The year 2025 marks a new milestone in the history of artificial intelligence. With the emergence of ever more powerful models like GPT-4 Turbo, Claude 3, and Gemini 1.5, the generative AI ecosystem is experiencing explosive growth. While these tools are impressive in their capabilities, they also pose a major technical challenge: how can we provide the computing power needed for their training and deployment? The answer can be summed up in three letters: GPU.

Hosting a large language model (LLM) locally primarily depends on the performance of the graphics card (GPU). Here are the key factors to consider when choosing the right graphics card