
Fully Automated AI Inference on AWS, Azure, and Google Cloud with Pulumi
A zero-touch Ollama GPU inference server on AWS, Azure, or Google Cloud as one Pulumi program, with OIDC credentials from Pulumi ESC and no static keys.
Engin Diri
20 min read
A zero-touch Ollama GPU inference server on AWS, Azure, or Google Cloud as one Pulumi program, with OIDC credentials from Pulumi ESC and no static keys.
Engin Diri
20 min read
Deploy a self-hosted Hermes agent as one Pulumi program across Render, Modal, and Tailscale — a code-executing AI agent with nothing on the public internet.
Engin Diri
30 min read
Neo code reviews analyze pull requests against what Pulumi Cloud knows about your running infrastructure and leave feedback right in the PR.
Pulumi Neo Team
2 min read
The unit of work moved from the prompt to the loop. The five pieces of loop engineering, the memory that makes it compound, and what it won't do for you.
Engin Diri
9 min read
Self-host multimodal Gemma 4 on a Mac with Pulumi, llama.cpp, and Tailscale, using Unsloth's Gemma 4 12 B Q8 GGUF with a 128K context window.
Pablo Seibelt
7 min read
AI coding has two shapes: 2x is mostly prompting, 10x is mostly plumbing. The parallel coding playbook, translated to Pulumi.
Engin Diri
8 min read
In a large codebase, the model is the smaller variable. The harness around it does the work: CLAUDE.md, hooks, skills, LSP, MCP, subagents.
Engin Diri
11 min read
GPU clouds, MLOps platforms, and AI-powered infrastructure tools, compared. What each one is good at, where it falls short, and how to pick in 2026.
Alex Leventer
19 min read
Mention @pulumi-neo in GitHub or @Neo in your Slack workspace to bring Pulumi Neo into the threads where your team works on infrastructure.
Pulumi Neo Team
3 min read
Schedule any Neo task on a cadence. Drift checks, provider freshness, and encryption audits run themselves and deliver results as pull requests.
Pulumi Neo Team
3 min read