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

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.

Tuesday, June 19, 2018

Mellanox supplies Infiniband for Sandia's ARM supercomputer

Mellanox Technologies will supply an InfiniBand solution to accelerate the world’s top Arm-based supercomputer to be deployed in Sandia National Laboratory in the second half of 2018.

The Astra supercomputer will include nearly 2600 nodes, and will leverage InfiniBand In-Network Computing acceleration engines. Astra is the first system in a series of the Vanguard program of advanced architecture platforms, supporting the US Department of Energy’s National Nuclear Security Administration (NNSA) missions.

“InfiniBand smart In-Network Computing acceleration engines will enable the highest performance and productivity for Astra, the first large scale Arm-based supercomputer,” said Gilad Shainer, vice president of marketing at Mellanox Technologies. “InfiniBand is the world-leading interconnect technology that supports the full range of compute and storage infrastructures, including X86, Power, Arm, GPUs, FPGAs and more. We are happy to support the Department of Energy’s efforts to explore new supercomputing platforms for their future needs.”

http://www.mellanox.com

Monday, February 5, 2018

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.

“We have an opportunity with cloud computing to take a fresh approach with products that are built to address the new software ecosystem,” said James. “The workloads moving to the cloud require more memory, and at the same time, customers have stringent requirements for power, size and costs. The software that runs the cloud enables Ampere to design with a different point of view. The Ampere team’s approach and architecture meets the expectation on performance and power and gives customers the freedom to accelerate the delivery of the most memory-intensive applications and workloads such as AI, big data, storage and database in their next-generation data centers.”

Saturday, October 28, 2017

MACOM divests AppliedMicro’s Compute Business

MACOM reached an agreement to sell the Compute business it acquired in its AppliedMicro acquisition earlier this year to Project Denver Holdings LLC , a new company backed by The Carlyle Group. Financial terms were not disclosed, but MACOM said it will hold a minority equity ownership interest in the new company.

“After a thorough review process, we are very excited about the sale of the Compute business and the opportunity it provides for both the employees of that business and our shareholders,” said John Croteau, MACOM’s President and Chief Executive Officer. “The Carlyle Group is one of the world’s largest and most successful global investment firms, with over $170 billion in assets under management. I believe NewCo’s exceptional leadership team and Carlyle’s backing combines the necessary elements to make the business a long-term success, and through a minority equity ownership MACOM is positioned to participate in the company’s long-term value creation.”









  • In January 2017, MACOM Technology Solutions Holdings acquired Applied Micro Circuits Corporation (AppliedMicro") for approximately $8.36 per share, consisting of $3.25 in cash and 0.1089 MACOM shares per share of AppliedMicro. The deal was valued at approximately $770 million on the day it was announced..

    MACOM said it made the acquisition to accelerate its growth in optical technologies for Cloud Service Providers and Enterprise Network customers.
  • MACOM and AppliedMicro's pro forma combined TTM revenue was approximately $709 million including AppliedMicro's Compute business, or approximately $644 million excluding the Compute business
AppliedMicro's Connectivity business is highly complementary to MACOM's product portfolio, through the addition of market-leading OTN framers, MACsec Ethernet networking components, and the industry's leading single-lambda PAM4 platform.


  • In March 2017, the company 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. The processor is expected to have a performance that is up to six times that of the currently shipping X-Gene family of products.

Wednesday, October 25, 2017

Intel ships Stratix 10 FPGA with ARM Cortex-A53

Intel has begun shipping a high-end FPGA family with an integrated quad-core ARM Cortex-A53. 

The ARM-based Intel Stratix 10 FPGA, which packs more than 1 million logic elements (MLE) with an integrated ARM processor, could serve multiple application categories, such as 5G wireless communication, software defined radios, secure computing for military applications, network function virtualization (NFV), and data center acceleration.

For NFV, Intel said its new FPGA can handle the high-speed data path while the integrated processors enable low latency transactions needed to manage flow tables for control plane processing. With hardware acceleration, Intel Stratix 10 SX FPGAs provide a heterogeneous computing environment to create optimized, low latency accelerators.

“With Stratix 10 SX, Intel reaffirms its ‘all in’ commitment to SoC FPGA devices combining integrated, flexible ARM cores with high-performance Intel Stratix® 10 FPGAs,” said Reynette Au, vice president of marketing, Intel Programmable Solutions Group. “We now provide a wide set of options for customer needing processors and FPGAs, with device offerings across the low-end, mid-range and now, high-end FPGA families, to enable their system designs.”

Sunday, October 22, 2017

Rambus validates DDR4 for Arm-based data centers

Rambus validated the interoperability of its DDR4 PHY and the Arm CoreLink DMC-620 Dynamic Memory Controller, which is a fast, single-port Coherent Hub Interface (CHI) for transferring data from its CoreLink CMN-600 (Coherent Mesh Network) to the Rambus DDR4 memory PHY. Together, these IP blocks offer speeds of up to 3200 Mbps, the highest performance memory speed available on the market. Both are DFI 4.0 compliant, allowing the PHY and memory controller to interoperate.

“Design teams face complex challenges in scaling the number of computing cores for advanced datacenter SoCs, while minimizing integration and testing time to ensure faster time-to-market,” said Jeff Defilippi, senior product manager, Infrastructure Business Unit, Arm. “Our collaboration with Rambus removes another degree of difficulty in designing purpose-built SoCs, resulting in higher-performing systems built for the most demanding cloud and enterprise workloads.”

https://www.rambus.com/