As the price of memory continues to skyrocket, and games become more and more demanding, it's fair to ask how much the RAM on your GPU actually matters. What's the right quantity? What about speed and ...

TL;DR: NVIDIA's Neural Texture Compression (NTC) combined with Microsoft's DirectX Raytracing 1.2 significantly reduces VRAM usage by up to 90%, improving game performance and lowering hardware costs.

Video Random-Access Memory (VRAM), is a vital component of your graphics card (GPU), designed to hold graphical data. Rather than transferring the information from elsewhere, the GPU can grab directly ...

Graphics card memory, or VRAM, has been a hot topic of discussion over the past few years because we're not really getting enough of it. It's crazy to think that 8 years ago, the GeForce GTX 1070 was ...

NVIDIA has officially launched its DLSS Transformer model as part of the 310.3.0 SDK, significantly advancing upscaling while reducing video memory requirements. This new approach directly tackles a ...

Nvidia has tweaked the latest version of DLSS so that it eats less of your graphics card memory than before, potentially giving your Nvidia GeForce graphics card a little more room to breathe. The ...

You can't download more RAM, but perhaps you can download a way to use less of it. Nvidia's neural texture compression technology, originally shown off at CES 2025 ...

TL;DR: NVIDIA's RTX Neural Texture Compression, enabled by DirectX 12's Cooperative Vectors, reduces VRAM usage up to 7X while enhancing texture quality for 4K gaming. This AI-driven technology ...

Rendering trees in 3D has always been a bit of a memory hog, but AMD seems to have chopped down the problem with a new technique called “work graphs”. According to the boffins at AMD, this method cuts ...

I was left quite surprised at the MSI Katana 15HX B14W's gaming performance, but I'm slightly worried about how long 8GB GPUs ...

As modern games push memory harder, choosing the right amount of RAM matters more than ever. With DRAM pricing in flux, we revisit the big question: ...