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Labrish
Nyuuz
NVIDIA DLSS Transformer Model Reduces VRAM Requirements by 20% for 8GB GPUs
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[QUOTE="Munyaradzi Mafaro, post: 46985, member: 636"] NVIDIA plans to upgrade its DLSS technology from current neural networks to a new transformer system. The company expects this change to reduce memory requirements for graphics cards. Gamers who use cards with 8GB of memory or less will benefit most from these improvements. The new system recently finished its testing phase and shows promising results. NVIDIA released technical details about the upgrade through its programming documentation. Tests reveal the transformer model uses approximately 20 percent less video memory than the current version. This reduction remains consistent across different screen resolutions and gaming setups. The improvement will help budget gamers who cannot afford expensive graphics cards with more memory. NVIDIA has faced criticism for not supporting lower-end hardware recently. These memory optimizations represent a positive step for mainstream users. The transformer approach works differently than existing methods. It examines every pixel within each frame to determine which ones matter most for image quality. The system repeats this process across multiple frames to create sharper visuals. Engineers doubled the processing parameters and increased rendering calculations by four times. The enhanced processing power should deliver noticeably better upscaling performance. NVIDIA completed the beta testing program for the transformer model just days ago. The company expects to release an official update containing this technology within the next few months. Gamers can anticipate improved image quality alongside reduced memory usage. The update will arrive through regular driver releases. This represents one of the most significant DLSS improvements since the technology launched. [/QUOTE]
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Nyuuz
NVIDIA DLSS Transformer Model Reduces VRAM Requirements by 20% for 8GB GPUs
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