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English => News => Topic started by: Redaktion on June 12, 2020, 13:34:28

Title: NVIDIA GeForce RTX 3090 could be the new Titan with 384-bit 24 GB GDDR6X VRAM and 350 W TGP; GA102 Founders Editions cards with an expensive cooling system to be based on the PG133 board
Post by: Redaktion on June 12, 2020, 13:34:28
An image of what appears to be the purported RTX 3080's heatsink has leaked online indicating that NVIDIA will be introducing a new dual-fan mechanism with a huge cooling block and at least four heat pipes with the upcoming Ampere GPUs. The top-end GA102 GPU will use the PG133 board for the Founders Edition of the RTX 3090, RTX 3080 Ti, and RTX 3080, which will use the new cooling system while AiBs are supplied with the PG132 board that allows for custom cooling designs.

https://www.notebookcheck.net/NVIDIA-GeForce-RTX-3090-could-be-the-new-Titan-with-384-bit-24-GB-GDDR6X-VRAM-and-350-W-TGP-GA102-Founders-Editions-cards-with-an-expensive-cooling-system-to-be-based-on-the-PG133-board.469523.0.html
Title: Re: NVIDIA GeForce RTX 3090 could be the new Titan with 384-bit 24 GB GDDR6X VRAM and 350 W TGP; GA1
Post by: chxei on June 12, 2020, 15:28:39
Better the high end video cards are, the worse is games optimised. And high end video cards are becoming very strong. Thats scary
Title: Re: NVIDIA GeForce RTX 3090 could be the new Titan with 384-bit 24 GB GDDR6X VRAM and 350 W TGP; GA1
Post by: RustyCrust on June 13, 2020, 05:41:39
Lol, that's not how it works buddy. Aside from the occasional rare shoddy port or poorly optimized indie title, the vast majority of AAA games have become more and more optimized each and every year. Newer APIs like DX12 and Vulkan have brought massive performance improvements that developers have just recently started to take full advantage of. Each new release of the Unreal engine adds more features and optimizations. Graphics effects which previously were thought to be unheard of rendering in real time now can be, not because of hardware, but because of software and rendering engine algorithmic efficiency.