【英伟达发布RTX 500及1000 GPU,AIGC性能飙升1400%】全球领先的AI芯片制造商英伟达近日推出了其新一代NVIDIA RTX 500和1000 Ada系列消费级GPU,标志着移动设备上的生成式AI(AIGC)技术进入了全新阶段。据钛媒体报道,新款GPU专为轻薄型笔记本电脑等移动设备设计,旨在大幅提升AI处理效率。

英伟达宣称,与传统的CPU配置相比,RTX 500 GPU在运行如Stable Diffusion等AI生成模型时,性能可提升1400%,实现了AIGC性能的惊人飞跃。此外,该芯片在AI驱动的照片编辑任务中速度提升3倍,3D渲染图形性能提升10倍,显著提升了创意专业人士的工作效率。

值得注意的是,英伟达RTX 500作为入门级产品,不仅性能强大,而且价格亲民,将成为全球首款内置AIGC技术且价格最低的GPU芯片。这一举措无疑将AI技术的普及推向了一个新的高度,让更多用户能够享受到AI加速带来的便利和速度。英伟达的这一创新发布,无疑再次彰显了其在GPU领域的领导地位和对推动AI技术发展的坚定承诺。

英语如下:

**News Title:** “NVIDIA Launches RTX 500 & 1000 GPUs: AIGC Performance Soars 1400%,开创 Mobile AI Era”

**Keywords:** NVIDIA GPU, AIGC Boost, RTX 500 Launch

**News Content:** _NVIDIA Unveils RTX 500 and 1000 GPUs with a 1400% AIGC Performance Surge_Leading AI chip manufacturer NVIDIA recently introduced its latest consumer-grade NVIDIA RTX 500 and 1000 Ada series GPUs, ushering in a new era for generative AI (AIGC) on mobile devices. As reported by Titanium Media, these new GPUs are tailored for slim laptops and other mobile devices, aiming to significantly enhance AI processing efficiency.

NVIDIA claims that compared to conventional CPU configurations, the RTX 500 GPU delivers a staggering 1400% performance boost when running AI generation models like Stable Diffusion, marking a remarkable leap in AIGC capabilities. Additionally, the chip offers a 3x speed increase in AI-driven photo editing tasks and a 10x boost in 3D rendering graphics performance, significantly enhancing productivity for creative professionals.

Notably, the NVIDIA RTX 500, as an entry-level product, boasts impressive performance at an affordable price point, making it the world’s first and most cost-effective GPU with integrated AIGC technology. This move undoubtedly pushes the democratization of AI technology to new heights, enabling more users to benefit from the convenience and speed of AI acceleration. NVIDIA’s innovative release underscores its leading position in the GPU domain and its steadfast commitment to advancing AI technology.

【来源】https://www.tmtpost.com/6951700.html

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