---
格式版本: 2
标题: "AWS Deadline Cloud now supports sharing job bundles"
原文链接: "https://aws.amazon.com/cn/about-aws/whats-new/2026/09/deadline-cloud/job-bundle-sharing/"
发布日期: "2026-09-01"
发布时间校准状态: "found"
发布时间需复核: "否"
发布时间来源: "llm:local:original_script_field"
发布时间证据: "postDateTime: 2026-09-01T20:16:00Z"
发布时间校准原因: "该候选来自原始脚本字段postDateTime，明确标注为文章发布时间，且无其他冲突信息。"
发布时间校准置信度: "1"
发布时间候选数量: 1
发布时间严格候选数量: 0
发布时间原页读取状态: "source template page reused from URL open"
发布时间未找到原因: ""
发布时间校准时间: "2026-09-02T14:47:15+08:00"
发布时间仲裁状态: "confirmed"
发布时间仲裁尝试次数: 1
发布时间仲裁耗时毫秒: 11118
发现时间: "2026-09-02T14:46:59+08:00"
入库时间: "2026-09-02T06:47:26.328Z"
来源平台: "固定入口"
搜索渠道: "fixed_url"
搜索词: "https://aws.amazon.com/new"
匹配关键词:
  []
相关厂家:
  - "AWS"
相关专家:
  []
内容类型: "网页"
抓取工具: "Free Fetch + Defuddle"
清洗工具: "Defuddle Markdown + Defuddle/Readability 正文提取"
原始附件:
  []
AI优质: "否"
AI打分: 40
AI分档: "非优质"
AI质检状态: "不通过"
AI打分理由: "正文主线是AWS Deadline Cloud为渲染作业新增bundle共享功能，新增事实包括可向队列发布便携归档、存入现有S3附件桶、通过CLI管理并在全部可用区域开放。来源为AWS官方，正文完整；固定知识库未见同一功能记录，但Top 5不足以证明首次出现。该功能属于视觉渲染工作流和模板分发，不涉及AI机架、互连、供电、液冷、RAS或规模部署，命中应用/运维工具类弱相关否决，当前页面不值得进入超节点情报库。"
AI质检模型: "gpt-5.6-sol"
AI质检时间: "2026-09-02T14:47:49+08:00"
AI主题相关性: 1
AI来源权威性: 15
AI新颖性: 8
AI技术细节: 5
AI商业部署信号: 2
AI完整性: 9
AI评分提示词版本: "v17-精简生产版"
AI评分提示词SHA256: "48fb9777f386026761b4873eaff30807694fb11e9b352d7c69bf2dfde750cc7d"
AI评分知识库版本: "knowledge_base_v1-20260819+runtime.81"
AI评分知识库SHA256: "3b93d12e47749b3512f545f51c44c011bdc0931677c2cfe61e4df59a2b1a5a48"
AI评分知识库检索词: "[\"AWS\",\"https://aws.amazon.com/new\",\"RAS\",\"S3\",\"CLI\"]"
AI评分知识库命中: "[{\"id\":\"runtime-f189311ea2754e83ede89a96\",\"title\":\"Cerebras's Next Generation CS-4: Fast Just Got Faster\",\"sourceType\":\"ai_excellent_article\",\"time\":\"2026-08-19\",\"matchedTerms\":[\"AWS\",\"RAS\",\"S3\"],\"rank\":-11.2514369019464},{\"id\":\"runtime-9f43a79e9c23b1f329d8a71a\",\"title\":\"AWS and NVIDIA to Deliver 2 Million Additional GPUs and Next-Generation Infrastructure for Agentic and Physical AI\",\"sourceType\":\"ai_excellent_article\",\"time\":\"2026-08-26\",\"matchedTerms\":[\"AWS\",\"RAS\"],\"rank\":-6.462648364354998},{\"id\":\"runtime-bf4039a0342d37545e9459a2\",\"title\":\"Most Neoclouds Suck At Security\",\"sourceType\":\"ai_excellent_article\",\"time\":\"2026-08-30\",\"matchedTerms\":[\"AWS\",\"RAS\",\"CLI\"],\"rank\":-6.437511253822041},{\"id\":\"runtime-bf6a5bdbe28961c50fb91e45\",\"title\":\"Amazon EC2 P6-B300 instances are now available in additional AWS Regions\",\"sourceType\":\"ai_excellent_article\",\"time\":\"2026-08-28\",\"matchedTerms\":[\"AWS\"],\"rank\":-6.035296325361788},{\"id\":\"runtime-b86df24f43e82ced83868dce\",\"title\":\"AWS, Anthropic Complete Project Rainier AI Cluster\",\"sourceType\":\"ai_excellent_article\",\"time\":\"2026-08-17\",\"matchedTerms\":[\"AWS\",\"RAS\"],\"rank\":-5.976288065695294}]"
AI摘要: "AWS Deadline Cloud新增作业包共享功能，团队可直接从提交器或命令行将渲染作业模板发布到队列，有权限的成员即可立即使用。作业包作为便携归档存于队列现有Amazon S3附件桶，无需额外配置，方便管线团队发布标准作业模板。"
AI摘要模型: "ali-deepseek-v4-flash"
AI摘要时间: "2026-09-02T08:11:02.904Z"
采集批次: "2026年9月2日14点42分57秒"
采集批次ID: "20260902-144257-884"
去重键: "https://aws.amazon.com/cn/about-aws/whats-new/2026/09/deadline-cloud/job-bundle-sharing"
---

AWS Deadline Cloud now supports sharing job bundles, giving teams a simple way to distribute and reuse render job templates without manual file distribution. Deadline Cloud is a fully managed service that helps teams run compute-intensive workloads in the cloud for visual effects, animation, product design, simulation, and gaming.

Job bundles define the jobs you submit to Deadline Cloud, including the job template, parameters, and asset references. Previously, sharing a bundle with teammates meant distributing files through shared drives or manual copying. Now, you can publish a bundle to your queue directly from the submitter or the command line, and it immediately becomes available to everyone with access to that queue. Shared bundles are packaged as portable archives and stored in the queue's existing job attachments bucket in Amazon S3, so there is no additional infrastructure or configuration to set up. This makes it easy for pipeline teams to publish standard, ready-to-submit job templates that artists can pick up and use.

You can browse bundles shared on your queue, on your local filesystem, or from your job submission history. You can preview each bundle's name, description, steps, and parameters before selecting it. New CLI commands let you manage shared bundles from the command line and integrate bundle sharing into pipeline scripts.

This feature is available in all AWS Regions where Deadline Cloud is available. To get started, visit the [AWS Deadline Cloud documentation](https://docs.aws.amazon.com/deadline-cloud/latest/developerguide/share-job-bundles.html).