Windows 10: Intel announces XPU Vision with oneAPI and Intel Server GPU

Brink · Nov 11, 2020

Whatâs New: Intel today announced key milestones in its multiyear journey to deliver a mix of architectures with a unified software experience. The company announced the gold release of IntelÂ® oneAPI toolkits coming in December, and new capabilities in its software stack as part of the Intelâs combined hardware and software design approach. Intel also debuted its first discrete graphics processing unit (GPU) for the data center, IntelÂ® Server GPU, based on the Xe-LP microarchitecture and designed specifically for high-density, low-latency Android cloud gaming and media streaming.
âToday is a key moment in our ambitious oneAPI and XPU journey. With the gold release of our oneAPI toolkits, we have extended the developer experience from familiar CPU programming libraries and tools to include our vector-matrix-spatial architectures. We are also launching our first data center GPU based on Xe-LP microarchitecture focused on the fast-growing cloud gaming and media streaming segments.â
âRaja Koduri, Intel senior vice president, chief architect and general manager of Architecture, Graphics and Software
Why It Matters: As the world moves into an era of billions of intelligent devices and an exponential growth of data, CPUs alone require a shift in focus to a mix of architectures across CPUs, GPUs, FPGAs and other accelerators. Intel collectively describes this as âXPUâ vision. The launch of the Intel Server GPU is another step to extend Intelâs offering in the XPU era.

This era of computing also requires a comprehensive software stack. Developers will be able to access a common, open and standards-based programming model across IntelÂ® XPUs with Intelâs oneAPI toolkits. They deliver on the performance potential of the underlying hardware and lower software development and maintenance costs while reducing risks associated with deploying accelerated computing relative to proprietary, vendor-specific solutions.

About the Gold Release of Intel oneAPI Toolkits: First announced at SuperComputing 2019, the oneAPI industry initiative is a bold vision for a unified and simplified cross-architecture programming model that delivers uncompromised performance without proprietary lock-in while enabling the integration of legacy code. With oneAPI, developers can choose the best architecture for the specific problem they are trying to solve without needing to rewrite software for the next architecture and platform.

Intel oneAPI toolkits take full advantage of cutting-edge hardware capabilities and instructions such as IntelÂ® AVX-512 and IntelÂ® DL Boost on CPUs, along with features unique to XPUs. Built on long-standing and proven Intel developer tools, Intel oneAPI toolkits deliver familiar languages and standards while providing full continuity with existing code.

Today Intel announced that the gold release of Intel oneAPI toolkits will be shipping in December, available for free, locally and in the IntelÂ® DevCloud, along with commercial versions that include worldwide support from Intel technical consulting engineers. Intel will immediately transition IntelÂ® Parallel Studio XE and IntelÂ® System Studio tool suites to its oneAPI products.

In addition, the Intel DevCloud, where developers can test code and workloads on a variety of Intel architectures, is expanding to include new IntelÂ® IrisÂ® Xe graphics hardware. Intel Iris Xe MAX graphics is now available for public access; and Intel Xe-HP is available to select developers.

oneAPI has received industry support, including recent endorsements from Microsoft Azure and TensorFlow; leading research organizations, companies and universities also endorse oneAPI.

In addition, the University of Illinois Beckman Institute for Advanced Science and Technology today announced the establishment of a new oneAPI center of excellence (CoE). It is using the oneAPI programming model to extend the life sciences application nanoscale molecular dynamics (NAMD) to additional computing environments. NAMD, which simulate large biomolecular systems, is helping to tackle real-world challenges such as COVID-19. This CoE joins others at the University of Stockholm (SeRC) who are focusing on GROMACS, and Heidelberg Universityâs (URZ), where theyâre focusing on delivering oneAPI support to GPUs from other vendors.

About the New Intel Server GPU: With its first discrete GPU for the data center, Intel is further expanding its rich suite of platform innovations for enhanced cloud gaming and media experiences. The combination of IntelÂ® XeonÂ® Scalable processors, open-sourced and licensed software ingredients and the new Intel Server GPU offers a high-density, low-latency solution at lower total cost of ownership (TCO) for Android cloud gaming and high-density media transcode and encode for real-time over-the-top video streaming.

The Intel Server GPU is based on Xe-LP microarchitecture, Intelâs most energy-efficient graphics architecture, offering a low-power, discrete system-on-chip design, with a 128-bit pipeline and 8GB of dedicated onboard low-power DDR4 memory.

By using Intel Server GPUs alongside Intel Xeon Scalable processors, service providers can scale graphics capacity separately from the server count, supporting larger numbers of streams and subscribers per system, while still achieving low TCO. Packaging together four Intel Server GPUs in H3Câs three-quarter-length, full-height x16 PCIe Gen 3.0 add-in card can support more than 100 simultaneous Android cloud gaming users in a typical two-card system and up to 160 simultaneous users, depending on the specific game title and server configuration.2 Developers can leverage the common API in todayâs Media SDK, which will be incorporated into the oneAPI Video Processing Library next year. Intel is working with various software and services partners, including Gamestream, Tencent Games and Ubitus, to bring the Intel Server GPU to market.

âIntel is an important collaborator on our Android Cloud Gaming solution. Intel Xeon Scalable processors and Intel Server GPUs offer a high-density, low-latency, low-power, low-TCO solution. We are able to generate over 100 game instances per two-card server for our most popular games, King of Glory and Arena of Valor,â said Allen Fang, vice general manager of Tencent XianYou Cloud Gaming Platform.

The Xe-LP-based Intel Server GPU is now shipping. Along with the recently introduced Intel IrisÂ® Xe MAX graphics, the GPU will improve the visual computing experience for users around the world as Intel ramps its Xe architecture products and software initiatives.

Whatâs New with IntelÂ® Graphics Software: One of Intelâs core strategies for success in scaling GPUs from entry-level graphics to high performance computing (HPC) is the implementation of one code base. Toward this vision, Intelâs software stack now supports multiple generations of graphics, including recently launched 11th Gen IntelÂ® Coreâ¢ processors with integrated Intel Iris Xe graphics and Intel Iris Xe MAX discrete graphics. Expanding the code base to support data center products where Linux is more prevalent is a key next step in its scalable Xe architecture strategy. Intel optimized the Linux driver to focus on code reuse between operating systems, it has increased focus on Linux 3D performance and it now delivers three fully validated and integrated distribution-ready stacks.

Revealed today, Intel created Project Flipfast to improve the Linux gaming experience. The Flipfast stack allows end users to run a graphical application in a virtual machine (VM) while retaining native GPU performance and full host integration with zero-copy sharing between the VM and host. The Flipfast stack drives increases in gaming performance, and the technology directly applies to data center game streaming applications.

Intel today announced that the IntelÂ® Implicit SPMD Program Compiler (ISPC) will run on top of oneAPI Level Zero, which provides low-level, direct-to-metal interfaces tailored to devices in the oneAPI platform and is the overall hardware abstraction layer. ISPC, powered by oneAPI, is a variant of the C programming language, which enables single program, multiple data programming and is used to accelerate IntelÂ® OSPRay ray tracing engine on Intel CPUs. Intel is adding Xe support to ISPC to seamlessly accelerate Intel oneAPI Rendering Toolkit components such as OSPRay.

Whatâs Next: At the virtual oneAPI Developer Summit on Nov. 12-13, innovators, researchers and developers are showcasing 40 collaborations and projects using oneAPI. Topics range from computational drug repurposing testing for COVID-19 to predicting crop yields. At SuperComputing 2020 starting this week, Intel, along with industry leaders and research organizations, are highlighting using oneAPI and oneAPI tools through a keynote, tech sessions, fireside chats, demos and other activities. Complete information about Intelâs presence at SuperComputing 2020 is available on Intel.com.

Intel oneAPI and graphics software stack updates and the debut of the Intel Server GPU mark monumental steps in Intelâs journey toward XPU architectures. These developments set the foundation to deliver more meaningful experiences through Intelâs six pillars of technology innovation and heterogenous architectures that will be enabled through an open standard-based unified scalable software abstraction layer in oneAPI.

More Context: Tencent Teams with Intel on XianYou Cloud Gaming Platform | oneAPI Ecosystem Support | Intel oneAPI Toolkits Fact Sheet
Click to expand...

Read more: https://newsroom.intel.com/news/inte...pi-server-gpu/

:)

[Vishal_Pandey] · Nov 11, 2020

Power Saving Gpu and High Performance gpu are same (Showing Intel r HD graphics in Both)

have 2 Gpus Intel r HD graphics and Nvidia 310m but there it is showing only Intel r Hd graphics in both power saving and high performance gpu. I have added those application I want to run in nvidia control
panel to use nvidia gpu but when i open them it still lag and i dont think it is using nvidia's Gpu, I decided to search the internet and found nothing but graphics setting to choose a gpu for an application to run but there it is showing Intel r hd Graphics
in both. Can anyone fix it ?? My PC Specs

Processor- Intel i3 m370

Integrated Gpu (Intel)- Intel r HD Graphics

Nvidia Gpu- Nvidia 310m

OS- Windows 10 1909 Pro x64

Ram- 4 GB

Feel free to ask me other things about this.

Brink · Nov 11, 2020

New OpenVINO toolkit added to Intel Vision Product lineup

New Toolkit Already in Use at Agent Vi, Dahua, Dell, Current by GE, GE Healthcare, Hikvision and Honeywell

It’s been an amazing year leading the Internet of Things (IoT) Group at Intel. During this time we have been working hard to define and develop a data-driven technology foundation for industry innovation. Our strategy is to drive end-to-end distributed computing in every vertical by focusing on silicon platforms and workload consolidation at the edge.

Critical to our success is aligning our ecosystem of partners and developers to deliver the benefits. This focused effort is paying off, as Intel’s IoT business grew by 20 percent in 2017 and continued with strong growth in this year’s first quarter.

We are seeing significant growth in IoT markets worldwide, driven in part by a dramatic increase in vision applications, particularly those leveraging artificial intelligence (AI). These imaging and video use cases span nearly every IoT segment. They include finding product defects on assembly lines, managing inventory in retail, identifying equipment maintenance needs in remote locations, and enabling public safety in cities and airports. They all leverage high-resolution cameras and create extraordinary amounts of data, which needs to be aggregated and analyzed.

More: OpenVINO™ Toolkit Accelerates CV Development across Intel® Platform (Adam Burns Blog) | Intel Customer Quotes | Internet of Things News

Given this expansive data growth, Intel announces the OpenVINO™ (Open Visual Inference & Neural Network Optimization) toolkit. The OpenVINO toolkit is designed to fast-track development of high-performance computer vision and deep learning inference applications at the edge. It is the latest offering in the comprehensive Intel® Vision Products portfolio of hardware and software accelerating deep learning and transforming vision data into business insights.

Intelligence and Autonomous Technology Begins with Vision

Processing high-quality video requires the ability to rapidly analyze vast streams of data near the edge and respond in real time, moving only relevant insights to the cloud asynchronously. To process video data efficiently, companies need the right solution for the job. Unlike others with a one-size-fits-all philosophy, Intel believes the market requires a powerful portfolio of scalable hardware and software solutions to move into an intelligent data-powered future. This immediately includes widely deployed and available Intel computing products, including those with integrated graphics, Intel FGPAs and Intel® Movidius™ VPU (Vision Processing Unit).

4bK4rjatDBg

With the addition of the OpenVINO toolkit to the Intel Vision Product lineup, Intel’s vision solution provides the capability to distribute AI solutions from the edge to the network to the cloud across a diverse set of products. This empowers our customers with the flexibility to economically distribute vision solutions for actionable business insights.

Intel’s Extensive Partner Ecosystem

Intel® Vision Products and the OpenVINO toolkit are being used by global partners such as Dahua*, for smart city and traffic solutions, GE Healthcare* in medical imaging, and Hikvision* for industrial and manufacturing safety. Additional companies include Agent Vi*, Current by GE*, Dell* and Honeywell*.

Our customers can also integrate the OpenVINO toolkit with devices running AWS GreenGrass for performing ML inference at the edge.

Our deep collaboration with these industry leaders makes one thing clear: Intel provides a future that’s intelligent and transformative.

Technology Choice and Flexibility with Performance

The new OpenVINO toolkit combined with a broad range of advanced silicon provides a complete high-performance solution for edge-to-cloud video analytics and deep learning. It empowers developers to easily deploy deep learning inference and computer vision solutions, leveraging a wide range of common software frameworks like TensorFlow*, MXNet* and Caffe*.
Intel Vision Products, combined with the OpenVINO toolkit, provide developers the flexibility, and choice with performance and power to accommodate the wide range IoT infrastructure.

Intel CPUs with integrated graphics are commonly used and provide developers access to widely deployed systems that are consistent with existing architectures and products.

Intel FPGAs provide raw throughput and programming flexibility to rapidly adapt to new networks and applications.

The Intel Movidius VPU provides cost and power efficiency for constrained environments while delivering performance required for a broad range of applications.

Intel’s comprehensive vision strategy stretching from the camera to the cloud will accelerate the adoption of video technologies across industries.

Our deep collaboration with businesses has made one thing clear: Intel no longer sells parts; it is providing an easy and accessible vision.

For more information, check out the OpenVINO toolkit or Intel Vision Products. Come talk to us at the upcoming Embedded Vision Summit May 22-24 or at AI Devcon May 23-24.
Click to expand...

Source: https://newsroom.intel.com/editorial...-iot-industry/

Brink · Nov 11, 2020

New OpenVINO toolkit added to Intel Vision Product lineup

New Toolkit Already in Use at Agent Vi, Dahua, Dell, Current by GE, GE Healthcare, Hikvision and Honeywell

It’s been an amazing year leading the Internet of Things (IoT) Group at Intel. During this time we have been working hard to define and develop a data-driven technology foundation for industry innovation. Our strategy is to drive end-to-end distributed computing in every vertical by focusing on silicon platforms and workload consolidation at the edge.

Critical to our success is aligning our ecosystem of partners and developers to deliver the benefits. This focused effort is paying off, as Intel’s IoT business grew by 20 percent in 2017 and continued with strong growth in this year’s first quarter.

We are seeing significant growth in IoT markets worldwide, driven in part by a dramatic increase in vision applications, particularly those leveraging artificial intelligence (AI). These imaging and video use cases span nearly every IoT segment. They include finding product defects on assembly lines, managing inventory in retail, identifying equipment maintenance needs in remote locations, and enabling public safety in cities and airports. They all leverage high-resolution cameras and create extraordinary amounts of data, which needs to be aggregated and analyzed.

More: OpenVINO™ Toolkit Accelerates CV Development across Intel® Platform (Adam Burns Blog) | Intel Customer Quotes | Internet of Things News

Given this expansive data growth, Intel announces the OpenVINO™ (Open Visual Inference & Neural Network Optimization) toolkit. The OpenVINO toolkit is designed to fast-track development of high-performance computer vision and deep learning inference applications at the edge. It is the latest offering in the comprehensive Intel® Vision Products portfolio of hardware and software accelerating deep learning and transforming vision data into business insights.

Intelligence and Autonomous Technology Begins with Vision

Processing high-quality video requires the ability to rapidly analyze vast streams of data near the edge and respond in real time, moving only relevant insights to the cloud asynchronously. To process video data efficiently, companies need the right solution for the job. Unlike others with a one-size-fits-all philosophy, Intel believes the market requires a powerful portfolio of scalable hardware and software solutions to move into an intelligent data-powered future. This immediately includes widely deployed and available Intel computing products, including those with integrated graphics, Intel FGPAs and Intel® Movidius™ VPU (Vision Processing Unit).

4bK4rjatDBg

With the addition of the OpenVINO toolkit to the Intel Vision Product lineup, Intel’s vision solution provides the capability to distribute AI solutions from the edge to the network to the cloud across a diverse set of products. This empowers our customers with the flexibility to economically distribute vision solutions for actionable business insights.

Intel’s Extensive Partner Ecosystem

Intel® Vision Products and the OpenVINO toolkit are being used by global partners such as Dahua*, for smart city and traffic solutions, GE Healthcare* in medical imaging, and Hikvision* for industrial and manufacturing safety. Additional companies include Agent Vi*, Current by GE*, Dell* and Honeywell*.

Our customers can also integrate the OpenVINO toolkit with devices running AWS GreenGrass for performing ML inference at the edge.

Our deep collaboration with these industry leaders makes one thing clear: Intel provides a future that’s intelligent and transformative.

Technology Choice and Flexibility with Performance

The new OpenVINO toolkit combined with a broad range of advanced silicon provides a complete high-performance solution for edge-to-cloud video analytics and deep learning. It empowers developers to easily deploy deep learning inference and computer vision solutions, leveraging a wide range of common software frameworks like TensorFlow*, MXNet* and Caffe*.
Intel Vision Products, combined with the OpenVINO toolkit, provide developers the flexibility, and choice with performance and power to accommodate the wide range IoT infrastructure.

Intel CPUs with integrated graphics are commonly used and provide developers access to widely deployed systems that are consistent with existing architectures and products.

Intel FPGAs provide raw throughput and programming flexibility to rapidly adapt to new networks and applications.

The Intel Movidius VPU provides cost and power efficiency for constrained environments while delivering performance required for a broad range of applications.

Intel’s comprehensive vision strategy stretching from the camera to the cloud will accelerate the adoption of video technologies across industries.

Our deep collaboration with businesses has made one thing clear: Intel no longer sells parts; it is providing an easy and accessible vision.

For more information, check out the OpenVINO toolkit or Intel Vision Products. Come talk to us at the upcoming Embedded Vision Summit May 22-24 or at AI Devcon May 23-24.
Click to expand...

Source: https://newsroom.intel.com/editorial...-iot-industry/

Windows 10: Intel announces XPU Vision with oneAPI and Intel Server GPU

Intel announces XPU Vision with oneAPI and Intel Server GPU

Intel announces XPU Vision with oneAPI and Intel Server GPU

Intel announces XPU Vision with oneAPI and Intel Server GPU

Intel announces XPU Vision with oneAPI and Intel Server GPU - Similar Threads - Intel announces XPU

Multiple Intel drivers for the same gpu.

DWM.exe 100% intels gpu utiization

Intel announces 10th Gen Intel Core CPU and Project Athena at Computex

Intel Announces New 9th Gen Intel Core i9-9900K

discrete GPU (nvidia) and itegrated GPU (intel)

Announcing Intel Optane SSD 900P Series

Intel Announces First Neural Network Processor

Intel Announces Its Intel 5G Mobile Trial Platform

CES 2017: Intel announces 5G modem