OwnRig Editorial
Guides
Data-backed buying guides, tutorials, and explainers. Every recommendation links to real hardware with verified specs.
Explainer
Local AI vs Cloud: The Real Cost
A data-backed analysis of when running AI locally is cheaper than cloud. Break-even calculations by usage pattern, hidden cloud costs, and recommended local builds by budget.
10 min read·Mar 2026
Tutorial
The Complete Guide to Running LLMs Locally
Run large language models locally: hardware needs, Ollama and llama.cpp, model picks by use case, and quantization.
15 min read·Mar 2026
Explainer
VRAM: The Only Spec That Matters for AI
VRAM for local AI: what it is, why models need it, how quantization cuts requirements, and a VRAM table for major models.
11 min read·Mar 2026
Roundup
Best AI Hardware for Developers in 2026
Best AI GPUs in 2026: RTX 4060 Ti to RTX 5090, Apple Silicon M4 Max. Picks by budget, use case, and dev workflow. Complete build specs included.
13 min read·Mar 2026
Explainer
Do You Need a PC for Local AI?
Plain-language guide for non-technical readers: when ChatGPT-style cloud tools are enough, when a Mac or Windows PC makes sense, and when to skip the upgrade entirely.
8 min read·Mar 2026
Buying Guide
How to Buy an "AI PC" Without Getting Played
Decode AI PC marketing: three specs that matter, red flags on listings, and how to verify hardware against OwnRig model requirements before you checkout.
10 min read·Mar 2026
Explainer
Mac vs Windows for Local AI: A Beginner's Honest Take
No tribal wars: when Apple Silicon is the easy path, when a Windows desktop with an NVIDIA GPU wins, what unified memory means, and how to pick without drowning in forum fights.
9 min read·Mar 2026
Explainer
How we test: OwnRig's benchmark methodology
How OwnRig measures tokens per second, rates model compatibility, and keeps hardware data current. Our methodology, tools, and known limitations.
8 min read·Mar 2026
Tutorial
Running Gemma 4 locally: which GPU you actually need
Gemma 4 VRAM requirements for every variant: E2B, E4B, 26B-A4B, and 31B. Which GPUs can run each, what quantization to use, and the honest call on RTX 4060 vs RTX 4090.
10 min read·Apr 2026
Buying Guide
Best GPUs for Stable Diffusion, Flux, and SD3 in 2026
GPU requirements for SDXL, Stable Diffusion 3 Medium, SD 3.5 Large, and FLUX.1 Dev. Per-GPU performance verdicts for RTX 4060 Ti, RTX 4070, RTX 4090, and Apple Silicon.
11 min read·Apr 2026
Tutorial
Running Whisper locally: GPU requirements and setup
Whisper Large V3 and V3 Turbo GPU requirements, VRAM usage, and hardware recommendations. Any GPU with 4 GB handles it; here is what you actually need for production use.
8 min read·Apr 2026
Buying Guide
Mac Mini M4 for AI: which models run on 16 GB
Which AI models run on the Mac Mini M4 with 16 GB, 24 GB, or 48 GB of unified memory. Honest compatibility table, real quantization requirements, and the upgrade case for M4 Pro.
10 min read·Apr 2026
Explainer
What are diffusion language models?
Diffusion LMs rewrite text blocks in parallel, not one token at a time. What that means for VRAM, speed claims, and running Nemotron on a gaming GPU today.
8 min read·May 2026
Buying Guide
RX 9060 XT vs RTX 5060: which budget GPU wins for local AI?
Same $299 entry point, different ecosystems. We compare VRAM tiers, memory bandwidth, model counts from our compatibility matrix, and when AMD ROCm is worth the friction.
10 min read·May 2026
Explainer
Why your AI budget ran out in four months (and what to do instead)
Uber burned its entire 2026 AI budget by April. GitHub paused Copilot sign-ups. ServiceNow depleted its allocation early. Here's why token-based billing breaks every enterprise budget model you've ever used, and the structural fix that FinOps conversations keep missing.
12 min read·May 2026