Which GPU Do You Need for AI? A Practical VRAM Guide
Open models have made it much easier to build products around language, image, audio and video generation. Running those models still involves a less straightforward decision: choosing the GPU that can handle the workload without making every test or inference request unnecessarily expensive.
This matters whether you are testing a RAG assistant, serving an LLM through an API, generating images in ComfyUI or building an AI video workflow. A GPU with too little memory may fail to load the model or force you to reduce the context length, batch size, resolution or number of video frames. A GPU with far more memory than the workload needs may run it successfully, but at a cost that is difficult to justify.
There is no single GPU requirement for “an LLM” or “an image model.” Hardware needs depend on the model, its precision, the inference framework, the size of the inputs and outputs,...
Copyright of this story solely belongs to hackernoon.com. To see the full text click HERE
