2026-07-22 16:35
Developers using NVIDIA TensorRT may face challenges during engine builds, which can take from seconds to several minutes. Long builds, especially with large models and new GPU SKUs, can leave users unsure of the process status. Current integrations often do not report progress or allow for cancellation, leading to wasted GPU resources. Improving observability and cancelability in TensorRT builds could enhance workflow efficiency. 🖥️⏳ #NVIDIA #TensorRT #AI #MachineLearning #GPU
Michelle Horton
2026-07-22 13:00
🚀 Exciting advancements in ray tracing! A recent study by Gruen et al. addresses the challenges of animating complex geometry in real-time graphics. By using tetrahedral cages, it effectively decouples animation costs from triangle counts. This method allows for massive scenes with hundreds of millions of animated triangles to be rendered efficiently, significantly cutting down memory usage and update costs. 🌳✨ The paper showcases performance with 585 million animated triangles at 60 FPS on...