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Bitwise and Otherwise: Understanding XOR Distance
4位二进制示例讲清XOR距离，搞懂P2P网络寻址的核心度量
Hello, I'm Maneshwar. I'm building git-lrc, a Micro AI code reviewer that runs on every commit. It is free and source-available on Github. Star git-lr…
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Unveiling the Depth-Performance Dilemma in Split-Federated Fine-tuning of LLMs
揭秘LLM拆分联邦微调中的深度-性能权衡，为分布式训练优化提供新视角。
arXiv:2608.22188v1 Announce Type: new Abstract: Split Federated Fine-tuning (SFF) is a promising paradigm for scaling Large Language Models (LLMs) by …
3
Federated Ensemble Forecasting Under Supply-Chain Market Volatility
用联邦集成预测应对供应链市场波动，应对需求非平稳分布有新思路。
arXiv:2608.21399v1 Announce Type: new Abstract: Supply chain forecasting systems increasingly operate under market shocks, non-identically distributed…
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国产“预制算力”来了：工厂预制率超90% 24小时内投运 交付效率提升70%
工厂预制率超90%、24小时投运，国产算力基础设施从“现场搭建”迈向“即插即用”，产业落地效率大幅提升。
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Pre-Compiled Pipeline Shards for Distributed LLM Inference on Intel AI PC Fleets
千亿级大模型推理下沉到PC集群，预编译管道分片让闲置AI PC变身分布式算力池，技术方案直击成本痛点。
arXiv:2608.19147v1 Announce Type: cross Abstract: Modern Intel AI PCs ship capable integrated GPUs and NPUs with 16+ GB of unified memory, and they sp…
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Belayer: Efficient Fault Tolerance for LLM Agentic RL Training
应对大模型智能体强化学习训练中的故障难题，为长时训练提供高效容错保障，值得关注。
arXiv:2608.14635v1 Announce Type: cross Abstract: Large language model (LLM) agents are increasingly trained with reinforcement learning in long-horiz…
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Evaluating Agentic Code Repair Capabilities in Distributed Systems
分布式系统bug修复遇上AI智能体，DDBench双条件评测揭示其真实能力边界。
arXiv:2608.14863v1 Announce Type: cross Abstract: LLM-based coding agents have advanced rapidly on single-process SWE tasks, with frontier models now …
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Show HN: A distributed experiment in structured prime search
把素数搜索变成分布式实验，看看你的CPU能算出多大的质数！
Article URL: https://github.com/max-russo-com/max-prime-challenge Comments URL: https://news.ycombinator.com/item?id=49331879 Points: 1 # Comments: 1
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Learning Latency-Aware Orchestration for Multi-Agent Systems
多智能体协作面临延迟挑战？这篇论文教你用学习驱动编排，显著提升系统响应效率。
arXiv:2601.10560v2 Announce Type: replace-cross Abstract: Multi-agent systems (MAS) coordinate multiple LLM-powered agents through structured workflow…
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InFactPlanner: Planning Sustainable Geo-Distributed LLM Data Centers
一份针对地理分布式大模型数据中心的可持续规划方案，直击算力扩张与能耗平衡的痛点。
arXiv:2608.12915v1 Announce Type: cross Abstract: The rapid growth of LLM inference is shifting sustainability concerns from one-time training to cont…
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The case for disaggregated LLM serving
把大模型推理拆成预填充和解码两段，用网络传KV缓存，破解长上下文延迟痛点，值得一读。
Article URL: https://blog.doubleword.ai/when-to-disaggregate Comments URL: https://news.ycombinator.com/item?id=49269470 Points: 4 # Comments: 0
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Scheduling Mixed RL Rollouts Beyond Prefix Locality
强化学习训练中混合rollout调度的新突破，跳出前缀局部性束缚，为分布式RL提速提供新思路。
arXiv:2608.11152v1 Announce Type: cross Abstract: Modern reinforcement learning (RL) post-training pipelines for large language models (LLMs) increasi…
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SCOUT: Symmetric Consensus Outlier Detection for Failure Localization in LLM Pre-Training
大模型预训练遇卡顿不知根源？SCOUT用共识异常检测精准锁定故障节点，摆脱同步困局。
arXiv:2608.11034v1 Announce Type: cross Abstract: In LLM pre-training, synchronization propagates rank-local stalls, slowdowns, and numerical errors i…
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Dual-Node NVIDIA DGX Spark over Tailscale: A Remote-Access Testbed for Distributed LLM Training and Cyber-Threat-Intelligence Fine-Tuning
用两台 NVIDIA DGX Spark 组远程集群，通过 Tailscale 打通分布式 LLM 训练与网络威胁情报微调，实操部署手册齐全。
arXiv:2608.07226v1 Announce Type: cross Abstract: Compact AI systems make local language-model experimentation increasingly accessible, yet practical …
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Show HN: Kimi K3 inference on about 100k PS3 nodes
把Kimi K3大模型分布到约10万台PS3主机上推理，物尽其用的分布式AI脑洞，值得一看。
I forked RAM coffers and implemented Kimi K3 on PS3, using one-layer-expert-per-node inference. Idea mine, used AI assistance to implement it. Inspire…
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openJiuwen发布业界首个企业级分布式蜂群架构，联合邮储成功落地金融生产环境
华为系开源AI Agent平台openJiuwen发布业界首个企业级分布式蜂群架构，与昇腾、鲲鹏算力亲和，已在邮储落地金融生产环境，规模化运行成本大降。
从「能用」走向「规模化落地」
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LLM Inference Under Bursty Workload Distribution: Modifying the WAIT Algorithm
应对突发推理负载，改进WAIT调度算法，提升LLM服务稳定性与吞吐量。
arXiv:2608.06135v1 Announce Type: new Abstract: Large Language Models (LLMs) such as ChatGPT and Claude are widely used for information retrieval and …
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自研高性能分布式解决方案，「芯晓科技」将芯片电源签核周期从几周缩短至几天 | 水下项目
芯片电源签核周期从几周缩至几天，芯晓科技自研分布式方案展现硬科技突破潜力。
一枚先进制程芯片从设计、验证，到流片、制造，需要经过上百个环节。其中电源签核（Sign-off）是设计流程最后的、也最重要的一环，相当于建造一栋大楼时对全楼供电系统进行竣工验收。 具体来说，电源核签是通过对电源网络的上亿个节点进行整体分析，测试供电网络的功耗、电压降与电迁移等表现，从而决定芯片能否顺…
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HN: I ran a 56M parameter LLM across three ESP32-S3 boards via ESP-NOW
在3块ESP32-S3开发板上用ESP-NOW分布式运行5600万参数LLM，低成本边缘AI新玩法
Article URL: https://github.com/wladimiravila/esp32s3-distributed-ai Comments URL: https://news.ycombinator.com/item?id=49111137 Points: 2 # Comments:…
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The path to artificial superintelligence
从分布式多智能体到超级智能的路径，却揭示了开源系统高达87%的失败率。
Imagine a healthcare system made up of multiple AI agents: one that manages symptom assessment, another scheduling, a third insurance, and a fourth ph…