— Chris Vienneau, Senior Director of Media and Entertainment Products, Autodesk
Accelerated Computing for Professional Visualization
High-performance visual computing in the data center.
From rendering and virtualization to engineering analysis and data science, accelerate multiple workloads on any device with GPU-accelerated NVIDIA-Certified Systems for professional visualization. A highly flexible reference design combines high-end NVIDIA GPUs with NVIDIA virtual GPU (vGPU) software, and high-performance networking empowers creators. These NVIDIA-Certified systems deliver exceptional graphics and compute power, enabling artists and engineers to do their best work anywhere. As a result, companies operate at a fraction of the cost, space, and power of CPU-based solutions.
GPU-accelerated NVIDIA-Certified Systems combined with NVIDIA RTX Virtual Workstation (vWS) software can simplify the deployment of a high-performance, cost-effective infrastructure. So companies get a tested and certified solution with industry-leading partners and ISV applications on trusted OEM servers. It enables professionals to do their work from anywhere while increasing productivity, improving data center utilization, and reducing IT and maintenance costs. Deploy powerful virtual workstations with support for NVIDIA RTX technology to deliver advanced graphics capabilities and tackle workloads ranging from interactive rendering to graphics-rich virtual workstations running design and visualization applications or game development.
Render final frames quicker or boost local workstation rendering performance with the power of GPU acceleration. By utilizing software accelerated by NVIDIA RTX™ technology, designers and artists can render jobs offline and produce final ray-traced images at a fraction of the time of traditional CPU-based render nodes. Even achieve fully interactive, photorealistic visualization in the application viewport by connecting to one or more servers to boost desktop performance.
Image courtesy of Image Engine ©NETFLIX.
Set up, test, and iterate on complex simulations faster with servers for professional visualization, which deliver the massive computing power needed to drive simulation and generative design software tools. When coupled with RTX vWS software, engineers can design by day and compute by night from anywhere. GPU-powered parallel processing accelerates 32-bit simulation codes, while the latest generation RT Cores and Tensor Cores help RTX technology-enabled applications render more physically accurate results faster. Combining multiple NVIDIA GPUs with RTX vWS allows engineers to run simulations more quickly, smoothly, and securely, processing higher-fidelity models in a virtual desktop infrastructure (VDI) environment.
Image courtesy of Altair
Data science requires powerful computing capabilities to turn massive amounts of data into valuable insights. With NVIDIA GPUs and RTX vWS, data scientists can provision multiple high-performance data science workstations to bring GPU-acceleration to their entire workflow in a virtualized environment, from data preparation and model training to visualization. NVIDIA CUDA-X AI™ and containers from the NGC catalog feature a collection of software-accelerated libraries like RAPIDS™ and XGBoost to completely transform data science and AI workloads, allowing data scientists to make predictions faster than ever before.
The journey from ideation to creation is a multi-stage process that requires close collaboration between design and development teams. With NVIDIA Omniverse™, a leading-edge digital collaboration platform, engineers and designers can simplify workflows for real-time graphics. Running the Omniverse platform with RTX vWS software streamlines 2D and 3D product pipelines for design teams working in various industries. Built around the latest industry standards for design collaboration, it lets you maintain live connections between industry-standard applications and NVIDIA Omniverse View.
Bringing GPU visualization to the edge requires expertise across cloud orchestration, virtualization, 5G network operations, and more. Accelerate time to visualization at the edge with servers for extended reality (XR) 5G multi-access edge computing (MEC), a full-stack hardware and software solution. By combining NVIDIA RTX GPUs with RTX vWS software and the NVIDIA CloudXR™ SDK, developers can securely run and scale XR applications to untethered devices across 5G networks anywhere.
Drive dynamic, large-scale environments with servers configured for scalable visualization, allowing professionals to easily deploy and manage large-display environments from the data center. So whether developing the next theme park attraction or creating multi-sided cave automatic virtual environments (CAVE), it’s easier than ever to drive the most immersive visual experiences.
Find out if your application is being accelerated by NVIDIA GPUs.
GPU Features | NVIDIA A40 | NVIDIA L40 | NVIDIA RTX A6000 | NVIDIA RTX 6000 Ada Generation |
---|---|---|---|---|
Architecture | NVIDIA Ampere Architecture | NVIDIA Ada Lovelace Architecture | NVIDIA Ampere Architecture | NVIDIA Ada Lovelace Architecture |
GPU Memory | 48 GB GDDR6 | 48 GB GDDR6 | 48 GB GDDR6 | 48 GB GDDR6 |
Max Power Consumption | 300 Watts | 300 Watts | 300 Watts | 300 Watts |
Thermal Solution | Passive | Passive | Active | Active |
Display Connector | 3x DisplayPort 1.4a (off by default) |
4x DisplayPort 1.4a (on by default) |
4x DisplayPort 1.4a (on by default) |
4x DisplayPort 1.4a (on by default) |
Resources | Learn more about NVIDIA A40 View NVIDIA A40 Product Brief (PDF 383 KB) View NVIDIA Data Center GPU Line Card (PDF 69 KB) |
Learn more about NVIDIA L40 | Learn more about NVIDIA RTX A6000 View NVIDIA RTX A6000 Data Sheet (PDF 393 KB) |
Learn more about NVIDIA RTX 6000 |
For a full list of NVIDIA-Certified servers, visit the Server Catalog.
NVIDIA L40, NVIDIA A40, RTX 6000 Ada Generation, and RTX A6000 GPUs are recommended for high-performance visualization workloads.
The solution has been tested across multiple workloads, including batch rendering, virtual workstations, scalable visual systems, collaborative AEC concept design, CAE/engineering simulation, and CloudXR multi-access edge computing (MEC). Best practices for each of these solutions are documented in the associated design guides, which can be found on our Professional Visualization Product Literature page.
The NVIDIA A40 and RTX A6000 fully support all editions of NVIDIA vGPU software, including RTX Virtual Workstation (vWS), NVIDIA AI Enterprise, and NVIDIA Virtual PC (vPC) and Virtual Applications (vApps) software. The NVIDIA L40 and RTX 6000 Ada Generation will have support for NVIDIA vGPU software in early 2023.
Systems are available directly from OEM and system integration partners.