LM Studio Hardware Requirements
The requirements belong to the model, not the app — but LM Studio hands you the GPU offload slider Ollama hides, which changes how you size and troubleshoot a machine.
Local AI
Hardware requirements, memory maths and capability guides for running language and image models on your own machine.
Stable Diffusion GPU Requirements
What image generation actually needs, model by model — and why the answer changed when the 12-billion-parameter models arrived.
64GB vs 128GB RAM for Local AI: Which Do You Need?
The answer depends entirely on whether your GPU has its own memory. With a discrete card, 64 GB is ample. With unified memory, 128 GB is the difference between reaching 70B and not.
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.