关于MM

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截止到 2024 年,有着超过 6 年的 AI Infra 的经验:

  1. 在 AI 算法公司 Unisound 负责 Atlas 超算平台的研发和运维,支持 NLP 以及 CV 模型训练。主要工作如下:
  1. 在 Unisound 从事 8 Bit 训练及推理优化工作,落地模型在 NPU 以及 NVIDIA Edge Device 的优化工作。

  2. 构建公有云大规模 AI 平台:

  1. 构建 FinOps 基础设施帮助公共云中的客户更轻松地管理优化云成本,提升云资源利用率:
  1. 负责在 GCP 上构建 Serverless Inference 平台 ModelZ, 提供极致的冷启动优化模型服务推理服务:
  1. 负责整个 Cloud Team, 构建向量数据库 VectorChord 的云服务以及客户支持 VectorChord Cloud

开源项目

🌱 目前专注在 MLOps 以及 FinOps 领域,贡献了一些开源项目:

  1. fluid Fluid, elastic data abstraction and acceleration for BigData/AI applications in cloud. (Project under CNCF)
  2. crane Crane is a FinOps Platform for Cloud Resource Analytics and Economics in Kubernetes clusters. The goal is not only to help users to manage cloud cost easier but also ensure the quality of applications.
  3. crane-scheduler Crane scheduler is a Kubernetes scheduler which can schedule pod based on actual node load.
  4. creator Creator is the brain of crane project, contains crane core algorithm module and evaluation module.
  5. openmodelz One-click machine learning deployment (LLM, text-to-image and so on) at scale on any cluster (GCP, AWS, Lambda labs, your home lab, or even a single machine).
  6. clusternet [CNCF Sandbox Project] Managing your Kubernetes clusters (including public, private, edge, etc.) as easily as visiting the Internet
  7. vectorchord Scalable, fast, and disk-friendly vector search in Postgres, the successor of pgvecto.rs.

推荐博客

TypeAuthor/CompanyBlog URL
InfraChris Riccominihttps://materializedview.io/
InfraJack Vanlightlyhttps://jack-vanlightly.com/
Math and Science苏剑林https://kexue.fm/
AI InfraColfaxhttps://research.colfax-intl.com/blog/
PostgresGabriele Bartolinihttps://www.gabrielebartolini.it/articles/
AISebastian Raschkahttps://magazine.sebastianraschka.com/archive?sort=new
AI AlgorithmTom Yehhttps://www.byhand.ai/
AI InfraChip Huyenhttps://huyenchip.com/blog/