NVIDIA and AMD’s Workstations Boost AI, Rendering, and Simulation Speed

nVidia and AMD have joined forces to bring advanced AI capabilities right to professionals’ desktops. By equipping a new line of workstations with NVIDIA RTX Ada Generation GPUs and AMD Ryzen Threadripper PRO 7000 WX-Series CPUs, these powerhouses enable professionals to efficiently handle resource-intensive AI workflows without relying on data centers or the cloud.

The combination of NVIDIA’s RTX GPUs and AMD’s CPUs provides the necessary power and performance for training smaller AI models, as well as local fine-tuning. This not only reduces the strain on data centers but also allows for local inferencing, making it ideal for small workgroups or departments. Additionally, these workstations offer up to 48 GB of memory in a single GPU, providing a cost-effective solution for reducing compute load on data centers.

When professionals need to scale their workflows from these workstations to data centers or the cloud, the NVIDIA AI Enterprise software platform ensures seamless portability. This flexibility allows professionals to easily transition between different computing environments as needed.

The RTX GPU and AMD CPU-powered workstations also excel in visual workflows, enabling highly interactive content creation, industrial digitalization, and advanced simulation and design. With accelerated computing power, professionals can tackle even the most demanding tasks in various industries, including architecture, manufacturing, media and entertainment, and healthcare.

The AMD Ryzen Threadripper PRO 7000 WX-Series processors deliver exceptional performance with up to 96 cores per CPU and industry-leading maximum memory bandwidth in a single socket. When combined with NVIDIA’s Ada Generation GPUs, these workstations offer unmatched power and performance, delivering up to 2x the performance in Ray Tracing, AI processing, graphics rendering, and computational tasks compared to the previous generation.

The Ada Generation GPUs, including the RTX 4000 SFF, RTX 4000, RTX 4500, RTX 5000, and RTX 6000, are built on the NVIDIA Ada Lovelace architecture. They feature advanced technologies such as third-generation RT Cores, fourth-generation Tensor Cores, and the latest-generation CUDA cores, providing professionals with the tools they need to tackle complex AI computing workloads.

Starting next month, professionals can get their hands on these new workstations from BOXX and HP, with other system integrators offering them soon. With NVIDIA and AMD’s collaboration, professionals can now harness the power of AI right from their desktops, revolutionizing the way they approach their work.

Background Information

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About AMD:

AMD, a large player in the semiconductor industry is known for its powerful processors and graphic solutions, AMD has consistently pushed the boundaries of performance, efficiency, and user experience. With a customer-centric approach, the company has cultivated a reputation for delivering high-performance solutions that cater to the needs of gamers, professionals, and general users. AMD's Ryzen series of processors have redefined the landscape of desktop and laptop computing, offering impressive multi-core performance and competitive pricing that has challenged the dominance of its competitors. Complementing its processor expertise, AMD's Radeon graphics cards have also earned accolades for their efficiency and exceptional graphical capabilities, making them a favored choice among gamers and content creators. The company's commitment to innovation and technology continues to shape the client computing landscape, providing users with powerful tools to fuel their digital endeavors.

  

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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 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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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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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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