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    <title>InfoQ</title>
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    <description>InfoQ feed</description>
    <item>
      <title>Agoda Replaces 72-Shard SQL Server Price Cache with DragonflyDB</title>
      <link>https://www.infoq.com/news/2026/09/agoda-price-cache-dragonflydb/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/agoda-price-cache-dragonflydb/en/headerimage/generatedHeaderImage-1787939534250.jpg"/&gt;&lt;p&gt;Agoda migrated its 1.5 TB hotel Price Cache from 72 SQL Server shards to DragonflyDB to handle growing read and write volumes. The migration used staged dual reads, parity validation, gradual traffic shifting, and decentralized failover detection. Agoda reports an approximately eightfold reduction in P99 read latency, with two DragonflyDB clusters providing high availability.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Prometheus</category>
      <category>Caching</category>
      <category>SQL Server</category>
      <category>Microservices</category>
      <category>Distributed Systems</category>
      <category>Redis</category>
      <category>A/B Testing</category>
      <category>Distributed Cache</category>
      <category>Distributed Data</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 14 Sep 2026 13:48:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/agoda-price-cache-dragonflydb/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-09-14T13:48:00Z</dc:date>
      <dc:identifier>/news/2026/09/agoda-price-cache-dragonflydb/en</dc:identifier>
    </item>
    <item>
      <title>Article: Implementing Durable Workflows on Postgres Without an External Orchestrator</title>
      <link>https://www.infoq.com/articles/durable-workflows-postgres/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/articles/durable-workflows-postgres/en/headerimage/Implementing-Durable-Workflows-on-Postgres-Without-an-External-Orchestrator-header-1789129413946.jpg"/&gt;&lt;p&gt;Postgres can serve as the durable state store and coordination layer for workflows, eliminating the need for an external orchestrator. SKIP LOCKED enables concurrent work processing, primary-key checkpoints enforce idempotency, and leases support crash recovery. Workflow sleeps and human approvals can also be persisted as database state and survive restarts.&lt;/p&gt; &lt;i&gt;By Raman Varma&lt;/i&gt;</description>
      <category>Postgres</category>
      <category>Relational Databases</category>
      <category>Queue</category>
      <category>Automation</category>
      <category>Orchestration</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>article</category>
      <pubDate>Mon, 14 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/durable-workflows-postgres/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Raman Varma</dc:creator>
      <dc:date>2026-09-14T11:00:00Z</dc:date>
      <dc:identifier>/articles/durable-workflows-postgres/en</dc:identifier>
    </item>
    <item>
      <title>Podcast: How Will We Train Developers If AI Does the Routine Work: A Conversation with Scott Hanselman</title>
      <link>https://www.infoq.com/podcasts/train-developers-ai-routine-work/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/podcasts/train-developers-ai-routine-work/en/smallimage/infoq-podcast-500-1788249079494.jpg"/&gt;&lt;p&gt;In this podcast, Michael Stiefel spoke to Scott Hanselman about developing new software engineers when artificial intelligence agents are doing most of the work on which junior developers were trained. Hanselman suggests the software industry should adopt a preceptorship model similar to the nursing profession.&lt;/p&gt; &lt;i&gt;By Scott Hanselman&lt;/i&gt;</description>
      <category>The InfoQ Podcast</category>
      <category>Software Engineering</category>
      <category>AI Architecture</category>
      <category>Artificial Intelligence</category>
      <category>Architecture</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>podcast</category>
      <pubDate>Mon, 14 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/podcasts/train-developers-ai-routine-work/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Scott Hanselman</dc:creator>
      <dc:date>2026-09-14T11:00:00Z</dc:date>
      <dc:identifier>/podcasts/train-developers-ai-routine-work/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Decision Models in Agentic Architectures: From Production to Agent Skills</title>
      <link>https://www.infoq.com/presentations/decision-models-agentic-ai/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/presentations/decision-models-agentic-ai/en/mediumimage/alex-porcelli-medium-1789021621084.jpeg"/&gt;&lt;p&gt;Alex Porcelli discusses the critical gap in enterprise AI: non-deterministic output and lack of accountability in high-stakes decisions. He shares how integrating DMN decision models with LLMs, agent skills, and NeMo guardrails creates auditable, deterministic agentic architectures - allowing business leaders to own decision logic while engineers maintain robust architectural governance.&lt;/p&gt; &lt;i&gt;By Alex Porcelli&lt;/i&gt;</description>
      <category>Agentic AI Architecture</category>
      <category>Large language models</category>
      <category>QCon AI Boston 2026</category>
      <category>Transcripts</category>
      <category>Architecture</category>
      <category>Agents</category>
      <category>Governance</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Mon, 14 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/decision-models-agentic-ai/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Alex Porcelli</dc:creator>
      <dc:date>2026-09-14T11:00:00Z</dc:date>
      <dc:identifier>/presentations/decision-models-agentic-ai/en</dc:identifier>
    </item>
    <item>
      <title>Independent Investigation of Hugging Face Incident Reveals How Agents Collaborated and Behaved</title>
      <link>https://www.infoq.com/news/2026/09/metr-hugging-face-hack-report/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/metr-hugging-face-hack-report/en/headerimage/hugging-chat-open-source-1789376267412.jpeg"/&gt;&lt;p&gt;After six days of on-site investigation at OpenAI, a small team of METR and Redwood Research researchers provided an account of how OpenAI agents behaved during their hack of Hugging Face earlier this year. Roughly 700 agents that were meant to be isolated from one another found a way to communicate and coordinate to pursue goals they could have not achieved working individually.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Security Vulnerabilities</category>
      <category>Large language models</category>
      <category>OpenAI</category>
      <category>Hugging Face</category>
      <category>Agents</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Mon, 14 Sep 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/metr-hugging-face-hack-report/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2026-09-14T09:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/metr-hugging-face-hack-report/en</dc:identifier>
    </item>
    <item>
      <title>Jotai 3.0 Ships as a Modernized, ESM-Only Package That Drops Legacy Builds and Deprecated APIs</title>
      <link>https://www.infoq.com/news/2026/09/jotai-3-released/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/jotai-3-released/en/headerimage/generatedHeaderImage-1789141759444.jpg"/&gt;&lt;p&gt;Jotai, an atomic state management library for React, has released version 3.0.0, now exclusively using ES modules. It maintains backward compatibility but removes some deprecated APIs. Migration is straightforward for most users. This version emphasizes a leaner core with improvements while deferring significant feature changes for future updates.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>Web Development</category>
      <category>React</category>
      <category>JavaScript</category>
      <category>CommonJS</category>
      <category>TypeScript</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 14 Sep 2026 06:46:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/jotai-3-released/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Daniel Curtis</dc:creator>
      <dc:date>2026-09-14T06:46:00Z</dc:date>
      <dc:identifier>/news/2026/09/jotai-3-released/en</dc:identifier>
    </item>
    <item>
      <title>ESP32 Bit Pirate: Bridging Modern Microcontrollers and Browser-Based Hardware Debugging</title>
      <link>https://www.infoq.com/news/2026/09/esp32-bitpirate-web/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/esp32-bitpirate-web/en/headerimage/headerBitPirate-1789365396754.jpg"/&gt;&lt;p&gt;ESP32 Bit Pirate project integrates multi-protocol debugging within a browser environment using HTML5 APIs. It enables users to install firmware and interact with microcontrollers like the ESP32-S3 directly from the browser. The platform supports various digital and wireless protocols while providing hands-on guidance through practical recipes for tasks such as memory dumping and signal analysis.&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>Embedded Devices</category>
      <category>Embedded Software Dev</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 14 Sep 2026 06:06:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/esp32-bitpirate-web/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Olimpiu Pop</dc:creator>
      <dc:date>2026-09-14T06:06:00Z</dc:date>
      <dc:identifier>/news/2026/09/esp32-bitpirate-web/en</dc:identifier>
    </item>
    <item>
      <title>Meta Open-Sources Astryx, its Agent-Ready React Design System</title>
      <link>https://www.infoq.com/news/2026/09/meta-astryx-design-system/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/meta-astryx-design-system/en/headerimage/generatedHeaderImage-1789341796965.jpg"/&gt;&lt;p&gt;Meta recently announced the beta release of Astryx, an open-source React design system developed internally over eight years. Astryx builds on React 19 and StyleX to provide over 150 accessible UI components, customizable CSS design tokens, and dedicated CLI and MCP tooling — for both engineers and AI agents.&lt;/p&gt; &lt;i&gt;By Bruno Couriol&lt;/i&gt;</description>
      <category>Web Development</category>
      <category>React</category>
      <category>JavaScript</category>
      <category>TypeScript</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sun, 13 Sep 2026 23:39:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/meta-astryx-design-system/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Bruno Couriol</dc:creator>
      <dc:date>2026-09-13T23:39:00Z</dc:date>
      <dc:identifier>/news/2026/09/meta-astryx-design-system/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare Tests Cache Transcoding to Reduce Storage Requirements</title>
      <link>https://www.infoq.com/news/2026/09/cloudflare-cache-transcoding/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/cloudflare-cache-transcoding/en/headerimage/generatedHeaderImage-1788763139924.jpg"/&gt;&lt;p&gt;Cloudflare recently described a prototype called Cache Transcoding that compresses eligible cache content, mainly uncompressed text such as HTML, JSON, CSS, and JavaScript, using Zstandard before storing it on disk. The hyperscaler estimates that the approach could provide petabytes of additional effective cache capacity, although broader testing is still needed.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>Compression</category>
      <category>Cloud</category>
      <category>Cloudflare</category>
      <category>Caching</category>
      <category>Edge Computing</category>
      <category>CDN</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Sun, 13 Sep 2026 10:35:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/cloudflare-cache-transcoding/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Renato Losio</dc:creator>
      <dc:date>2026-09-13T10:35:00Z</dc:date>
      <dc:identifier>/news/2026/09/cloudflare-cache-transcoding/en</dc:identifier>
    </item>
    <item>
      <title>GitHub Copilot's Project HydraFusion Promises Frontier Level Performance through Multi-Model Routing</title>
      <link>https://www.infoq.com/news/2026/09/github-hydrafusion/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/github-hydrafusion/en/headerimage/headerHydra-1789276523352.jpg"/&gt;&lt;p&gt;GitHub's Project HydraFusion is a research preview for GitHub Copilot that enhances coding intelligence through runtime model orchestration. It dynamically assembles execution plans using models from various providers. The system employs three execution patterns based on task complexity. Evaluations indicate that it achieves high task quality while significantly reducing operational costs.&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>Model Routing</category>
      <category>Frontier Model</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Sun, 13 Sep 2026 06:06:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/github-hydrafusion/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Olimpiu Pop</dc:creator>
      <dc:date>2026-09-13T06:06:00Z</dc:date>
      <dc:identifier>/news/2026/09/github-hydrafusion/en</dc:identifier>
    </item>
    <item>
      <title>Open-Source Project Brings Full iOS 27 Virtualization to Apple Silicon</title>
      <link>https://www.infoq.com/news/2026/09/ios-27-virtualization/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/ios-27-virtualization/en/headerimage/ios-27-virtualization-1789227137098.jpeg"/&gt;&lt;p&gt;The open-Source project vphone-cli enables a full iOS 27 system to run as a virtual machine on Apple Silicon. Built on Apple's own Virtualization.framework rather than traditional emulation, the project opens up new possibilities for security research, reverse engineering, and automated iOS testing.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Mobile Testing</category>
      <category>iOS</category>
      <category>Virtualization</category>
      <category>Apple</category>
      <category>Mobile</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sat, 12 Sep 2026 16:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/ios-27-virtualization/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2026-09-12T16:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/ios-27-virtualization/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: From Retrieval to Reasoning: Building Production-Ready Agentic AI Systems with Knowledge Graphs</title>
      <link>https://www.infoq.com/presentations/knowledge-graphs-agentic-systems-patterns/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/presentations/knowledge-graphs-agentic-systems-patterns/en/mediumimage/cassie-shum-medium-1788338916792.jpeg"/&gt;&lt;p&gt;Cassie Shum discusses why knowledge graphs serve as a critical foundation for agentic systems. Moving beyond basic RAG, she explains 4 practical architectural patterns: context bundling, decision provenance, code as truth, and agent visibility. She demonstrates an engineering harness built on a knowledge graph to streamline feedback loops, optimize token usage, and maintain system reliability.&lt;/p&gt; &lt;i&gt;By Cassie Shum&lt;/i&gt;</description>
      <category>Agentic AI Architecture</category>
      <category>Large language models</category>
      <category>QCon AI Boston 2026</category>
      <category>Retrieval-Augmented Generation</category>
      <category>Transcripts</category>
      <category>Agents</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Sat, 12 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/knowledge-graphs-agentic-systems-patterns/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Cassie Shum</dc:creator>
      <dc:date>2026-09-12T11:00:00Z</dc:date>
      <dc:identifier>/presentations/knowledge-graphs-agentic-systems-patterns/en</dc:identifier>
    </item>
    <item>
      <title>Lambda SnapStart Comes to Container Images, Ending a Packaging Tradeoff</title>
      <link>https://www.infoq.com/news/2026/09/lambda-snapstart-container-image/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/lambda-snapstart-container-image/en/headerimage/generatedHeaderImage-1789052932475.jpg"/&gt;&lt;p&gt;AWS has extended Lambda SnapStart to container image functions, which hold up to 10 GB against 250 MB for zip archives. Teams previously chose between dependency headroom and sub-second startup. A Reddit thread from a month earlier shows what that cost: stripping whitespace and docstrings from installed packages to stay under the limit.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Cloud</category>
      <category>AWS Lambda</category>
      <category>Serverless</category>
      <category>Containers</category>
      <category>Architecture</category>
      <category>AWS</category>
      <category>Performance</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Sat, 12 Sep 2026 10:09:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/lambda-snapstart-container-image/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-09-12T10:09:00Z</dc:date>
      <dc:identifier>/news/2026/09/lambda-snapstart-container-image/en</dc:identifier>
    </item>
    <item>
      <title>One Decade of Rustls: Evolution, Benchmarks, and Future Roadmap</title>
      <link>https://www.infoq.com/news/2026/09/rustls-one-decade/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/rustls-one-decade/en/headerimage/generatedHeaderImage-1789195676316.jpg"/&gt;&lt;p&gt;Rustls,  a  Rust TLS library, marks its decade-long progression from a grassroots project to a funded open-source initiative. Key contributions from organisations boosted development, resulting in features like post-quantum cryptography and robust performance. The upcoming 0.24 release aims to enhance architecture and flexibility, including new input buffering and improved session handling.&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>Rust</category>
      <category>Memory Safety</category>
      <category>Memory Leaks</category>
      <category>Security</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sat, 12 Sep 2026 07:07:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/rustls-one-decade/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Olimpiu Pop</dc:creator>
      <dc:date>2026-09-12T07:07:00Z</dc:date>
      <dc:identifier>/news/2026/09/rustls-one-decade/en</dc:identifier>
    </item>
    <item>
      <title>NVIDIA Personal AI Router Distributes AI Tasks across Local Compute</title>
      <link>https://www.infoq.com/news/2026/09/nvidia-pair-ai-task-router/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/nvidia-pair-ai-task-router/en/headerimage/nvidia-ingest-1789135586036.jpeg"/&gt;&lt;p&gt;NVIDIA Personal AI Router (PAIR), now available in beta, lets you combine the inference capacity of multiple computers on your local network and automatically distribute AI requests among them. It is primarily designed for local multi-agent AI workloads, where multiple independent model calls can otherwise overwhelm one GPU.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Open Source</category>
      <category>Large language models</category>
      <category>GPU</category>
      <category>Agents</category>
      <category>Orchestration</category>
      <category>Performance</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Fri, 11 Sep 2026 15:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/nvidia-pair-ai-task-router/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2026-09-11T15:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/nvidia-pair-ai-task-router/en</dc:identifier>
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