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

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.



Monday, December 9, 2019

Intel unveils cryogenic control chip for quantum systems

Intel Labs unveiled a cryogenic control chip — code-named “Horse Ridge” — for quantum computing systems. Horse Ridge is a mixed-signal SoC that brings the qubit controls into the quantum refrigerator — as close as possible to the qubits themselves. It effectively reduces the complexity of quantum control engineering from hundreds of cables running into and out of a refrigerator to a single, unified package operating near the quantum device.

Intel said the Horse Ridge design radically simplifies the control electronics required to operate a quantum system. It replaces bulky instruments with a highly-integrated system-on-chip (SoC) that will simplify system design and allow for sophisticated signal processing techniques to accelerate set-up time, improve qubit performance and enable the system to efficiently scale to larger qubit counts. Designed to act as a radio frequency (RF) processor to control the qubits operating in the refrigerator, Horse Ridge is programmed with instructions that correspond to basic qubit operations. It translates those instructions into electromagnetic microwave pulses that can manipulate the state of the qubits.

The Horse Ridge chip, which was developed with TU Delft and TNO (Netherlands Organization for Applied Scientific Research), will enable control of multiple quantum bits (qubits) and set a clear path toward scaling larger quantum systems. Horse Ridge is fabricated using Intel’s 22nm FinFET technology.

“While there has been a lot of emphasis on the qubits themselves, the ability to control many qubits at the same time had been a challenge for the industry. Intel recognized that quantum controls were an essential piece of the puzzle we needed to solve in order to develop a large-scale commercial quantum system. That’s why we are investing in quantum error correction and controls. With Horse Ridge, Intel has developed a scalable control system that will allow us to significantly speed up testing and realize the potential of quantum computing,” states Jim Clarke, Intel’s director of Quantum Hardware.


Monday, December 2, 2019

Apple completes purchase of Intel's Smartphone Modem Business

Intel completed the sale of the majority of its smartphone modem business to Apple.

The deal, which was valued at $1 billion, includes intellectual property, equipment, leases and approximately 2,200 Intel employees.

Intel said the transaction enables it to focus on developing technology for 5G networks while retaining the option to develop modems for non-smartphone applications, such as PCs, internet of things devices and autonomous vehicles.

Combining the acquired patents for current and future wireless technology with Apple’s existing portfolio, Apple will hold over 17,000 wireless technology patents, ranging from protocols for cellular standards to modem architecture and modem operation. Intel will retain the option to develop modems for non-smartphone applications, such as PCs, internet of things devices and autonomous vehicles.

Sunday, November 17, 2019

Intels shows its Ponte Vecchio GPU and oneAPI programming model

Intel unveiled its new general-purpose "Ponte Vecchio" GPU architecture for HPC/AI acceleration, along with its new oneAPI, a unified and scalable programming model for the era of HPC/AI convergence.

The oneAPI industry initiative ains to deliver a unified and simplified programming model for application development across heterogenous processing architectures, including CPUs, GPUs, FPGAs and other accelerators. The oneAPI specification includes a direct programming language, powerful APIs and a low-level hardware interface. Intel’s oneAPI beta software provides developer tools that include compilers, libraries and analyzers, packaged into domain-focused toolkits. The initial oneAPI beta release targets Intel Xeon Scalable processors, Intel Core processors with integrated graphics, and Intel FPGAs, with additional hardware support to follow in future releases. Developers can download the oneAPI tools, test drive them in the Intel oneAPI DevCloud, and learn more about oneAPI at software.intel.com/oneAPI.

The new general-purpose GPUs are based on Intel’s Xe architecture. Ponte Vecchio will be manufactured on Intel’s 7nm technology and will be Intel’s first Xe-based GPU optimized for HPC and AI workloads. Ponte Vecchio will leverage Intel’s Foveros 3D and EMIB packaging innovations and feature multiple technologies in-package, including high-bandwidth memory, Compute Express Link interconnect and other intellectual property.

Intel said these announcements, which are being made at this week's Supercomputing 2019 in Denver, represent a paradigm shift from today’s single-architecture, single-vendor programming models.




“HPC and AI workloads demand diverse architectures, ranging from CPUs, general-purpose GPUs
and FPGAs, to more specialized deep-learning NNPs, which Intel demonstrated earlier this month,” said Raja Koduri, senior vice president, chief architect, and general manager of architecture, graphics and software at Intel. “Simplifying our customers’ ability to harness the power of diverse computing environments is paramount, and Intel is committed to taking a software-first approach that delivers a unified and scalable abstraction for heterogeneous architectures.”

https://newsroom.intel.com/news-releases/intel-unveils-new-gpu-architecture-optimized-for-hpc-ai-oneapi/#gs.gqf475

Thursday, November 14, 2019

Intel adds Sequoia Capital exec to board

Intel has added James (Jim) J. Goetz to its board of directors.

Goetz, 54, has served as a partner of Sequoia Capital, a venture capital firm, since June 2004. Prior to joining Sequoia, Goetz co-founded VitalSigns Software, where he assembled and led the team that pioneered end-user performance management. Prior to VitalSigns, he was vice president of Network Management for Bay Networks. Goetz currently serves on the boards of several privately held companies, and, since April 2005, on the board of Palo Alto Networks Inc., a network security solution company. Goetz previously served on the boards of directors of Barracuda Networks Inc., a data security and storage company from 2009 to 2017; Nimble Storage Inc., a data storage company, from 2007 to 2017; Jive Software Inc., a provider of social business software, from 2007 to 2015; and Ruckus Wireless Inc., a manufacturer of wireless (Wi-Fi) networking equipment, from 2012 to 2015, among others.

This marks the sixth new independent director added to Intel’s board since the beginning of 2016.

Tuesday, November 5, 2019

Azure offers SAP HANA servers with up to 9TB of Intel Optane DCPM

At Microsoft Ignite 2019 in Orlando, Microsoft and Intel made several announcements highlighting the traction Intel Optane DC Persistent Memory is receiving for on-prem Microsoft software and Azure cloud services.

Highlights:

  • Microsoft Azure introduced a family of cloud instances for SAP HANA and equipped with 2nd gen Intel Xeon Scalable processors and Optane DCPM. These instances offer up to 9TB of memory capacity per server based on Optane DC persistent memory. 
  • Microsoft and Intel worked together to enable SQL Server 2019 and Windows Server 2019 for Optane DC persistent memory, taking advantage of the large memory capacity and access to persistent data that is much faster than solid state drives.
  • DataON and QCT announced Intel Select Solutions for Azure Stack HCI. These are workload-optimized and verified by Intel. These leverage Optane DCPM for the storage cache. 

Intel outlines “Barlow Pass” - 2nd gen Optane DCPM

Intel outlined a series of milestones in advancing memory and storage for cloud, artificial intelligence and network edge applications.

Developments include:

  • Intel plans to operate a new Optane technology development line at its facilities in Rio Rancho, New Mexico; 
  • The second-generation of Intel Optane DC Persistent Memory, code-named “Barlow Pass,” scheduled for release in 2020 with Intel’s next-generation Intel Xeon® Scalable processor 
  • Intel’s industry-first demonstration of 144-layer QLC (Quad Level Cell) NAND for data center SSDs (solid-state drives), which are also expected in 2020.
Intel said the combination of its Optane technology with QLC 3D NAND technology on a single M.2 module enables Intel Optane memory expansion into thin and light notebooks and certain space-constrained desktop form factors – such as all-in-one PCs and mini PCs. The new product also offers a higher level of performance not met by traditional Triple Level Cell (TLC) 3D NAND SSDs today and eliminates the need for a secondary storage device.

Wednesday, October 30, 2019

Intel posts record revenue of $19.2B driven by data-centric business

Intel reported Q3 2019 revenue of $19.2 billion, which is $1.2 billion higher than guidance issued in July, and an all-time quarterly record. Intel said the performance was driven by record data-centric revenue, which were up 6 percent YoY. PC-centric revenue was in-line with expectations, down 5 percent compared to last year. GAAP EPS of $1.35 declined 2 percent YoY; non-GAAP EPS of $1.42 was up 1 percent. The company raised its full-year revenue outlook to $71 billion, up $1.5 billion from July guidance.



“We've been on a multiyear journey to reposition Intel’s portfolio to take advantage of the exponential growth of data. Our third-quarter financial performance underscores our progress as our data-centric businesses turned in their best performance ever, making up almost half our total revenue in a record quarter,” said Bob Swan, Intel CEO. “Our priorities are accelerating growth, improving our execution and deploying capital for attractive returns. We now expect to deliver a fourth record year in a row.”

Some highlights:

  • The Data Center Group (DCG) delivered record revenue driven by a strong mix of high-performance Intel Xeon processors and growth in every segment of the business. 
  • The communications service provider segment grew 11 percent.
  • The cloud segment returned to growth, up 3 percent
  • Enterprise and government revenue grew 1 percent. 
  • The Internet of Things Group (IOTG) also achieved record revenue, up 9 percent on strength in retail and transportation. 
  • Mobileye achieved record revenue, up 20 percent YoY on increasing ADAS adoption. 
  • Intel's memory business (NSG) also achieved record revenue, up 19 percent YoY. 
  • The Programmable Solutions Group (PSG) shipped the first 10nm-based Intel® Agilex™ FPGAs in the third quarter. PSG third-quarter revenue was up 2 percent YoY.



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

Thursday, October 24, 2019

Intel intros Tremont microarchitecture

Intel unveiled Tremont, its next-generation, low-power x86 microarchitecture promising significant IPC (instructions per cycle) gains gen-over-gen compared with Intel’s prior low-power x86 architectures.

Tremont is aimed at compact, low-power packages and innovative form factors for client devices, creative applications for the internet of things (IoT), data center products, etc.

Tremont is integrated within a wider set of silicon IPs in Lakefield, which will power innovative devices like the recently announced dual-screen Microsoft Surface Neo. Iy includes several advancements in ISA (instruction set architecture), microarchitecture, security and power management. Specifically, Tremont’s unique 6-wide (2x3-wide clustered) out-of-order decoder in the front end allows for a more efficient feed to the wider back end, which is fundamental for performance.

The announcement was made at this week's Linley Fall Processor Conference 2019 in Silicon Valley.

https://newsroom.intel.com/wp-content/uploads/sites/11/2019/10/introducing-intel-tremont-microarchiture.pdf

Monday, October 21, 2019

Corning and Intel develop 5G In-Building Networks

Corning and Intel agreed to collaborate on 5G in-building networks. The work combines Corning’s 5G network solutions powered by Intel Xeon Scalable processors and Intel FlexRAN Reference Software Architecture.

“5G will enable dramatic advances in the way people work and companies create value,” said Michelle Engarto, vice president, Wireless Product Line Management, Corning Optical Communications. “Capturing the benefits will require flexible and scalable infrastructure that can evolve and adapt as fast as software-based applications.  Fiber offers effectively unlimited bandwidth and is protocol agnostic. Virtualization converts a traditional hardware challenge into a software-based solution. By combining fiber and virtualization, Corning and Intel will demonstrate the ultimate in flexibility and scalability for in-building 5G infrastructure.”

“Our collaboration with Corning will help ensure the 5G revolution does not stop at the building door,” said Cristina Rodriguez, vice president and general manager of Wireless Access Networks Division, Data Center Group at Intel.

“This Intel-based foundation for next-generation virtualized radio access networks (vRAN) will enable customers to reap the full benefits of 5G based platforms for ultra-reliable low latency, enhanced mobile bandwidth, and massive machine-to-machine communication both inside and outside their buildings,” she said.

The new enterprise platform will be commercially available in 2020.

https://www.corning.com/worldwide/en/products/communication-networks/applications/wireless-networks.html

Tuesday, October 15, 2019

Intel acquires Smart Edge from Pivot Technology Solutions

Intel agreed to acquire the Smart Edge intelligent-edge platform business from Pivot Technology Solutions Inc., an IT infrastructure and service provider. Financial terms were not disclosed.

Smart Edge is a cloud-native, scalable and secure platform for multi-access edge computing (MEC). The Smart Edge platform is built to run on Intel Xeon Scalable processors and, going forward, Intel Optane memory, Intel FPGAs and other accelerators. Smart Edge’s software is also highly complementary with Intel’s OpenNESS (Open Network Edge Services Software) project. Approximately 25 Smart Edge employees will join Intel’s Network and Custom Logic Group (NCLG) when the transaction closes, which is expected in the coming weeks.

Intel said the Smart Edge platforms will enable enterprises and communications service providers to bring cloud-like services closer to the user on the customer-premise or network edge.

“This transaction enhances our ability to address the 5G network transformation with a leading position in edge computing. We plan to take full advantage of our combined technologies and teams to accelerate the development of the edge computing market while creating a compelling solution for customers,” stated Dan Rodriguez, Intel vice president in the Data Center Group and general manager of the Network Compute Division.

Also, as a part of this acquisition, Intel and Pivot will sign a Preferred Partner Agreement, which identifies Pivot as an authorized Smart Edge reseller and Intel’s non-exclusive Preferred Systems Integrator for Smart Edge-based edge services solutions.

“Intel is the right company and brand to advance and scale Smart Edge’s software solution,” said Kevin Shank, CEO of Pivot. “Our partnership with Intel will leverage Pivot’s core strengths as a technology integrator and service provider with Intel’s advanced technology solutions to drive the adoption of the Smart Edge platform. We look forward to collaborating with Intel to develop and take to market many new edge computing use cases.”

https://newsroom.intel.com/news/intel-eyes-leadership-5g-edge-computing-acquiring-smart-edge/#gs.agncn0

See also