{"@context":"https://schema.org","@type":"NewsArticle","generatedAt":"2026-07-23T07:21:26.498Z","headline":"NVIDIA 推出 srt-slurm 框架，用声明式 YAML 配置生成可复现的 SLURM 基准测试工作流","description":"NVIDIA 推出 srt-slurm 框架，通过 srtctl CLI 将声明式 YAML 配置转化为可复现的 SLURM 基准测试工作流。该框架支持内置和自定义 recipe 的 dry-run 验证、参数扫描，以及面向 DeepSeek-R1 的分离式 prefill/decode 部署配置。","url":"https://www.aioga.com/news/cmruw6p5000f8biymwzgqeldq/","mainEntityOfPage":"https://www.aioga.com/news/cmruw6p5000f8biymwzgqeldq/","datePublished":"2026-07-21T16:29:36.000Z","dateModified":"2026-07-21T16:29:36.000Z","inLanguage":"zh-CN","publisher":{"@type":"NewsMediaOrganization","name":"Aioga","url":"https://www.aioga.com"},"citation":["https://www.marktechpost.com/2026/07/21/validating-distributed-llm-serving-benchmarks-with-nvidia-srt-slurm-slurm-recipes-parameter-sweeps-and-pareto-analysis","https://aihot.virxact.com/items/cmruw6p5000f8biymwzgqeldq"],"canonicalUrl":"https://www.aioga.com/news/cmruw6p5000f8biymwzgqeldq/","directAnswer":{"@type":"Answer","text":"Aioga 编辑摘要：NVIDIA 推出 srt-slurm 框架，通过 srtctl CLI 将声明式 YAML 配置转化为可复现的 SLURM 基准测试工作流。 Aioga 将其归入「技巧观点」方向，重点关注它对真实使用和行业竞争的影响。","url":"https://www.aioga.com/news/cmruw6p5000f8biymwzgqeldq/","dateCreated":"2026-07-21T16:29:36.000Z","author":{"@type":"Organization","@id":"https://www.aioga.com/authors/aioga-editorial/#editorial-team","name":"Aioga Editorial Team","url":"https://www.aioga.com/authors/aioga-editorial/"}},"evidence":[{"@type":"CreativeWork","name":"marktechpost.com source article","url":"https://www.marktechpost.com/2026/07/21/validating-distributed-llm-serving-benchmarks-with-nvidia-srt-slurm-slurm-recipes-parameter-sweeps-and-pareto-analysis","datePublished":"2026-07-21T16:29:36.000Z","provider":{"@type":"Organization","name":"marktechpost.com","url":"https://www.marktechpost.com/2026/07/21/validating-distributed-llm-serving-benchmarks-with-nvidia-srt-slurm-slurm-recipes-parameter-sweeps-and-pareto-analysis"}},{"@type":"CreativeWork","name":"AIHot archive record","url":"https://aihot.virxact.com/items/cmruw6p5000f8biymwzgqeldq","datePublished":"2026-07-21T16:29:36.000Z","provider":{"@type":"Organization","name":"AIHot","url":"https://aihot.virxact.com/items/cmruw6p5000f8biymwzgqeldq"}}],"aggregationSource":"MarkTechPost（RSS）","originalPublisher":{"name":"marktechpost.com","url":"https://www.marktechpost.com/2026/07/21/validating-distributed-llm-serving-benchmarks-with-nvidia-srt-slurm-slurm-recipes-parameter-sweeps-and-pareto-analysis"},"article":{"id":"cmruw6p5000f8biymwzgqeldq","slug":"cmruw6p5000f8biymwzgqeldq","url":"https://www.aioga.com/news/cmruw6p5000f8biymwzgqeldq/","title":"NVIDIA 推出 srt-slurm 框架，用声明式 YAML 配置生成可复现的 SLURM 基准测试工作流","title_en":"Validating Distributed LLM Serving Benchmarks with NVIDIA srt-slurm， SLURM Recipes， Parameter Sweeps， and Pareto Analysis","summary":"NVIDIA 推出 srt-slurm 框架，通过 srtctl CLI 将声明式 YAML 配置转化为可复现的 SLURM 基准测试工作流。该框架支持内置和自定义 recipe 的 dry-run 验证、参数扫描，以及面向 DeepSeek-R1 的分离式 prefill/decode 部署配置。","source":"MarkTechPost（RSS）","sourceUrl":"https://www.marktechpost.com/2026/07/21/validating-distributed-llm-serving-benchmarks-with-nvidia-srt-slurm-slurm-recipes-parameter-sweeps-and-pareto-analysis","aiHotUrl":"https://aihot.virxact.com/items/cmruw6p5000f8biymwzgqeldq","publishedAt":"2026-07-21T16:29:36.000Z","category":"技巧观点","score":64,"selected":false,"articleBody":["In this tutorial, we explore NVIDIA’s srt-slurm ：https://github.com/NVIDIA/srt-slurm framework and learn how we use srtctl to convert declarative YAML configurations into reproducible SLURM benchmark workflows for distributed LLM serving. We set up the project in Google Colab, inspect its internal architecture, define a cluster configuration, dry-run built-in and custom recipes, and model a disaggregated prefill-and-decode deployment for DeepSeek-R1. We also generate parameter sweeps, interact with the typed Python API, validate expanded configurations, and analyze simulated benchmark results through a throughput-versus-latency Pareto frontier. Although Colab does not provide a real SLURM environment, we use it as a practical development workspace to understand, validate, and prepare production-grade benchmark recipes before we submit them to an actual GPU cluster.","We prepare the Colab environment by importing the required modules and defining reusable helper functions for command execution and section formatting. We clone the NVIDIA srt-slurm repository, install it in editable mode, and expose its source directory to the active Python runtime. We then switch to the repository directory and verify that the srtctl command-line interface is installed correctly.","We inspect the repository structure to understand how srtctl organizes its command-line tools, schemas, backends, templates, recipes, and analysis components. We then create a local srtslurm.yaml file containing simulated cluster defaults, container aliases, GPU settings, and model paths. We use this configuration to resolve recipe references in Colab without requiring access to an actual SLURM cluster.","We dry-run the built-in mocker recipe to examine how srtctl validates configurations and generates SLURM submission artifacts without executing a real benchmark. We then define an advanced DeepSeek-R1 recipe that separates prefill and decode workloads across independent node and worker pools. We validate this disaggregated SGLang configuration through another dry run and inspect how the serving parameters are translated into job scripts.","We execute the example parameter sweep and inspect the individual job configurations created from its Cartesian search space. We load our custom recipe through the typed Python API and examine its model, precision, GPU topology, benchmark settings, and supported enumeration values. We also programmatically expand sweep templates and verify how each parameter combination affects the generated backend configuration.","We simulate benchmark observations for two chunked-prefill variants across increasing concurrency levels. We calculate representative throughput per GPU and inter-token latency values to model the saturation and latency growth commonly observed in distributed serving systems. We then visualize these results in a Pareto-style plot to compare throughput and responsiveness across configurations.","We outline the production workflow that we follow when transferring validated recipes from Colab to a real SLURM-based GPU cluster. We review the commands used for environment setup, preflight validation, job submission, sweep execution, monitoring, dashboard analysis, and experiment comparison. We also emphasize reproducibility by declaring model revisions, container identities, and framework versions inside each benchmark recipe.","In conclusion, we built a complete understanding of how srtctl structures, validates, expands, and prepares distributed LLM-serving benchmarks for execution on SLURM infrastructure. We moved from basic installation and repository inspection to advanced disaggregated serving configurations, Cartesian parameter sweeps, programmatic schema access, and benchmark-result analysis. We also saw how dry runs expose generated job artifacts and help us detect configuration problems before expensive cluster resources are allocated. With this workflow in place, we can confidently transfer our validated recipes to a real NVIDIA GPU cluster, run preflight checks, submit benchmark jobs, monitor execution, compare experiment fingerprints, and analyze performance trade-offs in a reproducible manner.","Need to partner with us for promoting your GitHub Repo OR Hugging Face Page OR Product Release OR Webinar etc.? Connect with us ：https://forms.gle/wbash1wF6efRj8G58","Sana Hassan, a consulting intern at Marktechpost and dual-degree student at IIT Madras, is passionate about applying technology and AI to address real-world challenges. With a keen interest in solving practical problems, he brings a fresh perspective to the intersection of AI and real-life solutions.","Build an Agentic Event Venue Operator [Full Codes]：https://pxllnk.co/twdn5","Thanks! Our team will contact you soon 🙌"],"articleImages":[{"sourceUrl":"https://www.marktechpost.com/wp-content/uploads/2026/07/blog19132-1-8-100x70.png","alt":"Google Releases Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber","afterParagraph":9,"url":"/media/articles/cmruw6p5000f8biymwzgqeldq/39896896ab8c8014.webp"}],"mediaStatus":"ok","articleBodyZh":["在本教程中，我们将探讨NVIDIA的srt-slurm：https://github.com/NVIDIA/srt-slurm 框架，并学习如何使用srtctl将声明式YAML配置转换为可重复的SLURM基准工作流，用于分布式LLM服务。我们在Google Colab中搭建项目，检查其内部架构，定义集群配置，进行内置和自定义配方的模拟运行，并对DeepSeek-R1建模一个分离的预填充（prefill）与解码（decode）部署。我们还生成参数扫描，使用类型化Python API进行交互，验证扩展配置，并通过吞吐量与延迟的帕累托前沿分析模拟的基准结果。虽然Colab不提供真实的SLURM环境，但我们仍将其作为实用的开发工作空间，以便在提交到实际GPU集群之前理解、验证并准备生产级别的基准配方。","我们通过导入所需模块并定义用于命令执行和章节格式化的可重用辅助函数来准备Colab环境。我们克隆NVIDIA srt-slurm仓库，以可编辑模式安装，并将其源代码目录暴露给当前的Python运行环境。然后，我们切换到仓库目录，并验证srtctl命令行界面是否正确安装。","我们检查仓库结构，以了解srtctl如何组织其命令行工具、模式（schemas）、后端（backends）、模板、配方（recipes）和分析组件。随后，我们创建一个本地srtslurm.yaml文件，包含模拟的集群默认设置、容器别名、GPU设置和模型路径。我们使用此配置在Colab中解析配方引用，而无需访问真正的SLURM集群。","我们对内置的mocker配方进行模拟运行，以检查srtctl如何验证配置并生成SLURM提交工具，而无需执行真实的基准测试。随后，我们定义一个高级的DeepSeek-R1配方，将预填充和解码工作负载分布在独立的节点和工作池中。我们通过另一次模拟运行验证该分离式SGLang配置，并检查服务参数如何被转换为作业脚本。","我们执行示例参数扫描，并检查从其笛卡尔搜索空间创建的各个作业配置。我们通过类型化 Python API 加载自定义配方，并检查其模型、精度、GPU 拓扑、基准设置以及支持的枚举值。我们还以编程方式扩展扫描模板，并验证每个参数组合如何影响生成的后台配置。","我们模拟了两种分块预填充变体在不同并发级别下的基准观察结果。我们计算每个 GPU 的代表性吞吐量和每个 token 的延迟值，以模拟分布式服务系统中常见的饱和和延迟增长现象。然后，我们将这些结果以帕累托风格图表可视化，用于比较不同配置的吞吐量和响应能力。","我们概述了在将经过验证的配方从 Colab 转移到基于 SLURM 的真实 GPU 集群时遵循的生产工作流程。我们回顾了用于环境设置、预检验证、作业提交、扫描执行、监控、仪表板分析和实验比较的命令。我们还通过在每个基准配方中声明模型版本、容器身份和框架版本来强调可重复性。","总之，我们全面理解了 srtctl 如何构建、验证、扩展并准备分布式 LLM 服务基准，以便在 SLURM 基础设施上执行。从基础安装和仓库检查，到高级的分离服务配置、笛卡尔参数扫描、编程模式访问和基准结果分析，我们都进行了学习。我们还看到干运行如何暴露生成的作业工件，并帮助我们在分配昂贵的集群资源之前发现配置问题。有了这一工作流程，我们可以自信地将经过验证的配方转移到真实的 NVIDIA GPU 集群，进行预检，提交基准作业，监控执行情况，比较实验指纹，并以可重复的方式分析性能权衡。","需要与我们合作推广您的 GitHub 仓库、Hugging Face 页面、产品发布或网络研讨会等吗？请联系我们：https://forms.gle/wbash1wF6efRj8G58","Sana Hassan 是 Marktechpost 的咨询实习生，也是 IIT 马德拉斯的双学位学生，他热衷于将技术和人工智能应用于解决现实世界的挑战。由于对解决实际问题充满兴趣，他为人工智能与现实生活解决方案的结合带来了新的视角。","构建一个自主事件场地运营商 [完整代码]：https://pxllnk.co/twdn5","谢谢！我们的团队会尽快与您联系 🙌"],"translationStatus":"translated","bodyOrigin":"source-page","editorial":{"summary":"Aioga 编辑摘要：NVIDIA 推出 srt-slurm 框架，通过 srtctl CLI 将声明式 YAML 配置转化为可复现的 SLURM 基准测试工作流。 Aioga 将其归入「技巧观点」方向，重点关注它对真实使用和行业竞争的影响。","background":"背景分析：实践类内容的价值在于是否能被复现、是否有明确边界，以及它能否转化为稳定的开发或工作流方法。","viewpoint":"Aioga 判断：这条动态更适合作为行业观察信号，当前信息足以建立线索，但不足以推导长期结论。","implications":"影响分析：对相关团队而言，短期应先核对来源、可用范围和实际成本，再判断是否值得接入或跟进。","nextStep":"后续观察：继续观察示例是否可复现、工具版本变化、社区反馈和实际成本。","evidenceRefs":["title","summary","articleBody"],"confidence":"medium","status":"published","aiGenerated":false,"autoApproved":true,"generatedBy":"rule-safe-fallback","generatedAt":"2026-07-23T07:30:40.482Z","sourceHash":"a2b36b3e4167204e","validation":{"passed":true,"mode":"rule-safe-fallback","checks":["schema","length","source-attribution","no-html"]}},"tags":["技巧观点","MarkTechPost（RSS）"],"translations":{"zh-CN":{"title":"NVIDIA 推出 srt-slurm 框架，用声明式 YAML 配置生成可复现的 SLURM 基准测试工作流","summary":"NVIDIA 推出 srt-slurm 框架，通过 srtctl CLI 将声明式 YAML 配置转化为可复现的 SLURM 基准测试工作流。该框架支持内置和自定义 recipe 的 dry-run 验证、参数扫描，以及面向 DeepSeek-R1 的分离式 prefill/decode 部署配置。","category":"技巧观点","source":"marktechpost.com","aggregationSource":"MarkTechPost（RSS）","pageTitle":"NVIDIA 推出 srt-slurm 框架，用声明式 YAML 配置生成可复现的 SLURM 基准测试工作流 - Aioga AI资讯","description":"NVIDIA 推出 srt-slurm 框架，通过 srtctl CLI 将声明式 YAML 配置转化为可复现的 SLURM 基准测试工作流。该框架支持内置和自定义 recipe 的 dry-run 验证、参数扫描，以及面向 DeepSeek-R1 的分离式 prefill/decode 部署配置。","url":"https://www.aioga.com/news/cmruw6p5000f8biymwzgqeldq/"},"en":{"title":"NVIDIA launches the srt-slurm framework, generating reproducible SLURM benchmark workflows using declarative YAML configuration","summary":"NVIDIA has launched the srt-slurm framework, which converts declarative YAML configurations into reproducible SLURM benchmark workflows through the srtctl CLI. The framework supports dry-run verification of built-in and custom recipes, parameter scanning, and separate prefill/decode deployment configurations for DeepSeek-R1.","category":"Insights","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"NVIDIA launches the srt-slurm framework, generating reproducible SLURM benchmark workflows using declarative YAML configuration - Aioga AI News","description":"NVIDIA has launched the srt-slurm framework, which converts declarative YAML configurations into reproducible SLURM benchmark workflows through the srtctl CLI. The framework suppor...","url":"https://www.aioga.com/en/news/cmruw6p5000f8biymwzgqeldq/","contentTranslated":true,"sourceHash":"f047db9ec2614893","translatedAt":"2026-07-22T19:43:51.365Z"},"ja":{"title":"NVIDIA は srt-slurm フレームワークをリリースし、宣言型 YAML で設定して再現可能な SLURM ベンチマークワークフローを生成できるようにしました","summary":"NVIDIA は srt-slurm フレームワークを発表し、srtctl CLI を通じて宣言型 YAML 設定を再現可能な SLURM ベンチマークワークフローに変換します。このフレームワークは、組み込みおよびカスタムレシピの dry-run 検証、パラメータスキャン、および DeepSeek-R1 向けの分離型 prefill/decode 展開設定をサポートします。","category":"ヒントと視点","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"NVIDIA は srt-slurm フレームワークをリリースし、宣言型 YAML で設定して再現可能な SLURM ベンチマークワークフローを生成できるようにしました - Aioga AIニュース","description":"NVIDIA は srt-slurm フレームワークを発表し、srtctl CLI を通じて宣言型 YAML 設定を再現可能な SLURM ベンチマークワークフローに変換します。このフレームワークは、組み込みおよびカスタムレシピの dry-run 検証、パラメータスキャン、および DeepSeek-R1 向けの分離型 prefill/decode 展開設定を...","url":"https://www.aioga.com/ja/news/cmruw6p5000f8biymwzgqeldq/","contentTranslated":true,"sourceHash":"f047db9ec2614893","translatedAt":"2026-07-22T19:44:00.539Z"},"ko":{"title":"NVIDIA는 선언적 YAML 구성을 사용하여 재현 가능한 SLURM 벤치마크 워크플로를 생성하는 srt-slurm 프레임워크를 출시했습니다.","summary":"NVIDIA는 srt-slurm 프레임워크를 출시하여 srtctl CLI를 통해 선언형 YAML 구성을 재현 가능한 SLURM 벤치마크 워크플로로 변환합니다. 이 프레임워크는 내장 및 사용자 정의 레시피의 dry-run 검증, 파라미터 스캔, 그리고 DeepSeek-R1용 분리형 prefill/decode 배포 구성을 지원합니다.","category":"인사이트","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"NVIDIA는 선언적 YAML 구성을 사용하여 재현 가능한 SLURM 벤치마크 워크플로를 생성하는 srt-slurm 프레임워크를 출시했습니다. - Aioga AI 뉴스","description":"NVIDIA는 srt-slurm 프레임워크를 출시하여 srtctl CLI를 통해 선언형 YAML 구성을 재현 가능한 SLURM 벤치마크 워크플로로 변환합니다. 이 프레임워크는 내장 및 사용자 정의 레시피의 dry-run 검증, 파라미터 스캔, 그리고 DeepSeek-R1용 분리형 prefill/decode 배포 구성을 지...","url":"https://www.aioga.com/ko/news/cmruw6p5000f8biymwzgqeldq/","contentTranslated":true,"sourceHash":"f047db9ec2614893","translatedAt":"2026-07-22T19:44:51.910Z"},"es":{"title":"NVIDIA lanza el marco srt-slurm, que genera flujos de trabajo de benchmarks reproducibles de SLURM mediante configuraciones declarativas en YAML","summary":"NVIDIA lanzó el marco srt-slurm, que a través de la CLI srtctl convierte configuraciones YAML declarativas en flujos de trabajo de referencia SLURM reproducibles. Este marco admite la validación de ejecución simulada (dry-run) de recipes integrados y personalizados, escaneo de parámetros, así como configuraciones de despliegue prefill/decode separadas orientadas a DeepSeek-R1.","category":"Ideas","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"NVIDIA lanza el marco srt-slurm, que genera flujos de trabajo de benchmarks reproducibles de SLURM mediante configuraciones declarativas en YAML - Aioga Noticias de IA","description":"NVIDIA lanzó el marco srt-slurm, que a través de la CLI srtctl convierte configuraciones YAML declarativas en flujos de trabajo de referencia SLURM reproducibles. Este marco admite...","url":"https://www.aioga.com/es/news/cmruw6p5000f8biymwzgqeldq/","contentTranslated":true,"sourceHash":"f047db9ec2614893","translatedAt":"2026-07-22T19:44:49.399Z"},"fr":{"title":"NVIDIA lance le cadre srt-slurm, générant des flux de travail de tests de référence SLURM reproductibles à partir de configurations YAML déclaratives","summary":"NVIDIA a lancé le framework srt-slurm, qui transforme les configurations YAML déclaratives en flux de travail de benchmark SLURM reproductibles via l'interface en ligne de commande srtctl. Ce framework prend en charge la validation en mode simulation et l'exploration de paramètres pour les recettes intégrées et personnalisées, ainsi que les configurations de déploiement pré-remplissage/décode séparé pour DeepSeek-R1.","category":"Analyses","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"NVIDIA lance le cadre srt-slurm, générant des flux de travail de tests de référence SLURM reproductibles à partir de configurations YAML déclaratives - Aioga Actualités IA","description":"NVIDIA a lancé le framework srt-slurm, qui transforme les configurations YAML déclaratives en flux de travail de benchmark SLURM reproductibles via l'interface en ligne de commande...","url":"https://www.aioga.com/fr/news/cmruw6p5000f8biymwzgqeldq/","contentTranslated":true,"sourceHash":"f047db9ec2614893","translatedAt":"2026-07-22T19:45:40.681Z"},"de":{"title":"NVIDIA führt das srt-slurm Framework ein, das deklarative YAML-Konfigurationen zur Erstellung reproduzierbarer SLURM-Benchmarking-Workflows verwendet","summary":"NVIDIA hat das srt-slurm Framework vorgestellt, das es ermöglicht, deklarative YAML-Konfigurationen über das srtctl CLI in reproduzierbare SLURM-Benchmark-Workflows zu verwandeln. Das Framework unterstützt die Dry-Run-Validierung von eingebauten und benutzerdefinierten Rezepten, Parameterscans sowie getrennte Prefill/Decode-Deployment-Konfigurationen für DeepSeek-R1.","category":"技巧观点","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"NVIDIA führt das srt-slurm Framework ein, das deklarative YAML-Konfigurationen zur Erstellung reproduzierbarer SLURM-Benchmarking-Workflows verwendet - Aioga KI-News","description":"NVIDIA hat das srt-slurm Framework vorgestellt, das es ermöglicht, deklarative YAML-Konfigurationen über das srtctl CLI in reproduzierbare SLURM-Benchmark-Workflows zu verwandeln....","url":"https://www.aioga.com/de/news/cmruw6p5000f8biymwzgqeldq/","contentTranslated":true,"sourceHash":"f047db9ec2614893","translatedAt":"2026-07-22T19:45:49.195Z"},"pt-BR":{"title":"A NVIDIA lança o framework srt-slurm, gerando fluxos de trabalho de benchmark SLURM reproduzíveis a partir de configurações YAML declarativas","summary":"A NVIDIA lançou o framework srt-slurm, que transforma configurações YAML declarativas em fluxos de trabalho de benchmark SLURM reproduzíveis por meio do CLI srtctl. O framework suporta validação de dry-run de receitas integradas e personalizadas, varredura de parâmetros, bem como configuração de implantação prefill/decode separada voltada para o DeepSeek-R1.","category":"技巧观点","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"A NVIDIA lança o framework srt-slurm, gerando fluxos de trabalho de benchmark SLURM reproduzíveis a partir de configurações YAML declarativas - Aioga Notícias de IA","description":"A NVIDIA lançou o framework srt-slurm, que transforma configurações YAML declarativas em fluxos de trabalho de benchmark SLURM reproduzíveis por meio do CLI srtctl. O framework sup...","url":"https://www.aioga.com/pt-BR/news/cmruw6p5000f8biymwzgqeldq/","contentTranslated":true,"sourceHash":"f047db9ec2614893","translatedAt":"2026-07-22T19:46:38.296Z"},"ru":{"title":"NVIDIA выпустила фреймворк srt-slurm, который с помощью декларативной YAML-конфигурации генерирует воспроизводимые рабочие процессы бенчмаркинга SLURM","summary":"NVIDIA представила фреймворк srt-slurm, который с помощью CLI srtctl преобразует декларативные YAML-конфигурации в воспроизводимые рабочие процессы тестирования SLURM. Этот фреймворк поддерживает проверку без выполнения (dry-run) встроенных и пользовательских рецептов, сканирование параметров, а также раздельную конфигурацию развертывания prefill/decode для DeepSeek-R1.","category":"技巧观点","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"NVIDIA выпустила фреймворк srt-slurm, который с помощью декларативной YAML-конфигурации генерирует воспроизводимые рабочие процессы бенчмаркинга SLURM - Aioga Новости ИИ","description":"NVIDIA представила фреймворк srt-slurm, который с помощью CLI srtctl преобразует декларативные YAML-конфигурации в воспроизводимые рабочие процессы тестирования SLURM. Этот фреймво...","url":"https://www.aioga.com/ru/news/cmruw6p5000f8biymwzgqeldq/","contentTranslated":true,"sourceHash":"f047db9ec2614893","translatedAt":"2026-07-22T19:46:40.711Z"},"ar":{"title":"أطلقت NVIDIA إطار srt-slurm، لإنشاء سير عمل لاختبارات الأداء SLURM قابلة للاستنساخ باستخدام تكوين YAML التصريحي","summary":"أطلقت NVIDIA إطار srt-slurm، الذي يحول تكوين YAML الإعلاني إلى سير عمل اختبار معياري قابل للتكرار باستخدام واجهة سطر الأوامر srtctl. يدعم هذا الإطار التحقق من التشغيل التجريبي للوصفات المدمجة والمخصصة، ومسح المعلمات، بالإضافة إلى تكوين النشر المنفصل prefill/decode المخصص لـ DeepSeek-R1.","category":"技巧观点","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"أطلقت NVIDIA إطار srt-slurm، لإنشاء سير عمل لاختبارات الأداء SLURM قابلة للاستنساخ باستخدام تكوين YAML التصريحي - Aioga أخبار الذكاء الاصطناعي","description":"أطلقت NVIDIA إطار srt-slurm، الذي يحول تكوين YAML الإعلاني إلى سير عمل اختبار معياري قابل للتكرار باستخدام واجهة سطر الأوامر srtctl. يدعم هذا الإطار التحقق من التشغيل التجريبي للوص...","url":"https://www.aioga.com/ar/news/cmruw6p5000f8biymwzgqeldq/","contentTranslated":true,"sourceHash":"f047db9ec2614893","translatedAt":"2026-07-22T19:47:35.435Z"},"hi":{"title":"NVIDIA ने srt-slurm फ्रेमवर्क लॉन्च किया, जो घोषणात्मक YAML कॉन्फ़िगरेशन का उपयोग करके पुनरुत्पादन योग्य SLURM बेंचमार्क वर्कफ़्लो उत्पन्न करता है","summary":"एनवीडिया ने srt-slurm फ्रेमवर्क लॉन्च किया, जो srtctl CLI के माध्यम से घोषणात्मक YAML कॉन्फ़िगरेशन को पुनरुत्पादित SLURM बेंचमार्क वर्कफ़्लो में परिवर्तित करता है। यह फ्रेमवर्क इन-बिल्ट और कस्टम रेसिपी के ड्राई-रन सत्यापन, पैरामीटर स्कैनिंग, और DeepSeek-R1 के लिए अलग-अलग prefill/decode डिप्लॉयमेंट कॉन्फ़िगरेशन का समर्थन करता है।","category":"技巧观点","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"NVIDIA ने srt-slurm फ्रेमवर्क लॉन्च किया, जो घोषणात्मक YAML कॉन्फ़िगरेशन का उपयोग करके पुनरुत्पादन योग्य SLURM बेंचमार्क वर्कफ़्लो उत्पन्न करता है - Aioga AI समाचार","description":"एनवीडिया ने srt-slurm फ्रेमवर्क लॉन्च किया, जो srtctl CLI के माध्यम से घोषणात्मक YAML कॉन्फ़िगरेशन को पुनरुत्पादित SLURM बेंचमार्क वर्कफ़्लो में परिवर्तित करता है। यह फ्रेमवर्क इन-...","url":"https://www.aioga.com/hi/news/cmruw6p5000f8biymwzgqeldq/","contentTranslated":true,"sourceHash":"f047db9ec2614893","translatedAt":"2026-07-22T19:47:38.060Z"},"it":{"title":"NVIDIA ha lanciato il framework srt-slurm, che genera workflow di benchmark SLURM riproducibili utilizzando configurazioni YAML dichiarative","summary":"NVIDIA ha lanciato il framework srt-slurm, che trasforma le configurazioni YAML dichiarative in workflow di benchmark SLURM riproducibili tramite la CLI srtctl. Il framework supporta la validazione dry-run di recipe integrate e personalizzate, la scansione dei parametri e la configurazione di deployment prefill/decode separata per DeepSeek-R1.","category":"技巧观点","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"NVIDIA ha lanciato il framework srt-slurm, che genera workflow di benchmark SLURM riproducibili utilizzando configurazioni YAML dichiarative - Aioga Notizie IA","description":"NVIDIA ha lanciato il framework srt-slurm, che trasforma le configurazioni YAML dichiarative in workflow di benchmark SLURM riproducibili tramite la CLI srtctl. Il framework suppor...","url":"https://www.aioga.com/it/news/cmruw6p5000f8biymwzgqeldq/","contentTranslated":true,"sourceHash":"f047db9ec2614893","translatedAt":"2026-07-22T19:48:30.348Z"},"nl":{"title":"NVIDIA lanceert het srt-slurm-framework, waarmee reproduceerbare SLURM-benchmarkworkflows kunnen worden gegenereerd met declaratieve YAML-configuraties","summary":"NVIDIA heeft het srt-slurm-framework gelanceerd, waarmee declaratieve YAML-configuraties via de srtctl CLI kunnen worden omgezet in reproduceerbare SLURM-benchmarkworkflows. Het framework ondersteunt dry-run verificatie van ingebouwde en aangepaste recepten, parameter scans, en gescheiden prefill/decode implementatieconfiguraties voor DeepSeek-R1.","category":"技巧观点","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"NVIDIA lanceert het srt-slurm-framework, waarmee reproduceerbare SLURM-benchmarkworkflows kunnen worden gegenereerd met declaratieve YAML-configuraties - Aioga AI-nieuws","description":"NVIDIA heeft het srt-slurm-framework gelanceerd, waarmee declaratieve YAML-configuraties via de srtctl CLI kunnen worden omgezet in reproduceerbare SLURM-benchmarkworkflows. Het fr...","url":"https://www.aioga.com/nl/news/cmruw6p5000f8biymwzgqeldq/","contentTranslated":true,"sourceHash":"f047db9ec2614893","translatedAt":"2026-07-22T19:48:27.723Z"},"tr":{"title":"NVIDIA, bildirimsel YAML yapılandırması kullanarak tekrarlanabilir SLURM benchmarking iş akışları oluşturan srt-slurm çerçevesini tanıttı","summary":"NVIDIA, srtctl CLI aracılığıyla bildirisel YAML yapılandırmalarını tekrarlanabilir SLURM benchmark iş akışlarına dönüştüren srt-slurm çatısını tanıttı. Bu çerçeve, yerleşik ve özel tariflerin dry-run doğrulamasını, parametre taramasını ve DeepSeek-R1 için ayrı prefill/decode dağıtım yapılandırmasını destekler.","category":"技巧观点","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"NVIDIA, bildirimsel YAML yapılandırması kullanarak tekrarlanabilir SLURM benchmarking iş akışları oluşturan srt-slurm çerçevesini tanıttı - Aioga AI Haberleri","description":"NVIDIA, srtctl CLI aracılığıyla bildirisel YAML yapılandırmalarını tekrarlanabilir SLURM benchmark iş akışlarına dönüştüren srt-slurm çatısını tanıttı. Bu çerçeve, yerleşik ve özel...","url":"https://www.aioga.com/tr/news/cmruw6p5000f8biymwzgqeldq/","contentTranslated":true,"sourceHash":"f047db9ec2614893","translatedAt":"2026-07-22T19:49:18.434Z"},"vi":{"title":"NVIDIA ra mắt khung srt-slurm, sử dụng cấu hình YAML khai báo để tạo luồng công việc chuẩn SLURM có thể tái lập","summary":"NVIDIA ra mắt khung srt-slurm, thông qua CLI srtctl chuyển đổi cấu hình YAML khai báo thành quy trình công việc đo chuẩn SLURM có thể tái hiện. Khung này hỗ trợ xác thực chạy thử (dry-run) của các recipe tích hợp và tùy chỉnh, quét tham số, cũng như cấu hình triển khai prefill/decode tách rời cho DeepSeek-R1.","category":"技巧观点","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"NVIDIA ra mắt khung srt-slurm, sử dụng cấu hình YAML khai báo để tạo luồng công việc chuẩn SLURM có thể tái lập - Tin tức AI Aioga","description":"NVIDIA ra mắt khung srt-slurm, thông qua CLI srtctl chuyển đổi cấu hình YAML khai báo thành quy trình công việc đo chuẩn SLURM có thể tái hiện. Khung này hỗ trợ xác thực chạy thử (...","url":"https://www.aioga.com/vi/news/cmruw6p5000f8biymwzgqeldq/","contentTranslated":true,"sourceHash":"f047db9ec2614893","translatedAt":"2026-07-22T19:49:28.522Z"},"id":{"title":"NVIDIA meluncurkan kerangka kerja srt-slurm, menggunakan konfigurasi YAML deklaratif untuk menghasilkan alur kerja benchmarking SLURM yang dapat direproduksi","summary":"NVIDIA meluncurkan kerangka srt-slurm, yang melalui CLI srtctl mengubah konfigurasi deklaratif YAML menjadi alur kerja benchmark SLURM yang dapat direproduksi. Kerangka ini mendukung validasi dry-run untuk resep bawaan dan kustom, pemindaian parameter, serta konfigurasi penyebaran prefill/decode terpisah untuk DeepSeek-R1.","category":"技巧观点","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"NVIDIA meluncurkan kerangka kerja srt-slurm, menggunakan konfigurasi YAML deklaratif untuk menghasilkan alur kerja benchmarking SLURM yang dapat direproduksi - Berita AI Aioga","description":"NVIDIA meluncurkan kerangka srt-slurm, yang melalui CLI srtctl mengubah konfigurasi deklaratif YAML menjadi alur kerja benchmark SLURM yang dapat direproduksi. Kerangka ini menduku...","url":"https://www.aioga.com/id/news/cmruw6p5000f8biymwzgqeldq/","contentTranslated":true,"sourceHash":"f047db9ec2614893","translatedAt":"2026-07-22T19:50:09.761Z"},"th":{"title":"NVIDIA เปิดตัวกรอบงาน srt-slurm โดยใช้การกำหนดค่า YAML แบบประกาศเพื่อสร้างเวิร์กโฟลว์การทดสอบมาตรฐาน SLURM ที่สามารถทำซ้ำได้","summary":"NVIDIA เปิดตัวกรอบ srt-slurm โดยใช้ srtctl CLI เพื่อแปลงการกำหนดค่า YAML แบบประกาศเป็นเวิร์กโฟลว์ทดสอบมาตรฐาน SLURM ที่สามารถทำซ้ำได้ กรอบนี้รองรับการตรวจสอบแบบ dry-run ของ recipe ที่ติดตั้งมาแล้วและแบบกำหนดเอง การสแกนพารามิเตอร์ และการกำหนดค่าการปรับใช้แยก prefill/decode สำหรับ DeepSeek-R1","category":"技巧观点","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"NVIDIA เปิดตัวกรอบงาน srt-slurm โดยใช้การกำหนดค่า YAML แบบประกาศเพื่อสร้างเวิร์กโฟลว์การทดสอบมาตรฐาน SLURM ที่สามารถทำซ้ำได้ - ข่าว AI Aioga","description":"NVIDIA เปิดตัวกรอบ srt-slurm โดยใช้ srtctl CLI เพื่อแปลงการกำหนดค่า YAML แบบประกาศเป็นเวิร์กโฟลว์ทดสอบมาตรฐาน SLURM ที่สามารถทำซ้ำได้ กรอบนี้รองรับการตรวจสอบแบบ dry-run ของ recipe...","url":"https://www.aioga.com/th/news/cmruw6p5000f8biymwzgqeldq/","contentTranslated":true,"sourceHash":"f047db9ec2614893","translatedAt":"2026-07-22T19:50:23.644Z"},"pl":{"title":"NVIDIA wprowadza ramy srt-slurm, generujące powtarzalne przepływy pracy testów porównawczych SLURM za pomocą deklaratywnej konfiguracji YAML","summary":"NVIDIA wprowadziła framework srt-slurm, który za pomocą interfejsu CLI srtctl przekształca deklaratywne konfiguracje YAML w powtarzalne workflow testów porównawczych SLURM. Framework obsługuje walidację suchego uruchomienia wbudowanych i niestandardowych przepisów, skanowanie parametrów oraz oddzielną konfigurację wdrożeniową prefill/decode dla DeepSeek-R1.","category":"技巧观点","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"NVIDIA wprowadza ramy srt-slurm, generujące powtarzalne przepływy pracy testów porównawczych SLURM za pomocą deklaratywnej konfiguracji YAML - Aioga Wiadomości AI","description":"NVIDIA wprowadziła framework srt-slurm, który za pomocą interfejsu CLI srtctl przekształca deklaratywne konfiguracje YAML w powtarzalne workflow testów porównawczych SLURM. Framewo...","url":"https://www.aioga.com/pl/news/cmruw6p5000f8biymwzgqeldq/","contentTranslated":true,"sourceHash":"f047db9ec2614893","translatedAt":"2026-07-22T19:51:13.421Z"}}}}