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RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.

《深入理解 AI Infra:量化分析与系统设计》(李博杰 著)开源书稿:从硬件约束和模型架构出发,量化推导 LLM 推理与训练系统设计。含全书正文、PDF、配套计算工具与实验

  • accelerator
  • ai-infra
  • ai-infrastructure
  • book

🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.

Serve large Qwen models fast on the GPUs you actually own. Qwen3.8-27B on a single 24 GB card with vLLM: 127 tok/s single-user (381 when the answer quotes the prompt), ~1,035 tok/s at 64 concurrent, 150k-262k context. vLLM patches, requant pipeline, benchmarks.

Official SGLang x Datawhale course on LLM inference: understand inference, build a mini-sglang from scratch, then read the real SGLang source and land your first PR. Available in English and Chinese.

知らない分野を、原文にたどりつくまで芋づる式に掘る Claude Code のスキル

30 different honeypots in one package! (dhcp, dns, elastic, ftp, http proxy, https proxy, http, https, imap, ipp, irc, ldap, memcache, mssql, mysql, ntp, oracle, pjl, pop3, postgres, rdp, redis, sip, smb, smtp, snmp, socks5, ssh, telnet, vnc)

YAS3FS (Yet Another S3-backed File System) is a Filesystem in Userspace (FUSE) interface to Amazon S3. It was inspired by s3fs but rewritten from scratch to implement a distributed cache synchronized by Amazon SNS notifications. A web console is provided to easily monitor the nodes of a cluster.

🐍 CLI tool to find and delete unused Python virtual environments (.venv, poetry, conda, pipenv, uv). Reclaim disk space effortlessly — supports bulk delete, size reporting, and pycache cleanup.