Allows NVIDIA to bring advances in AI features to developers who place them into applications with NVIDIA pre-trained neutral networks. Next up, let’s take a look at V-Ray from Chaos Group. This benchmark is for the V-Ray 3D rendering and simulation toolset, which is available as a plugin for a wide range of 3D modeling applications, such as Cinema 4D, Maya, Rhino, and Unreal, among others. This benchmark focuses on CUDA and RTX performance specifically. We used the newest version of the V-Ray benchmark (v5) as well as an older one (v4), just for comparison. 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.

VirtualLink is an industry standard alternate mode of USB Type-C that delivers 4 display lanes of HBR3 DisplayPort, USB 3.1 Gen2 SuperSpeed data, and up to 27 W of power to next generation VR HMDs (Head Mounted Displays).

Board Design

Brings AI-based features to end user applications to enhance graphics, photos, imaging, and video processing. HDR support over DisplayPort 1.4 (SMPTE 2084/2086, BT. 2020) (4K at 60Hz 10b/12b HEVC Decode, 4K at 60Hz 10b HEVC Encode) 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.

Synchronize the display and image output of up to 32 displays from 8 GPUs (connected through two Quadro Sync II boards) in a single system, reducing the number of systems needed to create an advanced video visualization environment. Release 410 is an ‘Optimal Drivers for Enterprise’ (ODE) branch release. ODE branches are dedicated to long term stability, suitable for use by Independent Software Vendor (ISV) certifications, Original Equipment Manufacturers (OEM), and Enterprise customers. Provides a compute-based geometry pipeline to speed processing and culling for geometrically complex models and scenes to improve performance by up to 2x. Texture from and render to 32K x 32K surfaces to support applications that demand the highest resolution and quality image processing. 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.

Support up to four 8K (7680 x 4320) monitors at 60 Hz, four 5K (5120 x 2880) displays at 60 Hz, or four 4K (3840 x 2160 or 4096 x 2160) displays at up to 120 Hz. Quadro RTX 8000 supports HDR over DisplayPort 1.4 (SMPTE 2084/2086. BT. 2020) with 4K at 60 Hz 10b/12b HEVC decode, 4K at 60 Hz 10b HEVC Encode. Built with 48GB of state-of-the-art GDDR6 memory delivering 55% greater throughput than the previous-generation GDDR5x technology, Quadro RTX 8000 is well-equipped to handle latency-sensitive applications handling large datasets. Redshift - support for Redshift RT, a real time rendering feature that allows 3D artists to visualize scenes in real time, omitting unnecessary wait times for renders to finalize

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). 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 Why are we comparing a workstation Quadro card with a consumer GeForce card? Because never before has NVIDIA put out a consumer card this powerful, and the value proposition of spending a third of the money versus the Quadro line has become very enticing. Particularly because as of writing this article, there is no official word on a true TITAN RTX successor, which has traditionally filled the niche for work and play GPUs. It’s also impossible to ignore the state of the world right now, with work-from-home solutions being a top priority for a lot of people, and having one extremely powerful GPU for CAD by day and gaming by night sounds better than ever. We know, we can hear you through the screen about the differences for a “true” workstation card! We’ll get there, we promise; keep reading.To say the RTX 3090 has impressive performance would be an understatement. In applications that are heavily GPU-bound, the new Ampere architecture really flexes its muscles, beating out even the Lenovo P920 and its dual RTX 8000s. In LuxMark v3, the performance was over double, and the v4 benchmarks were approaching 150% performance. Expect to see a lot more charts that look like this, but (spoiler alert) not everything is as clear-cut as it seems. Dramatically reduce visual aliasing artifacts or “jaggies” with up to 64x FSAA (128x with SLI Mode) for unparalleled image quality and highly realistic scenes. The Production Branch driver is a superset of the NVIDIA Studio Driver and provides all the benefits of the Studio Driver of the same version, in addition to NVIDIA RTX-specific enhancements and testing.

Multi-GPU Mosaic][Quadro Sync]: Application corruption and possible blue-screen crash occurs when enabling WARP while Mosaic and Quadro Sync are enabled. Do you work in the machine learning and AI field? This one’s a mixed bag, because it seems like a “yes” as the performance in TensorFlow is excellent, but there are unfortunately not enough standardized tests or data points to make a definitive conclusion versus a newer Quadro card. Also, as of this writing, TensorFlow hasn’t been updated to properly support Ampere cards. Our current answer is a soft yes. We may look at MLCommons and MLperf in the future as a follow-up, specifically for AI and machine learning use cases. AI InPainting allows the removal of existing content from images and replaces it with realistic computer-generated alternatives. Extension of Single Pass Stereo rendering multiple views in a single pass with unique view origin positions or view directions.

Quadro GV100, Quadro GP100, Quadro P6000, Quadro P5200, Quadro P5000, Quadro P4000, Quadro P2200, Quadro P2000, Quadro P1000, Quadro P620, Quadro P600, Quadro P400, Quadro M6000 24GB, Quadro M6000, Quadro M5000, Quadro M4000, Quadro M2000, Quadro K2200, Quadro K1200, Quadro K620 NVIDIA RTX A5000 Laptop GPU, NVIDIA RTX A4000 Laptop GPU, NVIDIA RTX A3000 Laptop GPU, NVIDIA RTX A2000 Laptop GPU, NVIDIA T1200 Laptop GPU , NVIDIA T600 Laptop GPU, NVIDIA T500 The Quadro RTX 8000 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, which are connected using a 384-bit memory interface. The GPU is operating at a frequency of 1395 MHz, which can be boosted up to 1770 MHz, memory is running at 1750 MHz (14 Gbps effective). The embedded OpenCL Just-In-Time compiler will offer an opt-in version utilizing CLANG 7.0 and NVVM 7.0 components, providing support for 16-bit floating point and 128-bit integer data types. The story here is very similar to LuxMark with the RTX 3090 vastly outperforming the RTX 8000, and even eeking out above the Lenovo P920 and its dual GPUs. This benchmark specifically lets us see the massive improvements NVIDIA has made to their 2nd generation ray-tracing cores; the CUDA performance is about doubled, while the RTX performance is nearly 150%.