🚀 Model Serving - nayyara.airlangga · Scour

Dockerizing ML Models: A Data Engineer’s Guide to Model Serving ⚙️MLOps

medium.com

·4d

RT by @awnihannun: A long time coming but new mlx-lm is here with better batching support in the server and Gemma 4. ⚙️MLOps

twitter.macworks.dev

·2d

Robust Length Prediction: A Perspective from Heavy-Tailed Prompt-Conditioned Distributions 🚀Speculative Decoding

arxiv.org·14h

Fast Isn’t Fast Enough: Redefining Metrics for Edge AI 🎮GPU Computing

semiengineering.com·1d

Unlock efficient model deployment: Simplified Inference Operator setup on Amazon SageMaker HyperPod 📝Infrastructure as Code

aws.amazon.com·3d

Principles of Mechanical Sympathy 🕸️Distributed Systems

martinfowler.com·3d·Hacker News, Hacker News

Joint Task Offloading, Inference Optimization and UAV Trajectory Planning for Generative AI Empowered Intelligent Transportation Digital Twin 🧠Inference Engineering

arxiv.org·14h

CoStream: Codec-Guided Resource-Efficient System for Video Streaming Analytics ⚡FlashAttention

arxiv.org·2d

Communication-free Sampling and 4D Hybrid Parallelism for Scalable Mini-batch GNN Training 🔢GEMM Optimization

arxiv.org·4d

Researchers waste 80% of LLM annotation costs by classifying one text at a time ⚙️MLOps

arxiv.org·3d

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