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#Deployment and engineering

All collected and published items, ordered by time. Picks are a selected subset.
10/2Fri
  1. Hugging Face Blog42

    ServiceNow CoreAI launches AutoSynthData to generate training data for enterprise agents

    ServiceNow CoreAI built AutoSynthData to find capability gaps from a target model's failures and a stronger teacher's successful trajectories, then generate and validate new tasks for post-training. As the model improves, the curriculum shifts to tasks that remain difficult. The process was demonstrated on the EnterpriseOps Gym dataset. Generated tasks must meet feasibility, realism, and difficulty requirements; validators must provide consistency, reliability, and completeness.

  2. AWS Machine Learning Blog32

    How Amazon Payments uses contextual multi-armed bandits on Amazon SageMaker AI to improve acquisition funnel conversion

    Amazon Payments used a multi-objective contextual multi-armed bandit (LinUCB) on Amazon SageMaker AI to personalize content in its product-acquisition funnel. In a seven-week online A/B test, one audience segment achieved a high-single-digit relative increase in final funnel conversion, while another showed no improvement. The team ran one LinUCB model for each stage—application start, submission, and approval—and linearly combined their UCB scores to optimize the full funnel. It open-sourced a repository that can be tried with synthetic data.

  3. AWS Machine Learning Blog36

    How to configure multi-environment access to Claude Platform on AWS

    A complete implementation for Claude Platform on AWS (CPonAWS) lets production AWS workloads, developer laptops, and external CI/CD systems share one subscription while isolating production and development traffic through workspaces. It uses three access paths: a dedicated AI Services account with cross-account SigV4, workspace-level API keys, and OIDC federation. External environments use short-lived credentials and require no persistent keys.

  4. AWS Machine Learning Blog34

    Build ambient agents with Amazon Bedrock AgentCore, from event-driven signals to human-in-the-loop workflows

    Amazon Bedrock AgentCore supports building 'ambient agents' that listen to event streams such as Amazon S3 event notifications, EventBridge rules, and Lambda triggers and perform tasks automatically. When needed, they pause for human approval through a single ask_human tool and resume from where they stopped.

10/1Thu
  1. Hugging Face Blog62

    AI2 releases Olmo-core 3, open and scalable training infrastructure for large MoE models

    AI2 released Olmo-core 3, a major upgrade to its large language model development framework. It redesigns the open MoE training system to scale MoE training to trillions of parameters while maintaining compute efficiency.

    Why it matters: The source provides throughput and memory comparisons for the MoE training stack, helping readers assess changes in the cost of large-scale MoE training.

  2. TechCrunch · AI42

    Photon raises $4.5 million seed round after holding a funeral for mobile apps, betting on agents instead

    Photon raised a $4.5 million seed round co-led by Gradient and A*, with participation from Vercel, Sequoia (HongShan), and others. The startup helps developers build agents for iMessage and WhatsApp and says it has attracted more than 40,000 registered developers. Revenue grew 10-fold in four months, and message volume grew fivefold last month. Its managed platform offers 99.95% availability and is certified for SOC 2 Type II and HIPAA compliance.

  3. NVIDIA Blog22

    How NVIDIA AI factories maximize ROI through high output, long life, and broad applicability

    NVIDIA says AI factory return on investment depends on three factors: output capacity, useful life, and demand. Its platform uses full-stack co-design to maximize throughput per megawatt. SemiAnalysis AgentX data show Vera Rubin NVL72 delivers more than 30 times the throughput per megawatt of GB300 NVL72 and, on DeepSeek V4 Pro, can reduce cost per million tokens by up to 45 times.

9/30Wed
  1. The Decoder70

    DeepSeek and Huawei release open-source programming tools for Ascend chips

    DeepSeek and Huawei partnered to build programming tools for Huawei Ascend chips and open-sourced them. The core is TileLang, a programming language originating with Peking University researchers. DeepSeek says its programming model is simpler than CUDA and that it has used TileLang for about a year as a main tool in its AGI work.

  2. NVIDIA Blog62

    NVIDIA and CoreWeave put Vera Rubin NVL72 into production; Cognition is first customer

    CoreWeave announced that NVIDIA Vera Rubin NVL72 systems and Spectrum-X 102.4T Ethernet are available on CoreWeave Cloud, making it one of the first cloud providers to deliver the platform. Cognition is the first customer to run Vera Rubin in production.

    Why it matters: CoreWeave launched Vera Rubin NVL72 and published measured Devin throughput, offering a view of compute costs for agentic coding workloads.

  3. TechCrunch · AI33

    Restate raises $20 million Series A as AI agents drive demand for durable infrastructure

    Berlin startup Restate raised $20 million in a Series A led by Singular, with Redpoint Ventures and Capital One Ventures participating. Restate provides a durable workflow execution engine that allows multi-step processes to recover after crashes and network interruptions. Its in-house storage, replication, and redundancy layers make systems faster and lighter. Replit is among its customers. The new funding will go toward building a go-to-market team, hiring engineers, and expanding its San Francisco Bay Area office.

  4. 量子位22

    Where is the next opportunity in industrial AI? Siemens Xcelerator and Aqiu Tech discuss scaling from 1 to 100

    QbitAI's interview program invited Gu Xin, who leads sales and ecosystem success for Siemens Xcelerator in China, and Huang Yao, founder and CEO of Aqiu Tech, to review the path from industrial AI deployment to scale. Huang used semiconductor wafer cutting as an example, saying that after introducing agent technology, equipment OEE and capacity can improve by about 25%. Gu said industrial AI must be reliable at an industrial level. Siemens Xcelerator aims to serve as a connector and amplifier, filling in the delivery and ecosystem pieces needed to scale from 1 to 100.

  5. 雷锋网80

    DeepSeek open-sources operator toolchain with native TileLang support for Huawei Ascend 950

    DeepSeek added native support for Huawei Ascend 950 NPUs to the TileLang operator-development toolchain and released Ascend versions of five compute and communication libraries: DeepGEMM, DeepEP, FlashMLA, TileKernels, and DeepSelect.

    Why it matters: This report outlines the scope of TileLang's native Ascend support and related operator libraries, showing current coverage in China's domestic compute toolchain.

  6. 雷锋网54

    How 5,500 optical engines support a 4,096-card supernode: Huawei's NPO story continues

    Huawei HiSilicon's in-house Hi-ONE optical engine will be deployed using NPO in the next-generation supernode. In the Ascend 960 supernode, 5,500 units will replace 48,000 pluggable 800G optical modules. The Lingqu interconnect equipment between racks supports 176 1.6T ports, with about 280T of all-optical interconnect bandwidth per machine.

  7. 雷锋网60

    Testing WorkBuddy, Qianwen Office, and Doubao Work: the same dirty data produces three different totals

    The author tested WorkBuddy, Qianwen Office, and Doubao Work using the same messy sales records and prompt. All three delivered an Excel file, a presentation, and a summary, but the highest quarterly total was 57.7% above the lowest. The difference came from how each handled orders with missing department data: exclude them, keep them, or mark them for verification.

  8. 雷锋网40

    Why do Kimi and DeepSeek appear in the same model-architecture diagram?

    Of the 45 layers in GLM-5.3-Flash, 34 use Kimi's KDA linear-attention approach and 11 use DeepSeek's KPool-DSA sparse attention. Linear and Sparse attention appear together in one model for the first time. The combination reflects a shift away from finding a single best mechanism toward assigning different roles: Linear maintains long histories at low cost, while Sparse retrieves specific information as needed.

  9. 量子位74

    DeepSeek open-sources Ascend foundation components to build an AI chip software ecosystem with Huawei

    On September 30, DeepSeek open-sourced foundational components for Huawei's Ascend compute platform, including the TileLang high-level language compiler, high-performance computing libraries, and distributed communication libraries. They correspond to components previously open-sourced for GPU platforms.

  10. Ollama · X42

    Ollama now supports Jev-like decision models all locally. Use decision models like Nimble for tasks like ticket triaging, model routing, and content moderation. ollama pull nimble Here’s Nimble playing Ollama racer through the new local /v1/systemone API by making decisions in real-time. 🏎️

    Ollama now supports Jev-like decision models all locally. Use decision models like Nimble for tasks like ticket triaging, model routing, and content moderation. ollama pull nimble Here’s Nimble playing Ollama racer through the new local /v1/systemone API by making decisions in real-time. 🏎️

  11. 雷锋网38

    Geely invests in NIO Power with E-Energy Connect shares and RMB 640 million for a 30% stake

    NIO and Geely Holding announced deeper charging and battery-swapping cooperation on September 28. Geely will take a 30% stake in NIO Power by contributing 100% of E-Energy Connect and RMB 640 million in cash. NIO China plans to take a 10% stake in Haohan Energy. After the transactions, NIO Power will have a post-money valuation of RMB 16 billion. The companies plan to build 10,000 battery-swap stations by 2030; the network's annual electricity demand is expected to exceed 10 billion kWh. They will also integrate charging assets and build stations combining solar, storage, charging, and battery swapping.