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Is Nvidia yassifying games? #Vergecast
The Verge· 2026-03-21 16:00
Everyone loves it when I describe gamer technology. Basically, if you have Nvidia graphics card, your game can render frames at lower resolution and then pass it through DLSS, which uses AI to upscale the games. And this is more efficient in a lot of different ways.Allows you to get higher resolution, higher frame rates on lower end graphics card. Again, I think it's a very clever use of the technology and until yesterday was not the world's most controversial thing Nvidia had ever done. You've seen a lot o ...
RIP Trifold | The Vergecast
The Verge· 2026-03-20 12:01
Welcome to the Vergecast, the flagship podcast of the Vergecast producer job that is now open. I'm your friend David Pierce. Neil Patel is here.>> I'm going to apply for that job. I think that job might be easier than my job. >> We are hiring I I I want to get this out of the way right up top because we haven't mentioned it on the show yet because we are terrible people.We are hiring a producer to come work on the Vergecast with us. You can go to voxdmedia. com/job.Apply. Mention Brendan Carr in your cover ...
黄仁勋:没有这颗GPU,就没有AI
半导体行业观察· 2026-03-13 01:53
Core Viewpoint - The release of the GeForce 3 GPU marked the beginning of the artificial intelligence revolution, transitioning NVIDIA from fixed-function accelerators to programmable shaders, allowing developers greater control over game aesthetics [2][3]. Group 1: Historical Context and Technological Evolution - Jensen Huang highlighted that the limitations of fixed-function accelerators in the late 1990s led to a significant transformation in NVIDIA's approach, enabling a shift to programmable vertex and pixel shader architecture [2]. - The introduction of CUDA was facilitated by this new programming paradigm, which introduced parallel computing capabilities for GPU computing [2][3]. Group 2: Artistic Expression in Gaming - Huang emphasized that gaming serves as a medium for artistic expression, necessitating the ability to programmatically convey artistic elements, which was previously constrained by the lack of robust compiler technology [3]. - The transition to programmable hardware pipelines was crucial for NVIDIA's evolution into a computing company [3]. Group 3: Advancements in Graphics Technology - NVIDIA's pioneering efforts in ray tracing technology, which is computationally intensive, have paved the way for advancements like DLSS (Deep Learning Super Sampling), introducing generative capabilities to computer graphics [3]. - Continuous improvements in computing and rendering capabilities are seen as foundational for the development of generative AI technologies [3]. Group 4: Future Outlook - Despite the advancements in computer graphics technology, the outlook for the gaming industry and NVIDIA's prospects appears less optimistic at present [4]. - NVIDIA is actively working to break traditional computing barriers by developing AI-driven techniques for frame generation, reducing the need for extensive hardware [4].
英伟达的这颗芯片,延期了
半导体行业观察· 2025-07-16 00:53
Core Viewpoint - Nvidia's CPU development has faced multiple setbacks, leading to delays in the launch of its N1/N1X chips, which are now expected to debut in late 2026 [3][4][9] Group 1: Issues and Delays - Nvidia's initial timeline for the N1/N1X chips was set for early 2026, but has been pushed back multiple times due to various issues, including a recent problem that may require modifications to the silicon [3] - The company has publicly blamed Microsoft for delays, despite having resolved earlier issues without needing a chip redesign [3][4] - The latest performance forecasts indicate that the N1x prototype scored 3096 in single-threaded and 18837 in multi-threaded tests, but OEM partners may need to adjust their plans due to these delays [4] Group 2: Competitive Landscape - Nvidia has historically not focused on consumer-grade SoCs, unlike competitors such as AMD, Intel, and Qualcomm, which have launched their own consumer-oriented chips [5][6] - The success of the Nintendo Switch 2 has shown that older architectures can still perform well in gaming, suggesting Nvidia could leverage its technology in the consumer market [5][6] - Nvidia's DLSS technology has become a significant competitive advantage, enhancing gaming experiences and potentially driving sales of its GPUs [7][8] Group 3: Future Prospects - The N1X chip is seen as a potential turning point for Nvidia, marking its first significant push into the consumer SoC market in years [9] - The company has shifted much of its focus to AI infrastructure, but the N1X could represent a return to innovation in the consumer hardware space [8][9] - If the N1X is successfully launched, it could be a groundbreaking product for Nvidia, appealing to both gamers and general consumers [9]