NVIDIA 绘图处理器参考资料
NVIDIA Quadro K6000 12GB 图形卡产品简介说明书
NVIDIA Quadro K6000 12GB GraphicsNVIDIA Quadro K6000 12GB Graphics C2J96AA INTRODUCTIONThe NVIDIA Quadro K6000, the top of the line member of the latest NVIDIA® Kepler-based GPU architecture, is a truetechnological breakthrough, delivering five-times higher compute performance and nearly double the graphicscapability of its predecessor, the NVIDIA Quadro 6000 GPU, and features the world's largest and fastest graphicsmemory.Combining breakthrough performance and advanced capabilities in a power-efficient design, the Quadro K6000 GPUenables leading organizations to tackle visualization and analysis workloads of unprecedented size and scope. PERFORMANCE AND FEATURESThe Quadro K6000 GPU is based on the NVIDIA Kepler™ architecture - the world's fastest, most efficient GPUarchitecture. Key performance features and capabilities include:∙12GB ultra-fast GDDR5 graphics memory lets designers and animators model and render characters and scenes at unprecedented scale, complexity and richness∙2,880 streaming multiprocessor (SMX) cores deliver faster visualization and compute horsepower than previous-generation products∙Supports four simultaneous displays and up to 4k resolution with DisplayPort™ 1.2∙Ultra-low latency video I/O and support for large-scale visualizations∙Full PCI Express 3.0 supportThe Quadro K6000 is the first NVIDIA Professional solution to incorporate Quadro Boost, a mechanism that automatically maximizes application performance while staying within the specified power envelope. For workloads that do not reach the allowed power level, the GPU clock is automatically increased to "Boost Clock" in order to leverage the remainingpower budget for additional increased performance. The GPU will always try to reach the higher "Boost Clock" in order to maximize application performance.The Quadro Boost feature will disable "Boost Clocking" in the following scenarios:∙If clock jitter sensitive "Workstation features" like Sync, SDI, or SLI is enabled, the Quadro K6000 will clock to Base Clock automatically.∙If the user manually selects the "Prefer Consistent Performance" Control Panel option to lock explicitly to Base Clock (can be useful for performance tuning of applications during development). COMPATIBILITYThe Quadro K6000 is supported on the following HP Z-Workstations:- Z420 (AMO only), Z620, Z820- Z440, Z640, Z840SERVICE AND SUPPORTThe NVIDIA Quadro K6000 has a one-year limited warranty or the remainder of the warranty of the HP product in which it is installed. Technical support is available seven days a week, 24 hours a day by phone, as well as online support forums.Parts and labor are available on-site within the next business day. Telephone support is available for parts diagnosis and installation. Certain restrictions and exclusions apply.TECHNICAL SPECIFICATIONSForm Factor 4.376” H x 10.5” LDual SlotPower: 234 WattsWeight: ~880 gramsGraphics Controller NVIDIA Quadro K6000 Graphics Card based on the GK180 GPUCore Count: 2880Base Clock: 797 MHzBoost Clock: 902 MHzBus Type PCI Express 3.0 x16Memory 12GB GDDR5384-bit memory I/O path288 GB/s memory bandwidthECC MemoryConnectors DVI-I (1), DVI-D (1), DP (2), Optional 3D Stereo bracket with 3-pin mini-DIN connector.Factory configured option: No adapter included with card.Option Kit: No adaptor included with card.DVI to VGA, DisplayPort to VGA, DisplayPort to DVI, and DisplayPort to Dual-Link DVI adaptersavailable as accessories.Image Quality Features ∙DDisplayPort with Multi-Stream Technology (MST) and High Bit Rate 2 (HBR2), HDMI 1.4,and HDCP support∙NN VIDIA 3D Vision™ technology∙NNVIDIA Premium Mosaic and nViewDisplay Output 400 MHz integrated RAMDAC∙Maximum resolution over VGA (through DVI to VGA cable): 2048 × 1536 × 32 bpp at 85HzDual-link internal TMDS (DVI 1.0)∙Maximum resolution over digital port (single GPU and SLI mode): 2560 × 1600 × 32 bppat 60 Hz (reduced blanking)Single-link internal TMDS (DVI 1.0)∙Maximum resolution over digital port (single GPU and SLI mode):1920 × 1200 × 32 bppat 60 Hz (reduced blanking)DisplayPort with MST and HBR2.∙Maximum resolution: 3840 × 2160 × 36 bpp at 60HzHDMI∙Maximum resolution: 1920 × 1080 × 32 bpp at 60HzShading Architecture Shader Model 5.0Full IEEE 764-2008 32-bit and 64-bit precisionSupported Graphics APIs Full OpenGL 4.3Full DirectX 11CUDA API support includes:CUDA C, CUDA C++, DirectCompute 5.0, OpenCL, Java, Python, and FortranAvailable Graphics Drivers Windows 8.1Windows 8Windows 7 Professional (64-bit and 32-bit)Red Hat Enterprise Linux (RHEL) 6 Desktop/WorkstationSUSE Linux Enterprise Desktop 11 (64-bit and 32-bit)HP qualified drivers may be preloaded or available from the HP support Web site:/country/us/en/support.htmlNovell SUSE Linux Enterprise drivers may also be obtained from:ftp:///novell or Notes 1. NVIDIA GRID VGX Pass Through feature supported on NVIDIA Quadro K6000 to enable directmapping of GPU to Virtual Machine.2. No display output adapter included.3. Configurations of a single Quadro K6000 graphics card in HP Z440 Workstation require the HPZ440 Fan and Front Card Guide Kit, configurable from the factory (CTO PN: G8T99AV) or as anAftermarket Option (AMO PN: J9P80AA).Summary of ChangesDate of change: Version History: Description of change:December 4, 2014 From v1 to v2 Added Added note for HP Z440 configurations May 1, 2015 From v2 to v3 Changed Notes for Technical Specification section.© Copyright 2014 Hewlett-Packard Development Company, L.P.The only warranties for HP products and services are set forth in the express warranty statements accompanying such products and services. Nothing herein should be construed as constituting an additional warranty. HP shall not be liable for technical or editorial errors or omissions contained herein. The information contained herein is subject to change without notice.。
NVIDIA DOCA 编程指南说明书
Overview GuideTable of ContentsChapter 1. Introduction (1)Chapter 2. DOCA Libraries (2)2.1. DOCA App Shield (2)2.2. DOCA Arg Parser (2)2.3. DOCA Comm Channel (2)2.4. DOCA Compress (3)2.5. DOCA Core (3)2.6. DOCA DMA (3)2.7. DOCA DPA (3)2.8. DOCA DPI (3)2.9. DOCA Erasure Coding (4)2.10. DOCA Ethernet (4)2.11. DOCA Flow (4)2.12. DOCA GPUNetIO (4)2.13. DOCA IPsec (5)2.14. DOCA RDMA (5)2.15. DOCA RegEx (5)2.16. DOCA Rivermax (5)2.17. DOCA SHA (5)2.18. DOCA Telemetry (5)2.19. DOCA UCX (6)Chapter 1.IntroductionDOCA programming guides provide the full picture of DOCA libraries and their APIs. Each guide includes an introduction, architecture, API, and many more library-specific information with the aim of making DOCA libraries easy to use.Chapter 2.DOCA LibrariesDOCA libraries are designed to serve DOCA-based software such as the provided example applications. For optimal performance, it is recommended to run these applications on the DPU. However, if necessary, DOCA libraries can be run on the host.In addition, built-in gRPC support for DOCA allows certain libraries to be used by gRPC clients running on the host that communicates with a matching gRPC server which implements the library's functionality on the DPU.2.1. DOCA App ShieldDOCA App Shield library API offers intrusion detection capabilities using the built-in hardware services of the DPU to collect data from the host's memory space. App Shield makes it possible to detect attacks on critical services in the host system. This library leverages the DPU's direct memory access (DMA) capability to monitor the host's memory space directly without involving the host's operating system nor CPU.2.2. DOCA Arg ParserDOCA Arg Parser library offers DOCA-based programs an easy and simple command-line interface. Arg Parser supports both regular command-line arguments and a JSON mode that accepts a JSON file containing the required arguments.2.3. DOCA Comm ChannelDOCA Comm Channel library creates a secure, network-independent communication channel between the host and the DPU. Comm Channel provides a client-server API. Comm Channel is reliable and message-based. It offers a notification mechanism that can be used by Linux system calls (e.g., epoll, poll, select) and support for multiple connections on the server-side.2.4. DOCA CompressThe DOCA Compress library offers a hardware-accelerated way to compress and decompress data on both DPU and host.2.5. DOCA CoreThe DOCA Core library provides a unified interface to construct standardized DOCA workflows that other libraries and applications can build upon.2.6. DOCA DMAThe DOCA Direct Memory Access (DMA) library offers an API for copying data buffers between the host and the DPU using hardware acceleration, supporting both local and remote copy. DMA allows the execution of complex memory operations in an optimized, hardware-accelerated manner.2.7. DOCA DPAThe DOCA Erasure Coding library provides an API to encode and decode data using hardware acceleration, supporting both the host and NVIDIA® BlueField® DPU memory regions.DOCA Erasure Coding recovers lost data fragments by creating generic redundancy fragments (backup). Each redundancy block that the library creates can help recover any block in the original data should total loss of a fragment occur.DOCA Erasure Coding increases data redundancy and reduces data overhead.2.8. DOCA DPIDOCA Deep Packet Inspection (DPI) library offers a deep examination of data packets as they traverse a monitored network checkpoint. DPI provides a robust mechanismfor enforcing network packet filtering, as it can be used to identify or block a range of complex threats due to efficient data stream inspection.DPI leverages the RegEx engine on the DPU which can very efficiently parse regular expressions found in packets.DOCA DPI has built-in gRPC support.2.9. DOCA Erasure CodingThe DOCA Erasure Coding library provides an API to encode and decode data using hardware acceleration, supporting both the host and NVIDIA® BlueField® DPU memory regions.DOCA Erasure Coding recovers lost data fragments by creating generic redundancy fragments (backup). Each redundancy block that the library creates can help recover any block in the original data should total loss of a fragment occur.DOCA Erasure Coding increases data redundancy and reduces data overhead.2.10. DOCA EthernetThe DOCA Ethernet library provides two APIs for receiving Ethernet packets on an RX queue and for sending Ethernet packets on a TX queue respectively.The library collects the user configuration data on the host CPU side, creates TX/RX objects, and exports them to the GPU side for execution in the data-path.2.11. DOCA FlowDOCA Flow library is the most fundamental API for building generic execution pipes in hardware. The main building block of the library is a pipe. Each pipe consists of match criteria, monitoring, and a set of actions. Pipes can be chained to create a set of complex actions to be performed on ingress packets.This library serves as an abstraction layer API for network acceleration and should be used by applications intended to offload packet processing from the operating system Kernel directly to the user space.DOCA Flow has a built-in gRPC-support.2.12. DOCA GPUNetIOThe DOCA GPUNetIO library offers building blocks to create a GPU-centric packet processing network application where CUDA kernels are capable of directly interacting with the network card without involving the CPU in the main critical path.This library provides CUDA device functions to send and receive packets. Additionally, an object named semaphore is provided to allow message passing across CUDA kernels or a CUDA kernel and a CPU thread.This library also allow allocating memory on the GPU that would be accessible from the CPU and vice versa.2.13. DOCA IPsecThe DOCA IPsec library provides an API to create the security association (SA) objects required for DOCA Flow's hardware-accelerated encryption and decryption.2.14. DOCA RDMADOCA RDMA enables direct access to the memory of remote machines, without interrupting the processing of their CPUs or operating systems. Avoiding CPU interruptions reduces context switching for I/O operations, leading to lower latency and higher bandwidth compared to traditional network communication methods.2.15. DOCA RegExDOCA RegEx library provides regular expression pattern matching to DOCA programs. It provides access to the regular expression processing (RXP) engine, a high-performance hardware-accelerated engine available on the DPU.RegEx allows the execution of complex regular expression operations in an optimized, hardware-accelerated manner.2.16. DOCA RivermaxThe DOCA Rivermax library provides an API for using NVIDIA® Rivermax®, an optimized networking SDK for media and data streaming applications. Rivermax leverages the DPU hardware streaming acceleration technology which allows data to be transferred to and from the GPU to deliver best-in-class throughput and latency.2.17. DOCA SHAThe DOCA SHA library provides a flexible and unified API to leverage the secure hash algorithm offload engine present in the NVIDIA® BlueField®-2 DPU. The SHA hardware engine supports SHA-1, SHA-256, and SHA-512 algorithms either as "single shot" or stateful calculations.2.18. DOCA TelemetryDOCA Telemetry library offers a fast and convenient way to transfer user-defined data to the DOCA Telemetry Service (DTS). Telemetry API provides the user a choice between several different outputs including saving the data directly to storage, NetFlow, Fluent Bit forwarding, or Prometheus endpoint.2.19. DOCA UCXUnified Communication X (UCX) is an optimized point-to-point communication framework. UCX exposes a set of abstract communication primitives that makes the best use of available hardware resources and offloads. UCX facilitates rapid development by providing a high-level API, masking the low-level details, while maintaining high performance and scalability.NoticeThis document is provided for information purposes only and shall not be regarded as a warranty of a certain functionality, condition, or quality of a product. NVIDIA Corporation nor any of its direct or indirect subsidiaries and affiliates (collectively: “NVIDIA”) make no representations or warranties, expressed or implied, as to the accuracy or completeness of the information contained in this document and assume no responsibility for any errors contained herein. NVIDIA shall have no liability for the consequences or use of such information or for any infringement of patents or other rights of third parties that may result from its use. This document is not a commitment to develop, release, or deliver any Material (defined below), code, or functionality.NVIDIA reserves the right to make corrections, modifications, enhancements, improvements, and any other changes to this document, at any time without notice.Customer should obtain the latest relevant information before placing orders and should verify that such information is current and complete.NVIDIA products are sold subject to the NVIDIA standard terms and conditions of sale supplied at the time of order acknowledgement, unless otherwise agreed in an individual sales agreement signed by authorized representatives of NVIDIA and customer (“Terms of Sale”). NVIDIA hereby expressly objects to applying any customer general terms and conditions with regards to the purchase of the NVIDIA product referenced in this document. No contractual obligations are formed either directly or indirectly by this document.NVIDIA products are not designed, authorized, or warranted to be suitable for use in medical, military, aircraft, space, or life support equipment, nor in applications where failure or malfunction of the NVIDIA product can reasonably be expected to result in personal injury, death, or property or environmental damage. NVIDIA accepts no liability for inclusion and/or use of NVIDIA products in such equipment or applications and therefore such inclusion and/or use is at customer’s own risk.NVIDIA makes no representation or warranty that products based on this document will be suitable for any specified use. Testing of all parameters of each product is not necessarily performed by NVIDIA. It is customer’s sole responsibility to evaluate and determine the applicability of any information contained in this document, ensure the product is suitable and fit for the application planned by customer, and perform the necessary testing for the application in order to avoid a default of the application or the product. Weaknesses in customer’s product designs may affect the quality and reliability of the NVIDIA product and may result in additional or different conditions and/or requirements beyond those contained in this document. NVIDIA accepts no liability related to any default, damage, costs, or problem which may be based on or attributable to: (i) the use of the NVIDIA product in any manner that is contrary to this document or (ii) customer product designs.No license, either expressed or implied, is granted under any NVIDIA patent right, copyright, or other NVIDIA intellectual property right under this document. Information published by NVIDIA regarding third-party products or services does not constitute a license from NVIDIA to use such products or services or a warranty or endorsement thereof. Use of such information may require a license from a third party under the patents or other intellectual property rights of the third party, or a license from NVIDIA under the patents or other intellectual property rights of NVIDIA.Reproduction of information in this document is permissible only if approved in advance by NVIDIA in writing, reproduced without alteration and in full compliance with all applicable export laws and regulations, and accompanied by all associated conditions, limitations, and notices.THIS DOCUMENT AND ALL NVIDIA DESIGN SPECIFICATIONS, REFERENCE BOARDS, FILES, DRAWINGS, DIAGNOSTICS, LISTS, AND OTHER DOCUMENTS (TOGETHER AND SEPARATELY, “MATERIALS”) ARE BEING PROVIDED “AS IS.” NVIDIA MAKES NO WARRANTIES, EXPRESSED, IMPLIED, STATUTORY, OR OTHERWISE WITH RESPECT TO THE MATERIALS, AND EXPRESSLY DISCLAIMS ALL IMPLIED WARRANTIES OF NONINFRINGEMENT, MERCHANTABILITY, AND FITNESS FOR A PARTICULAR PURPOSE. TO THE EXTENT NOT PROHIBITED BY LAW, IN NO EVENT WILL NVIDIA BE LIABLE FOR ANY DAMAGES, INCLUDING WITHOUT LIMITATION ANY DIRECT, INDIRECT, SPECIAL, INCIDENTAL, PUNITIVE, OR CONSEQUENTIAL DAMAGES, HOWEVER CAUSED AND REGARDLESS OF THE THEORY OF LIABILITY, ARISING OUT OF ANY USE OF THIS DOCUMENT, EVEN IF NVIDIA HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES. Notwithstanding any damages that customer might incur for any reason whatsoever, NVIDIA’s aggregate and cumulative liability towards customer for the products described herein shall be limited in accordance with the Terms of Sale for the product.TrademarksNVIDIA, the NVIDIA logo, and Mellanox are trademarks and/or registered trademarks of Mellanox Technologies Ltd. and/or NVIDIA Corporation in the U.S. and in other countries. The registered trademark Linux® is used pursuant to a sublicense from the Linux Foundation, the exclusive licensee of Linus Torvalds, owner of the mark on a world¬wide basis. Other company and product names may be trademarks of the respective companies with which they are associated.Copyright© 2023 NVIDIA Corporation & affiliates. All rights reserved.NVIDIA Corporation | 2788 San Tomas Expressway, Santa Clara, CA 95051。
nVIDIA显卡
计算机组装与维修公选课大作业学院:机械与电子工程学院专业: 自动化班级: 093121学号：09312130姓名：张石金2011年12月4 日阐述目前市场上主流的NVIDIA显示主芯片型号的性能NVIDIA（全称为nVIDIA Corporation，NASDAQ：NVDA，官方中文名称英伟达），创立于1993年1月，是一家以设计显示芯片和主板芯片组为主的半导体公司。
nVIDIA最出名的产品线是为游戏而设的GeForce显示卡系列，为专业工作站而设的Quadro显卡系列，和用于计算机主板的nForce芯片组系列。
nVIDIA 的总部设在美国加利福尼亚州的圣克拉拉。
是一家无晶圆（Fabless）IC半导体设计公司。
做为显卡芯片王者的NVIDIA崛起于1999年，目前市场上主流的NVIDIA显示芯片产品有：一、NVIDIA TNTIDIA TNT是NV于1998年10月发布的基于NV4显示芯片的显卡，TNT 是TwiN Texel的缩写。
核心架构为2条32bit象素流水线的渲染体系，每条象素流水线有1个TMU，在每个时钟周期内并行处理两个纹理。
成为当时速度最快的3D加速卡。
其主要型号包括：NVIDIA Riva TNT2 ULTRA、NVIDIA TNT2标准版、NVIDIA TNT2 M64、NVIDIA TNT2 VANTA二、NVIDIA GeForceNVIDIA是全球第一家能够提供适用于工作和娱乐应用并且同时支持众多操作系统的全套影院级着色三维图形解决方案的半导体公司。
其GeForce 系列图形芯片（GPU）能够为娱乐和游戏应用提供最出色的三维、二维和高清晰度电视性能，并可满足企业用户所要求的高速性能、鲜锐视觉效果以及水晶般清晰度。
为图形和视频所设计的GPU ，配有NVIDIA GeForce 系列GPU的台式电脑和笔记本电脑带给用户无法比拟的性能，明快的照片，高清晰的视频回放，和超真实效果的游戏。
NVIDIA虚拟GPU(vGPU)软件产品概述说明书
Date Version Authors Description 2022.10.27V1.0Leon Wang 概述2022.11.28V1.5Leon Wang 安装部署vGPU 配置安装手册vWS 14.3+vSPhere 7.0.3+vCenter 7.0.3修订记录1. NVIDIA vGPU 概述1.1 什么是NVIDIA vGPUNVIDIA 虚拟 GPU (vGPU) 软件为众多工作负载（从图形丰富的虚拟工作站到数据科学和 AI ）提供强大的 GPU 性能，使 IT 能够利用虚拟化的管理和安全优势以及现代工作负载所需的 NVIDIA GPU 的性能。
NVIDIA vGPU 软件安装在云或企业数据中心服务器的物理 GPU 上，会创建虚拟 GPU ，这些 GPU 可以在多个虚拟机（可随时随地通过任意设备访问）之间共享。
1.2 NVIDIA vGPU 软件产品分类1.2.1 NVIDIA 虚拟计算服务器 (vCS)仅支持CUDA ，Guest OS 仅支持Linux OS 。
加速基于 KVM 的基础架构上的虚拟化 AI 计算工作负载。
若是基于VMWare VSPhere 的基础架构，请查阅NVIDIA AI Enterprise 软件套件。
AI 、深度学习和数据科学工作流程需要出色的计算能力。
借助新款 NVIDIA 数据中心 GPU （包括 NVIDIA A30 Tensor Core GPU ），NVIDIA 虚拟计算服务器 (vCS) 可助力数据中心加速服务器虚拟化，以便可以在由 NVIDIA vGPU 技术驱动的虚拟机 (VM) 中运行计算密集程度极高的工作负载（例如人工智能、深度学习和数据科学）。
1.2.2 NVIDIA RTX 虚拟工作站 (vWS)支持DiriectX，OpenGL，Vulkan等图形API，同时支持CUDA/OpenCL计算API，适用于使用图形应用程序的创意和技术专业人士的虚拟工作站。
【精选资料】NVIDIA的专业图形显卡Quadro NVS和Quadro FX全面介绍
NVIDIA的专业图形显卡Quadro NVS和Quadro FX全面介绍1。
关于NVIDIA Quadro NVS 系列产品的介绍：－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－最新商用笔记本PC 图形系列采用全新的GPU系列，这款最新的NVIDIA Quadro NVS 系列产品（2007 Launch）可提供可靠性、稳定性、生产力、可管理性与最新的图形技术的完美结合。
PowerMizer™ 7.0 技术先进的第七代NVIDIA硬件电源管理技术，可以智能、主动降低笔记本能耗和图形子系统的散热，从而让用户拥有真正移动的、散热良好和安静的终极用户体验。
应用程序兼容性测试通过与业界主要商用应用程序的兼容性测试，其中包括Microsoft® Office Suite、Lotus Notes®、McAfee® Virus Scan、pcAnywhere®、Bloomberg®、Tradestation™、Hummingbird Exceed®, Reuters® 等。
NVIDIA® ForceWare® 统一驱动程序架构(UDA)为最广泛的商用应用程序提供成熟的兼容性、可靠性、稳定性。
ForceWare 可以为每位用户提供最佳的即用体验，在整个NVIDIA Quadro NVS GPU 寿命期限内均可提供连续的性能和功能更新。
专为Microsoft® Windows Vista™ 构筑NVIDIA 的第四代GPU 架构专为Windows Vista 而构筑，可以通过Windows Aero 3D 图形用户界面为用户提供终极体验1，并继续为Windows XP 提供完全支持。
完全Microsoft® DirectX® 10 支持世界上第一个具有完全Shader Model 4.0 支持的DirectX 10 GPU 系列，提供无与伦比的图形逼真度和影片级效果。
英伟达nvidia NVS系列显卡
英伟达nvidia显卡quadro nvs 3100m参数表以及性能介绍2010-02-03 15:49:05采用nvidia（英伟达）cuda技术的nvidia(英伟达）nvs gpu（图形处理器）可最多搭载48个处理器核心，其大规模计算性能可以加速视频和图片编辑、分析以及地理影像处理，其速度比主流cpu最高提升10倍1nvidia quadro nvs架构如今扩展至商用笔记型计算机市场。
结合领先业界的硬件与软件，开发出一套完整的解决方案，nvidia quadro nvs笔记型计算机解决方案提供符合现今专业人士要求的可靠度、稳定度、易用性，并通过各种商业应用软件的兼容性测试。
不论您身处在办公室或外出，都能透过搭载nvidia quadro nvs 110m的笔记型计算机，随时随地执行各种商务应用。
gpu技术规格:cuada核心 16cuda并行处理器核心 72显存技术规格:显存总容量最大512mmb显存位宽 64-bit核心频率 (mhz) 1470支持的特性:directcomputer 支持opengl 支持directx 10 支持h.264、vc1、mpeg2 视频解码器支持nview显示器管理软件支持hdmi 7.1 声道高清音频支持purevideo高清1080p 支持支持hdmi 1.3 最大1920x1080支持pci express 2.0 支持支持vga 模拟显示器最大 2048x1536支持displayport 多显示器模式最大2560x1600hdcp 内容保护支持全规格蓝光解码支持- 使视频格式转换软件的速度实现最高达10倍的提升，例如elemental公司出品的badaboom软件、pegasys公司出品的tmpgenc 4.0软件。
另外，利用muvee reveal将影集打造成幻灯片电影，还可以利用motiondsp公司出品的vreveal软件自动提升视频片段的清晰度。
NVIDIA全系列显卡对照表
NVIDIA全系列显卡对照表在PC组件中，显卡的发展可谓是最快的，几乎每过几个月，便会有新的显卡产品问世。
许多用户常常会被名目繁多的显卡型号弄得眼花缭乱，搞不清楚不同型号间的性能指标、参数差异。
为更好地帮助用户比较不同显卡，我们将NVIDIA全系列显卡规格、参数作成如下对照表，供用户参考。
——当然，并不是绝对意义上的NVIDIA全系列显卡，某些过老的型号如TNT等因早已从市面上消失多年而排除在外。
NVIDIA全系列显卡对照表显卡型号核心频率显存频率显存位宽显存传输率像素/时钟同期Direct XGeForce 4 MX 440 AGP 8x 275 MHz 512 MHz 128位8.1 GB/s 2 7GeForce MX 4000 250 MHz ★32位、64位或128位★2 7GeForce FX 5200 250 MHz 400 MHz 64位or 128位3.2 GB/s or 6.4 GB/s 4 9.0 GeForce FX 5200 Ultra 350 MHz 650 MHz 128位10.4 GB/s 4 9.0GeForce FX 5600 325 MHz 550 MHz 128位8.8 GB/s 4 9.0GeForce FX 5500 270 MHz 400 MHz 64位or 128位3.2 GB/s or 6.4 GB/s 4 9.0 GeForce FX 5600 Ultra 500 MHz 800 MHz 128位12.8 GB/s 4 9.0GeForce FX 5700 LE 250 MHz 400 MHz 128位6.4 GB/s 4 9.0GeForce FX 5700 425 MHz 600 MHz 128位9.6 GB/s 4 9.0GeForce FX 5700 Ultra 475 MHz 900 MHz 128位14.4 GB/s 4 9.0GeForce FX 5800 400 MHz 900 MHz 128位14.4 GB/s 8 9.0GeForce FX 5800 Ultra 500 MHz 1 GHz 128位16 GB/s 8 9.0GeForce FX 5900 XT 390 MHz 680 MHz 256位21.7 GB/s 8 9.0GeForce FX 5900 400 MHz 850 MHz 256位27.2 GB/s 8 9.0GeForce FX 5900 Ultra 450 MHz 850 MHz 256位27.2 GB/s 8 9.0GeForce FX 5950 Ultra 475 MHz 950 MHz 256位30.4 GB/s 8 9.0GeForce PCX 5300 325 MHz 650 MHz 128位10.4 GB/s 4 9.0GeForce PCX 5750 475 MHz 900 MHz 128位14.4 GB/s 4 9.0GeForce PCX 5900 350 MHz 500 MHz 256位17.6 GB/s 8 9.0GeForce PCX 5950 475 MHz 900 MHz 256位30.4 GB/s 8 9.0GeForce 6200 300 MHz 550 MHz 128位8.8 GB/s 4 9.0cGeForce 6200 LE 350 MHz 550 MHz 64位4.4 GB/s 2 9.0cGeForce 6200 (TC) 350 MHz 666 MHz ★32位or 64位2.66 GB/s or 5.32 GB/s ★4 9.0cGeForce 6500 (TC) 400 MHz 666 MHz ★32位or 64位2.66 GB/s or 5.32 GB/s ★4 9.0cGeForce 6600 300 MHz 550 MHz ★64位or 128位4.4 GB/s or 8.8 GB/s ★8 9.0c GeForce 6600 DDR2 350 MHz 800 MHz ★128位12.8 GB/s ★8 9.0cGeForce 6600 LE 300 MHz ★64位or 128位★4 9.0cGeForce 6600 GT 500 MHz 1 GHz 128位16 GB/s 8 9.0cGeForce 6600 GT AGP 500 MHz 900 MHz 128位14.4 GB/s 8 9.0cGeForce 6800 LE 300 MHz 700 MHz 256位22.4 GB/s 8 9.0cGeForce 6800 325 MHz 600 MHz 256位19.2 GB/s 12 9.0cGeForce 6800 AGP 325 MHz 700 MHz 256位22.4 GB/s 12 9.0cGeForce 6800 GS 425 MHz 1 GHz 256位32 GB/s 12 9.0cGeForce 6800 GS AGP 350 MHz 1 GHz 256位32 GB/s 12 9.0cGeForce 6800 GT 350 MHz 1 GHz 256位32 GB/s 16 9.0cGeForce 6800 Ultra 400 MHz 1.1 GHz 256位35.2 GB/s 16 9.0cGeForce 6800 Ultra Extreme 450 MHz 1.1 GHz 256位35.2 GB/s 16 9.0cGeForce 7100 GS (TC) 350 MHz 666 MHz ★64位5.3 GB/s ★4 9.0cGeForce 7300 SE (TC) 225 MHz ★64位★4 9.0cGeForce 7300 LE (TC) 450 MHz 648 MHz ★64位5.2 GB/s ★4 9.0cGeForce 7300 GS (TC) 550 MHz 810 MHz ★64位6.5 GB/s ★4 9.0cGeForce 7300 GT (TC) 350 MHz 667 MHz 128位10.6 GB/s 8 9.0cGeForce 7600 GS 400 MHz 800 MHz 128位12.8 GB/s 12 9.0cGeForce 7600 GT 560 MHz 1.4 GHz 128位22.4 GB/s 12 9.0cGeForce 7800 GS 375 MHz 1.2 GHz 256位38.4 GB/s 16 9.0cGeForce 7800 GT 400 MHz 1 GHz 256位32 GB/s 20 9.0cGeForce 7800 GTX 430 MHz 1.2 GHz 256位38.4 GB/s 24 9.0cGeForce 7800 GTX 512 550 MHz 1.7 GHz 256位54.4 GB/s 24 9.0cGeForce 7900 GS 450 MHz 1.32 GHz 256位42.2 GB/s 20 9.0cGeForce 7900 GT 450 MHz 1.32 GHz 256位42.2 GB/s 24 9.0cGeForce 7900 GTX 650 MHz 1.6 GHz 256位51.2 GB/s 24 9.0cGeForce 7950 GT 550 MHz 1.4 GHz 256位44.8 GB/s 24 9.0cGeForce 7950 GX2 ★★500 MHz 1.2 GHz x2 256位x2 38.4 GB/s x2 24 x2 9.0c GeForce 8800 GTS ★★★500 MHz / 1.2 GHz 1.6 GHz 320位64 GB/s 96 10 GeForce 8800 GTX ★★★575 MHz / 1.35 GHz 1.8 GHz 384位86.4 GB/s 128 10NVIDIA全系列显卡对照表补充说明下面对上页表格中部分内容作一补充说明表中以“★”标注的显卡，NVIDIA允许显卡制造商可使用与默认参数不同的显存频率或显存位宽，因此，其最终的显存传输率也会相应地变化，与GPU出厂默认指标有所区别。
NVIDIA GPU产品选购指南说明书
ACP-2020GMIC-770 V3+MIC-75GF10SKY-MXM-A4500SKY-MXM-A4500-6SDASKY-MXM-A500SKY-MXM-A500-4SHASKY-MXM-RTX3000SKY-MXM-R3000-6HDASKY-MXM-T1000SKY-MXM-T1000-4HDBNVIDIA RTX 6000 AdaNVIDIA RTX A6000NVIDIA RTX A2000 12GBSKY-QUAD-T1000-8-BNVIDIA T1000 8GBSKY-TESL-L4-24PNVIDIA L4NVIDIA A40Industrial GPU SolutionsNVIDIA Elite PartnerDelivers a wide range of Industrial GPU Solutions with early authorized access andexclusive technical support.RTX GPU Cards in IndustrialComprehensive offerings for image processing and Edge AI acceleration in manufacturing, transportation, and medicalindustries.Qualified and Certified SystemsNVIDIA-qualified and certified systems ensure hardware stability and softwarecompatibility.☞Qualified System Catalog☞NVIDIA MXM GPU cards: supported, – : not supported, : optionalAdvantech MXM series are compact in size and rugged in design with a small form factor and low power consumption. They fit perfectly in the limited spaces of applications such as surgery, gaming, and autonomous driving.☞NVIDIA Quadro GPU cards: supported, – : not supported, : optionalDesigned and built to accelerate any professional workflow, NVIDIA RTX professional GPU cards feature large memory, advanced enterprise features, optimized drivers, and certification for industrial applications.ADALOVELACEADALOVELACE☞NVIDIA Quadro GPU cards: supported, – : not supported, : optional☞☞NVIDIA T4: supported, – : not supported, : optionalNVIDIA Tesla GPU cardsAccelerating the most demanding HPC and hyperscale data center workloads, delivering the horsepower needed to run bigger simulations faster than ever before, and for supporting the highest performance and user density applications.☞。
作图用什么显卡
作图用什么显卡作图时使用什么显卡主要取决于作图的要求和使用场景。
以下是几种常见的作图显卡及其适用情况的介绍：1. NVIDIA GeForce系列：GeForce系列显卡是一种通用型显卡，适用于一般的图像处理和绘图任务。
它们提供较好的性能和良好的图像渲染效果，适用于一般的二维和三维作图。
2. NVIDIA Quadro系列：Quadro系列显卡是专为专业应用而设计的显卡，适用于需要处理大型、复杂、高分辨率的三维模型和动画的专业艺术家、工程师和设计师。
它们提供更高的计算能力和专业级的图形处理功能，能够在处理大型数据集时提供更好的性能和稳定性。
3. AMD Radeon系列：Radeon系列显卡是AMD公司推出的一种通用型显卡，适用于一般的图像处理和绘图任务。
它们提供较好的性能和良好的图像渲染效果，可用于一般的二维和三维作图。
4. AMD Radeon Pro系列：Radeon Pro系列显卡是专为专业应用而设计的显卡，适用于需要处理大型、复杂、高分辨率的三维模型和动画的专业艺术家、工程师和设计师。
它们提供更高的计算能力和专业级的图形处理功能，能够在处理大型数据集时提供更好的性能和稳定性。
5. Intel集成显卡：在某些轻量级的图像处理任务中，例如简单的图像编辑和绘图，一些具有集成显卡的处理器（如Intel的核心显卡）可能已经足够满足需求。
这些集成显卡没有独立的显存和专门的图形处理单元，但可以提供一些基本的图形处理能力。
在选择显卡时，还应考虑以下因素：- 内存大小：较大的显存可以在处理大型数据集时提供更好的性能。
- CUDA核心数（NVIDIA显卡）：更多的CUDA核心可以提供更高的并行计算性能。
- 相应的驱动程序和软件支持：良好的驱动程序和软件支持可以提高显卡的兼容性和稳定性。
- 散热设计：一些高端显卡会产生较高的热量，因此需要考虑显卡的散热设计，以保持显卡的稳定运行。
综上所述，选择合适的显卡应根据作图需求、预算和使用场景来决定。
GeForce 6系列
GeForce 6维基百科，自由的百科全书跳转到：导航, 搜索NVIDIA GeForce 6系列代号NV40，NV41，NV42，NV43，NV44，NV45，NV48发布日期2004年4月－2005年入门级 GPU 6100，6200，6500中端 GPU 6600，6700高端 GPU 6800DirectX 版本DirectX 9.0c，Shader Model 3.0GeForce 6是NVIDIA第六代绘图处理器的总称，其代号为NV40。
在支援微软的DirectX 9.0c规格下，全数均支援Vertex及Pixel shader 3.0版。
NVIDIA用了10亿美金研发。
该系列于2004年4月14日推出[1]并为GeForce系列的生产线增添了不少新特色，计有Pure Video功能、支援Shader Model 3.0版，以及支援SLI技术。
但是产品却仍存在GeForce FX系列的一些缺点，例如ShaderModel 2.0的表现较差。
然而在技术及市场上，NVIDIA仍可以GeForce 6系列来与ATI 同类产品竞争。
NVIDIA声称NV40核心效能比NV38提升一倍。
整体而言GeForce 6完全在高端市场击败ATi的Radeon X Series。
目录[隐藏]• 1 产品特色o 1.1 IntelliSample▪ 1.1.1 IntelliSample 3.0▪ 1.1.2 IntelliSample 4.0o 1.2 SLio 1.3 PureVideoo 1.4 Shader Model 3.0• 2 产品比较• 3 产品规格• 4 产品介绍o 4.1 GeForce 6800o 4.2 GeForce 6700o 4.3 GeForce 6600o 4.4 GeForce 6500o 4.5 GeForce 6200▪ 4.5.1 不支援TurboCache版▪ 4.5.2 支援TurboCache版▪ 4.5.2.1 桌面平台▪ 4.5.2.2 行动平台o 4.6 GeForce 6100• 5 产品列表o 5.1 GeForce 6[2]o 5.2 GeForce Go 6[3]• 6 相关条目•7 参考链接•8 外部链接[编辑] 产品特色[编辑] IntelliSample[编辑] IntelliSample 3.0•支援Rotated-Grid Antialiasing，令物件在旋转移动时减少锯齿的产生，•NV40最大支援4个样本取样，而在驱动程式中的8X模式其实是由4x Mutisample 和 2x Super Sampling合并而成。
NVIDIA专业图形解决方案产品介绍说明书
Laptop GPUs
NVIDIA RTX A5500 NVIDIA RTX A5000 NVIDIA RTX A4500 NVIDIA RTX A4000 NVIDIA RTX A3000 12GB NVIDIA RTX A2000 8GB NVIDIA RTX A1000 NVIDIA T1200 NVIDIA T600 NVIDIA RTX A500 NVIDIA T550 NVIDIA T500
NVIDIA Data Center GPUs
Demand for visualization, rendering, data science, and simulation continues to grow as businesses tackle larger, more complex workloads. Scale up your visual compute infrastructure and tackle graphicsintensive workloads, complex designs, photorealistic renders, and augmented and virtual environments at the edge with NVIDIA GPUs. Optimized for reliability in enterprise data centers, NVIDIA GPUs feature both active and passive thermal solutions to fit into a variety of servers.
24.7 21.7 18.5 17.8 14.1
9.3 7.5 3.7 3.0 7.3 3.7 3.0
NVIDIA 移动显示芯片参数一览表
GeForce GT 415M GeForce GT 420M GeForce GT 425M GPU引擎规格:GPU引擎规格:GPU引擎规格:48CUDA处理器核心96CUDA处理器核心96CUDA处理器核心1000 MHz处理器时脉(MHz)1000 MHz处理器时脉(MHz)1120 MHz处理器时脉(MHz) 3.0纹理填充速率(billion/sec)6.0纹理填充速率(billion/sec)6.7纹理填充速率(billion/sec)显存规格:显存规格:显存规格:800显存时脉(MHz)800显存时脉(MHz)800显存时脉(MHz)128-bit显存介面宽度128-bit显存介面宽度128-bit显存介面宽度25.6显存位宽(GB/sec)25.6显存位宽(GB/sec)25.6显存位宽(GB/sec)特性支持:特性支持:特性支持:PhysX, CUDA支持的技术PhysX, CUDA支持的技术PhysX, CUDAGeForce GT 435M GeForce GT 445M GeForce GTX 460MGPU引擎规格:GPU引擎规格:GPU引擎规格:96CUDA处理器核心144CUDA处理器核心192CUDA处理器核心1300 MHz处理器时脉(MHz)1180 MHz处理器时脉(MHz)1350 MHz处理器时脉(MHz)7.8纹理填充速率(billion/sec)10.6纹理填充速率(billion/sec)16.1纹理填充速率(billion/sec)显存规格:显存规格:显存规格:800显存时脉(MHz)1250显存时脉(MHz)1250显存时脉(MHz)128-bit显存介面宽度GDDR5显存介面GDDR5显存介面25.6显存位宽(GB/sec)192-bit显存介面宽度192-bit显存介面宽度特性支持:60显存位宽(GB/sec)60.0显存位宽(GB/sec)3D Vision, PhysX, CUDA支持的技术特性支持:特性支持:3D Vision, PhysX, CUDA支持的技术3D Vision, PhysX, CUDA, SLI支持的技术2-waySLI选项GeForce GT 520M GeForce GT 525M GPU引擎规格:GPU引擎规格:48CUDA处理器核心96CUDA处理器核心1480 MHz处理器时脉(MHz)1200 MHz处理器时脉(MHz) 5.9纹理填充速率(billion/sec)9.6纹理填充速率(billion/sec)显存规格:显存规格:800显存时脉(MHz)900显存时脉(MHz)GDDR3显存介面GDDR3显存介面64-bit显存介面宽度128-bit显存介面宽度12.8显存位宽(GB/sec)28.8显存位宽(GB/sec)特性支持:特性支持:PhysX, CUDA支持的技术PhysX, CUDAGeForce GT 520MX GeForce GT 540M GeForce GT 550MGPU引擎规格:GPU引擎规格:GPU引擎规格:48CUDA处理器核心96CUDA处理器核心96CUDA处理器核心1800处理器时脉(MHz)1344 MHz处理器时脉(MHz)1480 MHz处理器时脉(MHz)7.2纹理填充速率(billion/sec)10.8纹理填充速率(billion/sec)11.8纹理填充速率(billion/sec)显存规格:显存规格:显存规格:900显存时脉(MHz)900显存时脉(MHz)900显存时脉(MHz)DDR3显存介面GDDR3显存介面GDDR3显存介面64位显存介面宽度128-bit显存介面宽度128-bit显存介面宽度14.4显存位宽(GB/sec)28.8显存位宽(GB/sec)28.8显存位宽(GB/sec)特性支持:特性支持:特性支持:DirectX 11, CUDA, PhysX, Optimus3D Vision, PhysX, CUDA支持的技术3D Vision, PhysX, CUDA支持的技术GeForce GT 555M GeForce GTX 560MGPU引擎规格:GPU引擎规格:高达 144CUDA处理器核心192CUDA处理器核心高达 753绘图时脉(MHz)1550处理器时脉(MHz)高达 1506 MHz处理器时脉(MHz)24.8纹理填充速率(billion/sec)高达 16.2纹理填充速率(billion/sec)显存规格:显存规格:1250显存时脉(MHz)高达 1569 MHz显存时脉(MHz)GDDR5显存介面DDR3\DDR5显存介面最高192位显存介面宽度高达 192-bit/128-bit显存介面宽度最高60显存位宽(GB/sec)高达 50.2显存位宽(GB/sec)特性支持:特性支持: 4.1OpenGL3D Vision, PhysX, CUDA, SLI, Optimus支持的技术PCI-E 2.0汇流排支持DirectX 11, CUDA, PhysX, Optimus, 3D Vision支持的技术显示器支持:2560x1600最大数字分辨率2048x1536最大VGA分辨率GeForce GTX 570MGPU引擎规格:336CUDA处理器核心1150处理器时脉(MHz)32.2纹理填充速率(billion/sec)显存规格:1500显存时脉(MHz)GDDR5显存介面192位显存介面宽度72.0显存位宽(GB/sec)特性支持:4.1OpenGLPCI-E 2.0汇流排支持DirectX 11, 3D Vision, CUDA, PhysX, SLI, Optimus支持的技术显示器支持:2560x1600最大数字分辨率2048x1536最大VGA分辨率GPU引擎规格:700 (DDR3) MHz绘图时脉(MHz)1400 MHz处理器时脉(MHz)5.6纹理填充速率(billion/sec)显存规格:800 - 900 (1600 - 1800 data rate)显存时脉(MHz)128-bit显存介面宽度25.6 - 28.8显存位宽(GB/sec)特性支持:4.0OpenGLPCI-E 2.0 x 16汇流排支持YesWindows 7认证DirectX 11, 3D Vision, CUDA, PhysX支持的技术显示器支持:2560x1600最大数字分辨率2048x1536最大VGA分辨率Yes高位宽数字内容保护(HDCP)Yes高清多媒体介面(HDMI)1HDMI, VGA (optional), Mini HDMI, Dual Link DVIStandard Display Connector Internal针对HDMI的音讯输出标准绘图卡尺寸:5.7 inches长度2.713 inches高度Dual-slot宽度散热和功率规格:98 CGPU最高温度(摄氏)49 W绘图卡最大功率(瓦)300 W系统最小功率需求(瓦)GPU引擎规格:96CUDA处理器核心810 MHz绘图时脉(MHz)1620 MHz处理器时脉(MHz)13.0纹理填充速率(billion/sec)显存规格:1600, 900显存时脉(MHz)512 MB, 1 GB标准显存组态128-bit显存介面宽度28.8 (DDR3) – 51.2 (GDDR5)显存位宽(GB/sec)特性支持:4.0OpenGLPCI-E 2.0 x 16汇流排支持DirectX 11, 3D Vision, CUDA, PhysX支持的技术显示器支持:2560x1600最大数字分辨率2048x1536最大VGA分辨率Yes高清多媒体介面(HDMI)1HDMI, VGA, 双链路DVIStandard Display Connectors标准绘图卡尺寸:5.7英寸长度4.376英寸高度双槽宽宽度散热和功率规格:98 CGPU最高温度(摄氏)65 W绘图卡最大功率(瓦)300 W系统最小功率需求(瓦)6-pin辅助的电源连接器GPU引擎规格:192CUDA处理器核心1783 MHz绘图时脉(MHz)1566 MHz处理器时脉(MHz)25.1纹理填充速率(billion/sec)显存规格:1804 (3608 data rate)显存时脉(MHz)GDDR5显存介面128-bit显存介面宽度57.7显存位宽(GB/sec)特性支持:4.0OpenGLPCI-E 2.0 x 16汇流排支持YesWindows 7认证DirectX 11, 3D Vision, PhysX, CUDA, SLI支持的技术2-waySLI选项2显示器支持:2560x1600最大数字分辨率2048x1536最大VGA分辨率Yes高位宽数字内容保护(HDCP)Yes高清多媒体介面(HDMI)3Mini HDMI, Two Dual Link DVIStandard Display Connectors Internal针对HDMI的音讯输出标准绘图卡尺寸:8.25 inches (210 mm)长度4.376 inches (111 mm)高度Dual-Slot宽度散热和功率规格:100 CGPU最高温度(摄氏)106 W绘图卡最大功率(瓦)400 W系统最小功率需求(瓦)6-pin辅助的电源连接器GPU引擎规格:336CUDA处理器核心675 MHz绘图时脉(MHz)1350 MHz处理器时脉(MHz)37.8纹理填充速率(billion/sec)whatver运算性能显存规格:1800 MHz显存时脉(MHz)768, 1024 MB标准显存组态GDDR5显存介面192-bit or 256-bit显存介面宽度86.4 GB/s, 115.2 GB/s显存位宽(GB/sec)特性支持:4.0OpenGLPCI-E 2.0 x16汇流排支持DirectX 11, 3D Vision, 3D Vision Surround, PhysX, CUDA, SLI支持的技术1 2-waySLI选项2显示器支持:2560x1600最大数字分辨率2048x1536最大VGA分辨率Yes高位宽数字内容保护(HDCP)Yes高清多媒体介面(HDMI)2 x 双链路DVI-I, 1 x Mini HDMIStandard Display Connectors标准绘图卡尺寸:8.25英寸 (210 mm)长度4.376英寸 (111 mm)高度双槽宽宽度散热和功率规格:104GPU最高温度(摄氏)150 W绘图卡最大功率(瓦)450 W系统最小功率需求(瓦)两个6针连接器辅助的电源连接器。
全面解读NVIDIAQuadroFX系列专业显卡
“NVIDIA Quadro FX系列专业图形硬件”专栏OpenGL发展到今天，已经到了3.0版本1951年能执行辅助图形设计的旋风计算机73然，AutoCAD之类应用更是不在话下。
最常见的Quadro FX 570专业显卡Quadro FX的主流产品Quadro FX 1700专业图形市场的中流砥柱NVIDIA QuadroFX 370075性能强大的Quadro FX 4600 Quadro VX 200，具有极好的性价比和AutoCAD适用性77图1 在Autodesk Inventor 2008在Quadro FX和GeForce上的细节表现图2 在SolidWorks中拾取模型特定元素79图5 CAD模型的规模越大、真实感越强对动态显存管理和UMA功能的需求就越大图3 在CATIA这类CAD/CAM程序复杂的界面下要频繁在模型环境内弹出菜单，有Quadro FX的支持不会影响模型的快速实时复显图4 在SolidWorks环境下的剖切操作有了Quadro FX的支持流畅自如Quadro FX的硬件加速图形剖切功能三维设计软件的好处之一就是直观和产品结构的可见性好，对于结构复杂的三维实体我们经常需要进行剖切操作，以“窥视”产品的内部结构或部件之间的连接关系，而且剖面也是工程图形语言中必不可少的表述方式之一。
Quadro 件架构能对剖切操作进行加速，提高操作效率，改善应用体验。
越是复杂的模型这Quadro FX的动态显存管理和UMA功能针对专业图形的Quadro FX显卡具图9 所有Quadro FX显卡均有NVIDIA原厂设计制造图6 是否支持双面光源在三维软件里区别非常明显Quadro FX的双面光源处理在计算机中显示三维模型需要通过三角形或多边性的面片，这些面片组成了多姿多彩的三维世界。
而为了得到真实感的三维模型，必须考虑光源问题，必须通过计算机模拟自然界光源的反射、散射等效果。
Quadro FX支持双面光源Quadro FX的专业软件认证和优化为了保证在各种CAD/DCC专业软件中获得最佳表现，Quadro FX全系列显卡都额外进行一项工作：专业软件认证。
Nvidia处理器深度分析
在智能手机快速普及的今天，手机处理器芯片的性能逐渐开始为人们所关注，成为用户和终端厂商都绕不开的核心话题。
为了让网友更加深入地了解，处理器在智能手机中所发挥的核心作用，我们将就手机处理器芯片这个核心部件展开深入探讨，详细解读目前几家主流手机处理器芯片厂商的相关产品。
以图形处理器著称的NVIDIA(英伟达)公司首先要为大家介绍的是一个近几年发展迅猛的新锐手机处理器芯片品牌—NVIDIA（英伟达），提及NVIDIA 这家世界著名图形处理器研发制造商，相信很多人并不陌生，PC平台上广受好评的Geforce系列显卡就出自NVIDIA。
而自从2008年开始，NVIDIA洞悉了移动智能终端平台的发展潜力，进而开始涉足手机终端芯片的研发与制造领域。
为了让网友更加深入地了解NVIDIA手机处理器芯片在产品研发上的优势以及一些网友所关心的相关问题，我们网易手机频道也采访了英伟达中国区市场经理施澄秋。
生不逢时的Tegra一代处理器早在NVIDIA推出旗下移动处理器品牌Tegra之前，在2008年2月11日就发布了适用于智能手机以及PDA平台的APX2500处理器，该处理器集成了一个主频为750MHz的ARM 11处理器以及一个显示核心，处理器采用65nm工艺制程，拥有256KB的二级缓存，而集成的显示核心是基于Geforce 6核心架构，支持OpenGL ES 2.0和Direct3D Mobile标准，其低耗电的架构设计使得智能手机等移动设备能够长时间播放音乐以及视频。
第一代NVIDIA Tegra处理器芯片Tegra一代处理器的核心架构图APX2500这款处理器其实是由NVIDIA和微软联合研制的，后续还推出了APX2600(强化对NAND快闪存储器的支持)。
目的在于结合NVIDIA在图形处理方面的技术优势，提高当时Windows Mobile平台产品的多媒体处理能力。
而凭借超低耗电的GeForce核心以及出众的多媒体性能，这款处理器在当时看来可谓性能十分强大，包括微软的Zune HD就采用了Tegra芯片。
NVIDIA NVS 专业商务图形设备文档说明书
Form Factor
Display IO Supported Displays Thermal Energy Star
NVS 300 16 512 MB DDR3 12.6 GB/s (64-bit) 17.5 W 2.731” x 5.7” PCIE Gen2 Available in x16 or x1 PCIE DMS-59 (1) VGA, SL-DVI-I, DisplayPort, HDMI Passive (Fanless) Heatsink Yes
Low Profile (PCIe x16 and x1)
Quad DisplayPort Quad DVI-D (Single/Dual-Link) Quad VGA
Quad DisplayPort Quad DVI-D (Single-Link)
Dual DVI-I(Single Link) Dual VGA Dual Display Port
NVIDIA® NVS™ Professional Business Graphics
December 2010
History of NVIDIA® Business Graphics
2001 – 2003
2003 – 2006
2006 – 2009
2010 -
NVIDIA DOCA 参考应用在主机上的操作用户指南 (MLNX-15-060490 v1.1，2
Running NVIDIA DOCA Reference Applications Over HostUser GuideTable of ContentsChapter 1. Introduction (1)Chapter 2. Prerequisites (2)Chapter 3. Configuration Flow (5)Chapter 1.IntroductionThere might several reasons for running application on the host. For example, one might want to utilize a strong and high-resource host machine, or to start DOCA integration on the host before offloading it to the BlueField DPU.The configuration in this document allows the entire application to run on the host’s memory, while utilizing the HW accelerators on the BlueField (e.g., using RegEx the accelerator on BlueField using a daemon running on the DPU).When virtual functions are enabled on the host, virtual function representors are visible on the Arm side which can be bridged to corresponding physical interface representors (e.g., the uplink representor and the host representor). This allows the application to only scan traffic being forwarded to the VFs as configured by the user and to behave as a simple "bump-on-the-wire" solution. DOCA installed on the host allows accessing the hardware capabilities of the BlueField DPU without comprising features such as the stateful table (SFT) which uses hardware offload and additional hardware steering elements embedded inside the eSwitch.Chapter 2.PrerequisitesRunning applications on the host and using the RegEx accelerator on the BlueField require enabling the RegEx engine.To run all the reference applications over the host, it is required to install the host DOCA version of DPDK. For more information on host installation, please refer to DOCA Installation Guide.Note: VFs must be configured as trusted for hardware jump action to work as intended. Runthe following command on the Arm device:mlxreg -d /dev/mst/mt41686_pciconf0 --reg_id 0xc007 --reg_len 0x40 --indexes "0x0.0:32=0x80000000" --yes --set "0x4.0:32=0x1"To run the application over the host, the following topology is be used.Configure the OVS on BlueField as follows:Bridge ovsbr1Port ovsbr1Interface ovsbr1type: internalPort pf0hpfInterface pf0hpfPort pf0vf1Interface pf0vf1Bridge vf_brPort p0Interface p0Port vf_brInterface vf_brtype: internalPort pf0vf0Interface pf0vf0Enabling VF over the host bridges the uplink connection (p0) to one end of the VF created(pf0vf0), and the other end (pf0vf1) to the host representors (pf0phf). On the host, the same application is run but 3 PCIe addresses are used:The first one for initiating the RegEx (must be done on interface 0), and the other 2 PCIe address to initialize the virtual function. Now, whentraffic is received (e.g., from the uplink), the following flow occurs:1.Traffic is received over p0.2.Traffic is forwarded to pf0vf0.3.Application "listens" to pf0vf0 and pf0vf1 and can, therefore, acquire the traffic from pf0vf0,inspect it, and forward to pf0vf1.4.Traffic is forwarded from pf0vf1 to pf0hpf.Chapter 3.Configuration Flow1.Stop the driver on the host. Run:host$ sudo /etc/init.d/openibd stop2.On the Arm, start the driver. Run:dpu$ sudo /etc/init.d/openibd start3.On the Arm, enable RegEx. Run:dpu$ echo 1 > /sys/class/net/p0/smart_nic/pf/regex_en4.On the Arm, add 200 huge pages. Run:dpu$ current_huge='cat /sys/kernel/mm/hugepages/hugepages-2048kB/nr_hugepages' dpu$ echo $((200 + current_huge)) > /sys/kernel/mm/hugepages/hugepages-2048kB/ nr_hugepages5.On the Arm, start mlx RegEx. Run:dpu$ systemctl start mlx-regexNote: If it has not been set before, the previous value of huge pages should be 2048 orhigher (depending on the number of cores).6.Verify that the service is running. Run:dpu$ systemctl status mlx-regex7.The host can now run RegEx. Run:host$ sudo /etc/init.d/openibd startNote: Running DPDK over the host requires configuring huge pages to be identical to the DPUconfiguration.Running the application over the host also initializes all the cores of the device which is usually unnecessary and may even cause unforeseeable issues. It is recommended to limit the number of cores, especially when using an AMD-based system, to 16 cores using the -c flag when running DPDK.The following is a CLI example for running a reference application over the host using VF:./opt/mellanox/doca/example/**/bin/*executable* -a "pci address VF0" -a "pci address VF1" -c 0xff -- "application flags"Note: The executable will fail if no correct LD_LIBRARY_PATH is set. To set LD_LIBRARY_PATH,execute the following.‣For Ubuntu:export LD_LIBRARY_PATH=/opt/mellanox/dpdk/lib/aarch64-linux-gnu/‣For CentOS:Configuration Flow export LD_LIBRARY_PATH=/opt/mellanox/dpdk/lib64NoticeThis document is provided for information purposes only and shall not be regarded as a warranty of a certain functionality, condition, or quality of a product. NVIDIA Corporation nor any of its direct or indirect subsidiaries and affiliates (collectively: “NVIDIA”) make no representations or warranties, expressed or implied, as to the accuracy or completeness of the information contained in this document and assume no responsibility for any errors contained herein. NVIDIA shall have no liability for the consequences or use of such information or for any infringement of patents or other rights of third parties that may result from its use. This document is not a commitment to develop, release, or deliver any Material (defined below), code, or functionality.NVIDIA reserves the right to make corrections, modifications, enhancements, improvements, and any other changes to this document, at any time without notice. Customer should obtain the latest relevant information before placing orders and should verify that such information is current and complete.NVIDIA products are sold subject to the NVIDIA standard terms and conditions of sale supplied at the time of order acknowledgement, unless otherwise agreed in an individual sales agreement signed by authorized representatives of NVIDIA and customer (“Terms of Sale”). NVIDIA hereby expressly objects to applying any customer general terms and conditions with regards to the purchase of the NVIDIA product referenced in this document. No contractual obligations are formed either directly or indirectly by this document.NVIDIA products are not designed, authorized, or warranted to be suitable for use in medical, military, aircraft, space, or life support equipment, nor in applications where failure or malfunction of the NVIDIA product can reasonably be expected to result in personal injury, death, or property or environmental damage. NVIDIA accepts no liability for inclusion and/or use of NVIDIA products in such equipment or applications and therefore such inclusion and/or use is at customer’s own risk. NVIDIA makes no representation or warranty that products based on this document will be suitable for any specified use. Testing of all parameters of each product is not necessarily performed by NVIDIA. It is customer’s sole responsibility to evaluate and determine the applicability of any information contained in this document, ensure the product is suitable and fit for the application planned by customer, and perform the necessary testing for the application in order to avoid a default of the application or the product. Weaknesses in customer’s product designs may affect the quality and reliability of the NVIDIA product and may result in additional or different conditions and/or requirements beyond those contained in this document. NVIDIA accepts no liability related to any default, damage, costs, or problem which may be based on or attributable to: (i) the use of the NVIDIA product in any manner that is contrary to this document or (ii) customer product designs.No license, either expressed or implied, is granted under any NVIDIA patent right, copyright, or other NVIDIA intellectual property right under this document. Information published by NVIDIA regarding third-party products or services does not constitute a license from NVIDIA to use such products or services or a warranty or endorsement thereof. Use of such information may require a license from a third party under the patents or other intellectual property rights of the third party, or a license from NVIDIA under the patents or other intellectual property rights of NVIDIA.Reproduction of information in this document is permissible only if approved in advance by NVIDIA in writing, reproduced without alteration and in full compliance with all applicable export laws and regulations, and accompanied by all associated conditions, limitations, and notices.THIS DOCUMENT AND ALL NVIDIA DESIGN SPECIFICATIONS, REFERENCE BOARDS, FILES, DRAWINGS, DIAGNOSTICS, LISTS, AND OTHER DOCUMENTS (TOGETHER AND SEPARATELY, “MATERIALS”) ARE BEING PROVIDED “AS IS.” NVIDIA MAKES NO WARRANTIES, EXPRESSED, IMPLIED, STATUTORY, OR OTHERWISE WITH RESPECT TO THE MATERIALS, AND EXPRESSLY DISCLAIMS ALL IMPLIED WARRANTIES OF NONINFRINGEMENT, MERCHANTABILITY, AND FITNESS FOR A PARTICULAR PURPOSE. TO THE EXTENT NOT PROHIBITED BY LAW, IN NO EVENT WILL NVIDIA BE LIABLE FOR ANY DAMAGES, INCLUDING WITHOUT LIMITATION ANY DIRECT, INDIRECT, SPECIAL, INCIDENTAL, PUNITIVE, OR CONSEQUENTIAL DAMAGES, HOWEVER CAUSED AND REGARDLESS OF THE THEORY OF LIABILITY, ARISING OUT OF ANY USE OF THIS DOCUMENT, EVEN IF NVIDIA HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES. Notwithstanding any damages that customer might incur for any reason whatsoever, NVIDIA’s aggregate and cumulative liability towards customer for the products described herein shall be limited in accordance with the Terms of Sale for the product.TrademarksNVIDIA, the NVIDIA logo, and Mellanox are trademarks and/or registered trademarks of Mellanox Technologies Ltd. and/or NVIDIA Corporation in the U.S. and in other countries. Other company and product names may be trademarks of the respective companies with which they are associated.Copyright© 2021 NVIDIA Corporation & affiliates. All rights reserved.NVIDIA Corporation | 2788 San Tomas Expressway, Santa Clara, CA 95051。
NVIDIANV1
NVIDIANV1NV1 / STG2000X B代号NV1发布⽇期1995年5⽉低端GPU NV1中端GPU NV1⾼端GPU NV1DirectX版本不相容OpenGL版本不相容NV1是由NVIDIA⽤了两年时间研发，于1995年5⽉推出的显⽰芯⽚[1]。
它亦是NVIDIA⾃创⽴起的⾸款产品。
NVIDIA曾授权SGS Thomson Microelectronics⽣产，型号为STG2000X。
⽬录1 产品介绍2 产品列表3 参考连结4 相关条⽬5 外部链接产品介绍当时还没有像Direct3D的多边形3D标准，所以nVIDIA使⽤了⼆次⽅程纹理贴图作为⽴体图形的实现⽅式。
它不但拥有完整的2D/3D核⼼，还内建了声⾳处理核⼼。
这个声⾳处理核⼼的性能有350 MIPS，能处理简单的⽴体声，但这个⾳效核⼼的功能相⽐很多同期的声卡为差，还含有⼀个DMA引擎，能利⽤PCI接⼝，与系统内存直接交换数据，避免占⽤显⽰内存。
说回显核部分，它⾸次使⽤VRAM作为显存。
游戏接⼝⽅⾯，NV1直接⽀持世嘉⼟星游戏⼿柄和操纵杆。
随后微软在Windows 95制订了Direct3D多边形⽴体标准，纵使NV1的⼆次⽅程纹理贴图是出⾊的技术，但始终不兼容Direct3D，亦不⽀援当时还很流⾏的GLIDE。
Diamond推出的NV1⼤幅度降低了产品售价，并附送⼀个世嘉⼟星游戏⼿柄，都⽆济于事。
NV1始终未能打进主流市场，⽽电脑⼚商也拒绝使⽤不兼容Direct3D的图形芯⽚。
为了节省开⽀以研发Direct3D图形芯⽚，NVIDIA解雇了部分员⼯。
聪泰推出的YUAN⼩影霸3DS-100，芯⽚是STG2000X帝盟推出的EDGE 3D 2120，芯⽚是STG2000X帝盟推出的EDGE 3D 3400，芯⽚是NV1产品列表以下为已知采⽤NV1（STG 2000X）芯⽚的产品Aztech（爱捷特）3D GalaxyCore-DynamicsDynaGraFx 3-DDiamond Multimedia（帝盟多媒体）EDGE 3D 2120EDGE 3D 2200EDGE 3D 3240EDGE 3D 3400Focus TNC型号未知Genoa Systems（热那亚系统）Stratos 3DJazz Multimedia（爵⼠多媒体）3D MagicKasan Electronics（佳⼭电⼦）型号未知Leadtek（丽台）WinFast Proview 3D GD400WinFast Proview 3D GD500MediaForteVideoForte VF64-3DG-01VideoForte VF64-3DG-02Yuan（聪泰）JRS-3DS100参考连结1. ^ NVIDIA官⽅产品时间线相关条⽬NVIDIA显⽰核⼼列表外部链接中相关的多媒体资源：NVIDIA NV1NVIDIA 1995 产品时间线（英⽂）NVIDIA绘图处理器固定功能管线早期产品NV1NV2RIVA系列128TNTTNT2 / Vanta GeForce系列GeForce 2562系列3系列4系列FX/PCX/5系列6系列7系列统⼀着⾊器架构（英语：Unified shadersmodel）GeForce系列8系列9系列100系列200系列300系列400系列500系列600系列700系列800系列900系列10系列16系列20系列微架构特斯拉（英语：Tesla (microarchitecture)）费⽶（英语：Fermi (microarchitecture)）开普勒（英语：Kepler (microarchitecture)）麦斯维尔（英语：Maxwell (microarchitecture)）帕斯卡伏打图灵（英语：Turing (microarchitecture)）其他产品中央处理器Denver系列主板芯⽚组nForce系列初代234/400（包括MCP51 / 61）500600（包括MCP68/73）700（包括MCP78/79/7A）800900Professional 2000 Professional 3000⼯作站⾼性能计算Quadro系列2DCC4FXCXVXNVSPlexQuadro G-Sync SDITesla系列遊戲機NV2A (Xbox)RSX (PlayStation 3)Tegra NX-SoC (Nintendo Switch) Shield PortableShield Tablet（英语：Shield Tablet）Shield Android TVGeForce Now（前称GeForce GRID）多媒体整合平台系统芯⽚GoForce系列ION系列Tegra系列桥接芯⽚HSIBR02BR03BR04NF200技术与软件多媒体加速PureVideo （视讯解码）NVENC （英语：NVIDIA NVENC ）（视讯编码）图形处理技术相关Surround （英语：Nvidia Surround ）3D Vision / 3D SurroundActiveArmor （英语：ActiveArmor ）G-Sync （英语：Nvidia G-Sync ）SLIHybridPower TurboCache Optimus芯⽚组相关技术FirstPacket DualNet MediaShield LinkBoost PowerMizer SmartDimmer SoundStorm其它硬件技术及标准MXM EPPESA NVLink驱动程式和软件ForceWare （GPU 驱动程式）Verde （移动设备GPU 驱动程式）GameWorks （英语：Nvidia GameWorks ）PhysXOptiX （英语：OptiX ）VDPAU nView nTuneSystem Utility （英语：Nvidia System Tools ）Gelato Cg CUDA其它相关并购企业3dfx Interactive Ageia ExlunaHybrid GraphicsIcera （英语：Icera ）iReadyMediaQMental Images （英语：mental Images (firm)）Pace Soft Silicon PortalPlayer RayScale Stexar ULiJen-Hsun Huang （黄仁勋）Chris Malachowsky （克⾥斯·马拉科夫斯基）（英语：Chris Malachowsky ）Curtis Priem （克蒂斯·普⾥姆）（英语：Curtis Priem ）David Kirk （⼤卫·柯克）（英语：David Kirk (scientist)）David Rosenthal （⼤卫·罗森塔尔）Marvin Burkett （马⽂·伯克特）Bill Dally （⽐尔·戴利）（英语：Bill Dally ）关键⼈物Ranga Jayaraman（兰格·贾亚拉曼）Joseph Greco（约瑟夫·葛雷柯）Jeff Fisher（杰夫·费舍尔）Jonah Alben（约拿·阿尔本）Brian Kelleher（布莱恩·凯勒赫尔）Philip Carmack（菲利普·卡马克）Dwight Diercks（德怀特·狄耶克斯）Frank Fox（弗兰克·富克斯）Gary Tarolli（盖瑞·塔罗利）。
nVIDIA正式发布GF4全系列图形处理器
nVIDIA正式发布GF4全系列图形处理器
佚名
【期刊名称】《电脑采购》
【年(卷),期】2002(000)006
【摘要】<正> 新春之际,nVIDIA正式发布了他们的GeForce4全系列图形处理核心。
GF4的全面发布包括了从高端到低端的全系列GPU产品,而这些产品又分为GF4 Ti(NV25)系列和GF4 MX(NV17)系列,MX系列的GPU主要面对的是大众消费市场,Ti系列产品则相对高端一些。
此外nVIDIA还正式发布了世界上跑得最快的笔记本图形处理GPU,GeForce4440Go,这款GPU时下已经出现在了东芝公司的Satellite 5005-S507笔记本上。
以下是nVIDIA官方发布的产品配置和价格信息。
【总页数】1页(P9-9)
【正文语种】中文
【中图分类】TP334.7
【相关文献】
1.NVIDIA在中国正式发布Quadro V100,实时光线追踪和AI技术成为热点 [J], 齐健;
2.NVIDIA在中国正式发布Quadro V100,实时光线追踪和AI技术成为热点 [J], 齐健
3.NVIDIA正式发布GeForce GTX 1080／1070 [J],
4.nVidia发布两款新的图形处理器 [J],
5.NVIDIA正式发布GTX 10系列笔记本显卡 [J],
因版权原因，仅展示原文概要，查看原文内容请购买。