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NVIDIA Introduces Laptops with New GeForce RTX 40 Series GPUs

Báo Thanh niênBáo Thanh niên21/09/2023


Laptop models currently on the market that have NVIDIA GeForce RTX 4050 GPU (Acer Swift X 14) RTX 4060 (Asus Vivobook Pro 16 OLED, MSI Creator Z16 HX Studio 063VN, MSI Creator 14 Studio A12VF-051VN) and RTX 4070 (MSI Steath 16 Studio 057VN) possess pioneering technologies for learning, working and entertainment based on NVIDIA platforms, as well as new trends that are dominated by artificial intelligence (AI).

Mr. Pham An Duong - NVIDIA's consumer marketing manager in Vietnam and Cambodia said that in Vietnam, there are about 750,000 people studying in the STEM field ( Science , Technology, Engineering and Mathematics). Laptop models equipped with GPUs from NVIDIA have helped accelerate AI performance in STEM applications by 1.7 times, gaming performance by 3.1 times and creativity by 3.4 times.

NVIDIA giới thiệu các laptop dùng GPU GeForce RTX 40 Series cho ngành STEM - Ảnh 1.

Mr. Pham An Duong pointed out the learning needs of the STEM industry with laptops using RTX GPUs.

Interactive visualization, real-time processing for faster design and visualization through high-fidelity AI and big data models. STEM students will then complete work quickly, spend more time studying and less time waiting.

The NVIDIA Studio platform also powers creativity in and out of the classroom with accelerators, drivers, and exclusive tools including NVIDIA Omniverse, Canvas, and Broadcast. NVIDIA GeForce RTX laptops feature dedicated hardware to accelerate 3D design, photo editing, and 8K HDR high-resolution video .

NVIDIA giới thiệu các laptop dùng GPU GeForce RTX 40 Series mới - Ảnh 2.

Some laptop models are equipped with NVIDIA GPUs

In addition, NVIDIA also invited experts and professors currently working and teaching in the STEM and AI fields to share their experiences on computers equipped with GeForce RTX 40 Series to support work on the YOLO v7 creative working platform, Stable Diffusion. These are applications that require high, efficient and fast AI processing capacity that normal computers can hardly meet.



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