Showing posts with label Intel. Show all posts
Showing posts with label Intel. Show all posts

Monday, June 15, 2020

Intel announces Control-Flow Enforcement Technology

Intel is introducing a new security capability in its silicon microarchitecture to help protect against common malware attack methods that have been a challenge to mitigate with software alone.

Intel's new Control-Flow Enforcement Technology (Intel CET), which will be first available on Intel’s upcoming mobile processor code-named "Tiger Lake," is designed to protect against the misuse of legitimate code through control-flow hijacking attacks – widely used techniques in large classes of malware.

Intel CET offers software developers two key capabilities to help defend against control-flow hijacking malware: indirect branch tracking and shadow stack. Indirect branch tracking delivers indirect branch protection to defend against jump/call-oriented programming (JOP/COP) attack methods. Shadow stack delivers return address protection to help defend against return-oriented programming (ROP) attack methods. These types of attack methods are part of a class of malware referred to as memory safety issues and include tactics such as the corruption of stack buffer overflow and use-after-free.

Microsoft's support Intel CET in Windows 10 is called Hardware-enforced Stack Protection, and a preview of it is available today in Windows 10 Insider Previews. This new Hardware-enforced Stack Protection feature only works on chipsets with Intel CET instructions. It relies on a new CPU architecture that is compliant with Intel CET specifications. For applications running on an OS that supports Intel CET, users can expect detailed guidance from our partners on how applications “opt-in” for protection.

Wednesday, June 10, 2020

Intel launches "Lakefield" processors for ultralight devices

Intel introduced its "Lakefield" series of process for ultra small factors PC devices with single, dual, or foldable screens.

Intel said the new processors deliver full Windows 10 application compatibility in up to a 56% smaller package area for up to 47% smaller board size and extended battery life.

The new Intel Core processors with Intel Hybrid Technology leverage the company's Foveros 3D packaging technology and feature a hybrid CPU architecture for power and performance scalability.

“Intel Core processors with Intel Hybrid Technology are the touchstone of Intel’s vision for advancing the PC industry by taking an experience-based approach to designing silicon with a unique combination of architectures and IPs. Combined with Intel’s deepened co-engineering with our partners, these processors unlock the potential for innovative device categories of the future,” states Chris Walker, Intel corporate vice president and general manager of Mobile Client Platforms.

Wednesday, May 20, 2020

Intel acquires Rivet Networks for Killer Wi-Fi 6 modules

Intel has acquired Rivet Networks, a start-up offering Wi-Fi and Ethernet modules. Financial terms were not disclosed. Rivet is based in Austin, Texas.

Rivet's products maximize Wi-Fi bandwidth utilization and optimize the wireless network connection. Rivet's products can also utilize the combination of Ethernet and Wi-Fi to prioritize traffic over both connections. Its product line includes the Rivet Killer Wi-Fi 6 AX1650, a module based on Intel's Wi-Fi 6 chipset. The Killer AX1650 is a 2×2, WiFi 6 module that supports 160 MHz channels and Bluetooth 5.1.  It delivers up to 2.4 Gbps of throughput with low latencies.

The Rivet team will join Intel's Wireless Solutions Group within the Client Computing Group. Intel notes that it has taken a leading role in the development and testing of 801.11ax (Wi-Fi 6).



Friday, May 15, 2020

Intel outlines 2030 sustainability goals

Intel outlined new 2030 goals for continued progress toward environmental and social sustainability, including net positive water use, 100% green power, zero waste to landfills across its global manufacturing operations, doubling the number of women and underrepresented minorities in senior leadership roles, and scaling the impact of its supply chain human rights programs.

In its newly released its annual Corporate Responsibility Report, Intel defines global challenges that expand its commitment in resources, expertise, global reach and influence beyond its own operations to address challenges that can only be solved by collaborating across major organizations, industries and countries.

“The world is facing challenges that we understand better each day as we collect and analyze more data, but they go unchecked without a collective response – from climate change to deep digital divides around the world to the current pandemic that has fundamentally changed all our lives,” said Intel CEO Bob Swan. “We can solve them, but only by working together.”

Intel committed to engage industries, governments and communities to tackle three specific global challenges over the next decade:


  • Intel will work with partners in healthcare, life sciences and government to apply technology in strategic manufacturing, transportation and healthcare initiatives, including accelerating cures for diseases and improving health. Its efforts will include the company’s recently announced Pandemic Response Technology Initiative, which applies cloud, artificial intelligence (AI) and high-performance technology solutions to better diagnose, treat and cure COVID-19 and to help prepare for future pandemics.
  • Intel will lead a global coalition of industry leaders toward a common objective: The safety of autonomous vehicles should not be a point of differentiation but a shared goal. Through collaboration with industry and governments and development of new safety technologies and standards – such as Responsibility-Sensitive Safety (RSS) and the forthcoming IEEE 2846 – that will provide clear guidance on what it means for an autonomous vehicle to drive safely, we have the potential to save more lives with autonomous vehicles when compared to human drivers.
  • Intel will work with other companies to accelerate adoption of inclusive business practices across industries by creating and implementing a Global Inclusion Index open standard. Using common metrics, it will allow the industry to track progress in area such as achieving greater levels of women and minorities in senior and technical positions, accessible technology and equal pay. Intel has already been collaborating with Lenovo to convene CDIOs and HR professionals to drive industry transformation and stay at the forefront of this work.
  • Intel will partner with governments and communities to address the digital divide and expand access to technology skills needed for current and future jobs. An example is the Intel® AI For Youth program, which provides AI curriculum and resources to over 100,000 high school and vocational students in 10 countries and will continue to scale globally. By 2030, Intel plans to partner with governments in 30 countries and 30,000 institutions worldwide and is committed to empower more than 30 million people with AI skills training.
  • Intel will work with PC manufacturers to create the most sustainable and energy-efficient PC in the world – one that eliminates carbon, water and waste in its design and use. Specifically, the company is exploring a sustainability roadmap that would include enabling sensor technology to reduce power usage, partnering with material vendors on recyclable packaging and developing longer-term, energy-efficient architectures.
  • Intel will collaborate with industry and policymakers to apply technology to reduce emissions across high-impact industries.
  • Technology is not just at the heart of breakthroughs. It plays a vital role in the global communities, governments and services that people depend on every day to solve current crises while proactively tackling future ones.

http://csrreportbuilder.intel.com/pdfbuilder/pdfs/CSR-2019-20-Full-Report.pdf

Tuesday, May 12, 2020

Intel bets $132 million on 11 start-ups

Intel Capital announced investments totaling $132 million in 11 startups, and the company says it is on track to invest between $300 million and $500 million in technology companies in 2020, spanning technology domains in artificial intelligence, intelligent edge and network transformation.

Intel Capital’s New Investments:

  • Anodot (Redwood City, Calif.) uses machine learning to drive the future of analytics — autonomous business monitoring. Fortune 500 companies across telco, finance and digital sectors rely on Anodot’s real-time, contextual alerts to catch the incidents that impact revenue and costs. Examples include drops in success rate, customer incidents, app performance and other business metrics. By helping business users find and fix incidents quickly, Anodot helps customers cut incident management by as much as 80%.
  • Astera Labs (Santa Clara, Calif.) is a fabless semiconductor company that develops purpose-built connectivity solutions for data-centric systems to remove performance bottlenecks in compute-intensive workloads such as artificial intelligence and machine learning. The company’s product portfolio includes system-aware semiconductor integrated circuits, boards and services to enable robust connectivity for PCI Express® (PCIe®) and Compute Express Link™ (CXL) solutions.
  • Axonne (Sunnyvale, Calif.) develops next-generation high-speed Ethernet network connectivity solutions for automobiles. Axonne’s solutions integrate systems in the connected car, such as autonomous driving sensors and displays with compute clusters. The company’s proprietary mixed signal circuits, algorithms and digital signal processing help with demanding applications, such as autonomous driving and infotainment, that require a high degree of functional safety, reliability, security and electric vehicle-friendly power efficiency. These solutions also help to ease the transition of in-vehicle legacy electrical/electronic architectures to scalable and adaptable service-based zones and beyond.
  • Hypersonix (San Jose, Calif.) is an AI-powered autonomous analytics platform designed for consumer industries such as retail, restaurants, hospitality and ecommerce. Decision-makers need real-time actionable insights from disparate data sources, such as regional business performance or web traffic. Hypersonix’s platform empowers customers to make faster and smarter decisions that drive profitability, productivity and customer engagement through simple voice and text search, data visualization and interpretation.
  • KFBIO (Zhejiang, China) is a biotech company that builds digital pathology systems. Its pathology scanner improves on traditional microscopes with digital capabilities and connectivity. KFBIO’s medical image processing uses big data, cloud computing and AI to quickly and reliably scan and digitize images, making them easier to share for remote consultation with experts, and improve speed and accuracy of AI-aided pathologist diagnoses.
  • Lilt (San Francisco) aims to make the world’s information accessible to all with AI-powered language translation software and services. Traditional translation services can be time-consuming and costly – impeding companies from translating all the information that could be useful. Lilt’s software provides accurate, localized and cost-effective translation. Combining adaptive neural machine translation technology, a translation management system and professional translators, Lilt enables organizations to use language translation to scale their localization programs, accelerate go-to-market strategies and improve the global customer experience.
  • MemVerge (Milpitas, Calif.) is a software company founded on the vision that every application should run in memory. MemVerge's Memory Machine™ software is the foundation for a new era of Big Memory computing, providing petabyte-size pools of shared persistent memory and powerful data services so that data-centric applications such as AI, machine learning, financial market data analytics and high-performance computing are easier to develop and deploy. MemVerge's Big Memory software lowers the cost of memory, allows it to scale out and makes it highly available with memory data services such as ZeroIO™ snapshot, memory replication, and lightning-fast recovery.
  • ProPlus Electronics (Shandong, China) is an electronic design automation (“EDA”) company, specializing in advanced device modeling and fast circuit simulation solutions. ProPlus helps to close the divide between design and manufacturing with software that makes chip design faster and fabrication yields higher, allowing the semiconductor industry to create more powerful and diverse products.
  • Retrace (San Francisco) believes that smarter, more innovative use of dental data is essential for reducing the oral disease burden. Retrace applies artificial intelligence and other advanced technology in its predictive analytics platform that uses real-time data to improve dental decision-making. Retrace empowers health plans, providers, and patients to create a more cost-effective, evidence-based oral healthcare experience.
  • Spectrum Materials (Fujian, China) is a high-purity specialty gas and material supplier for semiconductor fabs. It has one of the largest germane production bases in Quanzhou, Fujian. Led by veteran industry experts, Spectrum Materials is dedicated to providing critical specialty gas and material solutions for advanced process node applications of multiple leading fabs around the world.
  • Xsight Labs (Kiryat Gat, Israel) develops innovative technology for accelerating next generation, cloud-based, data-intensive workloads such as machine learning, data analytics and disaggregated storage. In this data-centric era with exponential bandwidth growth, Xsight provides new chipset designs that enhance scalability, performance and efficiency.


https://newsroom.intel.com/news/intel-capital-invests-132-million-11-disruptive-technology-startups/#gs.6fgcf1

Monday, May 4, 2020

Intel acquires Moovit for Urban Mobility App

Intel has acquired Moovit, an Israeli-based mobility-as-a-service (MaaS) solutions company, for approximately $900 million ($840 million net of Intel Capital equity gain).

Moovit's urban mobility application offers multimodal trip planning by combining public transportation, bicycle and scooter services, ride-hailing, and car-sharing. The app has more than 800 million users and services in 3,100 cities across 102 countries. Moovit was founded in 2012 and has approximately 200 employees.

Moovit has also signed strategic partnership agreements with major ride-sharing operators and mobility ecosystem companies for analytics, routing, optimization and operations for MaaS. With this acquisition, Mobileye will be able to use Moovit’s large proprietary transportation dataset to optimize predictive technologies based on customer demand and traffic patterns, as well as tap into Moovit’s transit data repository of more than 7,500 key transit agencies and operators.

Intel says the addition of Moovit brings its Mobileye business closer to achieving its plan to become a complete mobility provider, including robotaxi services, which is forecast to be an estimated $160 billion opportunity by 2030.

“Intel’s purpose is to create world-changing technology that enriches the lives of every person on Earth, and our Mobileye team delivers on that purpose every day,” said Bob Swan, Intel CEO. “Mobileye’s ADAS technology is already improving the safety of millions of cars on the road, and Moovit accelerates their ability to truly revolutionize transportation – reducing congestion and saving lives – as a full-stack mobility provider.”

Mobileye enables advanced driver-assistance systems (ADAS) and is currently deployed on nearly 60 million vehicles with more than 25 automaker partners.

“Moovit’s massive global user base, proprietary transportation data, global editors community, strong partnerships with key transit and mobility ecosystem partners, and highly skilled team is what makes them a great investment,” said Professor Amnon Shashua, CEO of Mobileye. “Moovit is a strong brand trusted by hundreds of millions of people globally. Together, with Mobileye’s extensive capabilities in mapping and self-driving technology, we will be able to accelerate our timeline to transform the future of mobility.”

“We are excited to join forces with Mobileye and lead the future revolution of new mobility services,” said Nir Erez, Moovit co-founder and CEO. “Mobility is a basic human right, and as cities become more crowded, urban mobility becomes more difficult. Combining the daily mobility habits and needs of millions of Moovit users with the state-of-the-art, safe, affordable and eco-friendly transportation enabled by self-driving vehicles, we will be able to make cities better places to live in. We share this vision and look forward to making it a reality as part of Mobileye.”


  • Intel acquired Mobileye in 2017. 

Thursday, April 23, 2020

Intel's Data Center Group revenues leapt 43% in Q1

Intel posted Q1 2020 revenue of $19.8 billion, up 23% YoY. The company generated approximately $6.2 billion in cash from operations, paid dividends of $1.4 billion and used $4.2 billion to repurchase 71 million shares of stock.

Intel achieved 34 percent data-centric revenue growth and 14 percent PC-centric revenue growth YoY.

First-quarter data-centric results were led by strength in the Data Center Group (DCG) with revenue up 43 percent YoY driven by broad strength including 53 percent YoY growth in cloud service provider revenue.

Intel's memory business (NSG) and Mobileye both set new revenue records in the first quarter. Also, Intel introduced a broad, datacentric portfolio for 5G network infrastructure, including the new Intel Atom P5900, a 10nm system-on-chip (SoC) for wireless base stations; a next-generation structured ASIC for 5G network acceleration (code-named “Diamond Mesa”); and new 2nd Gen Intel Xeon Scalable processors.

Intel confirmed that it has maintained essential factory operations with greater than 90 percent on-time delivery while supporting employees, customers and communities in response to the COVID-19 pandemic.

“Our first-quarter performance is a testament to our team's focus on safeguarding employees, supporting our supply chain partners and delivering for our customers during this unprecedented challenge,” said Bob Swan, Intel CEO. “The role technology plays in the world is more essential now than it has ever been, and our opportunity to enrich lives and enable our customers' success has never been more vital. Guided by our cultural values, competitive advantages and financial strength, I am confident we will emerge from this situation an even stronger company."

On March 24, 2020, Intel announced the suspension of share buybacks in light of the COVID-19 pandemic. The dividend remains unchanged.

Thursday, April 9, 2020

Intel and Georgia Tech to lead DARPA project

Intel and the Georgia Institute of Technology have been selected to lead a Guaranteeing Artificial Intelligence (AI) Robustness against Deception (GARD) program team for the Defense Advanced Research Projects Agency (DARPA).

The goal of the GARD program is to establish theoretical ML system foundations that will not only identify system vulnerabilities and characterize properties to enhance system robustness, but also promote the creation of effective defenses. Through these program elements, GARD aims to create deception-resistant ML technologies with stringent criteria for evaluating their effectiveness.

The first phase of GARD will focus on enhancing object detection technologies through spatial, temporal and semantic coherence for both still images and videos.

Intel is the prime contractor in this four-year, multimillion-dollar joint effort to improve cybersecurity defenses against deception attacks on machine learning (ML) models.

“Intel and Georgia Tech are working together to advance the ecosystem’s collective understanding of and ability to mitigate against AI and ML vulnerabilities. Through innovative research in coherence techniques, we are collaborating on an approach to enhance object detection and to improve the ability for AI and ML to respond to adversarial attacks,” states Jason Martin, principal engineer at Intel Labs and principal investigator for the DARPA GARD program from Intel.

Monday, April 6, 2020

MaxLinear to acquire Intel’s Home Gateway Platform Division

MaxLinear agreed to acquire Intel’s Home Gateway Platform Division assets in an all-cash, asset transaction valued at $150 million. The Home Gateway Platform Division comprises Wi-Fi Access Points, Ethernet and Home Gateway SoC products deployed across operator and retail markets.

MaxLinear said the acquisition will complement its existing portfolio, bringing together a complete and scalable platform of connectivity and access solutions for its customers across target end-markets, as well as creating potential new revenue opportunities in adjacent target end-markets.

MaxLinear expects initially to add approximately $60 million to $70 million in quarterly revenue, and the acquisition is expected to be accretive to MaxLinear’s non-GAAP earnings, in the first full quarter post close.

“MaxLinear is excited by the strong potential for growth and the ability to enhance our value proposition to our existing customers with the addition of the Intel Home Gateway Platform Division, which includes its Wi-Fi Access Point assets, Ethernet, and Home Gateway SoC products,” said Kishore Seendripu, Ph.D., Chairman and CEO of MaxLinear. “These assets add significant scale to our entire business while enabling us to provide a compelling WiFi product offering with tremendous growth opportunities inside and outside of the Connected Home, including expanding the portfolio to include IoT solutions. We are excited to welcome a world class engineering team with best in class technology competency that will greatly expand MaxLinear’s significant analog/RF mixed-signal portfolio with large scale SoC product capabilities, software expertise, and comprehensive networking competencies spanning our target markets.”

“Intel and MaxLinear have a strong track record of collaboration to deliver gateway platforms for the home, and I’m confident this will be a seamless transition for our mutual customers and employees,” said Weng Kuan Tan, general manager of the Home Gateway Platform Division and corporate Vice President of the Client Computing Group at Intel. “It will also allow Intel’s Client Computing Group to focus on our vision of delivering PC platforms that power every person’s greatest contribution while having no impact on Intel’s Internet of Things Group or Intel’s Network Platform Group.”

Monday, March 23, 2020

Huawei launches servers with Intel's latest Cascade Lake refresh processors

Intel has launched new servers based on Intel's latest Cascade Lake Refresh processor, which delivers a performance that is 36% higher than its predecessors.

The launch includes rack servers 1288H V5, 2288H V5, 2298 V5, and 5288 V5, high-density server X6000 V5, and blade server E9000.

Huawei said the rapid rollout of these new servers reflect the closeness between Huawei and Intel.

Wednesday, March 18, 2020

Intel readies Pohoiki Springs neuromorphic research chip

Intel announced the readiness of Pohoiki Springs, its latest and most powerful neuromorphic research system providing the computational capacity of 100 million neurons. Pohoiki Springs is a data center rack-mounted system. It integrates 768 Loihi neuromorphic research chips inside a chassis the size of five standard servers. Neuromorphic systems are not intended to replace conventional computing systems. Instead, they provide a tool for researchers to develop and characterize new neuro-inspired algorithms for real-time processing, problem solving, adaptation and learning.

The cloud-based system will be made available to members of the Intel Neuromorphic Research Community (INRC), extending their neuromorphic work to solve larger, more complex problems.

“Pohoiki Springs scales up our Loihi neuromorphic research chip by more than 750 times, while operating at a power level of under 500 watts. The system enables our research partners to explore ways to accelerate workloads that run slowly today on conventional architectures, including high-performance computing (HPC) systems,” stated Mike Davies, director of Intel’s Neuromorphic Computing Lab

Intel says its Loihi processors take inspiration from the human brain, processing certain workloads up to 1,000 times faster and 10,000 times more efficiently than conventional processors.


Intel releases Loihi research chip for neuromorphic processing

Intel introduced an 8 million-neuron neuromorphic system comprising 64 Loihi research chips — codenamed Pohoiki Beach.

Intel says the highly specialized processor applies principles found in biological brains to computer architectures. The Loihi devices aime to process information up to 1,000 times faster and 10,000 times more efficiently than CPUs for specialized applications like sparse coding, graph search and constraint-satisfaction problems.

“We are impressed with the early results demonstrated as we scale Loihi to create more powerful neuromorphic systems. Pohoiki Beach will now be available to more than 60 ecosystem partners, who will use this specialized system to solve complex, compute-intensive problems,” stated Rich Uhlig, managing director of Intel Labs.



https://newsroom.intel.com/news/intels-pohoiki-beach-64-chip-neuromorphic-system-delivers-breakthrough-results-research-tests/#gs.pyxrlk

Sunday, March 1, 2020

Deutsche Telekom to test cloud-based virtual RAN with VMware, Intel

VMware and Deutsche Telekom are collaborating on an open and intelligent virtual RAN (vRAN) platform, based on O-RAN standards, for both existing LTE and future 5G networks.

The solution is based on Intel’s FlexRAN architecture. It runs vRAN workloads on top of VMware’s telco cloud platform. The design is optimized for real-time and low latency workloads. The solution will also feature a VMware-developed pre-standard, near-real-time RAN Intelligent Controller (RIC) that will adopt O-RAN open interfaces with required enhancements to enable real-time radio resource management capabilities to be delivered as applications on top of the platform. VMware, Deutsche Telekom and Intel are collaborating with an open partner ecosystem to develop this solution, and key initial partners include Cohere Technologies and Mavenir.

Deutsche Telekom will conduct testing and validation at its headquarters in Bonn, Germany.

“As the traditional RAN becomes the open RAN, we need to accelerate the development of scalable high-performance open RAN solutions. Our collaboration with VMware and Intel aims to address scalability and related economics for vRAN macro layer deployment,” says Alex Jinsung Choi, SVP Strategy & Technology Innovation (STI), Deutsche Telekom. “Going forward, we will jointly collaborate with the open RAN vendor ecosystem to accelerate commercial availability of solutions.”

“This solution brings the promise of RAN to the forefront for today’s LTE networks and tomorrow’s 5G networks,” said Shekar Ayyar, executive vice president and general manager, Telco and Edge Cloud, VMware. “In a 5G world, the RAN needs to become software-defined in order to meet the needs of CSPs, and what we’re proposing with this open and intelligent vRAN platform will do exactly that.”

https://www.telekom.com/

Monday, February 24, 2020

Intel launches 10nm chip for 5G base stations

Intel introduced a 10nm SoC for wireless base stations. The company is predicting that it will be the leading silicon provider in base stations by 2021, a year earlier than it had earlier forecast, after design wins with three leading base station manufacturers.

Notable, the new Atom P5900 processor extends the Intel architecture from the core to access and all the way to the farthest edge of the network. 

The Atom P5900 promises up to a 1.8X boost in integer processing. In terms of load balancing, the Atom P5900 is expected to deliver a 3.7X performance boost over software-based solutions. For encryption processing, the processor will offer a 5.6X boost over software-only alternatives.




Intel announces network-optimized 2nd Gen Xeon Scalable processors

Intel announced 2nd Gen Intel Xeon Scalable processors, promising an average of 36% more performance and an average of 42% more performance per dollar than the prior generation Intel Xeon Gold.

The new processors — labeled with an “R,” “T” or “U” suffix — are designed for dual- and single-socket mainstream and entry-level server systems. The addition of more cores and increased cache in these processors are targeted at workloads where capacity-per-server is critical, such as virtualized clouds, hyper-converged infrastructure (HCI) and network function virtualization (NFV).

Intel also announced today two new processors (Intel Xeon Gold 6256 and 6250) that feature the industry’s highest server processor frequency, delivering a base and turbo frequency up to 3.9 GHz and 4.5 GHz, respectively. These

Intel said this wave of Xeon Scalable processors are network-optimized and can deliver up to 58% more performance for NFV workloads. The company cited development partnerships with CenturyLink, China Mobile, SK Telecom, and Sprint.

“Intel’s data-centric platforms offer the broadest market coverage of any server processor platform -– from the cloud, through the network, to the intelligent edge,” said Lisa Spelman, corporate vice president and general manager of the Xeon and Memory Group within Intel’s Data Platform Group. “Working closely with our customers, we are delivering these new server processors to address their performance and pricing needs across a broad range of markets and workloads.”





https://newsroom.intel.com/news/xeon-scalable-5g-network-portfolio-launch/#gs.xerm31

Intel unveils Diamond Mesa ASIC for 5G network acceleration

Intel unveiled "Diamond Mesa", its first next-generation structured ASIC for 5G network acceleration. It complements Intel’s portfolio of processors and FPGAs.

Intel said structured ASICs like Diamond Mesa provide a minimum-risk optimization path for workloads that do not require the full programmability of FPGAs, targeting double the performance efficiency versus the prior generation, and uniquely position Intel as the only provider delivering a full silicon platform foundation for network infrastructure.

Diamond Mesa is currently sampling early access customers.

In addition, Intel introduced "Edgewater Channel," a 5G network-optimized Ethernet NIC.

The new Ethernet 700 Series Network Adapter with Hardware-Enhanced Precision Time Protocol is Intel’s first 5G-optimized network adapter, offering GPS-based cross-network service synchronization with Hardware-Enhanced Precision Time Protocol (PTP).

Latency requirements across 5G network implementations have challenged existing Ethernet technology, especially in edge servers.

Intel said maintaining accurate time synchronization across the network at a cost-effective price point is one avenue to help address application latency. The Ethernet 700 series adapter increases the timing precision required for 5G networks through a combination of hardware and software enhancements.

Edgewater Channel is sampling now and will enter production in Q2‘20.

Wednesday, February 19, 2020

Intel outlines "Horse Ridge" cryogenic quantum control chip

Intel Labs, in collaboration with QuTech ‑ a partnership between TU Delft and TNO (Netherlands Organization for Applied Scientific Research) ‑ outlined key technical features of its new cryogenic quantum control chip codenamed "Horse Ridge". The research is aimed at integrating silicon spin qubit devices and cryogenic controls in a streamlined package.

Some highlights:

Scalability: The integrated SoC design, implemented using Intel’s 22nm FFL (FinFET Low Power) CMOS technology, integrates four radio frequency (RF) channels into a single device. Each channel is able to control up to 32 qubits leveraging “frequency multiplexing” – a technique that divides the total bandwidth available into a series of non-overlapping frequency bands, each of which is used to carry a separate signal. Leveraging these four channels, Horse Ridge can potentially control up to 128 qubits with a single device, substantially reducing the number of cables and rack instrumentations previously required.
Fidelity: Increases in qubit count trigger other issues that challenge the capacity and operation of the quantum system. One such potential impact is a decline in qubit fidelity and performance. In developing Horse Ridge, Intel optimized the multiplexing technology that enables the system to scale and reduce errors from “phase shift” – a phenomenon that can occur when controlling many qubits at different frequencies, resulting in crosstalk among qubits.

Intel outlined these details in a research paper released at the 2020 International Solid-State Circuits Conference (ISSCC) in San Francisco. The paper unveils key technical capabilities of Horse Ridge that address fundamental challenges in building a quantum system powerful enough to demonstrate quantum practicality: scalability, flexibility and fidelity.

“Today, quantum researchers work with just a small number of qubits, using smaller, custom-designed systems surrounded by complex control and interconnect mechanisms. Intel’s Horse Ridge greatly minimizes this complexity. By systematically working to scale to thousands of qubits required for quantum practicality, we’re continuing to make steady progress toward making commercially viable quantum computing a reality in our future,” stated Jim Clarke, director of quantum hardware, Intel Labs.

Thursday, January 23, 2020

Intel posts strong Q4 as revenue rises 8%

Intel reported record fourth-quarter revenue of $20.2 billion, up 8 percent year-over-year. Full-year revenue was a record $72.0 billion, up 2 percent YoY.  Fourth-quarter earnings per share (EPS) was $1.58 ($1.52 on a non-GAAP basis).


“In 2019, we gained share in an expanded addressable market that demands more performance to process, move and store data,” said Bob Swan, Intel CEO. “One year into our long-term financial plan, we have outperformed our revenue and EPS expectations. Looking ahead, we are investing to win the technology inflections of the future, play a bigger role in the success of our customers and increase shareholder returns."

Some highlights:

  • Data Center Group (DCG) revenue grew 19 percent YoY in the fourth quarter, driven by robust demand from cloud service provider customers and a continued strong mix of high-performance 2nd-Generation Intel Xeon Scalable processors. Intel acquired Habana Labs in the fourth quarter, strengthening its artificial intelligence portfolio for the data center. 
  • Internet of Things Group (IOTG) revenue was up 13 percent on strength in retail and transportation. 
  • Mobileye achieved record revenue, up 31 percent YoY on increasing ADAS adoption. 
  • Intel's memory business (NSG) was up 10 percent YoY on continued NAND and Intel Optane™ bit growth. 
  • PSG fourth-quarter revenue was down 17 percent YoY.
  • PC-centric business (CCG) was up 2 percent on higher modem sales and desktop platform volumes. Major PC manufacturers have introduced 44 systems featuring the new, 10nm-based 10th Gen Intel Core processors (previously referred to as "Ice Lake"), and momentum continues to build for Project Athena. 


https://www.intc.com/investor-relations/financials-and-filings/earnings-results/default.aspx

Tuesday, January 21, 2020

Dr. Omar Ishrak elected Chairman of Intel

Dr. Omar Ishrak was elected independent chairman of Intel's Board of Directors, replacing Andy D. Bryant, who Bryant will remain on the board through the end of Intel’s 2020 annual stockholders’ meeting. He had previously notified the board in March 2019 that he did not intend to stand for re-election at this year’s meeting.

Intel also announced that Alyssa Henry was elected to Intel’s board. Her election marks the seventh new independent director added to Intel’s board since the beginning of 2016.

“I want to thank and congratulate Andy for over seven years’ service as chairman of the board,” said Intel CEO Bob Swan. “Andy has been a rudder for Intel during a time of change and transformation. He has led the board with integrity and always with Intel’s best interest in mind.”

Wednesday, January 8, 2020

Intel says Mobileye is its fastest growing business

At CES 2020, Mobileye revealed new growth metrics, including more than 54 million EyeQ chips shipped to date. 2019 was another record year for the company, with sales close to $1 billion driven by significant growth in the ADAS market.

Intel said Mobileye is now its fastest-growing business. Intel acquired Mobileye in 2017.

In his annual CES address, Intel Senior Vice President and Mobileye CEO Prof. Amnon Shashua discussed "VIDAR,” Mobileye’s unique solution for achieving outputs akin to lidar using only camera sensors. In addition, he detailed how Mobileye achieves pixel-level scene segmentation that can be used to detect tiny fragments of road users such as wheelchairs, open vehicle doors and more, as well as the ways in which Mobileye technology turns two-dimensional sensors into 3D understanding.

Monday, December 16, 2019

Intel acquires Habana Labs for $2 billion - AI chipset

Intel has acquired Habana Labs, an Israel-based developer of programmable deep learning accelerators for the data center, for approximately $2 billion.

Habana’s Gaudi AI Training Processor is currently sampling with select hyperscale customers. Large-node training systems based on Gaudi are expected to deliver up to a 4x increase in throughput versus systems built with the equivalent number of GPUs. Gaudi is designed for efficient and flexible system scale-up and scale-out.

Additionally, Habana’s Goya AI Inference Processor, which is commercially available, has demonstrated excellent inference performance including throughput and real-time latency in a highly competitive power envelope. Gaudi for training and Goya for inference offer a rich, easy-to-program development environment to help customers deploy and differentiate their solutions as AI workloads continue to evolve with growing demands on compute, memory and connectivity.

Habana will remain an independent business unit and will continue to be led by its current management team. Habana will report to Intel’s Data Platforms Group, home to Intel’s broad portfolio of data center class AI technologies.

“This acquisition advances our AI strategy, which is to provide customers with solutions to fit every performance need – from the intelligent edge to the data center,” said Navin Shenoy, executive vice president and general manager of the Data Platforms Group at Intel. “More specifically, Habana turbo-charges our AI offerings for the data center with a high-performance training processor family and a standards-based programming environment to address evolving AI workloads.”

Habana Labs chairman Avigdor Willenz will serve as a senior adviser to the business unit as well as to Intel Corporation after Intel’s purchase of Habana.

“We have been fortunate to get to know and collaborate with Intel given its investment in Habana, and we’re thrilled to be officially joining the team,” said David Dahan, CEO of Habana. “Intel has created a world-class AI team and capability. We are excited to partner with Intel to accelerate and scale our business. Together, we will deliver our customers more AI innovation, faster.”


Interview: Habana Labs targets AI processors



Habana Labs, a start-up based in Israel with offices in Silicon Valley, emerged from stealth to unveil its first AI processor. Habana's deep learning inference processor, named Goya, is >2 orders of magnitude better in throughput & power than commonly deployed CPUs, according to the company. The company will offer a PCIe 4.0 card that incorporates a single Goya HL-1000 processor and designed to accelerate various AI inferencing workloads,...

Habana Labs, a start-up based in Tel-Aviv, Israel, raised $75 million in an oversubscribed series B funding for its development of AI processors.

Habana Labs is currently in production with its first product, a deep learning inference processor, named Goya, that is >2 orders of magnitude better in throughput & power than commonly deployed CPUs, according to the company. Habana is now offering a PCIe 4.0 card that incorporates a single Goya HL-1000 processor and designed to accelerate various AI inferencing workloads, such as image recognition, neural machine translation, sentiment analysis, recommender systems, etc.  A PCIe card based on its Goya HL-1000 processor delivers 15,000 images/second throughput on the ResNet-50 inference benchmark, with 1.3 milliseconds latency, while consuming only 100 watts of power. The Goya solution consists of a complete hardware and software stack, including a high-performance graph compiler, hundreds of kernel libraries, and tools.

Habana Labs expects to launch an training processor - codenamed Gaudi - in the second quarter of 2019.

The funding round was led by Intel Capital and joined by WRV Capital, Bessemer Venture Partners, Battery Ventures and others, including existing investors. This brings total funding to $120 million. The company was founded in 2016.

“We are fortunate to have attracted some of the world’s most professional investors, including the world’s leading semiconductor company, Intel,” said David Dahan, Chief Executive Officer of Habana Labs. “The funding will be used to execute on our product roadmap for inference and training solutions, including our next generation 7nm AI processors, to scale our sales and customer support teams, and it only increases our resolve to become the undisputed leader of the nascent AI processor market.”

“Among all AI semiconductor startups, Habana Labs is the first, and still the only one, which introduced a production-ready AI processor,” said Lip-Bu Tan, Founding Partner of WRV Capital, a leading international venture firm focusing on semiconductors and related hardware, systems, and software. “We are delighted to partner with Intel in backing Habana Labs’ products and its extraordinary team.”

https://habana.ai/

Intel ships its Nervana Neural Network Processors

Intel announced the commercial production of its Nervana Neural Network Processors (NNP) for training (NNP-T1000) and inference (NNP-I1000).

The new devices are Intel’s first purpose-built ASICs for complex deep learning for cloud and data center customers. Intel said its Nervana NNP-T strikes the right balance between computing, communication and memory, allowing near-linear, energy-efficient scaling from small clusters up to the largest pod supercomputers. Both products were developed for the AI processing needs of leading-edge AI customers like Baidu and Facebook.

Intel also revealed its next-generation Movidius Myriad Vision Processing Unit (VPU) for edge media, computer vision and inference applications. Additionally, Intel’s next-generation Intel Movidius VPU, scheduled to be available in the first half of 2020, incorporates unique, highly efficient architectural advances that are expected to deliver leading performance — more than 10 times the inference performance as the previous generation — with up to six times the power efficiency of competitor processors.

“With this next phase of AI, we’re reaching a breaking point in terms of computational hardware and memory. Purpose-built hardware like Intel Nervana NNPs and Movidius Myriad VPUs are necessary to continue the incredible progress in AI. Using more advanced forms of system-level AI will help us move from the conversion of data into information toward the transformation of information into knowledge,” stated Naveen Rao, Intel corporate vice president and general manager of the Intel Artificial Intelligence Products Group.

“We are excited to be working with Intel to deploy faster and more efficient inference compute with the Intel Nervana Neural Network Processor for inference and to extend support for our state-of-the-art deep learning compiler, Glow, to the NNP-I,” said Misha Smelyanskiy, director, AI System Co-Design at Facebook.