#Intel processor based supercomputers

[intelnaushad]

Aurora is a supercomputer built jointly by Intel and Cray and based with Intel Xeon processors.

Cray is a subsidiary company of Hewlett Packard Enterprise (HPE).

It is one of the most powerful and fastest supercomputer in the world today.

[gis56]

🧠💾 Brain-Inspired Chips? Neuromorphic Tech Is Growing FAST!

Neuromorphic semiconductor chips are revolutionizing AI hardware by mimicking the biological neural networks of the human brain, enabling ultra-efficient, low-power computing. Unlike traditional von Neumann architectures, these chips integrate spiking neural networks (SNNs) and event-driven processing, allowing real-time data analysis with minimal energy consumption. 

To Request Sample Report : https://www.globalinsightservices.com/request-sample/?id=GIS10673 &utm_source=SnehaPatil&utm_medium=Article

By leveraging advanced semiconductor materials, 3D chip stacking, and memristor-based architectures, neuromorphic chips significantly improve pattern recognition, autonomous decision-making, and edge AI capabilities. These advancements are critical for applications in robotics, IoT devices, autonomous vehicles, and real-time medical diagnostics, where low-latency, high-efficiency computing is essential. Companies like Intel (Loihi), IBM (TrueNorth), and BrainChip (Akida) are pioneering neuromorphic processors, paving the way for next-generation AI solutions that operate closer to biological cognition.

The integration of analog computing, in-memory processing, and non-volatile memory technologies enhances the scalability and performance of neuromorphic chips in complex environments. As the demand for edge AI, neuromorphic vision systems, and intelligent sensors grows, researchers are exploring synaptic plasticity, stochastic computing, and hybrid digital-analog designs to further optimize efficiency. These chips hold promise for neuromorphic supercomputing, human-machine interfaces, and brain-computer interfaces (BCIs), driving innovations in AI-driven healthcare, cybersecurity, and industrial automation. With the convergence of AI, semiconductor technology, and neuroscience, neuromorphic semiconductor chips will be the cornerstone of next-gen intelligent computing architectures, unlocking unprecedented levels of cognitive processing and energy-efficient AI.

#neuromorphiccomputing #aihardware #braininspiredcomputing #semiconductortechnology #spikingneuralnetworks #neuromorphicsystems #memristors #analogcomputing #intelligentprocessors #machinelearninghardware #edgedevices #autonomoussystems #eventdrivenprocessing #neuralnetworks #biomimeticai #robotics #aiattheneuromorphicedge #neuromorphicvision #chipdesign #siliconneurons #futurecomputing #hpc #smartai #inmemorycomputing #lowpowerai #bci #nextgenai #deeptech #cybersecurityai #intelligentsensors #syntheticintelligence #artificialcognition #computervision #braincomputerinterfaces #aiinnovation

[govindhtech]

NVIDIA MGX And Intel Xeon Powered DC-MHS Servers At SC24

MSI, a leading global provider of high-performance server solutions, displayed its AI server based on the NVIDIA MGX architecture and DC-MHS server portfolio powered by Intel Xeon 6 processors at booth 3655 at Supercomputing 2024 (SC24) from November 19–21 MSI’s most recent products are made with the goal of optimising compute density, energy efficiency, and modular flexibility in order to meet the demanding requirements of AI, HPC, and data-intensive applications. MSI provides the scalable performance and resilience required for data centres to keep up with changing HPC demands with its Intel Xeon 6 DC-MHS servers, which are designed on a flexible DC-MHS architecture.

NVIDIA MGX Server for Next-Gen AI

With its two Intel Xeon 6 CPUs and eight FHFL dual width GPU slots, MSI’s CG480-S5063 AI server, which is based on the MGX architecture, is specifically designed to meet the high needs of AI. It supports the potent NVIDIA H200 NVL GPUs, which enable enormous parallel processing for workloads related to AI, LLM, and data analytics. High throughput for data-intensive applications is provided by its 20 PCIe 5.0 E1.S NVMe bays and 32 DDR5 DIMM slots, while PCIe 5.0 x16 slots allow for flexible and fast network integration. For AI systems that prioritize optimal computational efficiency and scalability, this 4U server provides the performance and scalability required.

Intel Xeon 6 DC-MHS Servers Solutions for HPC Data Centers

High-performance data center and HPC environments benefit from unparalleled scalability and flexibility with MSI’s Intel Xeon 6 processor-based DC-MHS servers and server motherboards. Microsoft’s solutions provide optimal resource allocation across a variety of applications with Intel Xeon 6 processors, which have P-cores for optimal performance and E-cores for energy-efficient operations under heavy workloads.

Data centers can effectively scale and swiftly adjust to the ever-increasing demands of AI, analytics, and intensive computing workloads with these DC-MHS solutions, which were designed with efficient thermal management and modularity in mind. They use Extended Volume Air Cooling (EVAC) CPU heatsinks to maintain stable operation even under intense use. These solutions, which combine the potent Intel Xeon 6 processors with the flexible DC-MHS architecture, give data centers the tools they need to remain competitive in the quickly changing HPC market of today.

DC-MHS Servers

Intel Xeon 6 processors, DDR5 DIMM slots, and broad PCIe 5.0 compatibility enable MSI DC-MHS servers to provide unparalleled computational density and modular scalability. These platforms, which are based on the OCP DC-MHS architecture, offer data centers the adaptability, strength, and efficiency they need to succeed in demanding HPC and AI environments. They include DC-SCM2 server management modules with A speed AST2600 BMC support and improved front I/O design.

For demanding computation and memory-bound workloads in HPC environments, the CD270-S3061-X2 is a 2U, two-node server. The system offers significant processing power and memory bandwidth necessary for parallel tasks,with its single Intel Xeon 6 CPU with up to 350W TDP and 16 DDR5 DIMM slots per node. High-speed data access is made possible by its six PCIe 5.0 x4 U.2 NVMe bays per node, which makes it perfect for high-performance and scalable data center architecture.

The CX270-S5062 is a 2U server with 32 DDR5 DIMM slots and dual-socket Intel Xeon 6 processors with a maximum TDP of 350W each that is designed for maximum computation throughput. This device facilitates quick data processing and AI-driven calculations by supporting up to 24 PCIe 5.0 x4 U.2 NVMe bays and dual GPU options to offer both large storage and GPU acceleration capabilities.

A single Intel Xeon 6 processor with a maximum TDP of 350W powers the CX271-S3066, a 2U server that offers balanced performance and scalability. This server, which supports up to 24 PCIe 5.0 x4 U.2 NVMe bays and 16 DDR5 DIMM slots, is designed for data-centric applications that need quick access to data and effective processing, guaranteeing that data centers can quickly meet the demands of AI and HPC.

DC-MHS Server Motherboards

The latest Intel Xeon 6 processors with P-cores and E-cores power the full-width M-FLW and density-optimized M-DNO (Type-4, Type-2) motherboards in the MSI DC-MHS series, which offers optimal performance and energy efficiency for a range of compute-intensive applications. These motherboards offer the processing power and scalability required for sophisticated AI, data analytics, and HPC applications with their DDR5 memory slots, fast PCIe 5.0 connectivity, and flexible I/O options.

A single Intel Xeon 6 CPU, up to 500W TDP, and 12 DDR5 DIMM slots are supported by the D3071 M-DNO Type-2 HPM.

32 DDR5 DIMM slots, up to 350W TDP, and dual Intel Xeon 6 CPUs are supported by the D5062 M-FLW HPM.

The D3066 M-DNO Type-4 HPM has 16 DDR5 DIMM slots, a single Intel Xeon 6 processor, and a maximum TDP of 350W.

The D3061 M-DNO Type-2 HPM has 12 DDR5 DIMM slots, a single Intel Xeon 6 processor, and a maximum TDP of 350W.

The OCP DC-SCM v2.0-compliant MGT1 DC-SCM2 Module facilitates cross-platform use, lowers deployment and maintenance expenses, and streamlines testing and validation.

Read more on govindhtech.com

[noisetrader]

Nvidia Strategy

Nvidia Strategy

Nvidia Strategy and Nvidia Corporation is an American multinational technology company incorporated in Delaware and based in Santa Clara, California.

It is a software and fabless company that designs graphics processing units, application programming interfaces for data science and high-performance computing as well as system on chip units for the mobile computing and automotive market.

Stock Strategy

Nvidia is a dominant supplier of artificial intelligence hardware and software.

Its professional line of GPUs are used in workstations for applications in such fields as architecture, engineering and construction, media and entertainment, automotive, scientific research, and manufacturing design.

In addition to GPU manufacturing, Nvidia provides an API called CUDA that allows the creation of massively parallel programs that utilize GPUs. They are deployed in supercomputing sites around the world.

More recently, it has moved into the mobile computing market, where it produces tegra mobile processors for smartphones and tablets as well as vehicle navigation and entertainment systems.

In addition to AMD, its competitors include Intel, Qualcomm and AI-accelerator companies such as Graph core.

CEO
Jensen Huang
FOUNDED
Apr 1993
HEADQUARTERS
Santa Clara, California
United States
EMPLOYEES
26,196

Stock Strategy

Nvidia's family includes graphics, wireless communication, PC processors, and automotive hardware/software.

Some families

GeForce, consumer-oriented graphics processing products
Nvidia RTX, professional visual computing graphics processing products (replacing GTX)
NVS, multi-display business graphics solution.

Facebook Trading Strategy

Meta Platforms, Inc., formerly named Facebook, Inc., and The Facebook, Inc., is an American multinational technology conglomerate based in Menlo Park, California. The company owns Facebook, Instagram, and WhatsApp, among other products and services.

Meta is one of the world's most valuable companies and among the ten largest publicly traded corporations in the United States. It is considered one of the Big Five American information technology companies, alongside Alphabet, Amazon, Apple, and Microsoft. Meta's products and services include Facebook, Instagram, WhatsApp, Messenger, and Quest 2.

It has acquired Reality Labs, Mapillary, CTRL-Labs, Kustomer, and has a 9.99% stake in Jio Platforms. In 2021, the company generated 97.5% of its revenue from the sale of advertising. On October 28, 2021, the parent company of Facebook changed its name from Facebook, Inc., to Meta Platforms, Inc., to "reflect its focus on building the metaverse".

According to Meta, the "metaverse" refers to the integrated environment that links all of the company's products and services.

CEO
Mark Zuckerberg
FOUNDED
Feb 2004
EMPLOYEES
77,114

Stock Strategy

OfficesUsers outside of the US and Canada contract with Meta's Irish subsidiary, Meta Platforms Ireland Limited (formerly Facebook Ireland Limited), allowing Meta to avoid US taxes for all users in Europe, Asia, Australia, Africa and South America. Meta is making use of the Double Irish arrangement which allows it to pay 2–3% corporation tax on all international revenue

[chandupalle]

FPGA Companies - Advanced Micro Devices (Xilinx, Inc.) (US) and Intel Corporation (US) are the Key Players

 The FPGA market is projected to grow from USD 12.1 billion in 2024 and is projected to reach USD 25.8 billion by 2029; it is expected to grow at a CAGR of 16.4% from 2024 to 2029.

The growth of the FPGA market is driven by the rising trend towards Artificial Intelligence (AI) and Internet of Things (IoT) technologies in various applications and the integration of FPGAs into advanced driver assistance systems (ADAS). 

Major FPGA companies include:

·         Advanced Micro Devices (Xilinx, Inc.) (US),

·         Intel Corporation (US),

·         Microchip Technology Inc. (US),

·         Lattice Semiconductor Corporation (US), and

·         Achronix Semiconductor Corporation (US).

Major strategies adopted by the players in the FPGA market ecosystem to boost their product portfolios, accelerate their market share, and increase their presence in the market include acquisitions, collaborations, partnerships, and new product launches.

For instance, in October 2023, Achronix Semiconductor Corporation announced a partnership with Myrtle.ai, introducing an accelerated automatic speech recognition (ASR) solution powered by the Speedster7t FPGA. This innovation enables the conversion of spoken language into text in over 1,000 real-time streams, delivering exceptional accuracy and response times, all while outperforming competitors by up to 20 times.

In May 2023, Intel Corporation introduced the Agilex 7 featuring the R-Tile chiplet. Compared to rival FPGA solutions, Agilex 7 FPGAs equipped with the R-Tile chiplet showcase cutting-edge technical capabilities, providing twice the speed in PCIe 5.0 bandwidth and four times higher CXL bandwidth per port.

ADVANCED MICRO DEVICES, INC. (FORMERLY XILINX, INC.):

AMD offers products under four reportable segments: Data Center, Client, Gaming, and Embedded Segments. The Data Center segment offers CPUs, GPUs, FPGAs, DPUs, and adaptive SoC products for data centers. The portfolio of the Client segment consists of APUs, CPUs, and chipsets for desktop and notebook computers. The Gaming segment provides discrete GPUs, semi-custom SoC products, and development services. The Embedded segment offers embedded CPUs, GPUs, APUs, FPGAs, and Adaptive SoC devices. AMD offers its products to a wide range of industries, including aerospace & defense, architecture, engineering & construction, automotive, broadcast & professional audio/visual, government, consumer electronics, design & manufacturing, education, emulation & prototyping, healthcare & sciences, industrial & vision, media & entertainment, robotics, software & sciences, supercomputing & research, telecom & networking, test & measurement, and wired & wireless communications. AMD focuses on high-performance and adaptive computing technology, FPGAs, SoCs, and software.

Intel Corporation:Intel Corporation, based in the US, stands as one of the prominent manufacturers of semiconductor chips and various computing devices. The company's extensive product portfolio encompasses microprocessors, motherboard chipsets, network interface controllers, embedded processors, graphics chips, flash memory, and other devices related to computing and communications. Intel Corporation boasts substantial strengths in investment, marked by a long-standing commitment to research and development, a vast manufacturing infrastructure, and a robust focus on cutting-edge semiconductor technologies. For instance, in October 2023, Intel announced an expansion in Arizona that marked a significant milestone, underlining its dedication to meeting semiconductor demand, job creation, and advancing US technological leadership. Their dedication to expanding facilities and creating high-tech job opportunities is a testament to their strategic investments in innovation and growth.

[blockgeni]

Nvidia Corp. Chief Executive Officer Jensen Huang just completed a five-day trip to India during which he visited four cities, dined with tech leaders and researchers, snapped a lot of selfies, and had a private discussion on the AI industry with Prime Minister Narendra Modi. Huang admitted to surviving entire workdays on spicy masala omelettes and cold coffees due to his overbooked agenda in India. Although Huang was received like a head of state, the trip was entirely for business purposes. The 1.4 billion-person South Asian nation represents an exceptional prospect for Nvidia, whose graphics chips are essential to the development of artificial intelligence systems. India might develop into a source of AI expertise, a location for chip manufacture, and a market for Nvidia's products as the US tightens its restrictions on the export of high-end processors to China and the globe looks for an alternative electronics manufacturing base. Huang discussed retraining large segments of the workforce and developing future AI models using Indian data and talent during a meeting with top researchers in Delhi, according to several attendees. Huang also expressed his strong belief in the engineering talent of India, notably in graduates from its top engineering universities, Indian Institutes of Technology, to an executive in Bangalore, the country's tech powerhouse. Huang stated at a press conference in Bangalore that you have the information and the talent. This will be one of the world's largest AI markets, continued Huang. Nvidia and India both have a stake in accelerating the nation's ascent in the field of artificial intelligence. High-end microprocessors cannot be sold to China, which represents a fifth of Nvidia's sales, because to concerns that the chips could be used to create autonomous weapons or engage in cyberwarfare. According to Neil Shah, vice president of research at Counterpoint Technology Market Research, India is the only market that is still open, so it is understandable that Nvidia would want to stake a number of bets there. Although Indian engineers play a significant role in the digital workforce, the nation is still a long way from acquiring the cutting-edge capabilities required to produce the sophisticated chips made by Nvidia. However, India hopes to expand its electronic manufacturing industry and use AI to strengthen its digital economy. In order to entice companies like Nvidia, Advanced Micro Devices Inc., and Intel Corp., the nation is pouring billions of dollars in subsidies into building chip manufacturing facilities. Nandan Nilekani, chairman of Infosys Ltd. and the primary designer of the fundamental components of the vast digital public infrastructure of the nation, stated that India is strategically important to the future of Nvidia. Large business companies and the government are both putting a lot of effort into developing AI infrastructure. That is fantastic news for Huang, according to Nilekani, who had dinner with the chip billionaire while he was in town. The billionaire Taiwanese-American visited the prime minister's house in Delhi. Modi revealed that they discussed "the rich potential India presents in the world of AI. Throughout the journey, Huang and Nvidia observed indications of this potential. Huang's multi-city tour included an announcement from Reliance, the largest conglomerate in India and the company that Mukesh Ambani, a billionaire, owns. Jio Platforms will develop the nation's AI computing infrastructure. Nvidia said in a release that the AI cloud will utilize its full complement of supercomputing technology. In addition to developing and running cutting-edge AI supercomputing data centers, Reliance and another sizable conglomerate, Tata, will also provide AI infrastructure as a service to be used by researchers, businesses, and startups, according to Nvidia, without providing further information or releasing a timetable. To the extent that this month, Apple will sell India-made

iPhone 15 smartphones on launch day, India has had some success in persuading industry heavyweights Apple Inc. and Amazon.com Inc. to move contract electronics manufacturing from China. It is now focusing on semiconductors, having some chip design experience but no prior experience with semiconductor foundries. The majority of state-of-the-art chips, including those created by Nvidia, are produced in Taiwan. To reach its current levels of manufacturing competence, the nation spent billions over many years. India wants to catch up, but it is having trouble developing into an AI hub. According to Sashikumaar Ganesan, head of the computational and data sciences division at the Indian Institute of Science, neither the nation's exascale computing capacity, which can perform one billion billion calculations per second, nor its pool of skilled AI programmers are currently available in the country. Ganesan, one of those invited to Huang's meeting with AI experts, stated that in addition to building AI infrastructure, we also need to establish a workforce skilled in high-performance computing. However, K. Krishna Moorthy, CEO of industry association India Electronics and Semiconductor Association, noted that the market for high-end technologies in India is rapidly maturing. Nvidia's graphics processing units, or GPUs, are in extremely high demand as a result. According to Moorthy, the government needs data security, data privacy, and data localization as India's digital economy expands. To construct an AI cloud infrastructure, this could require over 100,000 GPUs. The nation is home to telecom behemoths like Reliance's Jio, which daily collects billions of data points from its 500 million mobile phone users and hundreds of millions of retailers. According to Moorthy, the 1.4 billion Indians who generate data could position the nation for the upcoming stage of digital growth. Huang is aware that this will mark the beginning of the next round of development for chips that support AI. With four engineering centers in India, including ones in Bangalore and the Delhi suburb of Gurgaon, Nvidia already has its second-largest talent pool behind the US, with 4,000 engineers. Huang addressed town hall meetings while he was there and emphasized the significance of maintaining competitiveness in a market for AI that is quickly evolving. His take on the proverb "hunt or be hunted" was repeated while he was speaking to the staff: "Either you are running for food or running away from being food." Source link

[stockstr]

Lloyds Stock Trading Strategy

Lloyds Stock Trading Strategy

Stock Trading Strategy for Lloyds Banking Group is a British financial institution formed through the acquisition of HBOS by Lloyds TSB in 2009. It is one of the UK’s largest financial services organization. with 30 million customers and 65,000 employees.

Lloyds Bank was founded in 1765 but the wider Group’s heritage extends over 320 years, dating back to the founding of the Bank of Scotland by the Parliament of Scotland in 1695. The Group’s headquarters are located at 25 Gresham Street in the City of London, while its registered office is on The Mound in Edinburgh.

It also operates office sites in Birmingham, Bristol, West Yorkshire and Glasgow. The Group also has extensive overseas operations in the US, Europe, the Middle East and Asia. Its headquarters for business in the European Union is in Berlin, Germany. The business operates under a number of distinct brands, including Lloyds Bank, Halifax, Bank of Scotland and Scottish Widows. Former Chief Executive António Horta-Osório told The Banker, “We will keep the different brands because the customers are very different in terms of attitude”. Lloyds Banking Group is listed on the London Stock Exchange and is a constituent of the FTSE 100 Index.

Best Stock Strategy

FOUNDED

Jan 19, 2009

HEADQUARTERS

London, Greater London

United Kingdom

WEBSITE

lloydsbank.nl

EMPLOYEES

59,354

Bank of America stock strategies

stock strategies for The Bank of America Corporation

Bank of America is an American multinational investment bank and financial services holding company headquartered at the Bank of America Corporate Center in Charlotte, North Carolina, with investment banking and auxiliary headquarters in Manhattan. The bank was founded in San Francisco, California. It is the second-largest banking institution in the United States, after JPMorgan Chase, and the second-largest bank in the world by market capitalization. Bank of America is one of the Big Four banking institutions of the United States. It serves approximately 10.73% of all American bank deposits, in direct competition with JPMorgan Chase, Citigroup, and Wells Fargo. Its primary financial services revolve around commercial banking, wealth management, and investment banking. One branch of its history stretches back to the U.S.-based Bank of Italy, founded by Amadeo Pietro Giannini in 1904, which provided various banking options to Italian immigrants who faced service discrimination. Originally headquartered in San Francisco, California, Giannini acquired Banca d’America e d’Italia in 1922.

stock strategies

CEO

Brian Moynihan

FOUNDED

Sep 30, 1998

WEBSITE

bankofamerica.com

EMPLOYEES

217,000

Nvidia stock strategy

Stock trading Strategy

stock strategy and Nvidia Corporation is an American multinational technology company incorporated in Delaware and based in Santa Clara, California.

It is a software and fabless company which designs graphics processing units, application programming interface for data science and high-performance computing as well as system on a chip units for the mobile computing and automotive market.

Nvidia is a dominant supplier of artificial intelligence hardware and software.

Its professional line of GPUs are used in workstations for applications in such fields as architecture, engineering and construction, media and entertainment, automotive, scientific research, and manufacturing design.

In addition to GPU manufacturing, Nvidia provides an API called CUDA that allows the creation of massively parallel programs which utilize GPUs. They are deployed in supercomputing sites around the world.

More recently, it has moved into the mobile computing market, where it produces tegra mobile processors for smartphones and tablets as well as vehicle navigation and entertainment systems.

In addition to AMD, its competitors include Intel, Qualcomm and AI-accelerator companies such as Graph core.

CEO

Jensen Huang

FOUNDED

Apr 1993

HEADQUARTERS

Santa Clara, California

United States

WEBSITE

nvidia.com

EMPLOYEES

26,196

Stock Strategy

Nvidia’s family includes graphics, wireless communication, PC processors, and automotive hardware/software.

Some families

GeForce, consumer-oriented graphics processing products

Nvidia RTX, professional visual computing graphics processing products (replacing GTX)

NVS, multi-display business graphics solution.

[emaanderson]

High-Performance Computing (HPC) Market Analysis By Growth, Emerging Trends and Opportunities Till 2029

Research Nester released a report titled “High-Performance Computing (HPC) Market: Global Demand Analysis & Opportunity Outlook 2029” which delivers detailed overview of the high-performance computing market in terms of market segmentation by component, application, deployment, end user and by region.

Further, for the in-depth analysis, the report encompasses the industry growth drivers, restraints, supply and demand risk, market attractiveness, BPS analysis and Porter’s five force model.

Download Sample of This Strategic Report @https://www.researchnester.com/sample-request-696

Combining the computing power of multiple workstations through a nodal network to achieve significant performance and processing capabilities is often referred to as high-performance computing. Owing to its various applications in the fields of science, engineering and business through developing modelling simulations and technology advancements in semiconductor technology, the global high-performance computing market is anticipated to record a significant CAGR over the forecast period, i.e., 2021-2029.

Based on components, the market is bifurcated into hardware and software, out of which, the highest stance is estimated to be held by the hardware components segment. This can be attributed to the need for components such as processors, servers, storage devices and others in large quantities to construct a high-performance computing network or a supercomputer. The market is further segmented by deployment of solutions or services into on-site and cloud channels. Among these segments, the cloud segment was the largest revenue generating segment in 2019 owing to the advantages of unlimited storage and scalability of resources at an optimum cost. Additionally, the evolution of 5G technology and increase internet speeds also contributed to the growth of the segment.

Geographically, the global high-performance computing market is segmented into five major regions including North America, Europe, Asia Pacific, Latin America and Middle East & Africa region. Among these regions, the market in North America region is predicted to hold the leading share on account of the presence of leading market players in the region which manufacture and market HPC solutions and services. The demand for private cloud IaaS platforms in the region are expected to positively influence the HPC market. Additionally, growing acceptance of cloud computing and IoT devices with increasing internet connectivity in Asia Pacific region is expected to drive the market growth.

Emerging Trends Such as Big Data, AI and Breakthroughs in Semiconductor Technology to Boost the Market Growth

The demand for high-performance computing is high owing to the rise of emerging technologies, such as, big data and AI, and the need for real-time data analysis and processing capabilities to help SMEs and large enterprises for effective BPM and operations. Additionally, the need for high computational power for different activities, such as, developing cures for cancer and COVID’19 pandemic, to fight climate change, reduce economic inequality and poverty and others, are some of the factors that are anticipated to significantly drive the market growth.

However, factors such as, the clustered nature of HPC systems, which makes it vulnerable to cyber-attacks and data thefts, along with lack of product awareness in SMEs and huge capital requirement to setup HPC systems, are some of the factors estimated to hamper the market growth.

This report also provides the existing competitive scenario of some of the key players of the global high-performance computing market which includes company profiling of Advanced Micro Devices, Inc. (NASDAQ: AMD), NEC Corporation (TYO: 6701), Intel Corporation (NASDAQ: INTC), IBM (NYSE: IBM), Hewlett Packard Enterprise Development LP (NYSE: HPE), NVIDIA Corporation (NASDAQ: NVDA), Microsoft (NASDAQ: MSFT) and Dawning Information Industry Co., Ltd. (SHA: 603019). The profiling enfolds key information of the companies which encompasses business overview, products and services, key financials and recent news and developments.

On the whole, the report depicts detailed overview of the global high-performance computing market that will help industry consultants, equipment manufacturers, existing players searching for expansion opportunities, new players searching possibilities and other stakeholders to align their market centric strategies according to the ongoing and expected trends in the future.

Request Report Sample@https://www.researchnester.com/sample-request-696

[swarupkumarnath07]

Basic Understanding of PowerPC Processor

PowerPC Processor

Hello and welcome to my blog! Today I’m going to talk about one of my favorite topics: the PowerPC processor. If you are a fan of retro computing or just curious about how computers work, you might find this interesting.

The PowerPC processor is a type of microprocessor that was developed by IBM, Apple and Motorola in the early 1990s. It was based on the RISC (reduced instruction set computing) architecture, which means that it used simpler and faster instructions than the more common CISC (complex instruction set computing) processors. The PowerPC processor was designed to be compatible with multiple operating systems, such as Mac OS, Windows NT and Linux.

One of the main features of the PowerPC processor is that it uses a big-endian byte order, which means that the most significant byte of a multi-byte value is stored at the lowest memory address. This is different from the little-endian byte order used by most other processors, such as Intel’s x86. For example, the hexadecimal number 0x12345678 would be stored as 12 34 56 78 in big-endian and 78 56 34 12 in little-endian.

Another feature of the PowerPC processor is that it has a large number of registers, which are small and fast memory locations that can store data and instructions. The PowerPC processor has 32 general-purpose registers (GPRs) that can hold any type of data, and 32 floating-point registers (FPRs) that can hold decimal numbers. It also has a condition register (CR) that can store the results of comparisons and logical operations, and a link register (LR) that can store the address of the next instruction to execute after a subroutine call.

The PowerPC processor was widely used in many devices and systems, such as Apple’s Macintosh computers, IBM’s servers and supercomputers, Nintendo’s GameCube and Wii consoles, and Sony’s PlayStation 3 console. However, it was gradually replaced by other processors, such as Intel’s x86 and ARM’s Cortex. The last Macintosh computer to use a PowerPC processor was the Power Mac G5 in 2006.

If you are interested to understand more about the PowerPC processor, then you can go through the PiEmbSysTech PowerPC processor Tutorial Blog. If you have any questions or query, that you need to get answer or you have any idea to share it with the community, you can use Piest Forum.

The PowerPC processor is still alive and kicking in some niche markets, such as embedded systems and aerospace applications. It is also a popular choice for hobbyists and enthusiasts who want to learn more about computer architecture and assembly language programming. If you are one of them, I hope you enjoyed this brief introduction to the PowerPC processor. Stay tuned for more posts on this fascinating topic!

[tigonadvisory]

The 3Rs For CEOs Preparing For AI, Data – And A Recession

Many of the CEOs I talk to are hungry to grow at scale. This calls for increased revenue without substantial costs from pricey acquisitions or infrastructure investment. These same leaders, however, face unprecedented challenges: the race to integrate artificial intelligence (AI), data security and protection, and a looming recession (predicted to be anywhere from mild to catastrophic, depending upon your news source).

The trio is either a perfect storm or, from my perspective, a tremendous opportunity to amp up your performance. Seen through the lens of the following 3Rs – risk, ROI and relevancy – perhaps the best place to start is by looking at what you already have.

Risk

Risk takes on several faces for CEOs in a post-pandemic world defined by a worker shortage, supply chain disruption and economic uncertainty.

As AI spending continues to increase, the risk factor goes up. There’s little question that AI is a business imperative – yet no more than 20% of AI models get deployed. Where’s the disconnect? According to an article from MIT Sloan School of Management, most data scientists deliver results using smaller and more controlled data sets. AI tends to fall apart, however, when put to task for the larger organization (aka the real world).

Then there’s the avalanche of data that CEOs and their teams are trying to figure out how to optimize – and protect. With edge-to-cloud infrastructure, companies continue to generate, store and analyze data at scale. Here, the risk landscape is easy to see as cyber threats gain momentum.

AI and data have something in common: they demand more processing power.

A year ago, I co-hosted Intel Innovation, where Intel predicted breaking the exascale barrier to reach zettascale (a 1000x increase) by 2027-ish. This will be the next supercomputing standard. Yet, all that data is going to require more data security and protection.

I am really excited about the advanced security technologies to help protect data using 4th Gen Intel® Xeon® Scalable processors. They are akin to equipping your house with inconspicuous security cameras and alarm systems, as opposed to installing iron gates without any other security measure.

The 4th Gen Intel® Xeon® Scalable processor family includes a zero-trust security strategy while allowing for collaboration and sharing of insights, even with sensitive or regulated data. In my blog, “Zero Trust Security, Authorship and Our Creative Future,” I talk about how zero trust security assumes your operation has been breached. There’s a reason why this is important. In an article written by Accenture’s security expert, Gabe Albert, “corporate network boundaries are disappearing”, which inspires a contextual-based approach to security. Security needs to be everywhere at every moment.

Intel addresses zero trust security by using Intel Software Guard Extensions (Intel SGX), the most researched, updated and deployed confidential computing technology in data centers on the market today, with the smallest trust boundary of any confidential computing technology in the data center world.

ROI

With the need for increased processing power, the question is: do you throw more CPUs at the problem, or do you get your house in order and make the CPUs you have perform more efficiently?

This is one reason the 4th Gen Intel® Xeon® Scalable processors (i.e. 4th Gen Intel® Xeon® Scalable processors, Intel® Xeon® CPU Max Series, and Intel Data Center GPU Max Series for high performance computing (HPC) help lower cost as key workloads such as AI, analytics, networking, storage and high performance computing rise. Intel’s strategy is to align CPU cores with built-in accelerators optimized for specific workloads, delivering superior performance for optimal total cost of ownership. This is a more efficient alternative to the growing CPU core count. Better CPU utilization saves money, a welcome solution to the fact that cores have doubled since SKX, while yet AI performance has increased more than>10x with AMX. A flood of big data is streaming into companies – data that once could only be handled by a supercomputer. According to Statista, data creation will grow to more than 180 zettabytes by 2025. Intel’s pledge to “do more with what you have” equips companies with greater computational power.

ROI is not confined to the digital world; it extends to the physical world as well. The sustainability of our earth and natural resources is at stake with an aggressive plea from the United Nations and its challenge that the world meets 17 sustainable development goals by 2030. The 4th Gen Intel® Xeon® Scalable processors pack more transistors in less space, harkening back to Moore’s Law (Intel cofounder Gordon Moore) which, in 1965, predicted that the number of transistors would double at a rapid cadence. More efficiency per watt means more efficient CPU utilization and lower electricity consumption.

Also, built-in accelerators for encryption help free up CPU cores while improving performance, which is a sustainability gain. In fact, 4th Gen Intel® Xeon® Scalable processors are Intel’s most sustainable data center processors to date, providing solutions to manage power and performance.

Relevancy

Intel has, from the start, been an integrated device manufacturer (IDM), meaning they have long been at the forefront of designing and manufacturing chips. According to Fast Company, Intel is investing $20 billion in two new semiconductor fabrication centers (called fabs) in Chandler, AZ and an additional $20 billion in a new fab in Albany, OH. These are the largest private-sector investments in both states.

Intel is positioned to lead the data center space as it accelerates performance across the fastest-growing workloads with the 4th Gen Intel® Xeon® processor families, it continues to make hefty investments in fabs, its history of pioneering prowess, and, lastly, its CEO Patrick Gelsinger, who is the architect of the original 80486 processor, led 14 microprocessor programs and played key roles in the Intel Core™ and Intel® Xeon® processor families.

Risk, ROI and relevancy are the 3Rs for CEOs to ponder. A faster, more agile world beckons. And, like the laptops we carry around or the mobile phones we pocket, when it comes to Intel® Xeon® processors, you might even one day ask how we ever lived without them.

From time to time, Intel invites industry thought leaders to share their opinions and insights on current technology trends. The opinions in this post are my own and do not necessarily reflect the views of Intel. #Intelpartner

Original Source: https://tigonadvisory.com/the-3rs-for-ceos-preparing-for-ai-data-and-a-recession/

[govindhtech]

AMD EPYC 4584PX, 4484PX With 3D V-Cache & AM5 Support

AMD EPYC 4584PX and 4484PX processors, using 3D V-Cache Stacking to Double L3 Cache to 128 MB

AMD EPYC 4004 Series Processors

Data centers, supercomputers, hyperscalers, and large companies require performance and scalability. However, the AMD EPYC 4004 Series Processors target small businesses and dedicated hosting providers seeking economical entry-level server workload solutions.

These processors provide the speed, scalability, and reliability users expect from AMD EPYC while having low core counts, Thermal Design Power (TDP) as low as 65 watts, and affordable prices. This blog discusses workloads in this market segment and AMD EPYC 4004 processors’ performance benefits.

With boost rates up to 5.7 GHz, configurations ranging from 4 to 16 “Zen 4” cores over up to 2 Core Complex Dies (CCDs), and from 8 to 32 threads with Simultaneous Multi-Threading (SMT) enabled, AMD EPYC 4004 Series Processors are a reliable option. Every AMD EPYC 4004 processor includes Gen 3 Infinity Fabric architecture, which supports up to 32 Gbps of die-to-die bandwidth, up to 192GB of DDR5-5200 RAM with ECC enabled, and up to 28 PCIe Gen 5 lanes from the processor, with additional lanes available based on system vendor design specifications.

AMD EPYC 4584PX

Technical Details

Each CCD offers up to 32 MB of shared L3 cache, for a total of up to 64 MB per processor. Packages including all of these are offered at low Thermal Design Power (TDP) levels of 65 to 170 watts.

The tried-and-true AM5 socket is used by all AMD EPYC 4004 variants, providing flexible deployment choices for a range of computing requirements. AMD 3D V-Cache die stacking technology is used by the 12-core AMD EPYC 4484PX and the 16-core AMD EPYC 4584PX, doubling the maximum L3 cache to 128 MB per unit.

Only to the degree that a feature improves efficiency and performance is it beneficial. Small companies and hosting providers need strong systems that can handle demanding workloads while keeping acquisition and running costs under control. In addition to the simplified memory and I/O capabilities that discussed earlier, servers with high-performance AMD EPYC 4004 CPUs provide attractive cost-to-performance ratios across critical customer applications.

By comparing the performance and possible cost savings of 16-core 4th Gen AMD EPYC 4004 processors to those of the competition, let’s take a deeper look at the outstanding performance and value these processors provide to the market.

Utilization Examples

Broadly speaking, the AMD EPYC 4004 CPU is versatile, performant, and economical for a variety of computing workloads, from compute-intensive jobs to common business applications. Among the instances are:

General computing: Workloads including web serving, DNS administration, file sharing, printing, email hosting, messaging, CRM, and enterprise resource planning (ERP) are well handled by AMD EPYC 4004 CPUs.

Web serving and e-commerce: Applications requiring scalability and dependability, such as web serving, are especially well-suited for AMD EPYC 4004 CPUs.

Applications requiring a lot of computation: AMD EPYC 4004 processors with 16 cores and 32 SMT threads speed up compilation and can handle demanding applications.

Gaming: Even the most demanding games run very well because to the powerful “Zen4” CPUs.

Processor Price

Performance and price must be balanced by small and medium-sized enterprises, especially when choosing processors for server construction. In this context, processor costs are an important factor to take into account. Here, it will use the following to demonstrate how much more affordable AMD EPYC 4004 CPUs are than those of their rivals.

AMD EPYC 4584PX 16-core: $699, or around $43.69 per core

Intel Xeon E-2388G 8-core processor: $606 (about $75.75) per core

Intel Xeon E-2488 8-core processor: $606 (about $75.75) per core

Put otherwise, the cost of an AMD EPYC 4584PX CPU core is just around 58% that of an Intel Xeon core. These costs highlight the comparative pricing and leading performance capabilities of AMD EPYC 4004 processors, which makes them an appealing choice for small and medium-sized enterprises trying to maximize their server infrastructure expenditures.

Fundamental Leadership in Workload

Comparing a single-socket 8-core Intel Xeon E-2488 system to a single-socket 16-core AMD EPYC 4584PX system, illustrates the ~1.73x SPECrate 2017_int_rate_base performance uplift achieved by the latter. A performance gain of around 1.50x is also achieved using the identical AMD EPYC 4584PX and Intel Xeon E-2488 CPU.

Advantage of Power Efficiency

Small- to medium-sized businesses and huge data centers struggle with energy costs. The SPECpower_ssj 2008 benchmark standardizes energy efficiency evaluation of volume server-class computers.

The power efficiency of 4th-generation AMD EPYC 4004 CPUs leads SPECpower_ssj 2008. A 16-core AMD EPYC 4584PX system with ~1.81x more energy efficiency than an Intel system. Once again, the AMD EPYC 4004 CPU offers a noteworthy increase in performance per CPU dollar of around 1.57 times.

Java Server Side

The SPECjbb 2015 benchmark simulates a business IT environment that manages online activities, data mining jobs, and point-of-sale transactions in order to assess server-side Java programs. This benchmark is significant to JVM suppliers, hardware manufacturers, Java developers, researchers, and academics because of how widely used Java is. Max-jOPS, which measures maximum throughput without stringent response time restrictions, and critical-jOPS, which measures maximum throughput with reaction time limits, are the performance metrics used by SPECjbb 2015.

A single-socket 16-core AMD EPYC 4584PX system achieves ~2.59x the performance of the same Intel processor on the SPECjbb 2015 composite critical jOPS metric at a performance/CPU dollar result of up to ~2.24x, and ~2.02x the performance of a single-socket 8-core Intel Xeon E-2388G system on the SPECjbb 2015 composite max jOPS metric.

Processing Transactions for Small and Medium-Sized Enterprises

Online transaction processing (OLTP) benchmark TPC Benchmark C describes a set of functional criteria that are common to all transaction processing systems, independent of operating system or hardware. The TPROC-C workload was developed and generated using the HammerDB benchmark tool.Image Credit To AMD

Because the results of this open-source workload do not adhere to the TPC-C Benchmark Standard, they cannot be compared to published TPC-C results. Instead, they are generated from the TPC-C Benchmark Standard. On the other hand, HammerDB TPROC-C is a useful tool for quickly evaluating the performance of database systems, contrasting databases, and system optimization.

A 16-core AMD EPYC 4584PX single-socket system is shown in Figure, delivering about 1.50x MySQL TPROC-C TPM performance and approximately 1.30x performance/CPU dollar compared to the identical Intel processor.

Processing of Media

Image Credit To AMD

The increased demand for high-quality video material has made media processing an increasingly typical edge activity. A flexible multimedia framework, FFmpeg may be used to encode, decode, transcode, stream, filter, and play back video files in a variety of historical and contemporary formats and standards. In comparison to the same Intel system, a single-socket, 16-core AMD EPYC 4584PX system can achieve average FFmpeg encode speed-ups of ~2.13x (8 jobs @ 2 threads per job), ~2.25x (4 jobs @ 4 threads per job), and ~2.45x (2 threads @ 8 cores per job) at a processor cost that is only about 15% higher.

Read more on govindhtech.com

[jcmarchi]

Vista: A New AI-Focused Supercomputer for the Open Science Community - Technology Org

New Post has been published on https://thedigitalinsider.com/vista-a-new-ai-focused-supercomputer-for-the-open-science-community-technology-org/

Vista: A New AI-Focused Supercomputer for the Open Science Community - Technology Org

Vista, a new artificial intelligence (AI)-centric system, is arriving at the Texas Advanced Computing Center at The University of Texas at Austin in early 2024.

Vista will set the stage for TACC’s Horizon system, the forthcoming Leadership-Class Computing Facility (LCCF) funded by the National Science Foundation (NSF), planned for fiscal year 2025. Horizon is expected to provide 10 times the computing capability of Frontera, the top U.S. academic supercomputer and the largest supercomputer in the NSF research cyberinfrastructure.

“Vista will bridge the gap between Frontera and Horizon to ensure the broad science and engineering research and education community has access to the most advanced computing and AI technologies,” said Katie Antypas, director in the NSF Office of Advanced Cyberinfrastructure. “Vista will also be a critical new resource to support responsible and trustworthy AI research for the benefit of our national welfare.”

Vista will mark a departure from the x86-based architecture used by TACC in Frontera, the Stampede systems, and others to central processing units (CPU) based on the Advanced RISC Machines (Arm) architecture. The new Arm-based NVIDIA GraceCPU Superchip is specifically designed for the rapidly expanding needs of AI and scientific computing.

“We’re excited about Vista,” said TACC Executive Director Dan Stanzione. “It’s our first ever system with an Arm-based primary processor. It will add to our capacity, particularly for AI, and help our user base begin porting to future generations of these technologies. With Vista, alongside our new Stampede3 (Intel) system, and the Lonestar6 (AMD) system we added last year, our team and our users will gain experience with and insight into the three major architectural paths we might follow for future systems, including Horizon.”

The NVIDIA GH200 Grace Hopper Superchip will be the processor for a little more than half of Vista’s compute nodes. It combines the Grace CPU with an NVIDIA Hopper architecture-based GPU so that the GPU can seamlessly access CPU memory to enable bigger AI models. The NVIDIA Grace CPU Superchip, which contains two Grace processors in a single module, will fill out the remainder of Vista’s nodes for unaccelerated codes.

Memory is implemented in a new way with the superchips. Instead of traditional DDR DRAM, the Grace uses LPDDR5 technology—like the memory used in laptops but optimized for the needs of the data center. In addition to delivering higher bandwidth, this memory is more power-efficient than traditional DIMMS, offering savings as great as 200 watts per node.

In addition, the NVIDIA Quantum-2 InfiniBandnetworking platform will help advance Vista’s performance with its advanced acceleration engines and in-network computing, propelling it up to 400Gb/s.

“AI has the potential to allow scientific computing to solve some of the most challenging problems facing humanity,” said NVIDIA Director of Accelerated Computing Dion Harris. “NVIDIA’s accelerated computing platform equips leading academic supercomputers, such as TACC’s Vista, with the extreme performance required to unlock this transformative potential.”

On the storage side, TACC has partnered with VAST Data to supply Vista’s file system with all-flash, high-performance storage linked to its Stampede3 supercomputer. The compute nodes will be manufactured by Gigabyte, and Dell Technologies will provide the integration.

Vista allocations will be available primarily through the NSF-funded Frontera project, and will also offer time throughthe Advanced Cyberinfrastructure Ecosystem: Services and Support (ACCESS) project to its broad user community.

Stampede3 to Enter Full Production in Early 2024

In addition to Vista, TACC announced the Stampede3 system in July 2023, a powerful new Dell Technologies and Intel-based supercomputer that will be the high-capability and high-capacity HPC system available to open science research projects in the U.S. when it enters full production in early 2024.Learn more about the system specifications.

Lonestar6: TACC’s Primary System for Texas Researchers

TACC’s Lonestar6 supercomputer went into full production in January 2022 with a boost of new servers and GPUs from Dell Technologies, AMD, and NVIDIA. This is in addition to the three petaflops of pre-existing performance from the AMD CPUs in the system. This system allows Texas researchers to compute and compete at the forefront of science and engineering. Lonestar6 is designed to meet the growing demand for AI and other GPU-accelerated solutions and take advantage of the power efficiency in heterogeneous computing.Learn more about the system specifications.

Source: TACC

You can offer your link to a page which is relevant to the topic of this post.

[tastydregs]

Intel and AMD Path to Zettaflop Supercomputers

In 2021, Intel talked reaching Zettascale in three phases. AMD CEO talked about getting to a Zettaflop in 2030-2035. AMD CEO indicated that an earlier Zettaflop supercomputer would need about 500 Megawatts of power. Exascale systems today consume 21MW of power.

AMD and Intel have managed to roughly double the performance of their CPUs and GPUs every 2.4 years. HPE, Atos, and Lenovo have achieved similar gains roughly every 1.2 years at the system level, Su says power efficiency is lagging behind. Citing the performance and efficiency figures gleaned from the top supercomputers, AMD says gigaflops per watt is doubling roughly every 2.2 years, about half the pace the systems are growing.

AMD aims to resolve this efficiency issue by innovating and utilizing creative packaging technologies. As per AMD, a 3D stacked approach is around 50x more efficient than an off-package copper solution.

AMD was more specific about using 3D stacked approaches and chiplets to achieve the performance gains.

Assuming this trend continues unchanged, AMD estimates that we’ll achieve a zettaflop-class supercomputer in about 10-years give or take

Intel’s general path to a Zettaflop supercomputer that is 1000 times more powerful than the best supercomputer today. 1. Optimizing Exascale with Next-Gen Xeon and Next-Gen GPU in 2022/2023; 2. In 2024/2025 with the integration of Xeon plus Xe called Falcon as well as Silicon Photonics or ‘LightBringer’; 3. Zettascale around 2027.

Intel has gone on the record saying that Aurora, the upcoming supercomputer for Argonne, will be in excess of two ExaFLOPs of 64-bit double-precision compute.

In February, 2023, Intel recently announced that the test system (Borealis) for the exascale Aurora deployment at Argonne National Laboratory in Illinois is finally live.

Aurora will feature around 10,000 server blades, each featuring 2x 4th Generation Intel Xeon Scalable Processors (which we know as Sapphire Rapids) and 6x Intel Data Center GPU Max Series (which we know as Ponte Vecchio) chips. The Intel Borealis test system (also based out of Argonne) will feature just 128 server blades although in an identical configuration and scalable setting as its larger variant. Aurora will be the size of 2 basketball courts and 600 tons and a rated peak performance of 2 EXAFLOPs, this will likely be one of the first exascale supercomputers in the US and one of the fastest in the entire world.

Intel talks about getting an architecture jump of 16x, power and thermals are 2x, data movement is 3x, and process is 5x. That is about 500x, on top of the two ExaFLOP Aurora system, to get to a ZettaFLOP.

The 16X architecture jump, Intel says the foundational element is the IPC per watt improvement. Intel thinks we know how to do the 16x performance improvement pretty easily, or relatively. The power efficiency is the challenge there in terms of both the architecture and microarchitectural opportunities that are ahead of us.

Brian Wang is a Futurist Thought Leader and a popular Science blogger with 1 million readers per month. His blog Nextbigfuture.com is ranked #1 Science News Blog. It covers many disruptive technology and trends including Space, Robotics, Artificial Intelligence, Medicine, Anti-aging Biotechnology, and Nanotechnology.

Known for identifying cutting edge technologies, he is currently a Co-Founder of a startup and fundraiser for high potential early-stage companies. He is the Head of Research for Allocations for deep technology investments and an Angel Investor at Space Angels.

A frequent speaker at corporations, he has been a TEDx speaker, a Singularity University speaker and guest at numerous interviews for radio and podcasts.  He is open to public speaking and advising engagements.

[thetechnonews]

Global High Performance Computing Market Is Likely to Experience a Tremendous Growth in Near Future

The High-Performance Computing market was valued at USD 41.91 Billion in 2020, and it is expected to reach a value of USD 63.45 Billion by 2027, at a CAGR of 6.10% over the forecast period (2020 - 2027).

High-performance computing, often known as supercomputing, entails the use of parallel processing to analyze data at faster speeds and accuracies, as well as efficiently generate outputs. Parallel processing reduces the amount of time it takes to perform algorithms by spreading program instructions across several processors. HPC systems typically consist of a group of computers with enough computing capacity to perform complex calculations. In other words, high-performance computing (HPC) technologies can make complicated commercial processes easier. As a result, HPC systems are projected to become increasingly popular.

Read Full Report : https://skyquestt.com/report/high-performance-computing-market

The capacity of HPC systems to process large quantities of data quickly and accurately is a key element driving the market's growth. In several industries, there is a growing demand for high-efficiency computing.

This report provides in-depth analysis of Global High Performance Computing market. We have analyzed 20+ data points that include product price trends, consumer purchase patterns, company annual sales performance, COVID-19 impact on distribution channels, parent industry performance, regional trends, and technological innovations, for tracking the Global market size and performance in the recent years.

Global High Performance Computing Market Segmentation

The Global High Performance Computing market is segmented based on Component, Deployment, and Region. Based on Component it is categorized into: Servers, Storage, Networking Devices, Software, Services, Cloud, Others. Based on Deployment it is categorized into: On-premises, Cloud. Based on region it is categorized into: North America, Europe, Asia-Pacific, South America, and MEA.

Get Sample Copy : https://skyquestt.com/sample-request/high-performance-computing-market

Global High Performance Computing Market: Impact of COVID 19

There has been a huge impact of COVID across the high-performance computing market and HPC has proven useful to researchers across the world. For instance, The COVID-19 High-Performance Computing Consortium has been launched by the White House to provide COVID-19 researchers throughout the world with high-performance computing resources. This measure will provide researchers access to some of the world's most powerful high-performance computing capabilities, potentially speeding up scientific discoveries in the fight against the virus.

Global High Performance Computing Market: Regional Dynamics

In terms of geography, the HPC market is segmented into North America, Europe, Asia Pacific, Central & South America, and Middle East & Africa. Over the projection period, the Asia Pacific area is predicted to have the greatest CAGR. Countries like China and Japan are key contributors to the region's increased market share and growth. North America had the greatest share of the market. It is because the area is the most important regional market for technology-based solutions. It is also expected to have a significant role in the global economy, particularly in the application and new technologies.

Key players in High Performance Computing market are:

·         Atos SE

·         Advanced Micro Devices, Inc. (AMD)

·         Cray Research, Inc.

·         Cisco Systems, Inc.

·         Dell Technologies, Inc.

·         Fujitu Limited

·         Hewlett Packard, Inc. (HP)

·         Intel Corporation

·         International Business Machines Corporation (IBM)

 About Us-

SkyQuest Technology Group is a Global Market Intelligence, Innovation Management & Commercialization organization that connects innovation to new markets, networks & collaborators for achieving Sustainable Development Goals.

Contact Us-

Ms. Shriya Damani

SkyQuest Technology Consulting Pvt. Ltd.

1 Apache Way,

Westford,

Massachusetts 01886

USA (+1) 617-230-0741

Email- info@skyquestt.com

Website: https://www.skyquestt.com

[collectorloading445]

Fate For Mac Free Download

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Across the virtual realm of SE.RA.PH, Masters of digital magic commanded their Servants, great heroes and villains of history and lore, to fight in the Holy Grail War. The prize was the “Holy Grail” itself — aka the Moon Cell Automaton, a lunar supercomputer with the power to grant any wish.

Though the war has ended, with the Servant Nero and her Master on top, all is not well. Not only is Nero’s rival Servant already leading an uprising, but a new challenger waits in the dark, ready to tear through reality itself to strike at her heart.

Nero prepares to defend her new throne. Beside her stand her Master and a few loyal allies. Ahead lies not only an ocean of enemies, but an ancient secret far more terrible than any war…

Fate Heads for a New Stage!

The famous Fate EXTRA series strikes a path to a new stage with Fate/EXTELLA: The Umbral Star. Many of the fan favorite characters including the ancient Heroic Spirits (Servants) summoned by the Holy Grail, will make their appearances. This game has been reborn as a high-speed action battle where you go against the enemy and their army. You can also take the time to enjoy the deep story of the Fate series.

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A Brand-New Story from the Series’ Author, Kinoko Nasu As the original creator of Fate/stay night and the scenario writer of Fate/EXTRA, Kinoko Nasu has created a completely new scenario for Fate/EXTELLA. The universe and characters of Fate will evolve.

A Large Story Told from Different Perspectives In Fate/EXTELLA, the story will be told from the independent perspectives of three heroine Servants. Various side stories are also included, creating a structure that will shed light on the main story.

A New Way to Battle As the first action game in the Fate series, players will finally be able to control a Servant and perform various moves, including a powerful form change ability to transform Servants. Engage in intense battles on the ground or in mid-air to annihilate the enemy forces!

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Processor: Intel Core i5-6400 @ 3.2 GHz / AMD A8-6500 @ 3.50 GHz

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Mystery Case Files: Madame Fate for PC and Mac Screenshots

Features and Description

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