Leadtek Desktop Graphics Cards NVIDIA Quadro RTX8000 Professional Original Video Card

NVIDIA Quadro RTX 8000 Graphics Card

NVIDIA Quadro RTX 8000 graphics card, powered by the NVIDIA Turing™ architecture and the NVIDIA RTX™ platform, combines unparalleled performance and memory capacity to deliver the world’s most powerful graphics card solution for professional workflows. Creative and technical professionals can now wield the power of hardware-accelerated ray tracing, AI and advanced shading to boost productivity and create amazing content faster than ever before.

The Quadro RTX 8000 features 72 RT cores for real-time ray tracing and 576 Tensor Cores for AI enhanced workflows, resulting in over 130 TFLOPS of deep learning performance. With 48 GB of GDDR6 memory, scalable to 96 GB with NVIDIA NVLink technology, the Quadro RTX 8000 is designed to work with the most memory intensive workloads like creating the most complex models, building massive architectural datasets, visualizing immense data science workloads, working with 8K movie content in real time, and speeding up high resolution final frame rendering. VirtualLink® provides connectivity to next-generation, high-resolution VR HMDs to let you view your work in the most compelling virtual environments. The NVIDIA Quadro RTX 8000 redefines what’s possible.

High Speed GDDR6 Memory

Built with 48GB of state-of-the-art GDDR6 memory delivering 55% greater throughput than the previous-generation GDDR5x technology, Quadro RTX 8000 provides the industry’s largest graphics memory footprint to address the largest datasets and models in latency-sensitive professional applications.

Software Support

Software Optimized for AI

Deep learning frameworks such as Caffe2, MXNet, CNTK, TensorFlow, and others deliver dramatically faster training times and higher multi-node training performance. GPU accelerated libraries such as cuDNN, cuBLAS, and TensorRT delivers higher performance for both deep learning inference and High-Performance Computing (HPC) applications.

NVIDIA CUDA Parallel Computing Platform

Natively execute standard programming languages like C/C++ and Fortran, and APIs such as OpenCL, OpenACC and Direct Compute to accelerates techniques such as ray tracing, video and image processing, and computation fluid dynamics.

Unified Memory

A single, seamless 49-bit virtual address space allows for the transparent migration of data between the full allocation of CPU and GPU memory.

NVIDIA GPU Direct for Video

GPUDirect for Video speeds communication between the GPU and video I/O devices by avoiding unnecessary system memory copies and CPU overhead.

NVIDIA Enterprise-Management Tools

Maximize system uptime, seamlessly manage wide-scale deployments and remotely control graphics and display settings for efficient operations.