Before we start You need a PC with at least 8GB RAM (16 GB recommended to run 7B models efficiently) Nvidia GPU to run models (with official drivers) Linux/WSL installation Docker installed…
FPGA (Field-Programmable Gate Array) is a type of programmable hardware that can be configured to perform a wide variety of digital logic functions. In the context of artificial intelligence (AI), FPGAs can…
TPU (Tensor Processing Unit) is a specialized processor that is designed to accelerate machine learning workloads, particularly those used in neural networks. TPUs are similar to GPUs, but they are specifically designed…
GPU (Graphics Processing Unit) is a specialized processor that is optimized for performing the complex mathematical calculations required for graphics rendering. However, it’s also well-suited for other types of workloads that involve…
CPU (Central Processing Unit) is a general-purpose processor that can handle a wide variety of tasks, including running the operating system, handling input/output operations, and executing software programs. In AI, CPUs are…