NVIDIA RTX Server

Accelerate the most demanding workloads with NVIDIA RTX Server, a highly flexible reference design that combines NVIDIA® RTX™ 8000 and NVIDIA RTX 6000 actively or passively cooled GPUs with NVIDIA virtual GPU software and leading third-party applications to deliver exceptional compute power in a validated server system. From virtual workstations and production rendering to scalable visualization systems or HPC, AI, ML, big data analytics, XR (extended reality with AR and VR) 5G enabled solutions, and at the edge deployment options, NVIDIA RTX Server validated systems deliver unprecedented performance at a fraction of the cost, space, and power requirements of traditional CPU-based solutions.

Power and Flexibility from Desktop to Data Center

NVIDIA RTX Server is a highly-flexible server reference design that can be configured to accelerate multiple workloads in the data center. Provision high-performance virtual workstations with NVIDIA vDWS, accelerate cinematic quality photorealistic rendering, enable AI/DL/ML/MV enabled applications, perform big data analytics, perform demanding CAE and simulation workflows, run scalable visualization systems or augmented reality (AR), virtual reality (VR) and mixed reality (MR) over emerging 5G networks, or provide computationally intensive at-the-edge solutions, all with a single, flexible products that’s available from leading OEMs and hardware systems integrators.

Offline Rendering

Render final frames and produce photorealistic images faster than ever before with the power of GPU acceleration by configuring NVIDIA RTX Server for rendering workloads. Combined with NVIDIA software, including NVIDIA OptiX™ and CUDA-X™ AI, and third-party RTX-enabled software, 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. With performance improvements up to 27x and cost advantages up to 8x over CPUs, NVIDIA RTX Server resets the economics of rendering across Media & Entertainment, Architecture, Engineering and Construction , and Manufacturing.

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Building the GPU-Accelerated Data Center

Attend this webinar with Brian Corn, Vice President of Product Integration at Thinkmate, and learn more about GPU-accelerated technologies.