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In today's fast-paced, technology-driven world, real-time collaboration is key to unlocking creative potential across industries. ASUS GPU servers combined with NVIDIA® Omniverse™ Enterprise offer an unmatched solution for industries
looking to enhance all kinds of workflows. With real-time collaboration, enhanced processing power, and integrated tools, you can unlock new levels of productivity and innovation.
Let's explore how this powerful combination is shaping the future of design and production - and so much more beyond.
NVIDIA Omniverse Enterprise is realizing digital twin workflows by providing an open platform that fosters real-time, collaborative design across multiple industries. This platform connects global teams, allowing them to work together seamlessly, improving creativity and efficiency. If we take manufacturing automation as an example, Omniverse can deploy sensors and devices across the physical twin, we can capture a continuous stream of real-time data, such as temperature, vibration, and operational performance. This real-time feedback loop unlocks opportunities for mention specific innovation, e.g., predictive maintenance, real-time optimization, or autonomous control.
Harnessing the power of OpenUSD, NVIDIA RTX and generative AI, this innovative platform enables users to create cutting-edge 3D applications and tools tailored for digital twin use cases. By offering unified collaboration, it eliminates workflow silos and the challenges of import/export, creating a seamless environment for 3D design. With real-time rendering powered by NVIDIA RTX, users can achieve true-to-life simulations and visualizations, resulting in more accurate and immersive designs. Additionally, cross-disciplinary integration allows architects, product designers, and other professionals to collaborate effortlessly from any location, fostering a more cohesive and efficient creative process.
Software Development Kit (SDK)
Start developing custom applications and tools from scratch with Omniverse Kit SDK for local and virtual workstations. Deploy through your own channels, or deploy and stream via Omniverse Cloud platform-as-a-service (PaaS).
Application Programming Interfaces (APIs)
Easily integrate OpenUSD data interoperability and NVIDIA RTX physically based, real-time rendering directly into your applications, workflows, and services by calling Omniverse Cloud APIs.
NVIDIA Omniverse provides industry-specific advantages that improve efficiency, enhance creativity and foster global collaboration.
ASUS brings over 30 years of server expertise to support the demanding workloads of modern industries. ASUS GPU servers are designed to empower businesses to maximize the potential of NVIDIA Omniverse with scalable, high-performance solutions.
ASUS GPU servers provide up to 75%-faster processing, optimizing complex workloads in AR/VR, virtual production and 3D rendering.
Designed specifically for NVIDIA Omniverse, ASUS servers ensure that even the most intricate projects run smoothly and without delays.
Beyond servers, ASUS offers a complete suite of hardware, including monitors, workstations, and networking tools to create a fully optimized environment from servers to client devices.
Selecting the right ASUS GPU server depends on the specific needs of your industry and the complexity of your projects. Each model is tailored to different use cases, from AI-powered workflows to immersive virtual production.
A robust 7U NVIDIA HGX H100 server, engineered for enterprise-level generative AI and high-performance computing, featuring support for NVIDIA AI Enterprise and NVLink technology.
A powerful 4U GPU server, featuring 5th Gen Intel® Xeon® Scalable processors, tailored for enterprise AI workloads, HPC and machine-learning applications, supporting up to eight GPUs.
A versatile 4U GPU server, featuring 5th Gen Intel Xeon Scalable processors, designed for demanding AI workloads, HPC and machine-learning applications, supporting up to eight GPUs.
A cutting-edge 4U GPU server, powered by AMD EPYC™ 7004 processors, optimized for AI training, high-performance computing and versatile workloads, supporting up to eight NVIDIA GPUs.