At APY, we know that your projects always require more power, speed, and reliability. Whether you work in 3D creation, video rendering, artificial intelligence, scientific research, or engineering, the processor is the heart of your workstation. That's why we've chosen to integrate the latest AMD Ryzen Threadripper PRO 9000 WX series into our workstations and rack stations: an essential benchmark for demanding professionals.

We are pleased to announce a new important step in the history of our group: DATA FORGE, founded in 2016, has just acquired the company APY, created in 1998, as well as its subsidiary Image in Network.

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