Quadro in the Data Center

            From data science to virtual environments, enterprises are tackling larger, more complex workloads than ever before. Meet the most demanding visual computing challenges by bringing the power of NVIDIA Quadro RTX? GPUs and NVIDIA virtual GPU software to the data center. With advanced technology for AI, real-time ray tracing, and graphics, IT teams can deploy servers capable of a wide range of workloads at a fraction of the cost, space, and power requirements of CPU-based solutions.

            4438X全国最大

            The ray-tracing capabilities of NVIDIA RTX? help artists push the boundaries of content creation. Arnold GPU is now available and we’re excited to see how our users will take advantage of the unprecedented rendering speeds and amazing efficiency.

            — Chris Vienneau, Senior Director of Media and Entertainment Products, Autodesk

            Cinesite was proud to be an early partner with NVIDIA on the RTX platform, but we never expected results this dramatic. We can iterate faster, more frequently, and with higher quality. This will completely change how our artists work.

            — Michele Sciolette, CTO, Cinesite

            One of the biggest challenges in virtual production is achieving physically accurate lighting in real time. RTX enables real-time ray tracing within our Genesis platform, making photorealism possible for the first time ever live on set.

            — Francesco Giordana, Realtime Software Architect, MPC Film

            Accelerate Data Center Workloads

            Tackle the most graphics- and compute-intensive workloads with Quadro RTX-powered servers.

            Virtual Workstations

            Virtual Workstations

            • Access all of the benefits of the Quadro? platform in a virtual environment from the data center with NVIDIA Quadro Virtual Data Center Workstation (Quadro vDWS) software.
            • Tackle massive datasets, large 3D models, and complex designs with the scaled memory and performance of Quadro RTX 6000 or RTX 8000 GPUs with Quadro vDWS software.
            Rendering
            Image courtesy of Neoscape and Design by Safdie Architects.

            Rendering

            • NVIDIA? NVLink? delivers up to 96 gigabytes (GB) of GPU memory for IT-ready, purpose-built Quadro RTX GPU clusters that massively accelerate batch and real-time rendering in the data center.
            • Through the combination of RT Cores and Tensor Cores, the RTX platform brings real-time ray tracing, denoising, and AI acceleration, letting artists create photorealistic renders at a fraction of the cost, space, and power requirements of CPU-based render farms.
            AI and Data Science

            AI and Data Science

            • Combine Quadro RTX 6000 and RTX 8000 GPUs with NVIDIA vComputeServer software to run compute workloads like AI, data science, and deep learning in a virtual machine.
            • Leverage the NVIDIA CUDA-X AI? software stack and NGC? containers for GPU-accelerated data science tools.
            Mixed Workloads

            Mixed Workloads

            • Host virtual machines running diverse graphics, deep learning, and simulation workloads with a common data center infrastructure running on NVIDIA Quadro RTX GPUs with NVIDIA virtual GPU software
            • Run mixed workloads in servers to increase productivity, maximize GPU utilization and efficiency, and reduce data center costs.
            Augmented and Virtual Reality Over 5G

            Augmented and Virtual Reality Over 5G

            • Accelerate edge computing for graphics-intensive workloads with NVIDIA Quadro vDWS.
            • Deploy servers across 5G networks, leveraging the high bandwidth and low latency to create immersive augmented and virtual reality experiences.
            Simulation and Scientific Visualization

            Simulation and Scientific Visualization

            • Run large-scale simulations quickly and accelerate time to scientific discovery with GPU-powered parallel processing.
            • Combine Quadro GPUs and NVIDIA virtual GPU software to scale workloads according to size and complexity.

            Built for Professionals

            Bringing Quadro to the data center expands beyond groundbreaking hardware—it gives IT managers a complete visualization platform to simplify even the most complex deployments.

            • Quadro long-life drivers are engineered by NVIDIA and extensively tested and certified by major workstation OEMs to minimize interruptions and maximize productivity.
            • Certifications for over 100 professional applications guarantee hardware stability and performance.
            • Quadro vDWS software virtualizes any graphics application from the data center for increased security and easier management.
            • High-end Quadro graphics cards feature both active and passive thermal cooling to fit a variety of servers.
            • The NVIDIA Enterprise Management Toolkit (NVWMI) increases operational efficiency by easily and remotely deploying, configuring, updating, and monitoring Quadro solutions.
            • Enterprise-grade support from NVIDIA Quadro experts and long-life warranties deliver peace of mind.
            RTX Server  Validation Program

            NVIDIA RTX SERVER

            Quadro-powered servers can transform your data center infrastructure. Take visual computing to the next level with NVIDIA RTX? Server, a highly flexible reference design that features OEM server systems that have been tested and validated across a range of workloads. NVIDIA RTX Server-validated systems combine NVIDIA Quadro RTX GPUs with NVIDIA virtual GPU software and leading third-party applications for maximum performance and cost savings.

            Powered by the World's Most Advanced GPUs

            • Passive Thermal Solution
            • Active Thermal Solution
            RTX 8000

            Resources

            Specifications

            NVIDIA CUDA Cores 4,608 CUDA Cores
            Tensor Cores 576 Cores
            RT Cores 72 Cores
            Performance with NVIDIA GPU Boost NVIDIA CUDA Cores
            Interconnect Bandwidth (Bidirectional) 100 GB/s
            Memory 48 GB GDDR6
            Power Consumption 250 Watts
            Thermal Solution Passive

            Resources

            RTX 8000

            Resources

            Specifications

            NVIDIA CUDA Cores 4,608 CUDA Cores
            Tensor Cores 576 Cores
            RT Cores 72 Cores
            Performance with NVIDIA GPU Boost NVIDIA CUDA Cores
            Interconnect Bandwidth (Bidirectional) 100 GB/s
            Memory 48 GB GDDR6
            Power Consumption 250 Watts
            Thermal Solution Active

            Resources

            • Passive Thermal Solution
            • Active Thermal Solution
            RTX 6000

            Resources

            Specifications

            NVIDIA CUDA Cores 4,608 CUDA Cores
            Tensor Cores 576 Cores
            RT Cores 72 Cores
            Performance with NVIDIA GPU Boost NVIDIA CUDA Cores
            Interconnect Bandwidth (Bidirectional) 100 GB/s
            Memory 24 GB GDDR6
            Power Consumption 250 Watts
            Thermal Solution Passive

            Resources

            RTX 6000

            Resources

            Specifications

            NVIDIA CUDA Cores 4,608 CUDA Cores
            Tensor Cores 576 Cores
            RT Cores 72 Cores
            Performance with NVIDIA GPU Boost NVIDIA CUDA Cores
            Interconnect Bandwidth (Bidirectional) 100 GB/s
            Memory 24 GB GDDR6
            Power Consumption 250 Watts
            Thermal Solution Active

            Resources

            Quadro OEM Servers

            Advanced HPC
            Amax
            ASRock Rack
            Asus
            Boxx
            Colfax
            Dell EMC
            Equus Compute Solutions
            Exxact
            Fujitsu
            Gigabyte
            GPL Technologies
            Hewlett Packard Enterprise
            Hitachi
            Images & Technologie
            Inspur
            Lenovo
            Penguin Computing
            Quanta Computer
            Rave Computer
            Supermicro

            Find an NVIDIA Data Center GPU Partner

            Find a vGPU Certified Server Partner