NVIDIA showcases Neural Texture Compression at GTC 2026, cutting VRAM usage by up to 85% with real-time AI reconstruction.
Will AI save us from the memory crunch it helped create?
In its "Tuscan Wheels" demo, the company showed VRAM usage dropping from roughly 6.5GB with traditional BCN-compressed ...
Neural Texture Compression (NTC) could be a game-changer on par with DLSS if it can reduce the VRAM requirement for textures ...
Intel's Texture Set Neural Compression leverages AI to reduce the footprint of textures in games at install time or during ...
TSNC is being positioned as a practical path for developers who already ship BC-compressed assets and want to squeeze more data into the same storage, bandwidth, ...
Nvidia researchers have proposed a neural network-based method for compressing material textures that, in results reported in ...
NVIDIA shows neural rendering cuts VRAM use, reduces game storage, and improves performance without changing visual quality ...
Neural Texture Compression (NTC) optimized memory usage for either neural rendering or high-resolution texture and game data.
NVIDIA researchers have proposed a neural compression method for material textures that enables random-access lookups and ...
NVIDIA’s RTX 50 Series graphics cards have enough VRAM to load Gemma 4 models, and a range of others. Their Tensor Cores help ...
Apple Inc. Buy: discover how unified memory, on-device AI, and privacy drive Mac demand and high-margin services—I see ...