Search fresh public links, source activity, and post angles for Model Serving.
Fresh curated links around Model Serving are collected here so marketers can spot useful updates and turn timely ideas into posts faster.
Recent items include:
Recent curated links from global sources. Generate one free draft from any story, then use SocialBu to schedule and refine your content calendar.
Part 3 of the Understanding LLM Serving seriesContinue reading on Understanding LLM Serving »
What is llm-d? llm-d is an open source solution for managing high-scale, high-performance Large Language Model (LLM) deployments. LLMs are at the heart of generative AI – so when y...
Continue reading on Medium »
Multi-model LLM orchestration is the practice of routing AI requests to different models based on what each task needs — speed, cost, reasoning depth, or code quality. OpenRouter m...
In this post, we walk through how we fine-tuned Qwen 2.5 7B Instruct for tool calling using RLVR. We cover dataset preparation across three distinct agent behaviors, reward functio...
IntroductionContinue reading on Medium »
Last week I shipped a Model Context Protocol (MCP) server for my analytics SaaS. Now Claude Desktop, Cursor, and any MCP compatible client can query traffic, revenue, and funnel da...
The Model Context Protocol is quickly becoming the de-facto standard for AI tool integration — and the official Java SDK is already here. Here is what every backend developer needs...
You’ve done it. You spent weeks cleaning messy data, tuning hyperparameters, and finally, you see that beautiful 95% accuracy score in…Continue reading on Medium »
Deployment is not just about calling an API or hosting a model. It involves decisions around architecture, cost, latency, safety, and monitoring.
In this post, we demonstrate how to build a secure, complete LLM fine-tuning workflow that integrates Unity Catalog with Amazon SageMaker AI using Amazon EMR Serverless for preproc...
Originally appeared on RailsCarma – Ruby on Rails Development Company specializing in Offshore Development. Machine Learning is one...
In my previous post, I explained about enabling MCP server in D365FO. Initially I had an option for OpenAI models like GPT-* (GPT-4.1, GPT-5etc) The orchestration model is the core...
In this post, we demonstrate how to build AI agents using Strands Agents SDK with models deployed on SageMaker AI endpoints. You will learn how to deploy foundation models from Sag...
Originally appeared on dmitrytsepelev.dev.Like it or not, a lot of applications are adding AI–native features: anything related to automated answers, object classification, knowled...
Last year we spent $47,000/month on AI infrastructure for a single enterprise client. Today it's $8,200/month — same quality, same throughput. Here's exactly how we cut 80% without...
In this tutorial, we explore kvcached, a dynamic KV-cache implementation on top of vLLM, to understand how dynamic KV-cache allocation transforms GPU memory usage for large languag...
If you read my previous article on on-device AI in Android, you already know why running models locally matters: faster inference, better…Continue reading on Medium »
Unlike other years, building an artificial intelligence model is now simple for developers using well-defined architectures, pre-trained AI models, and a wealth of training resourc...
Gemma 4 MoE: frontier quality at 1/10th the API cost gemma4 #moe #llm #openweights #aiinfra Continuing from Part 1 — once you have a proper state machine architecture,...
I’m becoming more convinced that LLMs are moving toward the same structure as payment networks. The models will be incredibly important. But the largest value will not be captured...
<div><img width="300" height="211" src="https://blogs.vmware.com/wp-content/uploads/2026/02/Screenshot-2026-02-10-at-23.16.30.png" class=&quo...
Introduction If you've spent any time in software development, cloud engineering, or microservices architecture, the name Docker needs no introduction. But for those newer to the...
The first sign of product-market fit is not hype. It is when your pager goes quiet and your finance dashboard stops spiking.Continue reading on Medium »
Use SocialBu to discover ideas, generate post drafts, and schedule them across your social channels.