Intel’s 2020 Year in Review

Yearbook Cover

2020 has been a year the world will never forget.

We say that every December as we introduce Intel’s yearbook. And it’s always true. But this year it’s especially appropriate. We’ve grappled in our personal and professional lives with a world turned topsy-turvy by the pandemic. Still, it’s been a year of achievements — large and small — as day after day we conceive and craft world-changing technologies that enrich the lives of every person.

Our lives in 2020 have indeed been dominated by COVID-19. But collectively, more than 110,000 of us at Intel have achieved a great deal this year — in spite of its challenges.

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2020 Intel Industry Analyst Summit Highlights

The 2020 Intel Industry Analyst Summit, which was presented virtually from Dec. 8-10, 2020. Highlights from the summit include presentations by Intel leaders:

Bob Swan, Intel chief executive officer, presents a welcome and opening remarks.

Saf Yeboah-Amankwah, Intel senior vice president and chief strategy officer, presents “Trends Shaping the Future of Compute.
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Michelle Johnston Holthaus, executive vice president, chief revenue officer and general manager of the Sales, Marketing and Communications Group at Intel, presents “Delivering that Solutions Customers Need.”
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Sandra Rivera, Intel executive vice president and chief people officer, presents “Building a Compelling Culture to Fuel Growth.”
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Raja Koduri, senior vice president, chief architect, and general manager of Architecture, Graphics, and Software at Intel, presents “XPUs and Software for the Next Era of Computing.”
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Josh Walden, Intel senior vice president and general manager of the Design Engineering Group, presents “Flexibility in Design.”
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Ann Kelleher, Intel senior vice president and general manager of Technology Development, presents “Engineering for the Future.”
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Lisa Spelman, Intel corporate vice president in the Data Platform Group and general manager of the Xeon and Memory Group, presents “Unlocking Data at Scale with the Data Center of the Future.”
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Gregory Bryant, Intel executive vice president and general manager of the Client Computing Group, presents “Delivering Leadership Products.”
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Professor Amnon Shashua, senior vice president at Intel Corporation and president and chief executive officer of Mobileye, an Intel company, presents “Redefining Our Position: Beyond the Core.”
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Rich Uhlig, Intel Senior Fellow and director of Intel Labs, presents “Shaping the Future.”
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Real-Time Network Visibility is Critical for Data Centers

changhoon kim
Changhoon Kim
Intel Fellow
Chief Technology Officer, Applications, Barefoot Switch Division

By Changhoon Kim

Getting stuck in traffic is not fun. Not knowing what’s going on or how long you’ll be there is even worse. But it is an apt metaphor for the challenges – and solutions – facing data center networking.

Before the internet, people relied on the radio for traffic alerts. If you heard about a traffic jam and had the option to take an alternate route, the system worked fine. However, if you heard the traffic report after it was too late to take an alternate route, the system failed because the tracking and reporting didn’t happen in real time. Meanwhile, without knowing the exact location of each car and where it was heading, the traffic control system offered limited optimality.

More: Interconnect Technologies

Today, nearly every car has a GPS tracking system that uses the driver’s speed input and location to compile a live view of traffic conditions. The system can then navigate you onto the best route at any moment in time. This is analogous to data center traffic: Without tracking systems to identify network congestion issues in real time, network owners will inevitably experience delays before they have an opportunity to troubleshoot problems.

At Intel, we solve this problem using In-Band Network Telemetry (INT). I discussed the power of INT and real-time telemetry in my recent Micron to Miles briefing. INT is an imperative technology we use to help accelerate network performance, improve network agility and increase network visibility.

Telemetry in Real Time

Unlike alternative telemetry solutions that produce the same lag we see with radio traffic reports, INT collects data on every packet in the network as it happens. This provides a comprehensive understanding of network bottlenecks and steers packets to the least congested paths. Consequently, INT provides unprecedented visibility into packet conditions and offers complete network transparency. In terms of real-time applications such as video conferencing, voice over IP calls and factory automation, INT helps to avoid any loss or delay that could degrade application performance and cause noticeable consequences.

For in-depth analysis of INT information, Intel® Deep Insight™ Network Analytics Software collects, compiles and reports on all telemetry data for a holistic view of the network. This tool processes packet reports in real time, implementing intelligent analytics and data correlation techniques to detect network anomalies. These reports can also be stored for deeper historical analysis to allow data flows to react to other throughput degradation issues. Decisions can be made autonomously at any INT-capable device as well, further reducing the reaction time to congestion issues.

Host-Based INT

In my Micron to Miles presentation, we demonstrated an exciting new mode called “hos-based INT.” This capability is designed to report on network conditions from a viewpoint outside the network. For example, internet game companies depend on reliable internet speeds for a positive customer experience. With host-enabled INT, they can gauge performance from one end of the network to the other and determine whether an issue is coming from the network or their software application.

Long-Term Impact

INT and Intel Deep Insight Network Analytics Software provide a huge leap in reducing network congestion and anticipate the fastest path for data packets to reach their destination. These technologies can empower our customers to gain an in-depth understanding of challenges facing their networks, which is, and will continue to be, ever so critical as the demand for data continues to grow.

Changhoon Kim is an Intel Fellow and chief technology officer of Applications in the Barefoot Switch Division of Intel Corporation.

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AI at Your Fingertips: NVIDIA Launches Storefront in AWS Marketplace

AI is transforming businesses across every industry, but like any journey, the first steps can be the most important.

To help enterprises get a running start, we’re collaborating with Amazon Web Services to bring 21 NVIDIA NGC software resources directly to the AWS Marketplace. The AWS Marketplace is where customers find, buy and immediately start using software and services that run on AWS.

NGC is a catalog of software that is optimized to run on NVIDIA GPU cloud instances, such as the Amazon EC2 P4d instance featuring the record-breaking performance of NVIDIA A100 Tensor Core GPUs. AWS customers can deploy this software free of charge to accelerate their AI deployments.

We first began providing GPU-optimized software through the NVIDIA NGC catalog in 2017. Since then, industry demand for these resources has skyrocketed. More than 250,000 unique users have now downloaded more than 1 million of the AI containers, pretrained models, application frameworks, Helm charts and other machine learning resources available on the catalog.

Teaming Up for Another First in the Cloud

AWS is the first cloud service provider to offer the NGC catalog on their marketplace. Many organizations look to the cloud first for new deployment, so having NGC software available at the fingertips of data scientists and developers can help enterprises hit the ground running. With NGC, they can easily get started on new AI projects without having to leave the AWS ecosystem.

“AWS and NVIDIA have been working together to accelerate computing for more than a decade, and we are delighted to offer the NVIDIA NGC catalog in AWS Marketplace,” said Chris Grusz, director of AWS Marketplace at Amazon Web Services. “With NVIDIA NGC software now available directly in AWS Marketplace, customers will be able to simplify and speed up their AI deployment pipeline by accessing and deploying these specialized software resources directly on AWS.”

NGC AI Containers Debuting Today in AWS Marketplace

To help data scientists and developers build and deploy AI-powered solutions, the NGC catalog offers hundreds of NVIDIA GPU-accelerated machine learning frameworks and industry-specific software development kits. Today’s launch of NGC on AWS Marketplace features many of NVIDIA’s most popular GPU-accelerated AI software in healthcare, recommender systems, conversational AI, computer vision, HPC, robotics, data science and machine learning, including:

  • NVIDIA AI: A suite of frameworks and tools, including MXNet, TensorFlow, NVIDIA Triton Inference Server and PyTorch.
  • NVIDIA Clara Imaging: NVIDIA’s domain-optimized application framework that accelerates deep learning training and inference for medical imaging use cases.
  • NVIDIA DeepStream SDK: A multiplatform scalable video analytics framework to deploy on the edge and connect to any cloud.
  • NVIDIA HPC SDK: A suite of compilers, libraries and software tools for high performance computing.
  • NVIDIA Isaac Sim ML Training: A toolkit to help robotics machine learning engineers use Isaac Sim to generate synthetic images to train an object detection deep neural network.
  • NVIDIA Merlin: An open beta framework for building large-scale deep learning recommender systems.
  • NVIDIA NeMo: An open-source Python toolkit for developing state-of-the-art conversation AI models.
  • RAPIDS: A suite of open-source data science software libraries.

Instant Access to Performance-Optimized AI Software

NGC software in AWS Marketplace provides a number of benefits to help data scientists and developers build the foundations for success in AI.

  • Faster software discovery: Through the AWS Marketplace, developers and data scientists can access the latest versions of NVIDIA’s AI software with a single click.
  • The latest NVIDIA software: The NGC software in AWS Marketplace is federated, giving AWS users access to the latest versions as soon as they’re available in the NGC catalog. The software is constantly optimized, and the monthly releases give users access to the latest features and performance improvements.
  • Simplified software deployment: Users of Amazon EC2, Amazon SageMaker, Amazon Elastic Kubernetes Service (EKS) and Amazon Elastic Container Service (ECS) can quickly subscribe, pull and run NGC software on NVIDIA GPU instances, all within the AWS console. Additionally, SageMaker users can simplify their workflows by eliminating the need to first store a container in Amazon Elastic Container Registry (ECR).
  • Continuous integration and development: NGC Helm charts are also available in AWS Marketplace to help DevOps teams quickly and consistently deploy their services.

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Intel’s 2021 Predictions for the Edge

Intel has been transforming computing at the edge for years – delivering customer value across a range of industries from health and life sciences to industrial to retail to telecommunications and beyond.

The next few years promise to be exciting as analysts predict that by 2023, approximately 75% of data will be created outside the data center – in cities, factories, hospitals and stores. And more than 50% of that data will be processed, stored and analyzed directly at the edge, helping to deliver better latency, bandwidth, reliability, security and privacy.

As artificial intelligence becomes more pervasive and networks transform to deliver 5G, Intel’s leaders expect the edge to drive tremendous business value while also improving daily lives.

Here are their predictions.

bolesChristine Boles
Vice President, Internet of Things Group, and General Manager, Industrial Solutions Division, Intel

Accelerating industrial transformation: “The pandemic has greatly accelerated the need for companies to complete their Industry 4.0 transformations with solutions that allow them to have more flexibility, visibility and efficiency in their operations. We’ll see an acceleration of adoption of solutions that help address that need, ranging from AI including machine learning, machine vision and advanced analytics. As the economy bounces back, we’ll continue to see investment in the foundational OT infrastructure with more IT capabilities to allow the broad ecosystem of players to deploy these solutions and will see Industry 4.0 adoption significantly ramp up in 2021.”

More context: The Fourth Industrial Revolution – Transformation and Adoption (webinar) | New forces and technologies are accelerating industrial transformation


echevarriaRick Echevarria
Vice President, Sales, Marketing, and Communications Group, and General Manager, Olympic Program, Intel

Transforming sports: “In 2021, AI, 5G and edge computing will help athletes improve their athletic performance while transforming the way fans experience their favorite sports in a safe and interactive way, whether virtually, over broadcast or with a safe return to in-person.”

More context: Intel Technology Propels Olympic Games Tokyo 2020 Into the Future


jensenJoe Jensen
Vice President, Internet of Things Group, and General Manager, Retail, Banking, Hospitality & Education, Intel

Rethinking education: “In 2021, shifting to Education-as-a-Service will become a priority, and I expect advances in education policy and investment to drive this concept forward. It will be critical to shift funding and allocations to schools to advance this service model, to ensure that affordable and high-quality education is accessible to all students. Longer-term, Education As-A-Service will become the standard for education across the globe.”

Accelerating seamless retail solutions: “Micro-fulfillment centers have enabled smaller retailers to keep up with online retail giants during the pandemic. Over the next year, we will see the ‘warehouse-ization’ of retail – with retailers shifting focus to fulfilling orders, whether they be groceries or consumer goods, at micro-fulfillment locations. This will provide a savings and operational boon especially for smaller retailers, for enabling decreased rents and customer foot traffic.

“In the long-term, retailers will continue to reply on seamless, convenient solutions like dark stores to cost effectively serve delivery customers. To be a ‘winner’ in the changing retail space, retailers must transform production methods in creative ways to meet customer expectations.”

More context: Bringing Learning Home In Record Time | Blended Learning Starts with People, Not Curriculum | How Interactive Learning Gets Done | The Transformation of Retail: Shaping a Seamless Customer Experience


quachAlex Quach
Vice President and General Manager, Wireline and Core Network, Intel

Virtualizing the network: “Virtualization in the core network will hit a tipping point growing from 50%, to more than 80% of core network workloads to be virtualized in 2024, and we also expect the majority of the leading 5G Operators to start 5G standalone Core Deployments in 2021.”

More context: SK Telecom Waxes 5G Standalone Core R&D With Intel |  Intel Expands 5G Network Infrastructure Offerings in a $25B Market


rodriguezCristina Rodriguez
Vice President and General Manager, Wireless Access Network Division, Intel

Transforming the network: “With the network transforming at high-speeds, 2021 will see Massive MIMO deployment on vRAN architecture at scale (i.e., beyond trial phase, at thousands of sites).”

More context: DISH Selects Intel for Its Groundbreaking 5G Buildout | Intel Plays Key Role in World’s First Successful End-to-End Virtualized 5G Data Session


sharmaSameer Sharma
General Manager, Smart Cities and Intelligent Transportation, Intel

Making cities smarter: “2021 will be a breakout year for smart and resilient cities, infrastructure and transportation. In the short-term, we’ll see a sharp increase of mid-size cities adopting smart cities technology, which will lead to the democratization of technology outside of the usual tech hubs. Longer-term, smart cities infrastructure will be adopted in more rural areas, as consumers start to see the benefits for quality of life.

“To reach this future, we’ll also see a ramp up in technology investments, from the Edge (AI) to the (5G) network to the cloud. As cities continue to recover from the pandemic, technology will be a key driver in ensuring progress and adoption of new business models, leading to economic growth.”

More context: Reimagining Life in a Post-Pandemic World (e-book) | The Pandemic Drives New Era of Tech Collaboration | Houston Depends on Intel Tech for Healthcare, Education and Connectivity Solutions


shulmanStacey Shulman
Vice President, Internet of Things Group, and General Manager, Health, Life Sciences and Emerging Technologies, Intel

Improving health outcomes: “One of the things that is currently holding the healthcare industry back is standardizing medical records and data sharing across organizations. Collaboration in the medical industry for the purpose of solving illness and health issues can be critical, especially when it comes to public health crises and tracking population health, as we have seen with the pandemic this year.

“In 2021, we will see improvement in the delivery models for information sharing, as emerging technologies such AI and federated learning become more ubiquitous in healthcare. In addition to powering innovations like telehealth, these technologies will accelerate and streamline the collaboration process, making it easier for healthcare professionals to deliver quality care to their patients as well as stay up to date on new treatment options.”

More context: Survey Shows Next Era of Healthcare Will Be Powered by AI | How Remote Care Gets Done

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Intel Announces Its Next Generation Memory and Storage Products

Intel Optane Memory H20 1

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What’s New: Today, at Intel’s Memory and Storage 2020 event, the company highlighted six new memory and storage products to help customers meet the challenges of digital transformation. Key to advancing innovation across memory and storage, Intel announced two new additions to its Intel® Optane™ Solid State Drive (SSD) Series: the Intel® Optane™ SSD P5800X, the world’s fastest data center SSD, and the Intel® Optane™ Memory H20 for client, which features performance and mainstream productivity for gaming and content creation. Optane helps meet the needs of modern computing by bringing the memory closer to the CPU. The company also revealed its intent to deliver its 3rd generation of Intel® Optane™ persistent memory (code-named “Crow Pass”) for cloud and enterprise customers.

“Today is a key moment for our memory and storage journey. With the release of these new Optane products, we continue our innovation, strengthen our memory and storage portfolio, and enable our customers to better navigate the complexity of digital transformation. Optane products and technologies are becoming a mainstream element of business compute. And as a part of Intel, these leadership products are advancing our long-term growth priorities, including AI, 5G networking and the intelligent, autonomous edge.”
–Alper Ilkbahar, Intel vice president in the Data Platforms Group and general manager of the Intel Optane Group

What Else Intel Announced: Intel also announced three new NAND SSDs featuring 144-layer cell memory: the Intel SSD 670p, the company’s next-gen144-layer quad-level-cell (QLC) 3D NAND SSD for mainstream computing; the Intel SSD D7-P5510, the world’s first-to-market 144-layer triple-level-cell NAND design; and the Intel SSD D5-P5316, a greater-density, higher-endurance SSD built around the industry’s first 144-layer QLC NAND.

Why Intel Optane Technology Matters: With today’s Intel Optane technology announcements, Intel continues to establish a new tier in the data center memory and storage pyramid, which combines the attributes of both DRAM and NAND. Intel Optane SSDs alleviate data supply bottlenecks and accelerate applications with fast caching and fast storage to increase scale-per-server and reduce transaction costs for latency-sensitive workloads.

Intel Optane persistent memory is Intel’s vision of a memory and storage solution that offers persistence, capacity, affordability, low latency and memory-like speed. With Intel Optane persistent memory, Intel has re-architected the memory and storage hierarchy allowing it to be used as a distinct capacity and performance tier for memory and storage. With this approach, it is possible to create a two-tiered memory architecture where DRAM is the performance tier and persistent memory is the capacity tier. In the case of storage, Optane persistent memory is used as the performance tier to the NAND capacity tier.

Intel Optane persistent memory is attached to the CPU via the double-data rate bus, enabling direct load-and-store access at DRAM speeds; non-volatile, it combines the best elements of memory and storage.

Intel will further strengthen and extend its unique memory and storage portfolio with its 3rd generation of Intel Optane persistent memory, code-named “Crow Pass” and in future Intel® Xeon® Scalable processors (code-named “Sapphire Rapids.”)

Why 144-layer cell memory NAND Matters: Three new NAND SSDs announced today represent new milestones for establishing TLC and QLC as a mainstream technology for high-capacity drives. The Intel® 3D NAND SSD 670p is Intel’s next-gen 144-layer quad-level-cell (QLC) 3D NAND SSD for mainstream computing. The Intel SSD D7-P5510 is the world’s first-to-market 144-layer TLC NAND design and the Intel SSD D5-P5316 is built around the industry’s first 144-layer QLC NAND. Intel has been developing these technologies over the past decade.

More Context: Memory & Storage Moment 2020 (Press Kit) | Intel’s New  Memory and Storage Products (Fact Sheet) | Memory and Storage News

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AbbVie Uses Intel AI Tech to Improve Research Translations

abbvieWhat’s New: Global biopharmaceutical company AbbVie is leveraging artificial intelligence (AI) and natural language processing (NLP) for research translation, improving collaboration and search capabilities to enable the discovery of new treatments for patients.

“We built Abbelfish Machine Translation and AbbVie Search to accelerate and scale the work of our researchers, reducing the time it takes to discover and deliver transformative medicines and therapies for patients. We’re looking to leverage Intel technology in a new way to deploy these capabilities at scale across the enterprise.”
–Brian Martin, Head of Artificial Intelligence at AbbVie

Why It Matters: With 47,000 employees around the world, AbbVie serves more than 30 million patients in 175 countries. With a geographically diverse team collaborating on numerous projects at the same time, AbbVie’s researchers need to be able to access critical data in a variety of languages. Commercially available language translation services failed to provide the most accurate translations for their highly domain-specific biomedical text, making it difficult to collaborate and ensure access to the latest research – a challenge felt across the research industry by researchers who speak English as a second language. To solve this problem, AbbVie created its own domain-specific translation and search tools, leveraging AI.

How Abbelfish Machine Translation Works: Abbelfish Machine Translation is a language translation service originally designed for German to English translation, which has expanded to include Spanish, Italian, French, Portuguese, Russian, Chinese and Japanese. Over one million texts are translated each year with the Abbelfish service, using up to 10 concurrent translations per minute.

How AbbVie Search Works: AbbVie Search is a question and answer-based search tool for biomedical research, based on the BioBERT transformer model. AbbVie Search allows a research to ask a question, such as “What is the most common species of Human Coronavirus among adults,” with the system quickly responding with the answer, “HCoV-OC43” including a collection of relevant scientific articles and clinical notes.

About the Technology: AbbVie leveraged Intel technology to speed up inference for Abbelfish Machine Translation and AbbVie Search. With 2nd Gen Intel Xeon Scalable processors and the Intel Optimization for TensorFlow with Intel oneAPI Deep Neural Network Library, AbbView sped up Abbelfish by 1.9x. By leveraging 2nd Gen Intel Xeon and the Intel OpenVINO toolkit, AbbVie Search was accelerated by 5.3X.

More Context: Accelerating Natural Language Processing Inference Models using Processor Optimized Capabilities (Whitepaper)

Intel Customer Stories: Intel Customer Spotlight on | Customer Stories on Intel Newsroom

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Intel and Consilient Join Forces to Fight Financial Fraud with AI

What’s New: Consilient, a newly formed company dedicated to establishing a next-generation system for anti-money laundering and countering the financing of terrorism (AML/CFT), launched a new secure, federated learning platform powered by Intel® Software Guard Extensions (Intel® SGX). The artificial intelligence (AI) platform aims to prevent financial crime and enable secure collaboration among financial institutions while helping to protect privacy and secure data.

“The application of the Intel Software Guard Extensions (Intel SGX) technology in the financial space is incredibly exciting. Finance, as we’ve seen in many industries, is often limited by secure information sharing, and initial trial results between Intel and Consilient hold tremendous promise for the future of collaborative finance.”
–Anil Rao, Intel vice president and general manager, Data Platforms Security and Systems Architecture

Why It Matters: According to the United Nations, between 2% and 5% of gross domestic product (GDP) is laundered globally every year, which amounts to $800 billion to $2 trillion. Recognizing the need to move beyond a manual and fragmented monitoring system, Consilient built an intelligent, collaborative and always-on solution that leverages federated learning and Intel SGX to detect financial fraud.

By automating this process through federated learning, access to multiple datasets, databases and jurisdictions are encrypted without ever revealing the data or sensitive customer information to the different parties involved. Government and financial institutions can use this new platform to more accurately and efficiently detect illicit activity, with lower false positive rates, helping to combat financial crime, thwart higher-value money laundering, and enable legitimate individuals and businesses to manage risk more effectively.

“When banks try to detect illicit and fraudulent activity, the system is highly inefficient and ineffective, with over 95% of transaction monitoring rendering false positives and institutions unable to see risk beyond their own walls,” said Juan Zarate, global co-managing partner and chief strategy officer at K2 Integrity and first-ever assistant secretary of the U.S. Treasury for Terrorist Financing and Financial Crimes. “With Consilient’s federated machine learning technology, backed by Intel SGX, we are redesigning the way financial institutions and authorities discover and prevent financial crime risk dynamically and securely. This new approach allows organizations to save costs, redeploy personnel, and manage and prioritize more serious illicit finance risks efficiently and effectively.“

How It Works: Federated learning is a privacy-preserving machine learning (ML) technique and confidential computing model that enables AI training without centralizing data. Consilient has created a behavioral-based, ML-driven platform that runs on its DOZER™ technology. ML models can be trained across multiple datasets to detect and analyze “normal” and “abnormal” patterns that humans and most current technologies cannot. This allows participating institutions, authorities and regulators to collaborate while uncovering and managing systemic risks more effectively, efficiently and sustainably without putting private data at risk.

This computing model is made possible through Intel SGX, which uses a hardware-based trusted execution environment (TEE) to help isolate and protect specific application code and data in memory. The technology helps ensure the root of trust is limited to a small portion of the central processing unit’s hardware and the ML application itself, reducing the attack surface for potential threats, and better protecting the confidentiality and integrity of code and data.

consilients federated learning framework
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More information on using federated learning in the financial services industry is available in the white paper titled, Federated Learning through Revolutionary Technology.

More Context: Intel Works with University of Pennsylvania in Using Privacy-Preserving AI to Identify Brain Tumors | Advancing Both AI and Privacy is Not a Zero-Sum Game (Fortune Op-Ed)

Intel Customer Stories: Intel Customer Spotlight on | Customer Stories on Intel Newsroom

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New Intel oneAPI Toolkits for XPU Software Development

Intel oneAPI logo

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What’s New: Following a November announcement, Intel today released production of Intel® oneAPI toolkits for developing high-performance, cross-architecture applications for Intel® CPUs, GPUs and FPGAs, collectively described as XPUs. The version 2021.1 toolkits deliver oneAPI, an open, standards-based, unified cross-architecture programming model that provides developers the freedom to choose the best hardware for accelerated computing. In addition to the toolkit release, Lobachevsky University of Nizhni Novgorod announced a new oneAPI Center of Excellence.

“Extending Intel’s software development tools from CPUs to GPUs and FPGAs is a key milestone in our XPU journey. As we promised, the oneAPI industry initiative delivers on bringing an open, unified cross-architecture programming to the ecosystem¾providing an alternative to proprietary programming models. Our oneAPI toolkits, along with the Intel® DevCloud, provide the production tools needed to accelerate our advances into distributed intelligence era.”
–Raja Koduri, Intel senior vice president, chief architect and general manager of Architecture, Graphics and Software

Why oneAPI Matters: Today’s workloads benefit from specialized hardware architectures. However, these architectures have typically required unique languages and tools, which limits code reuse ¾ narrowing hardware choices and hindering adoption of innovative architectures. oneAPI’s heterogeneous programming model delivers performance without proprietary lock-in while interoperating with code written in familiar languages such as C, C++, Fortran and Python, and standards such as MPI and OpenMP.

Building on its rich heritage of proven developer tools, Intel’s oneAPI Base Toolkit includes compilers, performance libraries, analysis and debug tools, and a compatibility tool that aids in migrating code written in CUDA to Data Parallel C++ (DPC++). Additional toolkits for high performance computing (HPC), artificial intelligence (AI), internet of things and rendering provide tools and components to help accelerate specialized workloads.

Intel oneAPI toolkits enable developers to build cross-architecture applications using a single-code base across XPUs that take advantage of unique hardware features and lower software development and maintenance costs. Developers can choose the best architecture for the problem they are trying to solve without needing to rewrite software for the next architecture and platform.

Where to Get the Toolkits: The toolkits are free to download and use locally, or from the Intel® DevCloud, where developers can develop and test code and workloads on a variety of Intel CPUs, GPUs and FPGAs, and where select customers are already developing with oneAPI on the Intel® Iris® Xe-HP development platform. Access options include web download, repositories and containers. The toolkits also offer commercial versions providing worldwide support from Intel technical consulting engineers.

About the New oneAPI Center of Excellence: Lobachevsky University of Nizhni Novgorod (UNN) today announced a new oneAPI Center of Excellence (CoE) to facilitate studies in contemporary physics using the power of CPUs, GPUs and other accelerators with oneAPI cross-architecture programming. The Lobachevsky University oneAPI CoE joins others in place at the Stockholm University, Heidelberg University and the University of Illinois. UNN researchers’ first software to be ported to oneAPI is a high-intensity collisions and interactions open source framework, which is intended for the simulation of high-intensity laser-matter interactions.

About oneAPI Ecosystem Support: Since 2019, oneAPI ecosystem support has steadily grown. More than 60 leading research organizations, companies and universities support the oneAPI initiative and some note their success using Intel oneAPI toolkits. See oneAPI ecosystem support and reviews site for details. A new oneAPI applications catalog details more than 230 applications powered by oneAPI.

About Developer Resources: The following resources are available to help developers build high-performance, cross-architecture applications using oneAPI and the Intel oneAPI Toolkits:

More Context: Intel oneAPI Toolkits Fact Sheet | Intel oneAPI Toolkits Site | Intel oneAPI Technology Partners | oneAPI Ecosystem Support | Intel Releases oneAPI Toolkits for XPU Software Development (Fact Sheet)

The Small Print:

Performance varies by use, configuration and other factors. Learn more at

Performance results are based on testing as of dates shown in configurations and may not reflect all publicly available updates. See backup for configuration details. No product or component can be absolutely secure.

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

No product or component can be absolutely secure.

Your costs and results may vary.

Intel does not control or audit third-party data.  You should consult other sources to evaluate accuracy.

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

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Intel Advances Progress in Integrated Photonics for Data Centers

What’s New: Today, at Intel Labs Day, Intel highlighted industry-leading technological advances toward the realization of the company’s long-standing vision of integrating photonics with low-cost, high-volume silicon. The advancements represent critical progress in the field of optical interconnects, which address growing challenges around the performance scaling of electrical input/output (I/O) as compute-hungry data workloads increasingly overwhelm network traffic in data centers. Intel demonstrated advances in key technology building blocks, including miniaturization, paving the way for tighter integration of optical and silicon technologies.

“We are approaching an I/O power wall and an I/O bandwidth gap that will dramatically hinder performance scaling. The rapid progress Intel is making in integrated photonics will enable the industry to fully re-imagine data center networks and architectures that are connected by light. We have now demonstrated all of the critical optical technology building blocks on one silicon platform, tightly integrated with CMOS silicon. Our research on tightly integrating photonics with CMOS silicon can systematically eliminate barriers across cost, power and size constraints to bring the transformative power of optical interconnects to server packages.”
–James Jaussi, senior principal engineer and director of PHY Lab, Intel Labs

Why it matters: New data-centric workloads are growing every day within the data center, with ever-increasing data movement from server to server that is taxing the capabilities of today’s network infrastructure. The industry is quickly approaching practical limits of electrical I/O performance. As bandwidth demand for compute keeps increasing, electrical I/O isn’t scaling to keep pace, resulting in an “I/O power wall” that limits available power for compute operations. By bringing optical I/O directly into our servers and onto our packages, we can break down this barrier, enabling data to move more efficiently.

IP Header ImageAbout the New Technology Building Blocks: At the Intel Labs virtual event today, Intel demonstrated key progress in critical technology building blocks that are fundamental to the company’s integrated photonics research. These technology building blocks — including light generation, amplification, detection, modulation, complementary metal-oxide semiconductor (CMOS) interface circuits and package integration — are essential to achieve integrated photonics. A prototype shown at the event featured tight coupling of photonics and CMOS technologies, serving as a proof-of-concept of future full integration of optical photonics with core compute silicon. Intel also showcased micro-ring modulators that are 1000x smaller than traditional components. The large size and cost of conventional silicon modulators have been a barrier to bringing optical technology onto server packages, which require the integration of hundreds of these devices. These combined results pave the way for the extended use of silicon photonics beyond the upper layers of the network to inside the server and onto future server packages.

Key technology building blocks showcased:

  • Micro-ring modulators: Conventional silicon modulators take up too much area and are costly to place on IC packages. By developing micro-ring modulators, Intel has miniaturized the modulator by a factor of more than 1,000, thereby eliminating a key barrier to integrating silicon photonics onto a compute package.
  • All-silicon photodetector: For decades, the industry has believed silicon has virtually no light detection capability in the 1.3-1.6um wavelength range. Intel showcased research that proves otherwise. Lower cost is one of the main benefits of this breakthrough.
  • Integrated semiconductor optical amplifier: As the focus turns to reducing total power consumption, integrated semiconductor optical amplifiers are an indispensable technology, made possible with the same material used for the integrated laser.
  • Integrated multi-wavelength lasers: Using a technique called wavelength division multiplexing, separate wavelengths can be used from the same laser to convey more data in the same beam of light. This enables additional data to be transmitted over a single fiber, increasing bandwidth density.
  • Integration: By tightly integrating silicon photonics and CMOS silicon through advanced packaging techniques, we can gain three benefits: lower power, higher bandwidth and reduced pin count. Intel is the only company that has demonstrated integrated multi-wavelength lasers and semiconductor optical amplifiers, all-silicon photodetectors, and micro-ring modulators on a single technology platform tightly integrated with CMOS silicon. This research breakthrough paves the path for scaling integrated photonics.

What’s Next: Integrated photonics research demonstrated at the event showcased meaningful progress toward Intel’s ambitious goal initiated many years ago to tap light as the basis of connectivity technology. The new research opens possibilities, including future architectures that are more disaggregated, with multiple functional blocks such as compute, memory, accelerators and peripherals spread throughout the entire network and interconnected via optical and software in high-speed and low-latency links.

More Context: Intel Labs Day 2020 (Press Kit) | Intel Labs (Press Kit)

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