Articles by Category: Technical_deep_dives

Unlock Exascale Performance on NVIDIA GB200 NVL72 with Slurm Topology-Aware Job Scheduling

2026-05-21 17:32
Unlocking the potential of NVIDIA GB200 NVL72 requires effective workload placement. This article discusses how Slurm topology-aware job scheduling enhances performance by aligning jobs with the system’s network architecture. The GB200 NVL72 supports exascale computing with 72 interconnected GPUs, offering 130 TB/s bandwidth for AI and HPC tasks. By maximizing the use of NVLink, AI training jobs can significantly improve performance. For optimal results in shared clusters, schedulers must...
Sachin Lakharia

Making User-Sequence Data More Cost-Efficient, Faster, and Easier to Use

2026-05-21 16:01
🌟 Exciting updates in user-sequence data management! The recent article highlights a redesign of the user-sequence platform aimed at enhancing cost-efficiency, speed, and ease of use. User sequences, which track recent actions and enrichments, are crucial for ML models in ranking, retrieval, and recommendation systems. Key improvements include a shared execution engine, configuration-as-code, and a lambda architecture to balance freshness and completeness. This redesign supports multiple...
Pinterest Engineering

Building Token‑Metered AI Services on Telco AI Factories

2026-05-21 15:30
Telcos are developing sovereign AI factories using NVIDIA's Cloud Partner architecture. This initiative aims to provide governments and businesses with reliable in-country AI infrastructure. However, simply having infrastructure isn't enough for scalable AI services. The focus is shifting towards token-based billing for AI services, ensuring enterprises receive production-ready applications without the complexities of managing infrastructure. This approach allows enterprises to benefit from...
Waleed Badr

CI wasn’t built for coding agents. Here’s what comes next.

2026-05-21 14:30
Integration tests have been a staple in CI pipelines, but as developers use coding agents for rapid iterations, traditional methods are struggling to keep up. 🚀 The article discusses a shift towards "plans," which are smaller, agent-pickable checks that run in real environments, enhancing the testing process. It highlights the need for faster validation methods and proposes integrating agents directly into CI to streamline workflows. This approach aims to collapse the feedback loops, making...
Monica White

Encrypting large artifacts and streaming workloads with Vault

2026-05-20 17:00
🔒 HashiCorp Vault's Transit secrets engine offers encryption-as-a-service, allowing secure data handling without managing keys directly. For larger artifacts and streaming workloads, traditional methods may cause performance issues. The new SDK introduces envelope encryption, enabling local encryption while Vault manages keys and access policies. This method simplifies key management, allowing operators to efficiently handle data without the overhead of transferring large payloads. #HashiCorp...
Mohan Madhvapathy Rao

Add a Specialized Deep Research Skill to Agent Harnesses

2026-05-20 16:00
Enhance your agent harness capabilities with specialized deep research skills! 🛠️ Agent harnesses like Claude Code, Codex, and LangChain Deep Agents excel at managing sessions and executing tasks, but deep research can complicate workflows. 🌐 NVIDIA introduces the AI-Q skill, allowing agents to delegate research tasks to a local AI-Q server. This keeps sensitive data secure while producing structured, well-cited reports. 📊 Explore how this skill streamlines workflows without needing to...
William Markito Oliveira

What GPU kernels mean for your distributed inference

2026-05-20 07:16
Hugging Face has elevated GPU kernels as a first-class repository type, enabling a versioned, multi-vendor distribution channel for pre-compiled compute kernels. This change doesn't impact existing inference runtimes but offers a new tool for developers. The article clarifies the distinction between OS kernels and GPU compute kernels, and discusses their roles in distributed AI inference. For teams in production, understanding these differences is crucial to maintain agility and compliance....
Fatih E. Nar, Steven Royer

Optimizing Our Build Times by Migrating from Webpack to Rspack

2026-05-20 00:00
🚀 We recently migrated our monorepo from Webpack to Rspack to tackle build time challenges at Yelp. With Rspack’s Webpack compatibility, we achieved about a 50% reduction in build time. The migration process was streamlined thanks to a staged rollout approach, allowing teams to verify updates easily. This transition highlights the potential of newer tools in enhancing development efficiency. #WebDevelopment #Rspack #BuildOptimization #YelpTech #JavaScript
Benson Pan, Software Engineer

The architectural reason 1Password can't read your vault data

2026-05-20 00:00
🔒 Can 1Password see your vault contents? The answer is no, and it's due to the way the product is architected. Your data is encrypted on your device before it leaves, using keys that only you hold. 1Password cannot decrypt your vault contents because it never has access to these keys. This zero-knowledge architecture ensures your privacy, even if servers are compromised. However, be aware that losing your account password or Secret Key means recovery isn't possible. Learn more about how your...
info@1password.com (Rick Fillion; Wayne Duso; K.J. Valencik; Daryl Martin)

Get Real-Time Visibility into GPU Usage Across Kubernetes Clusters

2026-05-19 18:00
🚀 Real-time visibility into GPU usage is crucial for maximizing AI infrastructure. Many teams face challenges due to limited insights into GPU consumption on Kubernetes. The new GPU Usage Monitor, built on NVIDIA's DCGM Exporter, provides comprehensive tracking of GPU allocation, memory use, and pod status. It simplifies monitoring with a single Helm chart deployment. This tool addresses common issues like over-provisioning and pod starvation, enabling better resource utilization and timely...
Guy Saltoun

Scaling Airbnb’s identity graph with a unified knowledge graph infrastructure

2026-05-19 17:01
🚀 Airbnb is evolving its approach to data management by transitioning to an internal knowledge graph infrastructure. This shift aims to enhance user identity resolution and support Trust and Safety initiatives. 📈 The identity graph has grown significantly, now encompassing 7 billion nodes and 11 billion edges. To address scalability and query complexity challenges, Airbnb has implemented a high-performance, internally managed graph platform. 🔍 Key optimizations during this transition include...
Lucen Zhao

Why production RAG systems give confident, wrong answers at scale

2026-05-19 14:00
In production RAG systems, the main challenge isn't the language model; it's retrieval. As data grows, retrieving relevant documents becomes more complex. With millions of documents, the right context often gets lost, leading to confident but incorrect answers. This issue arises from retrieval architectures that struggle under production scale, not from the model itself. The failure lies in recall, not intelligence. Teams need to address retrieval systems as they scale to ensure accurate...
Monica White

EvalHub: Because "looks good to me" isn't a benchmark

2026-05-19 07:01
🚀 Just launched an AI customer support assistant, but issues arose once it went live. Users reported incorrect responses and outdated policies. 🔍 The root cause? Inadequate evaluation methods. Teams often rely on superficial reviews and miss key performance metrics. EvalHub aims to address these challenges by providing a unified platform for systematic AI evaluation, ensuring better deployment outcomes. Learn more about how EvalHub can enhance AI assessments. #AI #EvalHub #MachineLearning...
William Caban Babilonia, Rui Vieira

How Deutsche Börse built a generative AI tool to tackle the large-scale migration of Zeppelin notebooks to Databricks

2026-05-19 03:30
Deutsche Börse Group's StatistiX team has developed a generative AI tool to manage the migration of over 2,000 Zeppelin notebooks to Databricks. Facing a tight deadline in 2027, the team created an app that automates structural conversion and generates AI-assisted prompts to reconstruct notebook logic. This innovation reduces redevelopment time from hours to just 15-20 minutes. ⏱️💻 #DeutscheBörse #AI #Databricks #TechInnovation #NotebookMigration

Lessons learned building DoorDash’s clusterless ML feature store

2026-05-18 16:15
🚀 DoorDash is navigating the challenges of AI and machine learning with their new clusterless ML feature store. This feature store is essential for managing vast amounts of data, crucial for delivering a seamless experience to over a billion users. It supports high-demand services like the Sibyl Prediction Service, processing around 900,000 evaluations per second. The team is learning valuable lessons about scalability, transitioning from Redis to a hybrid database model to enhance...
Luigi Tagliamonte

Fine-Tuning NVIDIA Cosmos Predict 2.5 with LoRA/DoRA for Robot Video Generation

2026-05-18 16:00
NVIDIA has introduced advancements in video generation for robots by fine-tuning Cosmos Predict 2.5 using LoRA and DoRA techniques. These enhancements aim to improve the quality and efficiency of video outputs, making robotic applications more effective. This development highlights the growing intersection of AI and robotics. 🤖🎥 #NVIDIA #Robotics #AI #VideoGeneration #TechInnovation

How we improved image download sizes on Medium with just four characters

2026-05-18 15:29
📉 Medium has reduced image download sizes by 7% using a simple code update. By adding just four characters to the codebase, developers can enhance asset download efficiency. This improvement utilizes the new "auto" feature for lazy-loaded images, allowing browsers to optimize image loading based on user context. For web developers seeking seamless optimization, this small change can lead to significant gains. #WebDevelopment #ImageOptimization #CodingTips #Medium #TechInnovation
Scott Batson

Kubernetes v1.36: New Metric for Route Sync in the Cloud Controller Manager

2026-05-15 18:35
Kubernetes v1.36 has introduced a new alpha counter metric, `route_controller_route_sync_total`, to the Cloud Controller Manager. This metric tracks route syncs with the cloud provider. The addition supports the CloudControllerManagerWatchBasedRoutesReconciliation feature, which optimizes route reconciliation by responding only to actual node changes. This reduces unnecessary API calls and helps manage API quotas more effectively. For A/B testing, compare sync rates with the feature gate...

Backstage with Lakebase, part 2

2026-05-15 12:47
🚀 In part 2 of the "Backstage with Lakebase" series, the focus is on integrating the operational database into Unity Catalog. Lakebase enables teams to operate a production app like Backstage on a serverless Postgres setup within Databricks. Key features include rapid database branching in just one second and point-in-time recovery in under four seconds. Explore the future of database management! 💻🔧 #Databricks #Lakebase #UnityCatalog #DatabaseManagement #TechInnovation

Scaling Developer Experience: How We Improved Android Studio in a Large Monorepo

2026-05-15 00:23
🚀 At Grab, we've tackled slow IDE sync times in our large Android monorepo, which contains around 2,000 modules and 11 million lines of code. 🛠️ Developers reported syncs taking over 35 minutes, negatively impacting productivity. To address this, we built a custom Focus plugin that allows syncing only the relevant modules, significantly reducing sync time to under 2 minutes! 📊 A developer survey highlighted that 76% felt long sync times hindered their work, prompting us to find an efficient...
Source: Grab Tech

How the NVIDIA Vera Rubin Platform is Solving Agentic AI’s Scale-Up Problem

2026-05-14 19:24
NVIDIA's Vera Rubin Platform addresses the challenges of agentic AI's scale-up problem. Agentic inference introduces non-deterministic trajectories, affecting latency across inference requests. The Vera Rubin NVL72 serves as a core compute engine, optimizing for low-latency and high-throughput demands. This platform is the first to economically handle complex multi-agent workloads with high model capability. It combines extreme co-design for enhanced performance in AI services. Discover how...
Graham Steele

Granite Embedding Multilingual R2: Open Apache 2.0 Multilingual Embeddings with 32K Context — Best Sub-100M Retrieval Quality

2026-05-14 18:55
Introducing Granite Embedding Multilingual R2, a new open-source project under Apache 2.0. This initiative focuses on multilingual embeddings with an impressive 32K context. Research highlights that it offers the best retrieval quality for datasets under 100 million. This development aims to enhance multilingual processing in various applications. Stay tuned for further updates on advancements in multilingual technology! 🌐📊 #Multilingual #OpenSource #Apache2 #DataScience #TechInnovation

Creating a Multi-Tenant AI Agent Platform Handling 7K+ Sessions Without Cross-Team Interference

2026-05-14 17:49
🚀 Exciting advancements in AI at Salesforce! In the latest Engineering Energizers Q&A, we learn about Priyanka Saraf's work on the Bring Your Own Planner (BYOP) platform. This multi-tenant AI agent platform supports over 7,000 active sessions and allows teams to create custom reasoning engines without interference. BYOP eliminates the limitations of a monolithic planner, enhancing team autonomy and development speed. Each team can scale independently, manage their code, and deploy without...
Scott Nyberg

LLM-as-a-Judge: Evaluating natural language search

2026-05-14 16:32
🚀 DoorDash explores the evolution of food delivery search with its new natural language search (NLS) system. Traditional keyword matching works when users know what they want, but many search intents are more complex. NLS understands these nuanced requests, translating them into structured queries for better results. To evaluate NLS effectiveness, DoorDash shifted from manual annotations to a calibrated LLM judge, improving evaluation speed and accuracy. This change aims to ensure that...
Xiaochang Miao

From latency to instant: Modernizing GitHub Issues navigation performance

2026-05-14 16:00
🚀 GitHub Issues has modernized its navigation performance to enhance user experience. The team implemented client-side caching, smart prefetching, and service workers to reduce latency. This approach allows instant rendering from local data, improving flow for developers managing issues. Key metrics were established to measure performance, focusing on what matters most to users. The goal is to ensure that navigation feels seamless and efficient. Learn more about these developments and their...
Natalie Guevara

Our billing pipeline was suddenly slow. The culprit was a hidden bottleneck in ClickHouse

2026-05-14 13:00
🌐 At Cloudflare, we encountered a challenge with our ClickHouse cluster after a partitioning change. Although standard metrics showed no errors, critical billing jobs stalled. 🔍 Investigation revealed severe lock contention in ClickHouse's query planner. This issue was previously unnoticed, prompting us to develop upstream patches to address the bottleneck. 📊 Our ClickHouse setup handles over 100 petabytes of data, and we aim to improve retention policies for various teams. A new partitioning...
Christian Endres

Optimisation Tools for Jira: Reducing Configuration Bloat and Enhancing Performance

2026-05-14 01:31
Jira Cloud continues to evolve, supporting larger clients with complex configurations. However, this growth can lead to configuration sprawl, causing slower performance and increased admin workload. To address this, new optimisation tools have been introduced. These tools help admins understand entity usage, identify redundant configurations, and perform bulk cleanup actions safely. Key features include limits on fields, work types, and other entities to enhance performance and user...
Jovana Dunisijevic

Accelerating on-device AI: A look at Arm and Google AI Edge optimization

2026-05-14 00:00
🚀 Exciting advancements in on-device AI have emerged with the integration of Arm Scalable Matrix Extension 2 (SME2) and Google AI Edge software. This combination allows CPUs to act as powerful matrix-compute accelerators, enhancing audio generation performance. The use of Stability AI’s model shows over 2x speedup and 4x memory reduction, all while maintaining high quality. Discover how LiteRT, XNNPACK, and KleidiAI streamline the development process for AI applications. #AI #MachineLearning...

Counting to 3 with a new builder processing 50M+ monthly builds

2026-05-14 00:00
🚀 Railway has transformed its build process by replacing the older Docker-buildx GCP autoscaler with microVM build cells running BuildKit. This change allows for improved efficiency, with 66,000 builds per hour at peak. The new system operates on a fleet of bare-metal hosts, enhancing performance and reducing issues like egress costs and noisy neighbors. Learn more about this significant upgrade and its impact on build management. #TechUpdate #SoftwareDevelopment #BuildKit #Railway...
Source: Railway Blog

Egress problems and where to find them

2026-05-14 00:00
Optimizing database queries can significantly improve application performance while reducing costs. 💻💰 Egress refers to the data transferred out from your database, which often incurs costs with cloud providers. To minimize egress, focus on fetching only necessary data and reducing the frequency of requests. 📊 Common issues include retrieving too much data or making unbounded queries. Instead, limit your queries to specific columns and apply pagination for better efficiency. 📉 For more...
Simeon Griggs

Unlocking asynchronicity in continuous batching

2026-05-14 00:00
Unlocking asynchronicity in continuous batching can lead to significant performance gains for inference. This article discusses how to separate CPU and GPU workloads to optimize GPU utilization. Continuous batching has improved GPU efficiency, but it remains synchronous, causing idle time. By implementing asynchronous batching, CPU preparation and GPU computation can operate simultaneously, reducing wasted time and enhancing performance. 📈💻🚀 #AsynchronousBatching #GPUUtilization...

The Rosetta stone of CPS: Claroty’s AI-powered library

2026-05-13 19:00
Discover how Claroty's innovative AI-powered library addresses the identity crisis in Cyber-Physical Systems (CPS). This multi-agent AI system utilizes Databricks to enhance security and streamline operations, showcasing significant advancements in the field. Learn more about this transformative approach to CPS! 🛠️🔍 #CyberSecurity #AI #CPS #Innovation #TechTrends

Your Model Doesn't Matter. Your Infrastructure Does.

2026-05-13 16:45
Unlocking the potential of AI starts with the right infrastructure. 🌐 DigitalOcean emphasizes that while everyone has access to similar models, success lies in the surrounding infrastructure—routing logic, data pipelines, and scalable solutions without code rewrites. Their recent session showcased how teams can move seamlessly through serverless, dedicated, and routed setups, maximizing efficiency and reducing costs. 💡 Explore the full capabilities of DigitalOcean's AI platform! #AI...
Amit Jotwani

Accelerated X-Ray Analysis for Nanoscale Imaging (XANI) of Novel Materials

2026-05-13 16:39
🚀 New advancements in X-ray technology are revolutionizing materials science! The X-ray free-electron laser (XFEL) tracks structural and electron dynamics in materials like semiconductors and catalysts. With ultrashort X-ray pulses, it captures atomic movements and identifies defects. The Accelerated X-ray Analysis for Nanoscale Imaging (XANI) workflow has significantly reduced data processing time from nine months to under four hours, utilizing NVIDIA's powerful computing technology. These...
Irina Demeshko

Build a zero trust AI pipeline with OpenShift and RHEL CVMs

2026-05-13 13:05
In the healthcare sector, balancing AI development speed with stringent security compliance is crucial. 🏥✨ Red Hat OpenShift and RHEL's confidential virtual machines (CVMs) enable organizations to deploy AI models while adhering to zero trust policies, safeguarding protected health information (PHI). This article details how developers and security administrators can automate the deployment of sensitive workloads across cloud environments without compromising data security. 🔒☁️ Learn more...
Emanuele Giuseppe Esposito

Reel Friends: Building Social Discovery that Scales to Billions

2026-05-13 13:00
🚀 The new Friend Bubbles feature in Facebook Reels showcases the Reels your friends have watched and engaged with. 🎙️ In the latest episode of the Meta Tech Podcast, engineers Subasree and Joseph discuss the complex engineering behind this seemingly simple feature. They share insights on the machine learning model and user behavior differences between iOS and Android. 🔗 Discover how small features can require significant effort. Listen now on Spotify, Apple Podcasts, or wherever you get your...

Why agent harnesses fail inside cloud-native systems

2026-05-13 13:00
In cloud-native systems, coding agents require effective harnesses for optimal performance. These harnesses include tools, prompts, and feedback loops, which guide agents in their tasks. However, providing feedback in distributed environments is complex. Feedback signals are crucial for agents to self-correct and ensure their actions are effective. Research shows that without strong feedback, an agent’s components become mere suggestions. Clear feedback is essential for successful code...
Monica White

The Road to Name-Based Destructuring

2026-05-13 08:52
Kotlin is introducing new syntax for destructuring, focusing on name-based extraction. The "val inside parentheses" syntax will allow named properties to be accessed directly, while square brackets will aid in positional destructuring. Both features are currently experimental and will evolve into stable releases. 🛠️ A migration strategy is in place, and tools for switching to the new behavior are available. This change aims to enhance code clarity and reduce errors during refactoring. #Kotlin...
Viliam Sedliak

Catching invisible errors: How I built a duplicate detection agent for Kenya's HIV program

2026-05-13 00:00
A new duplicate detection system is transforming Kenya's HIV program! 🌍💉 The solution, built with Elastic Agent Builder, tackles the 56% failure rate of manual duplicate detection in patient records. By using tiered risk scoring, it enhances accuracy and saves $195K annually. This innovation aims to improve data reliability for better healthcare decisions. #HealthTech #HIVAwareness #DataIntegrity #Kenya #HealthcareInnovation
Source: Elastic Blog
Fredrick Kioko

Kubernetes v1.36: PSI Metrics for Kubernetes Graduates to GA

2026-05-12 18:35
🚀 Kubernetes v1.36 has introduced Pressure Stall Information (PSI) metrics, which offer crucial insights into resource saturation before outages occur. Unlike traditional metrics, PSI highlights stalled tasks and time lost across CPU, memory, and I/O. 📊 Performance tests confirm that the Kubelet's overhead is minimal, ensuring safe production use even under high-density workloads. 🔍 To utilize PSI metrics, ensure your nodes are running a compatible Linux kernel and cgroup v2. For more...