Field-tested where possible · clearly labeled when not

The studio resource shelf.

Tools, services, and workflows that support the AI lab and game studio. Affiliate relationships can fund the work, but they do not turn an untested product into a recommendation.

Resource laneLive

AI infrastructure

Local GPUs, burst compute, servers, deployment, voice, storage, and the tradeoffs between them.

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Resource laneExpanding

Game-development stack

Engine workflows, UEFN experiments, world building, asset pipelines, testing, and production notes.

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Resource laneLive

Creator production

Media search, image and video tools, audio workflows, and direct software built inside the lab.

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Current infrastructure guides

Choose by workload, not logo.

These pages separate verified use, evaluation criteria, and pending tests. Commercial relationships are disclosed on the page where the link appears.

On-demand GPU compute

RunPod

Burst workloads that do not justify buying another GPU

Marketplace GPU compute

Vast.ai

Price-sensitive experiments with a reproducible workload

Voice generation and dubbing

ElevenLabs

Narration for tutorials, explainers, and product walkthroughs

Cloud servers and application infrastructure

Vultr

Hosting APIs, background workers, databases, and agent services

Approachable app and API deployment

DigitalOcean

First deployments of web applications, APIs, and background workers

Private AI & cloud GPU series

Tutorials for running AI on rented GPUs.

Run a Private LLM on a DigitalOcean GPU Droplet with Ollama

Size by VRAM, keep the API off the public internet with an SSH tunnel, and avoid the powered-off billing trap.

Google Drive to Cloud GPU: An rclone Pipeline for AI Video Jobs

Headless rclone auth, your own Drive client ID, upload limits, and a pull-process-push job you can destroy safely.

Cloud GPU vs Local RTX 3090 for AI

When to own compute, when to rent it, and which hidden costs belong in the comparison.

How Remote GPU AI Video Editing Works

Storage, job queues, GPU workers, checkpoints, and review in a remote AI video pipeline.

RunPod for AI Video Editing and Local AI Workflows

Where on-demand GPUs extend a local video workflow and what to measure before calling it cost-effective.

Deploy Your First AI App Without Overbuilding It

From a working local AI app to a secure public deployment with jobs, logs, limits, and rollback.

How to Host an AI API Without Building a Fragile Server

Queues, secrets, health checks, rate limits, backups, and recovery for AI APIs and agent services.

Local AI media workflows