Computer Science

Engineering

Artificial Intelligence

Alexandru Tarachiu's Technology Notebook

NVDIA releases NVIDIA RTX 6000 series graphics card built with Ada Lovelace architecture

 What RTX is      RTX is a software system which can be used for video creating, video game creating, and 3D image and simulation creating or to run them. It is integrated and embedded in the GPUs which use it to run certain files, images, videos and simulations, as well as games; or to create those. The software system is not only used by NVIDIA for their GPUs to render the applications mentioned before in this article, but there other systems which specifically and intentionally use, because of the partnership between the companies which created or helped create these other systems, the RTX system for their apps and related software. Some of the partner apps and software that are accelerated by the RTX software system are: Unity, the software from Dassault Systems, the software from Adobe, the software from Autodesk, and the software from Epic Games, the XDR extension in Microsoft's DirectX12 and DLSS( Deep Learning Super Sampling).      RTX stands for Ray Tracing Texel eXtreme. The RTX graphics cards provide real-time ray to make an image, video, game or simulation look more realistic, or/and beautiful; and the RTX graphics cards series is a variant of the GeForce series, which was announced in 2018, and it uses the Turing architecture, unlike the GTX graphics cards series, which was introduced in 2008, allegedly, or at least that is what Mont Digital claims, with the series 200 and based on NVIDIA's graphics card architecture designated as Tesla, and thus the series was designated as Tesla. The RTX provides detailed lighting effects for better looks and the ray tracing that is included provides special views. However it can be difficult for a GPU to keep track of light rays and very expensive and it requires a lot power for that GPU. So when it comes to video games, certain video games use restarization, which is the process of converting a digital image from a vector graphics format in which the characteristics of lines, shapes, etc. are defined by mathematical formulas into a set of individual pixels, to get speedy outcomes at low cost; and in addition certain video games rely on restarization for visual effects based on somewhat cutting-edge lighting effects.      The RT core and the RTX software which help make up the RTX graphics cards series work together to offer better graphics for a wide variety of services, images, videos, games and simulations. RT Cores are accelerator units that are dedicated to performing ray tracing operations with extraordinary efficiency. Combined with NVIDIA RTX software, RT Cores enable designers and creators to use ray-traced rendering to create photorealistic objects and environments with physically accurate lighting. The entire graphics sector was definitely affected by the GeForce RTX graphics cards series and its services, in a good way. Ray tracing is a method of graphics rendering that simulates the physical behavior of light.What Ada Lovelace isThe NVIDIA Ada Lovelace architecture has been, allegedly, designed to power incredible performance for professional graphics, video, AI, and compute. Defining a dramatically higher baseline of GPU performance, it marks the tipping point for AI, ray tracing, and neural graphics. There are 2 major types of GPUs that use this architecture data centre GPUs and workstation GPUs. The architecture’s NVDIA L4 Tensor Core GPU and NVDIA L40 GPU accelerate performance for data center workloads. The NVIDIA RTX 6000 Ada Generation GPU is the ultimate workstation GPU, delivering unprecedented rendering, AI, graphics, data science, and compute performance for professional visualization workloads. The NVIDIA Ada Lovelace architecture powers a variety of desktops and laptops to maximize productivity and creativity. the NVIDIA Ada Lovelace architecture uses third-generation RT Cores deliver up to 2X the ray-tracing performance over the previous generation, delivering groundbreaking performance for photorealistic rendering. Enhanced RT Cores combined with Shader Execution Reordering (SER) technology dynamically reorder inefficient workloads, dramatically improving shader performance to accelerate end-to-end ray-traced image rendering performance; and all those features are included in the NVIDIA RTX 6000 series.      The Ada Lovelace architecture’s Tensor Cores are designed to accelerate transformative AI technologies like intelligent chatbots, generative AI, natural language processing (NLP), computer vision, ad NVIDIA Deep Learning Super Sampling 3.0 (DLSS 3). Ada Lovelace Tensor Cores unleash structured sparsity and 8-bit floating point (FP8) precision for up to 4X higher inference performance over the previous generation. FP8 reduces memory pressure when compared to larger precisions and dramatically accelerates AI throughput. The Ada-based CUDA® cores bring double-speed processing for single-precision floating point (FP32) operations over the previous-generation GPUs. This provides significant performance gains for graphics workflows like 3D model development and compute workflows like desktop simulation for computer-aided engineering (CAE). NVIDIA Ada Lovelace GPUs take video and vision AI acceleration to the next level and bring our optimized AV1 stack, creating a broad array of new possibilities for use cases like video transcoding, streaming, video conferencing, augmented reality (AR), virtual reality (VR), and vision AI. With up to 2X as many decoders and encoders, combined with the AV1 video format, Ada Lovelace GPUs can host up to 3X more video streams concurrently than the previous generation. On top of this, additional JPEG decoders further speed up applications that need computer vision horsepower; and all these features are included in the NVIDIA RTX 6000 series.      DLSS 3 is a full-stack innovation that delivers a giant leap forward in real-time graphics performance. This breakthrough software leverages the latest hardware innovations within the Ada Lovelace architecture, including fourth-generation Tensor Cores and a new Optical Flow Accelerator (OFA) to boost rendering performance, deliver higher frames per second (FPS), and significantly improve latency. DLSS 3 is a marriage of software and hardware, of AI and dedicated, specialized GPU cores, and is only possible on NVIDIA Ada architecture GPUs. With next-generation improvements in NVIDIA virtual GPU (vGPU) software, NVIDIA Ada Lovelace data center GPUs can deliver a 1.7x  increase in performance for mid- to high-end design workflows running on NVIDIA RTX Virtual Workstation (vWS) and accelerate productivity applications running on NVIDIA Virtual PC (vPC). NVIDIA Ada Lovelace GPUs can support higher user density and resource utilization, and they provide up to 50 percent more GPU memory than the previous generation. The NVIDIA Ada Lovelace L4 and L40 GPUs are optimized for 24/7 enterprise data center operations and designed, built, extensively tested, and supported by NVIDIA and partners for maximum performance, durability, and security. Both the NVIDIA L40 and L4 GPUs feature secure boot with root-of-trust technology, providing an additional layer of security for data centers; and all these features are included in the NVIDIA RTX 6000 series.The NVIDIA RTX 6000 series      The NVIDIA RTX™ 6000 Ada Generation delivers the features, capabilities, and performance to meet the challenges of today’s professional workflows. Built on the NVIDIA Ada Lovelace GPU architecture, the RTX 6000 combines third-generation RT Cores, fourth-generation Tensor Cores, and next-gen CUDA cores with 48GB of graphics memory for unprecedented rendering, AI, graphics, and compute performance. NVIDIA RTX 6000-powered workstations provide what you need to succeed in today’s ultra-challenging business environment. It has a GPU memory of 48GB GDDR6 with error-correcting code (ECC), 4 DisplayPorts 1.4, maximum power consumption of 300 W, PCIe Gen 4 x 16 graphics bus and 4.4” (H) x 10.5” (L) dual slot form factor.      It has NVIDIA CUDA cores with double-speed processing for single-precision floating point (FP32) operations provides significant performance improvements for graphics and simulation workflows, such as complex 3D computer-aided design (CAD) and computer-aided engineering (CAE), on the desktop. It also has third generation RT cores with up to 2X the throughput over the previous generation, third-generation RT Cores deliver massive speedups for workloads like photorealistic rendering of movie content, architectural design evaluations, and virtual prototyping of product designs. This technology also accelerates the rendering of ray-traced motion blur with greater visual accuracy. It also as fourth-generation Tensor cores; with Fourth-generation Tensor Cores provide faster AI compute performance, delivering more than 2X the performance of the previous generation. These new Tensor Cores support acceleration of the FP8 precision data type and provide independent floating-point and integer data paths to speed up execution of mixed floating point and integer calculations.      With 48GB GDDR6 memory, the RTX 6000 gives data scientists, engineers, and creative professionals the large memory necessary to work with massive datasets and workloads like rendering, data science, and simulation. Support for NVIDIA RTX Virtual Workstation( vWS) allows a personal workstation to be repurposed into multiple high-performance virtual workstation instances, enabling remote users to share resources to drive high-end design, AI, and compute workloads. It also has PCI Express Gen 4 support provides double the bandwidth of PCIe Gen 3, improving data-transfer speeds from CPU memory for data-intensive tasks like AI and data science.Referencehttps://www.montdigital.com/news/what-does-rtx-stand-for.html#:~:text=The%20full%20form%20of%20RTX,the%20video%20look%20more%20beautiful.