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HPE R1F97C Nvidia Quadro Rtx8000 Gpu Module

The HPE R1F97C Nvidia Quadro RTX8000 GPU Module is engineered for high performance and advanced graphics rendering. Featuring the powerful Nvidia Turing architecture, it delivers real-time ray tracing, AI acceleration, and enhanced rasterization for groundbreaking visuals and compute workloads. With an expansive 48GB of GDDR6 memory, it supports complex simulations and massive datasets effortlessly. Ideal for creative professionals, this GPU module enables the creation of stunning, photorealistic imagery and provides the computational power for AI-driven applications.

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HPE R1F97C Nvidia Quadro Rtx8000 Gpu Module

Features

  • Built for advanced graphics and compute workloads
  • Equipped with NVIDIA Turing architecture
  • 48 GB GDDR6 memory for high-performance processing
  • Support for CUDA, DirectCompute, OpenCL, and OpenGL
  • NVIDIA NVLink technology to combine multiple GPUs
  • AI-enhanced graphics and compute applications
  • Advanced multi-display technologies with support for up to 4 monitors
  • Real-time ray tracing capabilities

Technical Specifications

  • GPU Architecture: NVIDIA Turing
  • CUDA Cores: 4608
  • Tensor Cores: 576
  • RT Cores: 72
  • GPU Memory: 48 GB GDDR6
  • Memory Interface: 384-bit
  • Memory Bandwidth: 672 GB/s
  • Display Connectors: 4x DisplayPort 1.4
  • Form Factor: Full Height, Full Length (FHFL)
  • Cooling: Active Fan
  • Maximum Power Consumption: 260 Watts
  • Power Connectors: 1x 8-pin
  • NVLink: Yes, up to 2 GPUs
  • Multi-Display: 4 displays
  • Supported APIs: CUDA, DirectCompute, OpenCL, OpenGL, Vulkan
  • Dimensions: 4.4 x 10.5 inches (H x L)
  • Weight: Approximately 1.5 kg

Frequent Ask Questions

  • What is the HPE R1F97C Nvidia Quadro RTX8000 GPU Module?

    The HPE R1F97C Nvidia Quadro RTX8000 GPU Module is a high-performance graphics processing unit designed for professional applications requiring advanced rendering capabilities, AI, and data visualization.

  • What are the key features of the Nvidia Quadro RTX8000 GPU?

    Key features of the Nvidia Quadro RTX8000 GPU include 48 GB of GDDR6 memory, real-time ray tracing, deep learning and AI-enhancement capabilities, advanced shading technologies, and support for up to four 8K displays.

  • Which applications can benefit from using the Nvidia Quadro RTX8000 GPU?

    Applications that benefit from using the Nvidia Quadro RTX8000 GPU include computer-aided design (CAD), digital content creation, scientific visualization, machine learning, and high-performance computing tasks.

  • What are the connectivity options available on the Nvidia Quadro RTX8000?

    The Nvidia Quadro RTX8000 offers a variety of connectivity options including DisplayPort 1.4, VirtualLink (USB-C), NVLink, and support for multiple monitors.

  • Can the Nvidia Quadro RTX8000 be used for gaming?

    While the Nvidia Quadro RTX8000 is primarily designed for professional workflows and applications, it is also capable of handling gaming tasks. However, it is optimized for stability and precision over the typical gaming performance found in consumer GPUs.

  • How does the Quadro RTX8000 compare to the previous-generation Nvidia GPUs?

    The Quadro RTX8000 features significant improvements over previous-generation GPUs, including enhanced ray tracing capabilities, faster memory, higher memory capacity, more CUDA cores, and advanced AI features.

  • What system requirements are needed to support the HPE R1F97C Nvidia Quadro RTX8000 GPU Module?

    The system requirements for the HPE R1F97C Nvidia Quadro RTX8000 GPU Module include a compatible server or workstation, sufficient power supply, adequate cooling, and appropriate slots for installation such as PCI Express.

  • Is the Nvidia Quadro RTX8000 suitable for use in data centers?

    Yes, the Nvidia Quadro RTX8000 is suitable for use in data centers due to its high-performance capabilities, reliability, and scalability options provided by NVLink and other data center-specific features.

  • How does the Nvidia Quadro RTX8000 support AI and deep learning tasks?

    The Nvidia Quadro RTX8000 supports AI and deep learning tasks through its Tensor Cores, which accelerate AI computations, and its large memory capacity that allows for the handling of large datasets and complex models.

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