Windows 10: Intel Nervana neural network processors revealed at Hot Chips 2019

Brink · Aug 20, 2019

What’s New: At Hot Chips 2019, Intel revealed new details of upcoming high-performance artificial intelligence (AI) accelerators: Intel® Nervana™ neural network processors, with the NNP-T for training and the NNP-I for inference. Intel engineers also presented technical details on hybrid chip packaging technology, Intel® Optane™ DC persistent memory and chiplet technology for optical I/O.
“To get to a future state of ‘AI everywhere,’ we’ll need to address the crush of data being generated and ensure enterprises are empowered to make efficient use of their data, processing it where it’s collected when it makes sense and making smarter use of their upstream resources. Data centers and the cloud need to have access to performant and scalable general purpose computing and specialized acceleration for complex AI applications. In this future vision of AI everywhere, a holistic approach is needed—from hardware to software to applications.”
–Naveen Rao, Intel vice president and general manager, Artificial Intelligence Products Group
Why It’s Important: Turning data into information and then into knowledge requires hardware architectures and complementary packaging, memory, storage and interconnect technologies that can evolve and support emerging and increasingly complex use cases and AI techniques. Dedicated accelerators like the Intel Nervana NNPs are built from the ground up, with a focus on AI to provide customers the right intelligence at the right time.

What Intel Presented at Hot Chips 2019:

Intel Nervana NNP-T: Built from the ground up to train deep learning models at scale: Intel Nervana NNP-T (Neural Network Processor) pushes the boundaries of deep learning training. It is built to prioritize two key real-world considerations: training a network as fast as possible and doing it within a given power budget. This deep learning training processor is built with flexibility in mind, striking a balance among computing, communication and memory. While Intel® Xeon® Scalable processors bring AI-specific instructions and provide a great foundation for AI, the NNP-T is architected from scratch, building in features and requirements needed to solve for large models, without the overhead needed to support legacy technology. To account for future deep learning needs, the Intel Nervana NNP-T is built with flexibility and programmability so it can be tailored to accelerate a wide variety of workloads – both existing ones today and new ones that will emerge. View the presentation for additional technical detail into Intel Nervana NNP-T’s (code-named Spring Crest) capabilities and architecture.

Intel Nervana NNP-I: High-performing deep learning inference for major data center workloads: Intel Nervana NNP-I is purpose-built for inference and is designed to accelerate deep learning deployment at scale, leveraging Intel’s 10nm process technology with Ice Lake cores to offer industry-leading performance per watt across all major data center workloads. Additionally, the Intel Nervana NNP-I offers a high degree of programmability without compromising performance or power efficiency. As AI becomes pervasive across every workload, having a dedicated inference accelerator that is easy to program, has short latencies, has fast code porting and includes support for all major deep learning frameworks allows companies to harness the full potential of their data as actionable insights. View the presentation for additional technical detail into Intel Nervana NNP-I’s (code-named Spring Hill) design and architecture.

Lakefield: Hybrid cores in a three-dimensional package: Lakefield introduces the industry’s first product with 3D stacking and IA hybrid computing architecture for a new class of mobile devices. Leveraging Intel’s latest 10nm process and Foveros advanced packaging technology, Lakefield achieves a dramatic reduction in standby power, core area and package height over previous generations of technology. With best-in-class computing performance and ultra-low thermal design power, new thin form-factor devices, 2 in 1s, and dual-display devices can operate always-on and always-connected at very low standby power. View the presentation for additional technical detail into Lakefield’s architecture and power attributes.

TeraPHY: An in-package optical I/O chiplet for high-bandwidth, low-power communication: Intel and Ayar Labs demonstrated the industry’s first integration of monolithic in-package optics (MIPO) with a high-performance system-on-chip (SOC). The Ayar Labs TeraPHY* optical I/O chiplet is co-packaged with the Intel Stratix 10 FPGA using Intel Embedded Multi-die Interconnect Bridge (EMIB) technology, offering high-bandwidth, low-power data communication from the chip package with determinant latency for distances up to 2 km. This collaboration will enable new approaches to architecting computing systems for the next phase of Moore’s Law by removing the traditional performance, power and cost bottlenecks in moving data. View the presentation for additional technical detail and design decisions on creating processors with optical I/O.

Intel Optane DC persistent memory: Architecture and performance: Intel Optane DC persistent memory, now shipping in volume, is the first product in the memory/storage hierarchy’s entirely new tier called persistent memory. Based on Intel® 3D XPoint™ technology and in a memory module form factor, it can deliver large capacity at near-memory speeds, latency in nanoseconds, while also natively delivering the persistence of storage. Details of the two operational modes (memory mode and app direct mode) as well performance examples show how this new tier can support a complete re-architecting of the data supply subsystem to enable faster and new workloads. View the presentation for additional architectural details, memory controller design, power fail implementation and performance results for Intel Optane DC persistent memory.

More context: “Accelerating with Purpose” for AI Everywhere (Naveen Rao Blog) | Artificial Intelligence at Intel
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Source: https://newsroom.intel.com/news/hot-chips-2019/

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Brink · Aug 20, 2019

Intel Announces First Neural Network Processor

Today I spoke at the WSJDLive global technology conference about cognitive and artificial intelligence (AI) technology, two nascent areas that I believe will be transformative to the industry and world. These systems also offer tremendous market opportunity and are on a trajectory to reach $46 billion in industry revenue by 20201. At Intel, we’re pioneering in these areas with research and investments in hardware, data algorithms and analytics, acquisitions, and technology advancements.

As part of this, today we announced that Intel will ship the industry’s first silicon for neural network processing, the Intel® Nervana™ Neural Network Processor (NNP), before the end of this year. We are thrilled to have Facebook in close collaboration sharing its technical insights as we bring this new generation of AI hardware to market.

More: Artificial Intelligence (Press Kit) | Intel Nervana Neural Network Processor (Intel Chip Chat Podcast)

The Intel Nervana NNP promises to revolutionize AI computing across myriad industries. Using Intel Nervana technology, companies will be able to develop entirely new classes of AI applications that maximize the amount of data processed and enable customers to find greater insights – transforming their businesses. Examples include:

Health care: AI will allow for earlier diagnosis and greater accuracy, helping make the impossible possible by advancing research on cancer, Parkinson’s disease and other brain disorders.

Social media: Providers will be able to deliver a more personalized experience to their customers and offer more targeted reach to their advertisers.

Automotive: The accelerated learning delivered in this new platform brings us another step closer to putting autonomous vehicles on the road.

Weather: Consider the immense data required to understand movement, wind speeds, water temperatures and other factors that decide a hurricane’s path. Having a processor that takes better advantage of data inputs could improve predictions on how subtle climate shifts may increase hurricanes in different geographies.

We have multiple generations of Intel Nervana NNP products in the pipeline that will deliver higher performance and enable new levels of scalability for AI models. This puts us on track to exceed the goal we set last year of achieving 100 times greater AI performance by 2020.

In addition to advancing AI today, Intel is also investing in frontier technologies that will be needed for other large-scale computing applications of the future. Among these technologies, we’re achieving research breakthroughs in neuromorphic and quantum computing.

Neuromorphic chips are inspired by the human brain, which will help computers make decisions based on patterns and associations. Intel recently announced our first-of-its-kind self-learning neuromorphic test chip, which uses data to learn and make inferences, gets smarter over time, and does not need to be trained in the traditional way. The potential benefits from self-learning chips are limitless as these types of devices can learn to perform the most complex cognitive tasks, such as interpreting critical cardiac rhythms, detecting anomalies to prevent cyberhacking and composing music.

Quantum computers have the potential to be powerful computers harnessing the unique capabilities of a large number of qubits (quantum bits), as opposed to binary bits, to perform exponentially more calculations in parallel. This will enable quantum computers to tackle problems conventional computers can’t handle, such as simulating nature to advance research in chemistry, materials science and molecular modeling – creating a room temperature superconductor or discovering new drugs.

Last week, we announced a 17-qubit superconducting test chip delivered to QuTech*, our quantum research partner in the Netherlands. The delivery of this chip demonstrates the fast progress Intel and QuTech are making in researching and developing a working quantum computing system. In fact, we expect to deliver a 49-qubit chip by the end of this year.

Intel’s research and forward-thinking teams have led to industry advancements throughout the history of our company. We are well on our way to unlocking the potential of AI and paving a path to new forms of computing. It will be amazing to watch the industry transform as our latest research and compute breakthroughs continue to mature.

Brian Krzanich is the chief executive officer of Intel Corporation.

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1IDC: “Worldwide Semiannual Cognitive Artificial Intelligence Systems Spending Guide,” April 3, 2017.
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Source: Intel Pioneers New Technologies to Advance Artificial Intelligence | Intel Newsroom

Polo6RGTI · Aug 20, 2019

Intel Announces First Neural Network Processor

And so it begins. *Wink

Brink · Aug 20, 2019

Intel reveals Ice Lake 10nm+ chip

In an unusual move for Intel, the chip giant has ever so slightly taken the wraps off of one of their future generation Core architectures. Basic information on the Ice Lake architecture has been published over on Intel's codename decoder, officially confirming for the first time the existence of the architecture and that it will be made on Intel's 10nm+ process.

The Ice Lake processor family is a successor to the 8th generation Intel® Core™ processor family. These processors utilize Intel’s industry-leading 10 nm+ process technology.
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This is an unexpected development as the company has yet to formally detail (let alone launch) the first 10nm Core architecture – Cannon Lake – and it's rare these days for Intel to talk more than a generation ahead in CPU architectures. Equally as interesting is the fact that Intel is calling Ice Lake the successor to their upcoming 8th generation Coffee Lake processors, which codename bingo aside, throws some confusion on where the 14nm Coffee Lake and 10nm Cannon Lake will eventually stand...

Read more: Intel Officially Reveals Post-8th Generation Core Architecture Code Name: Ice Lake, Built on 10nm+

See also: Ice Lake Processor Family

Windows 10: Intel Nervana neural network processors revealed at Hot Chips 2019

Intel Nervana neural network processors revealed at Hot Chips 2019

Intel Nervana neural network processors revealed at Hot Chips 2019

Intel Nervana neural network processors revealed at Hot Chips 2019

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