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#部署/工程

今日 33 条
10月7日周三
  3. Rohan Paul43

    Ampersand 提供面向企业 AI 智能体的集成基础设施，用运行时处理认证、token 刷新、重试、回填和监控，并把各客户的对象、字段与映射集中放入配置。该方案已支持 11x、Orb 和 Square 在 Salesforce、SAP、NetSuite、Workday 等记录系统中执行智能体操作，重点解决字段改名、凭据过期和客户自定义工作流导致的长期维护问题。

    引用Ayan Barua@ayanb

    Your AI is vaporware without deep integrations with your customers’ systems of record. Introducing @WithAmpersand: integration infrastructure for enterprise agents. We power 11x, Orb, and Square's ability to take agentic action in systems of record like Salesforce, SAP, NetSuite, and Workday. Ask anyone serious about building AI and they’ll tell you: - The SaaSpocalypse didn’t happen. The world depends on CRMs, ERPs, HRISs, and ITSMs. - Your customers customized their deployments beyond recognition. - Systems of record companies are basically monopolies. They never had to make their APIs and MCPs user-friendly. - Docs don't explain half the weird edge cases you'll hit. - One bad write can blow up your pilot or renewal. - Once you finally get it working, someone changes a field and it breaks again. The world's data lives in structured databases. AI needs a translation layer to work with it. So, for your AI to truly transform the way enterprises work, you'll need deep integrations built for: - scoped permissions - bi-directional actions - real-time speed for agents - custom objects, fields, and workflows for each of your customers We built Ampersand to power the future of software. AI didn't trivialize writing integrations. It made them the critical path. I believe that deeply, so I didn't make a launch video about Ampersand. Instead, it's the best builders I know explaining just how big of a challenge this is.

  6. Hacker News：AI 热帖57

    Burn 0.22.0 发布：移除后端泛型并加入 LoRA、QLoRA 与 ONNX 导出

    Burn 0.22.0 发布，用户 API 不再携带后端类型参数，改为通过 device 选择执行方式，官方测试中模型编辑后的重建最高快 15×。版本还加入自适应内存管理、更智能的 autotuning、CUDA/HIP 图捕获与 replay、CubeCL Environment 缓存，以及 LoRA、QLoRA、ONNX 导出和扩展的远程计算支持。

  12. elvis36

    Ampersand 提供面向企业 AI 智能体的集成基础设施，用一份配置定义各客户的对象与字段映射，并处理 auth、重试、回填和监控。它面向 Salesforce、SAP、NetSuite、Workday 等系统中客户自定义对象、字段和权限差异导致的集成难题，已支持 11x、Orb 和 Square 在这些系统中执行智能体操作。

    引用Ayan Barua@ayanb

    Your AI is vaporware without deep integrations with your customers’ systems of record. Introducing @WithAmpersand: integration infrastructure for enterprise agents. We power 11x, Orb, and Square's ability to take agentic action in systems of record like Salesforce, SAP, NetSuite, and Workday. Ask anyone serious about building AI and they’ll tell you: - The SaaSpocalypse didn’t happen. The world depends on CRMs, ERPs, HRISs, and ITSMs. - Your customers customized their deployments beyond recognition. - Systems of record companies are basically monopolies. They never had to make their APIs and MCPs user-friendly. - Docs don't explain half the weird edge cases you'll hit. - One bad write can blow up your pilot or renewal. - Once you finally get it working, someone changes a field and it breaks again. The world's data lives in structured databases. AI needs a translation layer to work with it. So, for your AI to truly transform the way enterprises work, you'll need deep integrations built for: - scoped permissions - bi-directional actions - real-time speed for agents - custom objects, fields, and workflows for each of your customers We built Ampersand to power the future of software. AI didn't trivialize writing integrations. It made them the critical path. I believe that deeply, so I didn't make a launch video about Ampersand. Instead, it's the best builders I know explaining just how big of a challenge this is.

  13. Hacker News：AI 热帖42

    Docusign Krew 智能体平台如何为工程师节省数千小时

    Docusign 内部智能体编排平台 Krew 已支撑 220 多个 Krewmates，数月内为工程师节省数千小时。员工无需代码或基础设施配置，通过系统提示词、技能文件、内置工具和触发器即可创建智能体。Krew 涵盖触发、编排、执行与结果持久化，可扫描错误日志、审查 feature flag、检查 pull request 并处理值班交接。

  15. Hacker News：AI 热帖47

    Show HN：AI Circuit Breaker，阻止 AI 智能体无限循环的反向代理

    AI Circuit Breaker 是一款可直接接入的反向代理，用于拦截 AI 智能体的无限工具调用循环，并按每小时 $2.00、每天 $10.00 的上限控制 API 支出。它基于 Python 和 FastAPI 构建，目标开销低于 35ms，请求检测使用易失性内存且不保存 payload；示例中可在第 3 次重复尝试时终止循环。

10月6日周二
  5. NVIDIA Blog39

    电信运营商为何将 AI 战略建立在开放模型之上

    NVIDIA 报告显示，89% 的电信业受访者认为开源模型和软件对其 AI 战略重要，开放模型在成本、定制、可信治理和灵活部署上具备五重价值。NVIDIA 推出 30B 参数的 Nemotron 3 Large Telco Model（LTM），并发布基于 NVIDIA NeMo 的端到端微调方案。SoftBank、AT&T、Indosat 等运营商正借助开放模型构建网络运维与本地化 AI 服务。

  8. Databricks：Blog（RSS）47

    在 Databricks 上扩展与运营大型 dbt 项目：IFCO 数据团队谈性能、可见性与调试

    IFCO 数据平台团队联合 Databricks Forward Deployed Engineering，将转换逻辑保留在 dbt 中并运行于 Databricks，通过调优增量设置与 Delta Lake 写入行为优化数据管道。核心语义层作业的每日运行时间缩短超过 60%，并停用了高成本的夜间全量刷新。该方案应对每日数十亿追踪事件、延迟数周至数月到达的数据及历史对账难题。

  14. Hacker News：AI 热帖56

    KCoral 发布面向智能体 GPU 编程的轻量级基准评测服务器

    KCoral 发布轻量级基准评测服务器，将 GPU 执行与智能体开发循环解耦，让多个智能体通过 HTTP 协议远程提交 kernel 评测并共享 GPU 池。它支持单 GPU、多 GPU 和多节点调度，提供请求级隔离、文件缓存、CPU 编译与 GPU 执行分离，以及封装 python、compute-sanitizer、ncu 等工具的 CLI。

  16. IT之家（RSS）58

    我国空心光纤在宁夏中卫智算中心间投入商用

    我国下一代通信关键技术空心光纤已在宁夏中卫相距30公里的智算中心间投入商用，传输时延与损耗下降30%以上。该光纤直径不足0.4毫米，内嵌20根微型玻璃圆柱，让光信号在接近真空的空气通道中传输，速度达到光速的99.7%，高于传统光纤约69.5%的物理极限，可提升跨区域算力网络传输效率。

  19. Databricks：Blog（RSS）60

    Databricks Runtime 推出 NEAREST BY 原生批量向量搜索连接

    Databricks Runtime 推出 NEAREST BY 连接语法，将批量向量搜索表达为原生 top-k ranking join，并在 Photon 中通过 SIMD 距离函数、融合 GEMM 算子和可选 IVF 索引执行。

    推荐理由：文章把批量向量搜索拆解为 top-k ranking join，并说明 Photon、GEMM 与 IVF 索引如何共同提升大规模批处理吞吐。

  22. Hacker News：AI 热帖53

    Volantis 完成 8800 万美元 A 轮融资，建设面向下一代 AI 的光子内存层

    Volantis 完成 8800 万美元 A 轮融资，由 Lachy Groom 和 Abstract Ventures 共同领投，资金将用于开发并商业化 A-1 推理系统、扩充工程团队及推进客户部署。A-1 计划支持超过 20 万亿参数模型，目标达到每用户 10,000 tokens 每秒，并通过连接计算芯片与内存的光子互连同时扩展容量和带宽。公司预计在 2027 年向客户交付首批集成推理引擎。