Best NVMe SSDs for AI Workloads
Storage is the component most over-bought for AI. Weights load once and then run from memory — capacity, sustained writes and thermals matter far more than headline speed.
AI Gear Stack Editorial
The AI Gear Stack editorial desk. Articles published under this byline are researched, written and fact-checked by the editorial team against our published review methodology. Individual contributor profiles are added as named authors join the masthead — we do not publish under invented expert personas.
Best Mini PCs for Homelabs
Homelab nodes need I/O, cores, low idle power and working IOMMU — not memory bandwidth. Which mini PCs deliver that, what idle power really costs, and where people overspend.
Best Mini PCs for Local LLMs
Unified-memory mini PCs run 70B models no consumer graphics card can load. Which ones are worth buying, what they cost you in speed, and when a GPU is the better answer.
Best AI Workstations in 2026
Complete systems for local AI, chosen by what they can actually run. The decision is capacity against bandwidth — and which side you want depends entirely on your model size.
Best GPUs for Ollama: What Runs Fully on the GPU
Ollama runs on almost anything — the question is which models fit entirely in VRAM. Cards ranked by what they hold, with the offload behaviour that catches everyone out.
Best GPUs for Local AI in 2026
Graphics cards ranked by what they can actually run. Memory capacity decides what fits, bandwidth decides how fast — and neither appears in a gaming benchmark.
Ollama Hardware Requirements: What You Actually Need
What Ollama needs to run well — the real memory floor for each model size, which GPUs are supported on each platform, and how to tell whether it is using your GPU at all.
How Much VRAM Do You Need for Local AI?
The memory arithmetic behind local model hosting: how much VRAM each model size actually needs, how context length changes the answer, and why bandwidth decides everything after that.