Video RAM, also called VRAM, is memory that belongs to the graphics processor (GPU). It is separate from your system RAM and is used only for graphics and GPU workloads. Many people misunderstand what VRAM does, so this guide explains it in clear, accurate terms.
VRAM stores the data the GPU needs to draw images on your screen. This includes:
VRAM is not used for general programs, audio processing, realtime text, or normal Windows tasks. It is only used by the GPU for graphics or GPU-accelerated workloads.
System RAM is used by Windows and your applications. VRAM is used only by the GPU. Adding more VRAM does not increase system performance unless your workload specifically uses the GPU.
Examples of tasks that do NOT use VRAM:
These rely on CPU performance and system RAM, not VRAM.
VRAM is important only for workloads that rely heavily on the GPU. Examples include:
These tasks load large amounts of data into VRAM so the GPU can process it quickly. In these cases, more VRAM can improve performance or allow larger projects to run.
Most professional workloads do not use the GPU at all. For these tasks, VRAM size has no effect on performance. Examples include:
These rely on CPU speed, system RAM, and fast storage. A large GPU or high VRAM amount will not improve performance.
Integrated graphics share system RAM instead of having their own VRAM. This is perfectly fine for:
Dedicated GPUs have their own VRAM and are designed for heavier graphics workloads. They are useful when your software specifically uses GPU acceleration.
For court reporters and most professionals, VRAM is not a performance factor. CPU performance, system RAM, and fast NVMe storage matter far more.
In certain fields, the GPU is used as a compute engine, not just for graphics. Examples include:
These workloads use the GPU because it can perform many parallel calculations at once. VRAM is used to store the data the GPU is processing. This is very different from normal PC use.
If you are unsure whether your software uses the GPU, we can help you choose the right configuration for your workload.