AI How Generative AI is Revolutionizing Design

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Generative AI sets new standards—not only in terms of speed but also in accuracy and flexibility, allowing designers to develop complex 3D models and CAD designs.

AI-powered solutions are increasingly capable of proposing optimized designs, testing real-time alternatives, and automatically conducting simulations to identify weaknesses and suggest improvements. A key driver of this development is powerful GPUs and workstations, which can meet the high computational demands of generative AI. The combination of high-performance hardware and efficient AI software is already opening up entirely new possibilities for designers today: with generative AI, work in the field of design is becoming faster and more precise than ever before. It enables the rapid processing of large data sets and the derivation of concrete design proposals. Designers and engineers gain a "digital assistant" that also learns from captured data.

Acceleration Through Real-Time Optimization

One of the most significant advancements is the ability to make real-time optimizations to complex 3D models and CAD designs. Generative AI provides designers and engineers with the capability to create realistic representations in real time and can identify design patterns and suggest variations through data analysis, which directly impact the precision and functionality of a model. For instance, an engineer working on a complex machine component can review the effects of various design changes in real time. This reduces the need for lengthy iteration cycles and ideally leads to faster project completion.

Precision Through Data Analysis And Simulation

Generative AI can identify potential sources of errors during the planning phase through simulations and suggest appropriate corrections. Designers, for instance, can perform simulations in real time while working on their models. Additionally, thanks to data analysis, manufacturers can predict planned production downtimes, enabling more efficient work organization and time savings. Furthermore, generated 3D tutorials allow industrial companies to conduct analyses in augmented reality, leading to faster decision-making.

The Right Hardware for Generative AI

To leverage this AI capability, appropriate IT equipment is required. Nvidia graphics cards provide the necessary computing power to run various applications.

• The high-end GPU Nvidia RTX PRO 6000 Blackwell is recommended for the most complex workloads—from training domain-specific AI models to rendering design drafts with billions of polygons, and simulating real physical processes with greater accuracy and precision. With 4th generation ray-tracing cores, 5th generation tensor cores, and 24,064 CUDA cores featuring 96 GB of dedicated GDDR7 memory, this GPU effortlessly handles massive datasets and multi-billion parameter models while supporting seamless multi-app workflows, ranging from developing AI assistants and photorealistic visualization to AI-powered engineering simulations.

• The Nvidia RTX A1000 entry-level card is based on the Ampere architecture and is ideal as an entry solution for creating compelling visualizations and optimized AI workflows. This card is particularly suitable for designers and engineers who want to create CAD models and complex assemblies.

Nvidia has also developed several platforms for the industrial sector to maximize the potential of these GPUs. Particularly noteworthy is the collaborative platform Nvidia Omniverse Enterprise, which drives industrial digitization and enables scalable real-time visualizations and simulations. Nvidia AI Enterprise and Nvidia NeMo are ideally suited for creating and customizing foundation models for generative AI and pre-trained models.

Outlook: Trends And Developments

• In design and engineering, personalized and adaptive AI systems will increasingly be utilized. These systems can adapt to the specific style and requirements of each designer and create models tailored to individual preferences. This results in closer collaboration between humans and machines, with AI taking on an increasingly advanced role in the design processes.

• Another trend is the growing use of AI-powered design suggestions and the integration of augmented reality (AR), which enables realistic visualization of designs. Combined with generative AI, AR could soon be standardly integrated into workstations, allowing designers and engineers to test their designs in a simulated environment before they are actually built.

In summary, generative AI not only accelerates the workflows of designers and engineers but also elevates the quality and precision of their designs to a new level.

Thanks to the combination of advanced GPUs and corresponding tools, it will become possible to meet increasingly demanding design requirements and redefine the boundaries of design and engineering. As a long-standing partner in the Nvidia ecosystem, PNY Technologies provides tailored solutions for AI applications. These include RTX Professional GPUs for real-time visualization and AI acceleration, software solutions such as Nvidia Omniverse, Nvidia AI Enterprise, and Nvidia vGPU, as well as specialized AI workstations, Nvidia DGX, and Nvidia DGX Super-Pods. PNY thereby offers the complete AI infrastructure, including installation.

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