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

Enhance your data processing with the NVIDIA HGX™ 7U APY AI SERVER. Featuring dual 5th Gen Intel Xeon Scalable processors and up to 8 NVIDIA HGX H100/H200 Tensore Core GPUs, it’s a game changer for AI and HPC.

APY workstations powered by 2nd Generation Intel Core Ultra processors offer a host of benefits for demanding professionals. Here’s a look at some of the key features of these processors.