Showing posts with label ARM. Show all posts
Showing posts with label ARM. Show all posts

Sunday, May 23, 2021

25 billion Arm-based chips shipped in 2020

Arm confirmed that the shipment of a record 7.3 billion Arm-based chips by its silicon partners in the last calendar quarter of 2020, up 22% y-o-y. Arm partners also shipped a total of 25 billion Arm-based chips in 2020 (up 13% y-o-y), bringing the total deployment of Arm-based chips to-date to more than 190 billion units.

Additionally, with more than eight billion GPUs shipped cumulatively, and more than one billion GPUs reported shipped in 2020, Arm Mali™ graphics processors remain the world’s number one shipping GPU.


The Arm ecosystem continues to expand, with 162 licenses signed in FY20 by 104 different customers. More than half of the licenses were taken by first-time Arm partners. Recent customer wins include SEMIFIVE and Telechips. Additionally, there are now 90 active Arm Flexible Access partners benefitting from easier access to a broad range of world-leading Arm IP, tools and support.

Rene Haas, President, IP Products Group, Arm, said: “We expect demand for Arm-based solutions across all markets to continue, and to accelerate following the introduction of the Armv9 architecture. Armv9 is enabling our partners to offer greater performance and security in the products they are creating for 5G networks, more efficient data centers, and a huge range of endpoint- and automotive-based computing. This growth underlines our expectation that 100 percent of the world’s shared data will soon be processed on Arm; either at the endpoint, in the data networks or the cloud – forming a seamless compute thread throughout.”

https://www.arm.com/

Wednesday, May 19, 2021

Ampere makes inroads with Microsoft, Tencent, Oracle

Ampere Computing hosted a technology update event in which it said it on track to deliver by next year new CPU designs with cores designed in-house and optimized for cloud-native workloads.

The company's current generation 80-core Altra and 128-core Altra Max processors, which are based on ARM Neoverse N1 architecture, are now shipping to customers including Microsoft, Oracle, Tencent, Bytedance and others. 

Ampere also announced a collaboration with Microsoft to bring new cloud-scale processing solutions to the market.



https://amperecomputing.com/

Monday, April 19, 2021

UK to examine NVIDIA’s takeover of ARM


The U.K.'s Digital Secretary, Oliver Dowden, instructed the Competition and Markets Authority (CMA) to begin an investigation into the proposed sale of ARM to NVIDIA.

ARM, which is headquartered in Cambridge, is a major global player in the semiconductor industry. 

Digital Secretary Oliver Dowden states: “Following careful consideration of the proposed takeover of ARM, I have today issued an intervention notice on national security grounds.

“As a next step and to help me gather the relevant information, the UK’s independent competition authority will now prepare a report on the implications of the transaction, which will help inform any further decisions.

“We want to support our thriving UK tech industry and welcome foreign investment, but it is appropriate that we properly consider the national security implications of a transaction like this.”


Wednesday, March 31, 2021

Arm aims v9 at secure processing from edge to core

Arm introduced its v9 architecture which is expected to become the processing basis for hundreds of billions of devices in the years ahead.

Armv9, which is the first new Arm architecture in a decade, introduces the Arm Confidential Compute Architecture (CCA)- a new method for shielding portions of code and data from access or modification while in-use, even from privileged software, by performing computation in a hardware-based secure environment.

The Arm CCA will introduce the concept of dynamically created Realms, useable by all applications, in a region that is separate from both the secure and non-secure worlds. For example, in business applications, Realms can protect commercially sensitive data and code from the rest of the system while it is in-use, at rest, and in transit. 


“As we look toward a future that will be defined by AI, we must lay a foundation of leading-edge compute that will be ready to address the unique challenges to come,” said Simon Segars, chief executive officer, Arm. “Armv9 is the answer. It will be at the forefront of the next 300 billion Arm-based chips driven by the demand for pervasive specialized, secure and powerful processing built on the economics, design freedom and accessibility of general-purpose compute.”

“Addressing the demand for more complex AI-based workloads is driving the need for more secure and specialized processing, which will be the key to unlocking new markets and opportunities,” said Richard Grisenthwaite, SVP, chief architect and fellow, Arm. “Armv9 will enable developers to build and program the trusted compute platforms of tomorrow by bridging critical gaps between hardware and software, while enabling the standardization to help our partners balance faster time-to-market and cost control alongside the ability to create their own unique solutions.”

https://www.arm.com/campaigns/arm-vision

Tuesday, December 8, 2020

Arm perspective on Next-Gen Edge: Portability is Key

As we think about moving computing from the core data centers to the edge, portability will be key to building out edge infrastructure. In this video, Chris Bergey, SVP/GM Infrastructure Line of Business at Arm, talks about the concept of portability as illustrated in Arm's Project Cassini which brings cloud-native technologies to the edge to enable a secure and portable computing environment.

https://youtu.be/LUY1zJvYQqI






Tuesday, September 22, 2020

Arm expands its Neoverse data center server CPU porfolio

Arm is unveiling two new platforms in its Neoverse silicon portfolio for data centers CPUs: 

  • the Arm Neoverse V1 platform, delivering a single-threaded performance uplift of more than 50% over N1 and aimed at applications more reliant on CPU performance and bandwidth. Neoverse V1 supports Scalable Vector Extensions (SVE), which enables execution of single-instruction multiple dispatch (SIMD) integer, bfloat16, or floating-point instructions on wider vector units using a software programming model that’s agnostic to the width of the unit. Arm says SVE will ensure portability and longevity of the software code, along with efficient execution. Potential markets include high-performance cloud, HPC, and machine learning.
  • the Neoverse N2, which is the second-generation N-series platform, and aimed at the scale-out performance needs of applications across a range of use cases, from cloud to SmartNICs and enterprise networking, to power-constrained edge devices.  Neoverse N2 offers 40% higher single-threaded performance, compared to Neoverse N1, and retains the same level of power and area efficiency as Neoverse N1.
Arm's Neoverse roadmap now extends from 7nm devices currently in production, to 5nm designs in 2021 and 3nm in 2022.


Arm cited growing momentum for its Neoverse silicon across a range of data center applications. Operating systems and hypervisors, Xen, KVM, Docker containers, and, increasingly, Kubernetes have all announced support for Arm. 

http://www.arm.com



Tuesday, September 15, 2020

Co-founder of ARM urges UK to block sale to NVIDIA

 Hermann Hauser, co-founder of Arm, published an open letter to the Prime Minister of the United Kingdom urging that the sale of Arm to Nvidia be blocked.

Hauser presents three arguments:

  • the impact on jobs in Cambridge, Manchester, Belfast, Glasgow, Sheffield and Warwick once the company's headquarters are moved out of the UK;
  • the inevitable destruction of Arm's open licensing business model 
  • national economic sovereignty.

As an alternative to the sale, Hauser urges a public listing on the London Stock Exchange, with the UK government investing £1-2bn and getting a Golden Share to ensure the public interest.

https://savearm.co.uk/

Sunday, September 13, 2020

NVIDIA to acquire ARM for $40 billion

 In a deal that will redefine the semiconductor market, NVIDIA agreed to acquire Arm Limited from Softbank for $40 billion. Under the deal, NVIDIA will pay to SoftBank a total of $21.5 billion in NVIDIA common stock and $12 billion in cash. NVIDIA will also issue $1.5 billion in equity to Arm employees. The deal does not include Arm’s IoT Services Group.

NVIDIA vowed to retain Arm's open-licensing model while maintaining the global customer neutrality that has been foundational to its success. NVIDIA also committed to retaining Arm's headquarters in Cambridge, UK.

SoftBank will retain a minority stake in NVIDIA, which is expected to be under 10%.

“AI is the most powerful technology force of our time and has launched a new wave of computing,” said Jensen Huang, founder and CEO of NVIDIA. “In the years ahead, trillions of computers running AI will create a new internet-of-things that is thousands of times larger than today’s internet-of-people. Our combination will create a company fabulously positioned for the age of AI.

“Simon Segars and his team at Arm have built an extraordinary company that is contributing to nearly every technology market in the world. Uniting NVIDIA’s AI computing capabilities with the vast ecosystem of Arm’s CPU, we can advance computing from the cloud, smartphones, PCs, self-driving cars and robotics, to edge IoT, and expand AI computing to every corner of the globe.

“This combination has tremendous benefits for both companies, our customers, and the industry. For Arm’s ecosystem, the combination will turbocharge Arm’s R&D capacity and expand its IP portfolio with NVIDIA’s world-leading GPU and AI technology.

https://nvidianews.nvidia.com/news/nvidia-to-acquire-arm-for-40-billion-creating-worlds-premier-computing-company-for-the-age-of-ai

NVIDIA acquires Mellanox - focus on Next Gen Data Centers

NVIDIA completed its $7 billion acquisition of Mellanox Technologies. The deal was originally announced on March 11, 2019.

NVIDIA says that by combining its computing expertise with Mellanox’s high-performance networking technology, data center customers will achieve higher performance, greater utilization of computing resources and lower operating costs.

“The emergence of AI and data science, as well as billions of simultaneous computer users, is fueling skyrocketing demand on the world’s datacenters,” said Jensen Huang, founder and CEO of NVIDIA. “Addressing this demand will require holistic architectures that connect vast numbers of fast computing nodes over intelligent networking fabrics to form a giant datacenter-scale compute engine.

“We share the same vision for accelerated computing as NVIDIA,” said Eyal Waldman, founder and CEO of Mellanox. “Combining our two companies comes as a natural extension of our longstanding partnership and is a great fit given our common performance-driven cultures. This combination will foster the creation of powerful technology and fantastic opportunities for our people.”

NVIDIA also promised to continue investing in Israel, where Mellanox is based.

NVIDIA acquires Cumulus, promising full-stack data center innovation

NVIDIA has acquired Cumulus Networks. Financial terms were not disclosed.

Cumulus, which was founded in 2010 by JR Rivers and Nolan Leake, developed a Linux-based operating system for network switches. The company signed licensing deals with Dell, HPE, Mellanox, and Lenovo. Cumulus is also known for its pioneering work with the open network install environment (ONIE) project.  Investors in the company included Andreessen Horowitz, Battery Ventures, Sequoia Capital, Peter Wagner and 4 of the 5 original VMware founders. Cumulus is based in Mountain View, California.

NVIDIA said the combination of its recently-acquired Mellanox division with Cumulus Networks will enable a new era for accelerated, software-defined data centers.

NVIDIA's target is to "innovate and optimize across the entire networking stack from chips and systems to software including analytics like Cumulus NetQ, delivering great performance and value to customers."

Mellanox has been collaborating with Cumulus since 2013. Mellanox Spectrum switches already ship with Cumulus Linux and SONiC, the open source offering forged in Microsoft’s Azure cloud and managed by the Open Compute Project.

SoftBank Confirms Acquisition of ARM

SoftBank Group Corp. agreed to acquire ARM Holdings Plc in an all-cash deal valued at £24.3 billion. (US$32.4 billion), or 1,700 pence per ARM share, and representing a premium of 43% over the closing price on preceding trading day. The deal would be Softbank's largest to date.


SoftBank, which is based in Tokyo and is headed by Masayoshi Son, said it intends to preserve the ARM organization and business model, including ARM's senior management team and its headquarters in Cambridge, England. The companies said they intend to double employee headcount in the UK over the next five years.

ARM is the leading developer of RISC processor designs that are widely licensed for use in smartphones, tablets, laptops, desktops, embedded systems, and, increasing, servers. The company posted 2015 revenue of £968.3 million. A total of 14.8 billion ARM-powered SoCs shipped in 2015, up from just over 12 billion in 2014.

SoftBank will fund the acquisition with cash on hand and a load from Mizuho Bank of Japan.


“We have long admired ARM as a world renowned and highly respected technology company that is by some distance the market-leader in its field. ARM will be an excellent strategic fit within the SoftBank group as we invest to capture the very significant opportunities provided by the “Internet of Things,” stated  Masayoshi Son, Chairman and CEO of SoftBank.

Regarding strategic rationale, both companies said they see big opportunities ahead with IoT.




Thursday, August 20, 2020

DARPA’s Electronics Resurgence Initiative signs Arm

Arm today announced a three-year partnership agreement with the U.S. Defense Advanced Research Projects Agency (DARPA), establishing an access framework to all commercially available Arm technology.

Under DARPA’s Electronics Resurgence Initiative, the research community that supports DARPA’s programs will gain access to Arm’s IP, tools and support programs.

“The span of DARPA research activity opens up a huge range of opportunities for future technological innovation,” said Rene Haas, president, IP Products Group, Arm. “Our expanded DARPA partnership will provide them with access to the broadest range of Arm technology to develop compute solutions supported by the world’s largest ecosystem of tools, services and software.”

“DARPA’s programs within the Microsystems Technology Office (MTO) focus on the most advanced challenges in microelectronics; equipping our community with best in class technologies is essential not only for break-through scientific and engineering advances, but also for improved transition into military and commercial applications,” stated Serge Leef, who leads design automation and secure hardware programs in MTO.

https://www.darpa.mil/work-with-us/electronics-resurgence-initiative

Monday, June 22, 2020

ARM-powered Fugaku supercomputer is No.1 on the TOP500 list

The Fugaku supercomputer, a system jointly developed by RIKEN and Fujitsu Limited, and based on Arm technology, now holds the number one spot of the TOP500 list of supercomputers.

The Fugaku supercomputer, which is located at the RIKEN Center for Computational Science, is the flagship system designed to support a number of applications that will address both social and scientific issues as Japan works to achieve the nation's “Society 5.0” vision.

Fugaku achieved a LINPACK score of 415.53 petaflops, a much higher score than the 148.6 petaflops of its nearest competitor, Summit in the United States, using 152,064 of its eventual 158,976 nodes.

Tuesday, May 26, 2020

ARM unveils its latest mobile CPUs and GPUs

Arm introduced its latest Cortex-A78 CPU, Mali-G78 and Ethos-N78 machine learning chip for next generation, 5G smartphones.

The new Arm Cortex-A78 CPU is designed for multi-day, immersive 5G experiences. It promises a 20% increase in sustained performance over Cortex-A77-based devices within a 1-watt power budget, and more efficient management of compute workloads along with greater on-device Machine Learning (ML) performance.

The Mali-G78, which will deliver a 25% increase in graphics performance relative to Mali-G77, brings support for up to 24 cores. Arm is also introducing a new sub-premium tier of GPUs. The first in this new tier is the Arm Mali-G68, which supports up to 6 cores and inherits all the latest Mali-G78 features, enabling our partners to deliver high-performance experiences to a wider audience of developers and consumers.

Arm also introduced a Cortex-X Custom program to give OEMs the option of having more flexibility and scalability for increasing performance. The Cortex-X Custom Program allows for customization and differentiation beyond the traditional roadmap of Arm Cortex products, enabling our partners with a solution for providing the ultimate performance for specific use cases. Arm Cortex-X1 is the program’s first CPU and the most powerful Cortex CPU to date. With a 30% peak performance increase over Cortex-A77, it offers an even more competitive solution for flagship smartphones and large-screen devices.

Monday, February 10, 2020

Arm debuts Neural Processing Unit and Cortex-M55

Arm introduced its first microNPU (Neural Processing Unit) for delivering machine learning for its Cortex-M processor line. The company also introduced its Cortex-M55, its most AI-capable Cortex-M processor to date and the first based on the Armv8.1-M architecture with Arm Helium vector processing technology for significantly enhanced, energy-efficient DSP and ML performance. Cortex-M55 delivers up to a 15x uplift in ML performance and a 5x uplift in DSP performance, with greater efficiency, compared to previous Cortex-M generations. Arm claims a combined 480x leap in ML performance to microcontrollers.

“Enabling AI everywhere requires device makers and developers to deliver machine learning locally on billions, and ultimately trillions of devices,” said Dipti Vachani, senior vice president and general manager, Automotive and IoT Line of Business, Arm.

“Google and Arm have been collaborating to fully optimize TensorFlow on Arm’s architecture, enabling machine learning on embedded devices for very power-constrained and cost-sensitive applications, often deployed without network connectivity. This new IP from Arm furthers our shared vision of billions of TensorFlow-enabled devices using ML at the endpoint. These devices can run neural network models on batteries for years, and deliver low-latency inference directly on the device,” states Ian Nappier, Product Manager, TensorFlow Lite for Microcontrollers, Google.

https://www.arm.com/company/news/2020/02/new-ai-technology-from-arm

Tuesday, October 8, 2019

Arm to support custom instructions for Cortex CPUs

Arm will introduce a new custom instructions feature for its Armv8-M architecture. The approach gives chip designers the ability to add unique application-specific features into Cortex-M33 CPUs.

Arm Custom Instructions will initially be implemented in Arm Cortex-M33 CPUs starting in the first half of 2020 at no additional cost to new and existing licensees, enabling SoC designers to add their own instructions for specific embedded and IoT applications without risk of software fragmentation.

“A world of a trillion secure intelligent devices will be built on a diversity of complex use cases requiring increased synergy between hardware and software design,” said Dipti Vachani, senior vice president and general manager, Automotive and IoT Line of Business, Arm. “We have engineered Arm Custom Instructions to fuel closer hardware and software co-design efforts toward achieving application-specific acceleration while unlocking greater device differentiation.”

https://www.arm.com/company/news/2019/10/arm-enables-custom-instructions-for-embedded-cpus

Monday, May 27, 2019

Arm unveils next gen Cortex CPU for 5G

Arm unveiled its latest Cortex-A77 CPU, promising a 20% performance improvement over current generation Cortex-A76 devices.

The new Cortex-A77, which targets smartphones, laptops, and other mobile devices, is positioned as Arm's Cortex-A77 5G-ready processor. It will be implemented in 7nm. The company notes that the past two generations of Cortex-A7x series processors (Cortex-A76 and Cortex-A77) have increased overall ML performance by 35x.

Arm is also introducing its Mali-G77 GPU, which leverages its new Valhall architecture to deliver a nearly 40% performance improvement over the previous Mali-G76 devices. Mali-G77 also boasts key microarchitecture enhancements including engine, texture pipes, and load store caches, which achieve 30% better energy efficiency and 30% more performance density. 

In addition, Cadence Design Systems announced that its full-flow digital and signoff tools support the new Arm Cortex-A77 CPU. Cadence delivered a complete 7nm Rapid Adoption Kit (RAK) that utilizes Arm 7nm POP™ IP libraries.

https://www.arm.com/company/news/2019/05/delivering-next-generation-ai-experiences-for-the-5g-world

Tuesday, March 12, 2019

First edge infrastructure dev platform for 7nm Arm Neoverse

Arm, Cadence Design Systems, and Xilinx introduced a development platform cloud-to-edge infrastructure based on the new Arm Neoverse N1.

The Neoverse N1 System Development Platform (SDP) is based on TSMC’s 7nm FinFET process technology and is also the industry’s first 7nm infrastructure development platform enabling asymmetrical compute acceleration via the CCIX interconnect architecture/

The joint solution is available to hardware and software developers for hardware prototyping, software development, system validation, and performance profiling/tuning. It includes Cadence IP for CCIX, PCI Express (PCIe) Gen 4 and DDR4 PHY IP.

The SDP includes a Neoverse N1-based SoC with an operating frequency of up to 3GHz, full-sized caches and generous amounts of memory bandwidth with the latest optimized system IP. The robustness of the SDP is ideal for development, debug, performance optimization and workload analysis on a wide range of applications including those for machine learning (ML), artificial intelligence (AI) and data analytics.

“The new Neoverse platforms deliver the performance and efficiency required to enable the cloud-to-edge infrastructure for a world with a trillion connected devices. Our ongoing SDP collaboration with Cadence, TSMC, and Xilinx truly enables developers with the system development tools necessary to innovate and deliver optimized Neoverse-based designs,” stated Drew Henry, senior vice president and general manager, Infrastructure Line of Business, Arm.

Sunday, January 6, 2019

Huawei unveils 7nm, 64-core ARM-based CPU

Huawei introduced Kunpeng 920, a 7nm ARM-based server CPU independently designed by Huawei based on ARMv8 architecture license.

The Kunpeng 920 integrates 64 cores at a frequency of 2.6 GHz. This chipset integrates 8-channel DDR4, and memory bandwidth exceeds incumbent offerings by 46%. System integration is also increased significantly through the two 100G RoCE ports. Kunpeng 920 supports PCIe 4.0 and CCIX interfaces, and provides 640 Gbps total bandwidth. In addition, the single-slot speed is twice that of the incumbent offering, effectively improving the performance of storage and various accelerators.

Huawei says its design significantly improves processor performance by optimizing branch prediction algorithms, increasing the number of OP units, and improving the memory subsystem architecture.

Huawei also introduced its TaiShan series servers powered by Kunpeng 920, including three models: one with a focus on storage, another on high density, and a third focused on balancing both requirements. The TaiShan servers are built for big data, distributed storage, and ARM-native application scenarios. The ARM architecture is best suited for these scenarios with advantages in many-core and performance per watt.

"With Kirin 980, Huawei has taken smartphones to a new level of intelligence. With products and services (e.g., Huawei Cloud) designed based on Ascend 310, Huawei enables inclusive AI for industries," William Xu noted. "Today, with Kunpeng 920, we are entering an era of diversified computing embodied by multiple cores and heterogeneity. Huawei has invested patiently and intensively in computing innovation to continuously make breakthroughs. We will work with our customers and partners to build a fully connected, intelligent world."

Huawei said it will continue to work with Intel to develop servers.

Thursday, January 3, 2019

Arm intros image signal processors

Arm introduced two image signal processors (ISPs) designed for everyday devices including drones, smart home assistants and security, and internet protocol (IP) cameras.

The Mali-C52 and Mali-C32 devices, which leverage Arm’s Iridix technology and other industry-leading algorithms for noise and color management, apply over twenty-five processing steps to each pixel, of which three critical ones deliver key differentiation in terms of image output quality. These include high-dynamic range (HDR), noise reduction and color management. Arms said its Mali-C52 and Mali-C32 ISPs efficiently deliver all three at high resolution and in real-time (e.g. 4k resolution at 60fps).

The Mali-C52 can be configured for two different optimizations - image quality or area. This flexibility allows our silicon partners to use the same IP and software across a range of products and use cases. The Mali-C32 is optimized specifically for area in lower-power, cost-sensitive embedded vision devices such as entry-level access control or hobby drones.


Thursday, October 18, 2018

NEC adopts Arm's Platform Security, develops facial recognition accelerator

NEC announced a strategic collaboration with Arm to drive the development of secure Internet of Things (IoT) solutions for Smart Cities using artificial intelligence (AI).

Under the alliance, NEC will adopt the Arm Platform Security Architecture, which is an industry framework for building securely connected devices. This framework includes the concept of threat modeling, architectural guidelines and implementation resources that reduce the cost, complexity, and risk associated with IoT security.

NEC is also developing a box-type accelerator device featuring real-time facial recognition that will be securely managed and provisioned by Arm Pelion Device Management. The accelerator will be equipped with the Arm Cortex-A53 processor. It will accelerate the device's facial recognition process and enable faster analytics by offloading the analytics workload carried out on servers or the cloud, thereby helping to reduce costs for networks and systems.

NEC says its facial recognition technology is the world's most accurate and fastest as measured by the U.S. National Institute of Standards and Technology (NIST) benchmark tests.

"We expect the new accelerator to promote further adoption of face recognition throughout many areas, including the public safety, entertainment and transportation fields, as it contributes to the security and convenience of consumers worldwide," said Naoki Hashitani, SVP, NEC Corporation.

Tuesday, September 18, 2018

Ampere releases its ARM-based CPU for data center servers

Ampere, a start-up based in Santa Clara, California, released its first generation Armv8-A 64-bit processors for data centers.

Key specs:
  • 32 Ampere-designed Armv8-A cores running up to 3.3 GHz Turbo
  • Eight DDR4-2667 memory controllers
  • 42 lanes PCIe 3.0 for high bandwidth I/O
  • 125W TDP for maximum power efficiency
  • TSMC 16nm FinFET process

Pricing:

32 cores @ up to 3.3 Ghz Turbo $850
16 cores @ up to 3.3 Ghz Turbo $550.

Ampere said it has been selected by Lenovo as well as several ODMs.

“We have made tremendous progress since our launch eight months ago, continuing to execute on our first and second generation products. More importantly, we are ahead of schedule on building out a robust, multi-product roadmap that meets the performance and features demanded by the cloud computing ecosystem,” said Renee James, chairman and CEO of Ampere. “We are partnering with world-class OEMs like Lenovo and several ODMs to address the unique design requirements for our cloud customers and meet their total cost and performance targets.”

Ampere emerges from stealth with 64-bit ARM server designs

Ampere, a start-up based in Santa Clara, California, emerged from stealth and revealed its plans for 64-bit ARM-based server processors aimed at hyperscale cloud applications and next-generation data centers.

Ampere Computing is headed by Renee James, the former president of Intel until 2016. Its team also includes three other Intel veterans: Atiq Bajwa, Chief Architect, and foremerly VP and GM of product architecture at Intel; Rohit Avinash Vidwans, Executive Vice President of Engineering, with 25 years experience at Intel including work on Xeon microprocessors for data center and enterprise servers; and Greg Favor, Senior Fellow, and 25 years experience at Intel including over 60 patents. Ampere is backed by The Carlyle Group.

Ampere said its processors will offer a high performance, custom core Armv8-A 64-bit server operating at up to 3.3 GHz, 1TB of memory at a power envelope of 125 watts. It will also offer mixed signal I/O features including PCIE Gen 3, SATA Gen 3, USB and workload accelerators, as well as the high-performance on-chip fabric. The processors are sampling now and will be in production in the second half of the year.

In October, The Carlyle Group acquired the compute business of AppliedMicro from MACOM, which earlier in 2017 acquired Applied Micro Circuits Corporation (AppliedMicro") in a deal was valued at approximately $770 million on the day it was announced.

In March 2017, AppliedMicro announced the sampling of its third generation 16-nanometer FinFET Server-on-a-Chip (SoC) solution, X-Gene 3.  The device is an ARMv8-A compatible processor that matches comparable x86 processors in CPU throughput, per-thread performance, and power efficiency while offering advantages in memory bandwidth and total cost of ownership. It features 32 ARMv8-A 64-bit cores operating at speeds up to 3.0 GHz, eight DDR4-2667 memory channels with ECC and RAS supporting up to 16 DIMMs and addressing up to 1TB of memory and 42 PCIe Gen 3 lanes with eight controllers.

Tuesday, August 28, 2018

ARM and Facebook join Yocto Project for Linux in embedded devices

The Yocto Project, the open source collaboration project that launched in 2011 to help developers create custom Linux-based systems for embedded products, announced ARM and Facebook as new platinum members, joining its 20 other member companies.

The Yocto Project provides a flexible set of tools and a space where embedded developers worldwide can share technologies, software stacks, configurations, and best practices to create tailored Linux images for embedded and Internet of Things (IOT) devices. An upcoming release is expected this fall.


“The next release will demonstrate Yocto Project’s ability to efficiently build and importantly, test complete Linux software stacks which are reproducible, easily audited and totally customizable in a maintainable way,” said Richard Purdie, Project Architect of the Yocto Project.