Nvidia GeForce RTX 3000 graphics cards are far from playing.
Laptops with discrete Nvidia GeForce RTX 3000 graphics are a sought-after weapon for all gamers, but the performance and capabilities of these GPUs go far beyond the world of entertainment. They are also invaluable for engineering and science students who will encounter many performance-intensive programs where the powerful GPU plays a vital role in how quickly and well the computer handles the tasks and activities it needs. requires.
GPU skills are often discussed in the context of creative pursuits and content creation, but you also need them when working in engineering, engineering, and science, sometimes referred to as STEM. These include, in addition to science and mathematics, mechanical and electrical engineering, construction and architecture – in which the link between GPU acceleration and CAD software, which is the daily bread of these industries , is well known.
Engineering, architecture and CAD
GeForce graphics can accelerate, for example, SolidWorks, a leading CAD and modeling software widely used especially for engineering applications, or ANSYS Discovery, another important tool for designing, modeling and simulating engineering. ‘a variety of mechanical, structural and electrical equipment, including physical modeling.
Laptops with Nvidia graphics such as the GeForce RTX 3060 or RTX 3080 can speed up rendering in SolidWorks up to 20x compared to regular laptops. And in ANSYS Discovery, work can be up to 4 times faster.
But the acceleration of the Nvidia GeForce RTX 3000 GPU can also be used in other CAD applications, such as PTC Creo, Rhino 7 or in the field of architecture and construction in the widely used CAD programs Autodesk Revit , Bentley MictoStation or Enscape.
To choose: Powerful laptops with Nvidia GeForce RTX 3000 graphics cards.
Simulation in science
But powerful calculations have their place in more scientific fields, in physics, mathematics and science, where you may encounter tasks such as physics simulations. These require a lot of computational resources, which today are provided to individuals by modern GPUs, which effectively accelerate these applications.
GeForce graphs are also useful for more general mathematical problems and numerical calculations, such as the widely used MATLAB software, a standard for scientific and engineering calculations and program-oriented programming. A laptop with a GeForce RTX 3060 graphics card, for example, can be more than 3 times faster in MATLAB and with the GeForce RTX 3080 even up to 5 times faster than a regular laptop.
Data science, not forgetting artificial intelligence
Likewise, GPU acceleration is very useful for simulations in other areas (like economics). And, of course, for students of computer science, like data science, where powerful Nvidia GeForce RTX GPUs help analyze large datasets faster. Or artificial intelligence and machine learning, which Nvidia GeForce GPUs are almost made for and there’s one area where you can use them today perhaps the most of all.
Students working with artificial intelligence will receive top-notch development support using standard PyTorch or TensorFlow tools for AI development, and of course support for other technologies such as Windows ML or MxNet , where Nvidia GPUs with CUDA acceleration are standard. However, Nvidia GeForce RTX GPUs are also useful, for example, for data science in RAPIDS software or for statistical data analysis using the R programming language.
3D visualization
Acceleration on GeForce RTX 3000 graphics saves hours of valuable time, even when working with a variety of visualization and rendering software, on which their graphics architecture with ray tracing support is directly realized. These can be the architectural applications mentioned above, or LumenRT, but also the more general Blender, in which you can use a number of existing tutorials and instructions.
A laptop with a GeForce RTX card will naturally also be used when working on the frontier or directly related to game graphics and 3D visualizations, such as the Unity and Unreal Engine, which the GeForce RTX 3000 GPU can naturally use first class. At the same time, however, they are now also used for other production purposes, such as commercial visualizations, so it is far from just a realm of games.
Study and career afterwards
Students who work or start working in one of these fields will generally sooner or later start working with the software and tasks that are performed in practice in these fields, which also means the demanding software and calculations mentioned above. on it – whether homework, seminar papers or important final projects, term papers, etc.
Equipped with modern high-performance GPUs, Nvidia GeForce RTX can make it much easier to work on various student tasks (but later also work) thanks to the significant time savings that high-performance GPUs can implement. Nvidia GeForce RTX graphics cards enable very good performance integration in a large number of important applications and software used in the field, with which STEM students come into contact.
At the same time, the laptop with GeForce RTX 3000 will also be perfect for entertainment, gaming or creative and hobbies, so you don’t have to worry about whether you need to invest money for that your computer helps you study and enjoy your leisure time. Nvidia’s graphics performance serves both at the same time.
To choose: Powerful laptops with Nvidia GeForce RTX 3000 graphics cards.
Better remote collaboration
GeForce RTX 3000 graphics cards in laptops ideal for students traveling between home, college, and even the dorm or private home, but won’t find use just in actual work on science or engineering tasks .
Especially today, top-notch collaboration and communication skills also stand out. Nvidia GeForce RTX GPUs let you use advanced Nvidia Broadcast tools to improve PC telecommunications, so you can suppress background interference in noisy environments and work remotely from virtually anywhere. Even video conferencing with the camera on isn’t a problem, as Nvidia Broadcast can also clean up the image and use a virtual background instead of a dorm or study room, or even a park or a bus.
Nvidia Omniverse Next Generation Technology
Nvidia Omniverse technology is almost a look at the future of collaboration in technical fields, but it’s actually bringing that future to life now. Omniverse creates a shared environment for engineering design, modeling, design and 3D simulation, in which it is possible to work remotely with many colleagues as easily as in collaborative online document editing.
What’s the potential, Nvidia, in collaboration with BMW, demonstrated in a demo an in-depth simulation of how the futuristic technology works, based on Omniverse technology, in which engineers can work virtually in a full range of BMW cars.
This vision combines 3D graphics and simulation technologies, virtual reality, as well as artificial intelligence and robotics, all based on acceleration on powerful GPUs.
You can see a wide selection of powerful laptops with Nvidia GeForce RTX 3000 graphics cards on Alza.cz.