Tagged deployment

Deploy the QM package to Fly.io or AWS from an organization deployment repo

Deploy TanStack Start apps to Cloudflare, Netlify, Vercel, Node or Docker

Build and deploy persistent autonomous agents and visual AI workflows with AutoGPT

Track ML experiments, manage model versions and deploy models with MLflow

Build terminal user interfaces with OpenTUI components, testing and deployment

Install and configure the categraf collector on Linux, Docker or Windows

Choose the right inference backend to deploy or serve a MiniCPM5 model

Run MiniCPM5 models on desktop and Android with Google LiteRT-LM

Run MiniCPM5 GGUF models on CPU or consumer GPUs with llama.cpp

Chat with MiniCPM5 in LM Studio using GGUF or Apple MLX and a local server

Run MiniCPM5 natively on Apple Silicon Macs with the MLX framework

Run MiniCPM5 on a laptop with Ollama using the released GGUF build

Serve MiniCPM5 over SGLang with prefix caching and tool-call parsing

Generate text with MiniCPM5 in a Python script using Hugging Face Transformers

Serve MiniCPM5 as a high-throughput OpenAI-compatible API with vLLM

Serve MiniCPM5-2B with vLLM-Ascend on Huawei Ascend NPU hardware

Run a pre-deployment checklist covering migrations, flags, CI status and rollback

Run a six step security and compliance checklist for deploying AI tools in China

Plan and coordinate deploying a model to Amazon SageMaker endpoints

Make sure a usable SageMaker execution role exists before deploying or training

Create SageMaker endpoints with autoscaling, alarms and tagging enabled by default

Pick the right serving container image for a model deployed on SageMaker

Build, deploy and debug apps on Hugging Face Spaces, including ZeroGPU

Run the Omnigent server and Postgres as a Docker Compose stack on any host

Turn an OpenAPI or Swagger spec into a deployed MCP server with mcp-use

Deploy and configure C2 frameworks like Cobalt Strike and Sliver for red teams

Create, edit and verify new or existing agent skills before deployment

Browse the 35 infrastructure abstractions for Webiny AWS deployments

Deploy and debug Webiny projects with local watch mode and environments

Verify a supplied proof-of-concept against fresh before and after deployments

Deploy before and after systems and build a live proof-of-concept for a regression

Install, deploy, validate and troubleshoot NVIDIA AI-Q Blueprint infrastructure

Build and deploy remote MCP servers with tools and OAuth on Cloudflare Workers

Deploy, promote and roll back Vercel builds and set up CI workflow files

Create Expo Router API routes that deploy on EAS Hosting

Write EAS workflow YAML files for Expo build and deployment pipelines

Ship Expo apps to the App Store, Play Store and web hosting

Split one app into independently deployed microfrontends with routing on Vercel

Deploy a runnable prototype with your preferred hosting tool and share the link

Deploy Temporal workers on AWS Lambda with the Worker Controller Instance

Manage Twilio numbers, messages, webhooks and deploys from the Twilio CLI

Read Vercel projects, deployments, env vars, domains and logs through the REST API

Deploy, link projects, read logs and manage domains with the Vercel CLI

Deploy a Python or Go backend with a Next.js frontend in one Vercel project

Run correct Wrangler commands to deploy Workers, KV, D1 and R2 resources

Deploy a pixel office dashboard that visualizes agent status and team activity

Deploy Cloudflare Workers and manage KV, live logs and account routing with Wrangler

Deploy AI sales reps that qualify leads and route buying signals to action

Add an in-game changelog screen with version numbers, deploy info and navigation