Innovation Extends with Intel Iris Xe MAX Graphics and Deep Link

What’s New: Today, Intel launched Intel® Iris® Xe MAX graphics, designed for thin-and-light laptops and now available from partners. Intel Iris Xe MAX graphics is based on the same Xe-LP microarchitecture used for Intel Iris Xe graphics in 11th Gen Intel® Core™ mobile processors. It is Intel’s first Xe-based discrete graphics processing unit (GPU) as part of the company’s strategy to enter the discrete graphics market. Intel Iris Xe MAX platforms feature Intel® Deep Link technology as part of Intel® Adaptix™, support PCIe Gen 4 and address an emerging need for content creation performance in thin-and-light laptops.

“We set out to redefine the role of discrete graphics in thin-and-light laptops and address a growing segment of creators who want more portability. Iris Xe MAX graphics and Intel® Deep Link technology serve as examples of the kind of platform-level innovation that Intel plans to bring to market in the future as we execute to our scalable Xe roadmap.”
– Roger Chandler, vice president and general manager of Client XPU Product and Solutions in the Intel Architecture, Graphics and Software Group

Intel DG1 chip 2
Intel Iris Xe MAX graphics, built on Intel’s 10nm SuperFin process, introduces Intel Deep Link technology, which unlocks creativity in thin-and-light laptops by aggregating multiple processing engines and a common software framework and graphics driver. It was introduced Oct. 31, 2020. (Credit: Intel Corporation)
» Click to download this image and other product and Iris Xe images
Why It Matters: During Intel® Architecture Day, Intel announced that the Xe-LP microarchitecture will deliver advanced performance for mobile platforms. Intel Iris Xe graphics has been a game changer for the mobile PC visual experience and, together with 11th Gen Intel Core mobile processors, delivers amazing low-power graphics with leading media, display and AI. Intel continues its innovation and leadership by combining 11th Gen Core mobile processors with Intel Iris Xe graphics and Intel Iris Xe MAX graphics to help enable new experiences, provide developers with access to a more open and common software framework, and simplify driver distribution and validation for customers.

What Deep Link Does: Deep Link aggregates multiple processing engines through a common software framework to bring new capabilities and better performance to PCs. This framework helps to unlock creativity in thin-and-light laptops by maximizing CPU performance, boosting artificial intelligence (AI) creation performance and taking industry leading encode to the next level.

How Deep Link Works: Deep Link technology brings together processing engines under a common software framework, allowing software developers to significantly boost content creation workload performance. Applications can scale certain workloads across integrated and discrete graphics. Examples include:

  • An additive AI capability that enables inferencing and rendering on both GPUs to accelerate content-creation workloads.
  • A combination of industry-leading encode engines in each GPU through hyper encoding that allows the time to render out videos for reviewing or sharing.

The first Deep Link-enabled applications use Intel® Media SDK, Intel® Distribution of OpenVINO™ toolkit and Intel® VTune™ Profiler to access the full power of the platform.  Developers will also be able to utilize Deep Link technology using Intel’s powerful cross-architecture oneAPI toolkits. Developers interested in accessing Deep Link technology can sign up for future updates and information.

Where You Can Get It: Available starting today, Intel® Iris® Xe MAX graphics is available for Acer Swift 3x, Asus VivoBook Flip TP470 and Dell Inspiron 15 7000 2 in 1. These are the first devices to leverage 11th Gen Intel Core mobile processors, Intel Iris Xe MAX graphics and Intel Deep Link technology.

Intel DG1 chip 1
Intel Iris Xe MAX graphics, built on Intel’s 10nm SuperFin process, introduces Intel Deep Link technology, which unlocks creativity in thin-and-light laptops by aggregating multiple processing engines and a common software framework and graphics driver. It was introduced Oct. 31, 2020. (Credit: Intel Corporation)
» Click to download this image and other product and Iris Xe images
What It Delivers: 11th Gen Intel Core mobile processors paired with Intel Iris Xe MAX graphics deliver Additive AI to provide 7 times faster AI-based creation1 than similar laptops configured with third-party graphics, and Hyper Encode for up to 1.78 times faster encoding2 than a high-end desktop graphics card. Additionally, the CPU is rarely optimized in thin-and-light laptops paired with third-party discrete graphics. Deep Link’s Dynamic Power Share enables all the power and thermal resources to be dedicated to the CPU when the discrete graphics is idle, resulting in up to 20% better CPU performance3 when a creator attempts a sustained task such as executing a final render.

Intel Iris Xe MAX graphics also deliver great thin-and-light 1080p gaming on popular games. Intel is adding to the game experience by delivering two new features: Game Sharpening and Instant Game Tuning. These features will be available through the Intel® Graphics Command Center.

Intel is offering two bundle promotions that offer creator applications and games. One bundle for 11th Gen Intel Core Processor-based systems will go live Nov 3; a second bundle exclusively for Intel Iris Xe MAX-based systems will be available through Amazon.com and other participating retailers.

What’s Next: The Xe architecture is a fully scalable graphics architecture that will serve many markets, from integrated graphics to entry-level discrete to high-end gaming and datacenter graphics for HPC and AI workloads. In addition to mobile, Intel is working with its partners to bring Xe-LP-based discrete graphics to value desktops in the first half of 2021. Intel is on the path to improve the visual computing experience for billions of people as it continues to ramp up Xe architecture products and software initiatives, with the Xe-LP based Intel® Server GPU shipping this year and Xe-HP and Xe-HPG products arriving in 2021.

More Context: Iris Xe MAX (Intel.com) | Introducing Intel Iris Xe MAX Graphics (Product Brief) | Intel Deep Link (Intel.com) | Intel Architecture Day (Press Kit) | 11th Gen Intel Core processors

The Small Print:

All information provided here is subject to change without notice. Contact your Intel representative to obtain the latest Intel product specifications, roadmaps, and related information.

Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex

Performance with Intel® DTT will vary based on chassis design choices, chassis temperature thresholds, cooling solutions, form factors (xyz dimensions), air flow, and ambient air temperatures.

Testing concluded October 26th, 2020 and may not reflect all publicly available updates. See configuration disclosure for details. No product can be absolutely secure.

Your costs and results may vary.

Intel technologies may require enabled hardware, software or service activation.

1 Tested on 11th Gen Intel® Core™ i7-1165G7 with Intel® Iris Xe MAX vs 10th Gen Intel® Core™ i7-1065G7 with Nvidia GeForce MX350. Configurations and workloads information available at www.Intel.com/PerformanceIndex

2 Tested on 11th Gen Intel® Core™ i7-1165G7 with Intel® Iris Xe MAX vs 10th Gen Intel® Core™ i9-10980HK with Nvidia GeForce RTX 2080 Super MaxQ. Configurations and workloads information available at www.Intel.com/PerformanceIndex

3 Tested on 11th Gen Intel® Core™ i7-1165G7 with Intel® Iris Xe MAX vs simulated 11th Gen Intel Core i7-1185G7 with Nvidia GeForce MX350. Configurations and workloads information available at www.Intel.com/PerformanceIndex

The post Innovation Extends with Intel Iris Xe MAX Graphics and Deep Link appeared first on Intel Newsroom.

How the OpenBSD -stable packages are built

Solène Rapenne (solene@) has written a blog entry on the software system underlying the building of -stable packages:

In this long blog post, I will write about the technical details of the OpenBSD stable packages building infrastructure. I have setup the infrastructure with the help of Theo De Raadt who provides me the hardware in summer 2019, since then, OpenBSD users can upgrade their packages using pkg_add -u for critical updates that has been backported by the contributors. Many thanks to them, without their work there would be no packages to build.

(-stable packages have been the subject of earlier articles.)

Readers are reminded that they can express their gratitude to solene@ and others by donating!

Data Makes It Beta: Roborace Returns for Second Season with Updateable Self-Driving Vehicles Powered by NVIDIA DRIVE

Amid the COVID-19 pandemic, live sporting events are mostly being held without fans in the stands. At Roborace, they’re removing humans from the field as well, without sacrificing any of the action. Read article >

The post Data Makes It Beta: Roborace Returns for Second Season with Updateable Self-Driving Vehicles Powered by NVIDIA DRIVE appeared first on The Official NVIDIA Blog.

Data Makes It Beta: Roborace Returns for Second Season with Updateable Self-Driving Vehicles Powered by NVIDIA DRIVE

Amid the COVID-19 pandemic, live sporting events are mostly being held without fans in the stands. At Roborace, they’re removing humans from the field as well, without sacrificing any of the action.

Roborace is envisioning autonomous racing for the future. Teams compete using standardized cars powered by their own AI algorithms in a series of races testing capabilities such as speed and object detection. Last month, the startup launched its Season Beta, running entirely autonomous races and streamed live online for a virtual audience.

This second season features Roborace’s latest vehicle, the Devbot 2.0, a state-of-the-art race car capable of both human and autonomous operation and powered by the NVIDIA DRIVE AGX platform. Devbot was designed by legendary movie designer Daniel Simon, who has envisioned worlds straight out of science fiction for films such as Tron, Thor and Captain America.

Each Season Beta event consists of two races. In the first, teams race their Devbots autonomously with no obstacles. Next, the challenge is to navigate the same track with virtual objects, some of which are time bonuses and others are time penalties. The team with the fastest overall time wins.

One of the virtual objects a vehicle must navigate in Roborace Season Beta.

These competitions are intended to put self-driving technology to the test in the extreme conditions of performance racing, pushing innovation in both AI and the sport of racing itself. Teams from universities around the world have been able to leverage critical data from each race, developing smarter and faster algorithms for each new event.

From the Starting Line

Season Beta’s inaugural event provided the ideal launching point for iterative AI algorithm development.

The first two races took place on Sept. 24 and 25 at the world-renowned Anglesey National Circuit in Wales. Teams from the Massachusetts Institute of Technology, Carnegie Mellon University, University Graz Austria, Technical University Pisa and commercial racing team Acronis all took to the track to put their AV algorithms through their paces.

Racing stars such as Dario Franchitti and commentators Andy McEwan and Matt Roberts helped deliver the electrified atmosphere of high-speed competition to the virtual racing event.

Radio interruptions and other issues kept the teams from completing the race. However, the learnings from Wales are set to make the second installment of Roborace Season Beta a can’t-miss event.

Ready for Round Two

The autonomous racing season continues this week at Thruxton Circuit in Hampshire, U.K. The same set of teams will be joined by a guest team from Warwick Engineering Society and Warwick University for a second chance at AV racing glory.

Sergio Pininfarina, CEO of the legendary performance brand, will join the suite of television presenters to provide color commentary on the races.

The high-performance, energy-efficient NVIDIA DRIVE AGX platform makes it easy to enhance self-driving algorithms and add new deep neural networks for continuous improvement. By leveraging the NVIDIA AI compute platform, Roborace teams can quickly update their vehicles from last month’s race for optimal performance.

Be sure to tune in live from Oct. 28 to Oct. 30 to witness the future of racing in action, catch up on highlights and mark your calendar for the rest of Roborace Season Beta.

The post Data Makes It Beta: Roborace Returns for Second Season with Updateable Self-Driving Vehicles Powered by NVIDIA DRIVE appeared first on The Official NVIDIA Blog.

Intel to Acquire SigOpt to Scale AI Productivity and Performance

SigoOpt Horz BlueWhat’s New: Today, Intel announced it will acquire SigOpt, a San Francisco-based provider of a leading platform for the optimization of artificial intelligence (AI) software models at scale. SigOpt’s AI software technologies deliver productivity and performance gains across hardware and software parameters, use cases and workloads in deep learning, machine learning and data analytics. Intel plans to use SigOpt’s software technologies across Intel’s AI hardware products to help accelerate, amplify and scale Intel’s AI software solution offerings to developers.

“In the new intelligence era, AI is driving the compute needs of the future. It is even more important for software to automatically extract the best compute performance while scaling AI models. SigOpt’s AI software platform and data science talent will augment Intel software, architecture, product offerings and teams, and provide us with valuable customer insights. We welcome the SigOpt team and its customers to the Intel family.”
– Raja Koduri, Intel senior vice president, chief architect and general manager of Architecture, Graphics and Software (IAGS)

Why It Matters: SigOpt’s software technologies combined with Intel hardware provide competitive advantages and differentiated value for data scientists and developers, and they complement Intel’s existing AI software portfolio.

Intel SigOpt
SigOpt CEO and co-founder Scott Clark (left) and CTO and co-founder Patrick Hayes will join the Machine Learning Performance team at Intel. (Credit: SigOpt)
“We are excited to join Intel and supercharge our mission to accelerate and amplify the impact of modelers everywhere,” said Scott Clark, SigOpt CEO and co-founder. “By combining our AI optimization software with Intel’s decades-long leadership in AI computing and machine learning performance, we will be able to unlock entirely new AI capabilities for modelers.”

The Details: The deal is expected to close this quarter. Transaction terms were not disclosed. SigOpt’s team – including Clark and CTO and co-founder Patrick Hayes – will join the Machine Learning Performance team in IAGS. They bring highly desired technical talent to help solve some of the biggest challenges faced by Intel’s customers.

SigOpt’s customer base includes Fortune 500 companies across industries, as well as leading research institutions, universities and consortiums. SigOpt’s software technologies will continue to be available to data scientists and developers to enable better productivity and performance in solving real-life use cases and drive business value for customers.

About Intel’s AI Strategy: Intel’s AI strategy is grounded in a belief in the power of AI to improve business outcomes. It requires a broad mix of technologies – hardware and software – and full ecosystem support. Intel expects the AI silicon market to be greater than $25 billion by 20241. AI solutions already drive meaningful revenue for the company with more than $3.8 billion in AI-driven revenue in 2019. The combination of SigOpt’s software technologies and Intel hardware is expected to drive increased AI adoption. Intel’s AI software strategy is aimed at optimizing Intel’s hardware performance, providing tools to speed up the AI workflow process and building a consistent experience for developers with oneAPI.

1Intel estimates the total addressable market (TAM) for AI silicon by 2024 will be greater than $25 billion, and within that, AI silicon in the data center is expected to be greater than $10 billion in the same timeframe.

The post Intel to Acquire SigOpt to Scale AI Productivity and Performance appeared first on Intel Newsroom.

Intel’s 11th Gen Processor (Rocket Lake-S) Architecture Detailed

Rocket Lake S IllustrationWhat’s New: Earlier this year, Intel made desktop PCs even better with 10th Gen Intel® Core™ S-series processors, headlined by the Intel Core i9-10900K. In the first quarter of 2021, the 11th Gen Intel Core S-series desktop processors (code-named “Rocket Lake-S”) will bring even more performance to gamers and PC enthusiasts.

Intelligently designed for desktop performance, Rocket Lake takes advantage of the microarchitecture changes and instructions per clock (IPC) advancements to deliver improved raw performance, gen over gen.

About the Architecture: The 11th Gen Intel Core S-series desktop processor will introduce a new desktop architecture, called Cypress Cove, designed to transform hardware and software efficiency and increase performance​. This will enable double-digit percentage IPC performance improvement1 (gen over gen) and deliver enhanced Intel® UHD™ graphics featuring the Intel® Xe Graphics architecture2.

» 11th Gen Intel Core S-Series Architecture Details

Why Frequency and IPC Matter: Games and most applications continue to depend on high-frequency cores to drive high frame rates and lower latency. In addition, the number of IPC improve on the performance that frequency delivers by executing more instructions. Intel continues to push the limits of performance with IPC gains and the frequencies necessary for gaming, content creation and multitasking.

How It is Optimized for Amazing Gaming: Some of the new features being introduced with 11th Gen Intel Core S-Series include:

  • New Cypress Cove architecture featuring Ice Lake Core architecture and Tiger Lake Graphics architecture.
  • Double-digit percentage IPC performance improvement.3
  • Better gen-over-gen performance.
  • Up to 20 CPU PCIe 4.0 lanes4 for more configuration flexibility.
  • Enhanced Intel UHD graphics featuring Intel Xe Graphics architecture.
  • Intel® Quick Sync Video, offering better video transcoding and hardware acceleration for latest codecs.
  • New overclocking features5 for more flexible tuning performance.
  • Intel® Deep Learning Boost and VNNI support​.

The 11th Gen Intel Core S-Series desktop processors, launching in 2021’s first quarter, will deliver amazing performance and flexibility to meet a range of needs for gamers and content creators.

The Small Print:

All product plans and roadmaps are subject to change without notice.

Statements in this document that refer to future plans or expectations are forward-looking statements.  These statements are based on current expectations and involve many risks and uncertainties that could cause actual results to differ materially from those expressed or implied in such statements.  For more information on the factors that could cause actual results to differ materially, see our most recent earnings release and SEC filings at www.intc.com.

Intel technologies may require enabled hardware, software or service activation.

No product or component can be absolutely secure.

Your costs and results may vary.

1 IPC = Instructions Per Cycle/Clock and represents how many tasks a CPU can complete in each cycle.
2 Available only on 11th Gen Intel® Core™ processors featuring integrated graphics.
3 Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.
4 CPU PCIe  lanes are only validated for discrete graphics (x16) and PCIe storage or Intel® Optane™ memory (1×4).
5 Altering clock frequency or voltage may void any product warranties and reduce stability, security, performance and life of the processor and other components.  Check with system and component manufacturers for details.

The post Intel’s 11th Gen Processor (Rocket Lake-S) Architecture Detailed appeared first on Intel Newsroom.

SoftBank Group, NVIDIA CEOs on What’s Next for AI

Good news: AI will soon be everywhere. Better news: it will be put to work by everyone. Sharing a vision of AI enabling humankind, NVIDIA CEO Jensen Huang Wednesday joined Masayoshi Son, Chairman and CEO of SoftBank Group Corp. as a guest for his keynote at the annual SoftBank World conference. “For the first time, Read article >

The post SoftBank Group, NVIDIA CEOs on What’s Next for AI appeared first on The Official NVIDIA Blog.

SoftBank Group, NVIDIA CEOs on What’s Next for AI

Good news: AI will soon be everywhere. Better news: it will be put to work by everyone.

Sharing a vision of AI enabling humankind, NVIDIA CEO Jensen Huang Wednesday joined Masayoshi Son, Chairman and CEO of SoftBank Group Corp. as a guest for his keynote at the annual SoftBank World conference.

“For the first time, we’re going to democratize software programming,” Huang said. “You don’t have to program the computer; you just have to teach the computer.”

Son is a legendary entrepreneur, investor and philanthropist who pioneered the development of the PC industry, the internet and mobile computing in Japan.

A Technological Jewel

The online conversation comes six weeks after NVIDIA agreed to acquire Arm from SoftBank in a transaction valued at $40 billion. Huang described Arm as “one of the technology world’s great jewels” in his conversation with Son.

“The reason why combining Arm and NVIDIA makes so much sense is because we can then bring NVIDIA’s AI to the most popular edge CPU in the world,” Huang said while seated beside the fireplace of his Silicon Valley home.

Arm has long provided its intellectual property to many chipset vendors, who deploy it on many different applications, in many different systems-on-a-chip, or SoCs, Son explained.

Huang said the combined company would “absolutely” continue this.

An Ecosystem Like No Other

“Of course the CPU is fantastic, energy-efficient and it’s improving all the time, thanks to incredible computer scientists building the best CPU in the world,” Huang said. “But the true value of Arm is in the ecosystem of Arm — the 500 companies that use Arm today.”

That ecosystem is growing fast. Son said it won’t be long until a trillion Arm-based SoCs have been shipped. Making NVIDIA AI available to those trillion chipsets “will be an amazing combination,” Son said.

“Our dream is to bring NVIDIA’s AI to Arm’s ecosystem, and the only way to bring it to the Arm ecosystem is through all of the existing customers, licensees and partners,” Huang said. “We would like to offer the licensees more, even more.”

Arm, Son said, provides toolsets to enable companies to create SoCs for very different applications, from game machines and home appliances to robots that fly or run or swim. These devices will, in turn, communicate with cloud AI “so each of them become smarter.”

“That’s the reason why combining Arm and NVIDIA makes so much sense because we can then bring NVIDIA AI to the most popular edge CPU in the world,” Huang said.

‘Intelligence at Scale’

That will allow even more companies to participate in the AI boom.

“AI is a new kind of computer science; the software is different, the chips are different, the methodology is different,” Huang said.

It’s a huge shift, Son agreed.

First, Son said, computers enabled advancements in calculation; next, came the ability to store massive amounts of data; and “now, finally, computers are the ears and the eyes, so they can recognize voice and speech.”

“It’s intelligence at scale,” Huang responded. “That’s the reason why this age of AI is such an important time.”

Extending Human Capabilities

Son and Huang spoke about how enterprises worldwide — from AstraZeneca and GlaxoSmithKline in drug discovery, to American Express in banking, to Walmart in retail, to Microsoft in software, to Kubota in agriculture — are now adopting NVIDIA AI tools.

Huang cited a new generation of systems, called recommender systems, that are already helping humans sort through vast array choices available online in everything from what clothes they wear to what music they listen to.

Huang and Son describe such systems — and AI more broadly — as a way to extend human capabilities.

“Humans will always be in the loop,” Huang said.

“We have a heart, a desire to be nice to other humans,” Son said. “We will utilize AI as a tool, for our happiness, for our joy — humans will choose which recommendations to take.”

‘Perpetually Learning Machines’

Such intelligent systems are being woven into the world around us, through smart, connected systems, or “edge AI,” Son said, which will work hand in hand with powerful cloud AI systems able to aggregate input from devices in the real world.

The result will be a “learning loop,” or “perpetually learning machines,” Huang said.

“The cloud side will aggregate information from edge AI, it will become smarter and smarter,” Son said.

Democratizing AI

One result: computing will finally be democratized, Huang said. Only a small number of people want to pursue a career as a computer programmer, but “everyone can teach,” Huang said.

“You [will] just ask the computer, ‘This is what I want to do, can you give me a solution?,’” Son responded. “Then the computer will give us the solution and the tools to make it happen.”

Such tools will amplify Japan’s strengths in precision engineering and manufacturing.

“This is the time of AI for Japan,” Huang said.

Huang described how, in tools such as NVIDIA Omniverse, a digital factory can be continually optimized.

“This robotic factory will be filled with robots that will build robots in virtual reality,” Huang said. “The whole thing will be simulated … and when you come in in the morning the whole thing will be optimized more than it was when you went to bed.”

Once it’s ready, a physical twin of the digital factory can be built and continually optimized with lessons learned in the virtual one.

“It’s the concept of the metaverse” Son said, referring to the shared, online world of imagined in Neal Stephensen’s 1992 cyberpunk classic, “Snow Crash.”

“… and it’s right in front of us now,” Huang added.

Connecting Humans with One Another

In addition to extending human capabilities with AI, it will help humans better connect with one another.

Video conferencing will soon be the vast majority of the world’s internet traffic, Huang said. Using AI to reconstruct a speaker’s facial expressions can “reduce bandwidth” by a factor of 10.

It can also unleash new capabilities, such as the ability for a speaker to make direct eye contact with 20 different people watching simultaneously, or real-time language translation.

“So you can speak to me in the future in Japanese and I can speak to you in English, and you will hear Japanese and I will hear English,” Huang said.

Enabling Big Dreams

Melding human judgment and AI, adaptive, autonomous machines and tightly connected teams of people will give entrepreneurs, philanthropists and others with “big wishes and big dreams” the ability to tackle ever more ambitious challenges, Huang said.

Son said AI is playing a role in the development of technologies that can detect heart attacks before they happen, speed the discovery of new treatments for cancer, and eliminate car accidents, among others.

“It is a big help,” Son said. “So we should be having a big smile, and big excitement, welcoming this revolution in AI.”

The post SoftBank Group, NVIDIA CEOs on What’s Next for AI appeared first on The Official NVIDIA Blog.

AMD Unveils Next-Generation PC Gaming with AMD Radeon™ RX 6000 Series – Bringing Leadership 4K Resolution Performance to AAA Gaming

– Groundbreaking AMD RDNA™ 2 gaming architecture delivers up to 2X higher performance1 and up to 54 percent higher performance-per-watt compared to AMD RDNA™-based graphics cards2

AMD Radeon™ RX 6900 XT graphics card
AMD Radeon™ RX 6900 XT graphics card


AMD Radeon™ RX 6000 Series die shot
AMD Radeon™ RX 6000 Series die shot


New flagship AMD Radeon™ RX 6900 XT is the ultimate 4K graphics card, and the fastest ever AMD gaming graphics card –

SANTA CLARA, Calif., Oct. 28, 2020 (GLOBE NEWSWIRE) -- AMD (NASDAQ: AMD) today unveiled the AMD Radeon™ RX 6000 Series graphics cards, delivering powerhouse performance, incredibly life-like visuals, and must-have features that set a new standard for enthusiast-class PC gaming experiences. Representing the forefront of extreme engineering and design, the highly anticipated AMD Radeon™ RX 6000 Series includes the AMD Radeon™ RX 6800 and Radeon™ RX 6800 XT graphics cards, as well as the new flagship Radeon™ RX 6900 XT – the fastest AMD gaming graphics card ever developed.

AMD Radeon™ RX 6000 Series graphics cards are built upon groundbreaking AMD RDNA™ 2 gaming architecture, a new foundation for next-generation consoles, PCs, laptops and mobile devices, designed to deliver the optimal combination of performance and power efficiency. AMD RDNA™ 2 gaming architecture provides up to 2X higher performance in select titles with the AMD Radeon™ RX 6900 XT graphics card compared to the AMD Radeon™ RX 5700 XT graphics card built on AMD RDNA™ architecture1, and up to 54 percent more performance-per-watt when comparing the AMD Radeon™ RX 6800 XT graphics card to the AMD Radeon™ RX 5700 XT graphics card using the same 7nm process technology2.

AMD RDNA™ 2 offers a number of innovations, including applying advanced power saving techniques to high-performance compute units to improve energy efficiency by up to 30 percent per cycle per compute unit3, and leveraging high-speed design methodologies to provide up to a 30 percent frequency boost at the same power level4. It also includes new AMD Infinity Cache technology that offers up to 2.4X greater bandwidth-per-watt compared to GDDR6-only AMD RDNA™-based architectural designs5.

“Today’s announcement is the culmination of years of R&D focused on bringing the best of AMD Radeon graphics to the enthusiast and ultra-enthusiast gaming markets, and represents a major evolution in PC gaming,” said Scott Herkelman, corporate vice president and general manager, Graphics Business Unit at AMD. “The new AMD Radeon RX 6800, RX 6800 XT and RX 6900 XT graphics cards deliver world class 4K and 1440p performance in major AAA titles, new levels of immersion with breathtaking life-like visuals, and must-have features that provide the ultimate gaming experiences. I can’t wait for gamers to get these incredible new graphics cards in their hands.”

Powerhouse Performance, Vivid Visuals & Incredible Gaming Experiences

AMD Radeon™ RX 6000 Series graphics cards support high-bandwidth PCIe® 4.0 technology and feature 16GB of GDDR6 memory to power the most demanding 4K workloads today and in the future. Key features and capabilities include:

Powerhouse Performance

  • AMD Infinity Cache A high-performance, last-level data cache suitable for 4K and 1440p gaming with the highest level of detail enabled. 128 MB of on-die cache dramatically reduces latency6 and power consumption7, delivering higher overall gaming performance than traditional architectural designs.
  • AMD Smart Access Memory8 – An exclusive feature of systems with AMD Ryzen™ 5000 Series processors, AMD B550 and X570 motherboards and Radeon™ RX 6000 Series graphics cards. It gives AMD Ryzen™ processors greater access to the high-speed GDDR6 graphics memory, accelerating CPU processing and providing up to a 13-percent performance increase on a AMD Radeon™ RX 6800 XT graphics card in Forza Horizon™ 4 at 4K when combined with the new Rage Mode one-click overclocking setting.9,10
  • Built for Standard Chassis – With a length of 267mm and 2x8 standard 8-pin power connectors, and designed to operate with existing enthusiast-class 650W-750W power supplies, gamers can easily upgrade their existing large to small form factor PCs without additional cost.

True to Life, High-Fidelity Visuals

  • DirectX® 12 Ultimate Support – Provides a powerful blend of raytracing, compute, and rasterized effects, such as DirectX® Raytracing (DXR) and Variable Rate Shading, to elevate games to a new level of realism.
  • DirectX® Raytracing (DXR) – Adding a high performance, fixed-function Ray Accelerator engine to each compute unit, AMD RDNA™ 2-based graphics cards are optimized to deliver real-time lighting, shadow and reflection realism with DXR. When paired with AMD FidelityFX, which enables hybrid rendering, developers can combine rasterized and ray-traced effects to ensure an optimal combination of image quality and performance.
  • AMD FidelityFX – An open-source toolkit for game developers available on AMD GPUOpen. It features a collection of lighting, shadow and reflection effects that make it easier for developers to add high-quality post-process effects that make games look beautiful while offering the optimal balance of visual fidelity and performance.
  • Variable Rate Shading (VRS) – Dynamically reduces the shading rate for different areas of a frame that do not require a high level of visual detail, delivering higher levels of overall performance with little to no perceptible change in image quality.

Elevated Gaming Experience

  • Microsoft® DirectStorage Support – Future support for the DirectStorage API enables lightning-fast load times and high-quality textures by eliminating storage API-related bottlenecks and limiting CPU involvement.
  • Radeon Software Performance Tuning Presets – Simple one-click presets in Radeon™ Software help gamers easily extract the most from their graphics card. The presets include the new Rage Mode stable over clocking setting that takes advantage of extra available headroom to deliver higher gaming performance10.
  • Radeon™ Anti-Lag11 – Significantly decreases input-to-display response times and offers a competitive edge in gameplay.

AMD Radeon RX 6000 Series Product Family

Model Compute Units GDDR6 Game Clock12 (MHz) Boost Clock13 (MHZ) Memory Interface Infinity Cache
AMD Radeon™ RX 6900 XT 80 16GB 2015 Up to 2250 256 bit 128 MB
AMD Radeon™ RX 6800 XT 72 16GB 2015 Up to 2250 256 bit 128 MB
AMD Radeon™ RX 6800 60 16GB 1815 Up to
2105
256 bit 128 MB

Robust Gaming Ecosystem and Partnerships

In the coming weeks, AMD will release a series of videos from its ISV partners showcasing the incredible gaming experiences enabled by AMD Radeon™ RX 6000 Series graphics cards in some of this year’s most anticipated games. These videos can be viewed on the AMD website.

  • DIRT® 5 – October 29
  • Godfall – November 2
  • World of Warcraft®: Shadowlands – November 10
  • RiftBreaker – November 12
  • FarCry® 6 – November 17

Pricing and Availability

AMD Radeon™ RX 6800 and Radeon™ RX 6800 XT graphics cards are expected to be available from global etailers/retailers and on AMD.com beginning November 18, 2020, for $579 USD SEP and $649 USD SEP, respectively. The AMD Radeon™ RX 6900 XT is expected to be available December 8, 2020, for $999 USD SEP.

AMD Radeon™ RX 6800 and RX 6800 XT graphics cards are also expected to be available from AMD board partners, including ASRock, ASUS, Gigabyte, MSI, PowerColor, SAPPHIRE and XFX, beginning in November 2020.

Supporting Resources

  • Lean more about the AMD Radeon™ RX 6000 Series here
  • Learn more about AMD RDNA™ 2 graphics architecture here
  • Learn more about the AMD Radeon™ Software here
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About AMD
For 50 years AMD has driven innovation in high-performance computing, graphics and visualization technologies ― the building blocks for gaming, immersive platforms and the datacenter. Hundreds of millions of consumers, leading Fortune 500 businesses and cutting-edge scientific research facilities around the world rely on AMD technology daily to improve how they live, work and play. AMD employees around the world are focused on building great products that push the boundaries of what is possible. For more information about how AMD is enabling today and inspiring tomorrow, visit the AMD (NASDAQ:AMD) websiteblogFacebook and Twitter pages. 

CAUTIONARY STATEMENT

This press release contains forward-looking statements concerning Advanced Micro Devices, Inc. (AMD) such as the features, functionality, performance, availability, timing and expected benefits of AMD products including the AMD RadeonTM RX 6000 Series graphics cards, which are made pursuant to the Safe Harbor provisions of the Private Securities Litigation Reform Act of 1995. Forward looking statements are commonly identified by words such as "would," "may," "expects," "believes," "plans," "intends," "projects" and other terms with similar meaning. Investors are cautioned that the forward-looking statements in this press release are based on current beliefs, assumptions and expectations, speak only as of the date of this press release and involve risks and uncertainties that could cause actual results to differ materially from current expectations. Such statements are subject to certain known and unknown risks and uncertainties, many of which are difficult to predict and generally beyond AMD's control, that could cause actual results and other future events to differ materially from those expressed in, or implied or projected by, the forward-looking information and statements. Material factors that could cause actual results to differ materially from current expectations include, without limitation, the following: Intel Corporation’s dominance of the microprocessor market and its aggressive business practices; the ability of third party manufacturers to manufacture AMD's products on a timely basis in sufficient quantities and using competitive technologies; expected manufacturing yields for AMD’s products; the availability of essential equipment, materials or manufacturing processes; AMD's ability to introduce products on a timely basis with features and performance levels that provide value to its customers; global economic uncertainty; the loss of a significant customer; AMD's ability to generate revenue from its semi-custom SoC products;  the impact of the COVID-19 pandemic on AMD’s business, financial condition and results of operations; political, legal, economic risks and natural disasters; the impact of government actions and regulations such as export administration regulations, tariffs and trade protection measures; the impact of acquisitions, joint ventures and/or investments on AMD's business; potential security vulnerabilities; potential IT outages, data loss, data breaches and cyber-attacks; uncertainties involving the ordering and shipment of AMD’s products; quarterly and seasonal sales patterns; the restrictions imposed by agreements governing AMD’s notes and the revolving credit facility; the competitive markets in which AMD’s products are sold; market conditions of the industries in which AMD products are sold; AMD’s reliance on third-party intellectual property to design and introduce new products in a timely manner; AMD's reliance on third-party companies for the design, manufacture and supply of motherboards, software and other computer platform components; AMD's reliance on Microsoft Corporation and other software vendors' support to design and develop software to run on AMD’s products; AMD’s reliance on third-party distributors and add-in-board partners; the potential dilutive effect if the 2.125% Convertible Senior Notes due 2026 are converted; future impairments of goodwill and technology license purchases; AMD’s ability to attract and retain qualified personnel; AMD's ability to generate sufficient revenue and operating cash flow or obtain external financing for research and development or other strategic investments; AMD's indebtedness; AMD's ability to generate sufficient cash to service its debt obligations or meet its working capital requirements; AMD's ability to repurchase its outstanding debt in the event of a change of control; the cyclical nature of the semiconductor industry; the impact of modification or interruption of AMD’s internal business processes and information systems; compatibility of AMD’s products with some or all industry-standard software and hardware; costs related to defective products; the efficiency of AMD's supply chain; AMD's ability to rely on third party supply-chain logistics functions; AMD’s stock price volatility; worldwide political conditions; unfavorable currency exchange rate fluctuations; AMD’s ability to effectively control the sales of its products on the gray market; AMD's ability to adequately protect its technology or other intellectual property; current and future claims and litigation; potential tax liabilities; and the impact of environmental laws, conflict minerals-related provisions and other laws or regulations. Investors are urged to review in detail the risks and uncertainties in AMD’s Securities and Exchange Commission filings, including but not limited to AMD’s Quarterly Report on Form 10-Q for the quarter ended September 26, 2020.

©2020 Advanced Micro Devices, Inc. All rights reserved. AMD, the AMD Arrow logo, Radeon, FreeSync, and combinations thereof are trademarks of Advanced Micro Devices, Inc. DirectX is a registered trademark of Microsoft Corporation in the US and other jurisdictions. Other product names used in this publication are for identification purposes only and may be trademarks of their respective companies.

The information contained herein is for informational purposes only, and is subject to change without notice. Timelines, roadmaps, and/or product release dates shown in this Press Release are plans only and subject to change. “Navi” is an AMD codename and is not a product name.

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1 Testing done by AMD performance labs October 20 2020 on a Radeon RX 6900 XT and Radeon RX 5700 XT (20.45-201013n driver), AMD Ryzen 9 5900X (3.70GHz) CPU, 16GB DDR4-3200MHz, Engineering AM4 motherboard, Win10 Pro 64. The Following games were tested at 4k at max settings: Battlefield V DX11, Doom Eternal Vulkan, Forza DX12, Resident Evil 3 DX11, Shadow of the Tomb Raider DX12. Performance may vary. RX-558
2 RX-549 - Testing done by AMD performance labs 10/16/20, using Assassins Creed Odyssey (DX11, Ultra), Battlefield V (DX12, Ultra), Borderlands 3 (DX12, Ultra), Control (DX12, High), Death Stranding (DX12 Ultra), Division 2 (DX12, Ultra), F1 2020 (DX12, Ultra), Far Cry 5 (DX11, Ultra), Gears of War 5 (DX12, Ultra), Hitman 2 (DX12, Ultra), Horizon Zero Dawn (DX12, Ultra), Metro Exodus (DX12, Ultra), Resident Evil 3 (DX12, Ultra), Shadow of the Tomb Raider (DX12, Highest), Strange Brigade (DX12, Ultra), Total War Three Kingdoms (DX11, Ultra), Witcher 3 (DX11, Ultra no HairWorks) at 4K. System comprised of a Radeon RX 6800 XT with AMD Radeon Graphics driver 27.20.12031.1000 and an Radeon RX 5700 XT with AMD Radeon Graphics driver 26.20.13001.9005. Performance may vary. RX-549
3 AMD internal modeling based on the average CAC of 33 apps tested on the RX 5700 XT and RX 6900 XT divided by the number of active compute units 40 and 80, respectively. Performance will vary. RX-543
4 AMD internal modeling based on graphics-engine-only measured average gaming power consumption and 3DMark11 power consumption vs. frequency for RX5700 XT and RX 6900 XT divided by the number of compute units (40 and 80 respectively). RX-536
5 Measurement calculated by AMD engineering, on a Radeon RX 6000 series card with 128 MB AMD Infinity Cache and 256-bit GDDR6. Measuring 4k gaming average AMD Infinity Cache hit rates of 58% across top gaming titles, multiplied by theoretical peak bandwidth from the 16 64B AMD Infinity Fabric channels connecting the Cache to the Graphics Engine at boost frequency of up to 1.94 GHz. RX-547
6 Based on internal modeling and testing done by AMD engineering labs 10/5/2020 on Radeon RX 6800 XT with 128 MB of AMD Infinity Cache vs a Radeon RX 5700 XT graphics card measuring memory latency. Performance may vary. RX-564
7 Based on internal modeling and testing done by AMD engineering labs 10/5/2020 on a Radeon RX 6800 XT vs a Radeon RX 5700 XT, using measurements taken of Cac, frequency at same power uplifts, and AMD Infinity Cache uplifts. Performance may vary. RX-566
8 AMD Smart Access Memory is only supported on AMD Radeon RX 6000 series graphics cards. Not validated on any other graphics solutions. GD-178.
9 Testing done by AMD performance labs October 18 2020 on Radeon RX 6800 XT (20.45-201013n driver), RTX 3080 (driver 456.71), AMD Ryzen 9 5900X (3.70GHz) CPU, 16GB DDR4-3200MHz, Engineering AM4 motherboard, Win10 Pro 64. The following games were tested at 4k at max settings with RAGE MODE + SMART ACCESS MEMORY enabled and disabled: Borderlands 3, best API Ultra; Doom Eternal, Vulkan Ultra Nightmare; Forza Horizon 4, DX 12 Ultra; Gears 5, DX12 Ultra; Hitman 2, DX12 Ultra; Resident Evil 3, best API, Ultra; Wolfenstein: Young Blood, Vulkan Mein Leben. Performance may vary. RX-559
10 AMD’s product warranty does not cover damages caused by overclocking, even when overclocking is enabled via AMD hardware and/or software. GD-26
11 Radeon™ Anti-Lag is compatible with DirectX 9 and DirectX 11 APIs, Windows 7 and 10. Hardware compatibility includes GCN and newer consumer dGPUs Ryzen 2000 and newer APUs, including hybrid and detachable graphics configurations. No mGPU support GD-157  
12 Game clock is the expected GPU clock when running typical gaming applications, set to typical TGP (Total Graphics Power). Actual individual game clock results may vary. GD-147
13 Boost Clock Frequency is the maximum frequency achievable on the GPU running a bursty workload. Boost clock achievability, frequency, and sustainability will vary based on several factors, including but not limited to: thermal conditions and variation in applications and workloads. GD-151

Contacts:
George Millington
AMD Communications
(408) 547-7481
George.Millington@amd.com

Jason Schmidt
AMD Investor Relations
(408) 749-6688
Jason.Schmidt@amd.com

Photos accompanying this announcement are available at

https://www.globenewswire.com/NewsRoom/AttachmentNg/8d2c8fbe-ce61-40ba-ba38-2b7ee6f62c99

https://www.globenewswire.com/NewsRoom/AttachmentNg/56b9f51f-b313-41a3-9fc1-0f1bf766c3d4


AMD logo black .jpg

Source: Advanced Micro Devices, Inc.