⚙️ MLOps - jinkai_lau · Scour

Dockerizing ML Models: A Data Engineer’s Guide to Model Serving 🧠LLMs

medium.com

·4d

Why Most ML Models Die After the Notebook (And How to Fix It) 🧠LLMs

photokheecher.medium.com·19h

AgentOpt v0.1 Technical Report: Client-Side Optimization for LLM-Based Agent 🤖AI Engineering

arxiv.org·1d

Building Scalable AI Workflows with Vertex AI Pipelines 🤖AI Engineering

medium.com·2h

MLOps in 2026: What Is It and Why Should You Care? 🤖AI Engineering

flexiana.com·23h

Inference Arena – new benchmark of local inference and training 📊Benchmarking

kvark.github.io·4d·Hacker News

Benchmarking LLMs with Marimo Pair 🧠LLMs

ericmjl.github.io·14h·Hacker News

The case for Model-as-a-Service over self-managed inference 🧠LLMs

news.ycombinator.com·3d·Hacker News

Model Packaging Tools Every MLOps Engineer Should Know 🧠LLMs

freecodecamp.org·3d

benchmarking inference of popular models on consumer hardware 📊Benchmarking

inferena.tech·5d·Hacker News

I Built a Production MLOps Platform from Scratch : Kubeflow, Kafka, Terraform, and Live on GCP ☸️Kubernetes

medium.com·6d

Overcoming inference challenges 🤖AI Engineering

redhat.com·3d

LLM inference engine from scratch in C++ 🧠LLMs

anirudhsathiya.com·4d·Hacker News

Show HN: Pre-training, fine-tuning, and evals platform 🤖AI Engineering

oumi.ai·6d·Hacker News

vLLM introduces memory optimizations for long-context inference 🧠LLMs

github.com·5d·Hacker News

Automate Your Data + ML Pipelines With Apache Airflow 🤖AI Engineering

gitanjalisoni.medium.com·5d

Fast Heterogeneous Serving: Scalable Mixed-Scale LLM Allocation for SLO-Constrained Inference 🧠LLMs

arxiv.org·8h

Awesome Open Source AI 🔬AI Research

awesomeosai.com·5d·r/SideProject

Blink: CPU-Free LLM Inference by Delegating the Serving Stack to GPU and SmartNIC 🧠LLMs

arxiv.org·8h

ai-infos/vllm-gfx906-mobydick: A high-throughput and memory-efficient inference and serving engine for LLMs - Optimized for AMD gfx906 GPUs, e.g. Radeon VII / MI50 / MI60 🧠LLMs

github.com·4d·r/LocalLLaMA

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