Local AI and GPUs

Memory, compute and the cost of running models yourself.

• How much GPU memory local LLMs needLocal LLM GPU memory needs depend on parameter count and precision; 2 GB per billion parameter rule at bfloat16 helps estimate, with quantization and context.
• CUDA compute capability explainedA guide to CUDA compute capability, how to find a GPU's version, and why it matters for CUDA, PyTorch, and machine learning.
• When renting a GPU beats buying oneHow to decide between renting and buying GPUs for local AI workloads, including compute capability, benchmarks, memory, and software.