PNY Quadro RTX 8000 Professional Graphic Card 48GB GDDR6 PCI Express 3.0 x16, Dual Slot, 4x DisplayPort, 8K Support, Ultra-quiet active fan

Product Information

bit internal display pipeline (hardware support for 12-bit scanout on supported panels, applications and connection) Do you currently own a TITAN RTX and are looking to upgrade? We recommend you wait for an official announcement from NVIDIA on the Ampere-based TITAN, which is rumored to be coming eventually. If your use cases make good use of the TITAN, the RTX 3090 may end up a downgrade, depending on your workflow. 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. Vidmem output for encoded bitstream and motion vectors to accelerate post-processing for end-to-end GPU workflows. Texture from and render to 32K x 32K surfaces to support applications that demand the highest resolution and quality image processing.

Quadro P5200, Quadro P5000, Quadro P4200, Quadro P3200, Quadro P4000, Quadro P3000, Quadro P2000, Quadro P1000, Quadro P600, Quadro P500, Quadro M2200, Quadro M1200, Quadro M620, Quadro M520, Quadro M5500, Quadro M5000M, Quadro M4000M, Quadro M3000M, Quadro M2000M, Quadro M1000M, Quadro M600M, Quadro M500M, Quadro K5100M, Quadro K5000M, Quadro K4100M, Quadro K4000M, Quadro K3100M, Quadro K2200M, Quadro K2100M, Quadro K3000M, Quadro K2000M, Quadro K1100M, Quadro K1000M, Quadro K620M, Quadro K610M, Quadro K510M, Quadro K500M

GeForce RTX 3090 vs Quadro RTX 8000 Benchmarks

Natively execute standard programming languages like C/C++, Fortran, Python and APIs such as CUDA, OpenCL, OpenACC and Direct Compute to accelerate techniques such as ray tracing, video and image processing, or finite element analysis or computational fluid dynamics (among others). New dedicated hardware-based ray-tracing technology allows the GPU for the first time to real-time render film quality, photorealistic objects and environments with physically accurate shadows, reflections, and refractions. The real-time ray-tracing engine works with NVIDIA OptiX, Microsoft DXR, and Vulkan APIs to deliver a level of realism far beyond what is possible using traditional rendering techniques. RT cores accelerate the Bounding Volume Hierarchy (BVH) traversal and ray casting functions using low number of rays casted through a pixel. H.264 encode bitrate/quality improvements to modulate performance to reduce bitrate (e.g. ~6% at the same performance level, ~11% with reduced performance). Equipped with 4608 NVIDIA CUDA ® cores, 576 Tensor cores, and 72 RT Cores, the Quadro RTX 8000 can render complex models and scenes with physically accurate shadows, reflections, and refractions to empower users with instant insight. Support for NVIDIA NVLink™1 lets applications scale performance, providing 96 GB of GDDR6 memory with multi-GPU configurations2. And with the industry’s first implementation of the new VirtualLink®3 port, the Quadro RTX 8000 provides simple connectivity to the next-generation of high-resolution VR head-mounted displays to let designers view their work in the most compelling virtual environments possible. Quadro T2000, Quadro T1000, Quadro P5200, Quadro P5000, Quadro P4200, Quadro P3200, Quadro P4000, Quadro P3000, Quadro P2000, Quadro P1000, Quadro P600, Quadro P520, Quadro P500, Quadro M2200, Quadro M1200, Quadro M620, Quadro M520, Quadro M5500, Quadro M5000M, Quadro M4000M, Quadro M3000M, Quadro M2000M, Quadro M1000M, Quadro M600M, Quadro M500M, Quadro K2200M, Quadro K620M

Transparently scale the desktop and applications across up to 8 GPUs and 32 displays from a single workstation while delivering full performance and image quality. Let’s move on from creative application and into something new. We’ll be taking a look at the machine learning performance of these cards using a benchmark aptly named AI-Benchmark. It’s an open-source Python library that runs a series of deep learning tests using the TensorFlow machine learning library. You can find out more about it here as well as which specific testing methodologies it uses. The Quadro RTX 8000 Passive is an enthusiast-class professional graphics card by NVIDIA, launched on August 13th, 2018. Built on the 12 nm process, and based on the TU102 graphics processor, in its TU102-875-A1 variant, the card supports DirectX 12 Ultimate. The TU102 graphics processor is a large chip with a die area of 754 mm² and 18,600 million transistors. It features 4608 shading units, 288 texture mapping units, and 96 ROPs. Also included are 576 tensor cores which help improve the speed of machine learning applications. The card also has 72 raytracing acceleration cores. NVIDIA has paired 48 GB GDDR6 memory with the Quadro RTX 8000 Passive, which are connected using a 384-bit memory interface. The GPU is operating at a frequency of 1230 MHz, which can be boosted up to 1620 MHz, memory is running at 1625 MHz (13 Gbps effective).Production Branch drivers are designed and tested to provide long-term stability and availability, making these drivers ideal for enterprise customers and other users who require application and hardware certification from ISVs and OEMs respectively. Extension of Single Pass Stereo rendering multiple views in a single pass with unique view origin positions or view directions.