AI-generatedWhich server GPU is best for your use case?
GPU servers can support a wide range of applications, but choosing the right GPU depends on your specific requirements. This GPU comparison looks at…
AI-generatedCUDA is much more than a simple programming interface for graphics cards. Developed by NVIDIA, the platform provides the foundation for many AI frameworks and high-performance computing applications. In this article, you’ll discover how NVIDIA CUDA works, how threads, warps and…
AI-generatedAI GPUs have become essential in modern data centres. But how can their resources be virtualised effectively? This article explains the main approaches, outlines the technical differences between passthrough, vGPU and MIG, and helps you select the right solution for different…
AI-generatedModern NVIDIA GPUs consist of several specialised processing units designed for different workloads. CUDA Cores handle traditional graphics and compute tasks, Tensor Cores accelerate AI calculations, and RT Cores enable realistic ray tracing effects. But how do these core types…
AI-generatedMaximum performance for AI and HPC. With its innovative Hopper architecture, HBM3 memory and optimised computing power for accelerated computing, the NVIDIA H100 has set new standards for GPUs. In this guide, you can find out which technical highlights the H100 scores points…
AI-generatedThe NVIDIA H200 is a data centre GPU designed for AI and high-performance computing. Built on the Hopper architecture, it combines strong Tensor Core performance with large, high-speed HBM3e memory, making it well suited for memory-intensive workloads. However, the H200 also…