NVIDIA introduces RTX 2000 Ada Generation GPU: A Game-Changer in Graphics

Generative AI is revolutionizing industries across the board, and businesses looking to harness its power need the right hardware to support their workflows. Enter the nVidia RTX 2000 Ada Generation GPU, a compact workstation powerhouse that combines the latest in AI, graphics, and compute technology. With up to 1.5 times the performance of its predecessor, the RTX A2000 12 GB, this GPU is designed to deliver exceptional results in professional workflows.

The capabilities of the RTX 2000 Ada open up a world of possibilities for professionals in various fields. Whether you’re crafting breathtaking 3D environments, streamlining complex design reviews, or refining industrial designs, this GPU ensures an AI-accelerated future without compromising on performance or capabilities. The demands of modern multi-application workflows, such as AI-powered tools and high-resolution content, require a GPU with ample memory. With 16 GB of memory, the RTX 2000 Ada allows professionals to leverage the latest technologies and tools for faster and more efficient work.

Powered by NVIDIA RTX technology, this new GPU brings graphics to life with impressive realism thanks to NVIDIA DLSS. With DLSS, users can enjoy ultra-high-quality, photorealistic ray-traced images that are more than three times faster than before. Additionally, the RTX 2000 Ada enables immersive experiences in enterprise virtual-reality workflows, making it ideal for product design and engineering design reviews. Its blend of performance, versatility, and AI capabilities empowers professionals across industries to achieve new levels of efficiency.

Architects and urban planners can accelerate visualization workflows and enhance design precision with the RTX 2000 Ada. Product designers and engineers using industrial PCs can iterate rapidly on designs with fast rendering and AI-powered generative design. Content creators can seamlessly edit high-resolution videos and images while using AI for realistic visual effects and content creation assistance. The RTX 2000 Ada also finds its place in vital embedded applications and edge computing, powering real-time data processing for medical devices, optimizing manufacturing processes with predictive maintenance, and enabling AI-driven intelligence in retail environments.

Leading companies have already recognized the potential of the RTX 2000 Ada. Dassault Systèmes, Rob Wolkers Design and Engineering, and WSP are among the first to tap into its power. Mark Kauffman, Assistant Vice President and Technical Lead at WSP, praises the GPU’s impressive features, compact design, and exceptional performance. Olivier Zegdoun, Graphics Applications Research and Development Director for SOLIDWORKS at Dassault Systèmes, highlights the benefits for SOLIDWORKS users, including excellent performance and the ability to work with larger datasets. Rob Wolkers, Owner and Senior Industrial Design Engineer at Rob Wolkers Design and Engineering, values the GPU’s next-generation architecture and large frame buffer for improved productivity in his everyday workflows.

The NVIDIA RTX 2000 Ada boasts a range of technologies powered by the NVIDIA Ada Lovelace GPU architecture. Its third-generation RT Cores deliver up to 1.7 times faster Ray Tracing performance, while fourth-generation Tensor Cores offer up to 1.8 times higher AI throughput. The GPU’s CUDA cores provide up to 1.5 times the FP32 throughput of the previous generation for significant improvements in graphics and compute workloads. With up to 2 times the power efficiency across professional graphics, rendering, AI, and compute workloads, the RTX 2000 Ada ensures optimal performance within a 70W power envelope. It also offers an immersive experience with up to 3 times better performance for virtual-reality workflows compared to the previous generation. The GPU’s 16 GB of memory provides an expanded canvas for tackling larger projects, along with support for error correction code memory for greater computing accuracy and reliability. DLSS 3 brings a breakthrough in AI-powered graphics, boosting performance by generating additional high-quality frames, while the AV1 encoder with AV1 support enables new possibilities for broadcasters, streamers, and video callers.

To complement the RTX 2000 Ada, NVIDIA has released the latest RTX Enterprise Driver, which enhances graphics workflows and supports the new GPU. Features include an AI-based dynamic range tone-mapping feature called Video TrueHDR, which expands the color range and brightness levels when viewing content in Chrome or Edge browsers. The driver also includes support for Video Super Resolution and TrueHDR in the NVIDIA NGX software development kit, allowing for enhanced video quality of low-resolution sources and easy conversion of SDR content to HDR. Other features in this release include TensorRT-LLM, which optimizes and accelerates inference performance for large language models, improved video quality and coding efficiency for video codecs, the ability to offload work from the CPU to the GPU for quicker task completion, and the display of GPU serial numbers in the NV Control Panel for easier registration to NVIDIA AI Enterprise and NVIDIA Omniverse Enterprise platforms.

The NVIDIA RTX 2000 Ada is now available through global distribution partners and will be available from Dell Technologies, HP, and Lenovo starting in April. If you’re attending Dassault Systèmes’ 3DEXPERIENCE World, be sure to check out live demos of Dassault Systèmes SOLIDWORKS applications powered by the NVIDIA RTX 2000 Ada at the Dell, Lenovo, and Z by HP booths. Don’t miss the Z by HP session where Rob Wolkers will discuss the workflow used to design NEMO, the supercar of submarines.

The NVIDIA RTX 2000 Ada Generation GPU is a game-changer for professionals looking to harness the power of generative AI. With its impressive performance, advanced architecture, and AI capabilities, it elevates workflows across industries, enabling professionals to achieve more without compromise.

Background Information

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About Dell:

Dell is a globally technology leader providing comprehensive solutions in the field of hardware, software, and services. for its customizable computers and enterprise solutions, Dell offers a diverse range of laptops, desktops, servers, and networking equipment. With a commitment to innovation and customer satisfaction, Dell caters to a wide range of consumer and business needs, making it a important player in the tech industry.

  

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About HP:

Founded by Bill Hewlett and Dave Packard in a garage in 1939, HP (Hewlett-Packard) is a global technology giant known for its pioneering innovations in computing and printing technology. With a legacy of over eight decades, HP has consistently delivered a wide range of high-quality products and services, including personal computers, printers, servers, and software solutions.

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About Lenovo:

Lenovo, formerly known as "Legend Holdings," is a important global technology company that offers an extensive portfolio of computers, smartphones, servers, and electronic devices. Notably, Lenovo acquired IBM's personal computer division, including the ThinkPad line of laptops, in 2005. With a strong presence in laptops and PCs, Lenovo's products cater to a wide range of consumer and business needs. Committed to innovation and quality, Lenovo delivers reliable and high-performance solutions, making it a significant player in the tech industry.

  

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About nVidia:

NVIDIA has firmly established itself as a leader in the realm of client computing, continuously pushing the boundaries of innovation in graphics and AI technologies. With a deep commitment to enhancing user experiences, NVIDIA's client computing business focuses on delivering solutions that power everything from gaming and creative workloads to enterprise applications. for its GeForce graphics cards, the company has redefined high-performance gaming, setting industry standards for realistic visuals, fluid frame rates, and immersive experiences. Complementing its gaming expertise, NVIDIA's Quadro and NVIDIA RTX graphics cards cater to professionals in design, content creation, and scientific fields, enabling real-time ray tracing and AI-driven workflows that elevate productivity and creativity to unprecedented heights. By seamlessly integrating graphics, AI, and software, NVIDIA continues to shape the landscape of client computing, fostering innovation and immersive interactions in a rapidly evolving digital world.

  

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Technology Explained

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Ada Lovelace: NVIDIA Ada Lovelace architecture is a new GPU architecture that delivers incredible performance for gaming, creating, professional graphics, AI, and compute. It features third-generation RT Cores, fourth-generation Tensor cores, and next-generation CUDA cores that enable revolutionary performance for ray tracing and AI-based neural graphics. It also supports new rendering features such as DLSS 3.0, RTX Remix, shader execution reordering, displaced micro-meshes, opacity micromaps, and Nvidia Reflex43.

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CPU: The Central Processing Unit (CPU) is the brain of a computer, responsible for executing instructions and performing calculations. It is the most important component of a computer system, as it is responsible for controlling all other components. CPUs are used in a wide range of applications, from desktop computers to mobile devices, gaming consoles, and even supercomputers. CPUs are used to process data, execute instructions, and control the flow of information within a computer system. They are also used to control the input and output of data, as well as to store and retrieve data from memory. CPUs are essential for the functioning of any computer system, and their applications in the computer industry are vast.

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DLSS: DLSS (Deep Learning Super Sampling) is an advanced AI-powered technology developed by NVIDIA that enhances real-time graphics rendering in video games and applications. DLSS utilizes deep learning algorithms to upscale lower-resolution images in real-time, resulting in higher-quality visuals while maintaining optimal performance. By harnessing the power of AI and deep neural networks, DLSS effectively boosts frame rates and image quality, enabling gamers to experience smoother gameplay and more immersive graphics without sacrificing computational efficiency. This technology has gained widespread recognition for its ability to deliver impressive visual fidelity and improved performance simultaneously, revolutionizing the way modern computer graphics are processed and displayed.

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GPU: GPU stands for Graphics Processing Unit and is a specialized type of processor designed to handle graphics-intensive tasks. It is used in the computer industry to render images, videos, and 3D graphics. GPUs are used in gaming consoles, PCs, and mobile devices to provide a smooth and immersive gaming experience. They are also used in the medical field to create 3D models of organs and tissues, and in the automotive industry to create virtual prototypes of cars. GPUs are also used in the field of artificial intelligence to process large amounts of data and create complex models. GPUs are becoming increasingly important in the computer industry as they are able to process large amounts of data quickly and efficiently.

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HDR: High Dynamic Range (HDR) is a technology used to create images and videos with a greater range of luminance levels than what is possible with standard digital imaging. It allows for a greater range of colors and details to be captured in an image, resulting in a more realistic and vibrant look.

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LLM: A Large Language Model (LLM) is a highly advanced artificial intelligence system, often based on complex architectures like GPT-3.5, designed to comprehend and produce human-like text on a massive scale. LLMs possess exceptional capabilities in various natural language understanding and generation tasks, including answering questions, generating creative content, and delivering context-aware responses to textual inputs. These models undergo extensive training on vast datasets to grasp the nuances of language, making them invaluable tools for applications like chatbots, content generation, and language translation.

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Ray Tracing: Ray tracing is an advanced rendering technique used in computer graphics to simulate the way light interacts with objects in a virtual environment. It traces the path of light rays as they travel through a scene, calculating how they interact with surfaces, materials, and lighting sources. By simulating the complex behaviors of light, ray tracing produces highly realistic and accurate visual effects, including lifelike reflections, shadows, and refractions. This technology enhances the overall visual quality of images and animations by accurately replicating how light behaves in the real world, resulting in a more immersive and visually stunning digital experience.

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RT Cores: RT Cores are a type of processor core technology that is designed to provide real-time computing capabilities. This technology is used in a variety of applications in the computer industry, such as embedded systems, robotics, and industrial automation. RT Cores are designed to provide fast and reliable computing performance, allowing for the execution of complex tasks in a short amount of time. They are also capable of handling multiple tasks simultaneously, making them ideal for applications that require high levels of multitasking. RT Cores are also used in the development of autonomous vehicles, as they are able to process data quickly and accurately. In addition, RT Cores are used in the development of artificial intelligence, as they are able to process large amounts of data quickly and accurately.

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Tensor Cores: Tensor Cores are a type of specialized hardware designed to accelerate deep learning and AI applications. They are used in the computer industry to speed up the training of deep learning models and to enable faster inference. Tensor Cores are capable of performing matrix operations at a much faster rate than traditional CPUs, allowing for faster training and inference of deep learning models. This technology is used in a variety of applications, including image recognition, natural language processing, and autonomous driving. Tensor Cores are also used in the gaming industry to improve the performance of games and to enable more realistic graphics.

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