News from the AI & ML world
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Nvidia's CEO, Jensen Huang, has stated that China is rapidly catching up to the U.S. in artificial intelligence capabilities. Huang emphasized that China isn't far behind, particularly in AI hardware development, where companies like Huawei are making significant strides. Huawei's advancements, including its Ascend 900-series AI accelerators and CloudMatrix 384 systems, demonstrate China's growing competitiveness. The CloudMatrix 384, featuring 384 dual-chiplet HiSilicon Ascend 910C interconnected via an optical mesh network, offers impressive computing power and memory bandwidth, rivaling Nvidia's offerings, though with lower efficiency. Huang acknowledged Huawei as a formidable technology company with incredible computing, networking, and software capabilities essential for advancing AI.
New tools are emerging to empower artists to harness the power of AI in image generation. NVIDIA has introduced a 3D Guided Generative AI Blueprint that provides a workflow enabling artists to precisely control object placement and camera angles using a 3D scene in Blender. This tackles the common challenge of achieving the desired composition and layout in AI-generated images. This AI Blueprint is pre-optimized for NVIDIA and GeForce RTX GPUs, built on NVIDIA NIM microservices to maximize AI model performance. The process involves converting a 3D viewport to a depth map, which guides the image generator (FLUX.1-dev) along with a user prompt.
For those looking to enter the AI job market, NVIDIA experts share several key tips. A diverse educational and professional background can be a valuable asset, enabling adaptability in the rapidly evolving AI field. Integrating AI into daily workflows, regardless of one's background, can help individuals stand out. It's also crucial to identify your passions within AI and gain experience in relevant domains such as autonomous vehicles, robotics, gaming, or healthcare. By aligning skills with specific AI applications, candidates can better position themselves for success.
ImgSrc: cdn.mos.cms.fut
References :
New tools are emerging to empower artists to harness the power of AI in image generation. NVIDIA has introduced a 3D Guided Generative AI Blueprint that provides a workflow enabling artists to precisely control object placement and camera angles using a 3D scene in Blender. This tackles the common challenge of achieving the desired composition and layout in AI-generated images. This AI Blueprint is pre-optimized for NVIDIA and GeForce RTX GPUs, built on NVIDIA NIM microservices to maximize AI model performance. The process involves converting a 3D viewport to a depth map, which guides the image generator (FLUX.1-dev) along with a user prompt.
For those looking to enter the AI job market, NVIDIA experts share several key tips. A diverse educational and professional background can be a valuable asset, enabling adaptability in the rapidly evolving AI field. Integrating AI into daily workflows, regardless of one's background, can help individuals stand out. It's also crucial to identify your passions within AI and gain experience in relevant domains such as autonomous vehicles, robotics, gaming, or healthcare. By aligning skills with specific AI applications, candidates can better position themselves for success.
ImgSrc: cdn.mos.cms.fut
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References :
- www.tomshardware.com: Nvidia's CEO says China is not far behind the U.S. in AI capabilities
- blogs.nvidia.com: As AI use cases continue to expand — from document summarization to custom software agents — developers and enthusiasts are seeking faster, more flexible ways to run large language models (LLMs). Running models locally on PCs with NVIDIA GeForce RTX GPUs enables high-performance inference, enhanced data privacy and full control over AI deployment and integration.