Oracle has been part of the Linux community for 25 years. Our goal has remained the same over all those years: help make Linux the best server operating system for everyone, freely available to all, with high-quality, low-cost support provided to those who need it. Our Linux engineering team makes significant contributions to the kernel, file systems, and tools. We push all that work back to mainline so that every Linux distribution can include it. We are proud those contributions are part of the reason Linux is now so very capable, benefiting not just Oracle customers, but all users.

In 2006, we launched what is now called Oracle Linux, a RHEL compatible distribution and support offering that is used widely, and powers Oracle's engineered systems and our cloud infrastructure. We chose to be RHEL compatible because we did not want to fragment the Linux community. Our effort to remain compatible has been enormously successful. In all the years since launch, we have had almost no compatibility bugs filed. Customers and ISVs can switch to Oracle Linux from RHEL without modifying their applications, and we certify Oracle software products on RHEL even though they are built and tested on Oracle Linux only, never on RHEL.

Today, it was announced that Rensselaer Polytechnic Institute will become the first university in the world to house an IBM Quantum System One. The IBM quantum computer, intended to be operational by January of 2024, will serve as the foundation of a new IBM Quantum Computational Center in partnership with Rensselaer Polytechnic Institute (RPI). By partnering, RPI's vision is to greatly enhance the educational experiences and research capabilities of students and researchers at RPI and other institutions, propel the Capital Region into a top location for talent, and accelerate New York's growth as a technology epicenter.

RPI's advance into research of applications for quantum computing will represent a more than $150 million investment once fully realized, aided by philanthropic support from Curtis R. Priem '82, vice chair of RPI's Board of Trustees. The new quantum computer will be part of RPI's new Curtis Priem Quantum Constellation, a faculty endowed center for collaborative research, which will prioritize the hiring of additional faculty leaders who will leverage the quantum computing system.

A new global study by the IBM Institute for Business Value found that nearly half of CEOs surveyed identify productivity as their highest business priority—up from sixth place in 2022. They recognize technology modernization is key to achieving their productivity goals, ranking it as second highest priority. Yet, CEOs can face key barriers as they race to modernize and adopt new technologies like generative AI.

The annual CEO study, CEO decision-making in the age of AI, Act with intention, found three-quarters of CEO respondents believe that competitive advantage will depend on who has the most advanced generative AI. However, executives are also weighing potential risks or barriers of the technology such as bias, ethics and security. More than half (57%) of CEOs surveyed are concerned about data security and 48% worry about bias or data accuracy.

For weeks, researchers at IBM Quantum and UC Berkeley were taking turns running increasingly complex physical simulations. Youngseok Kim and Andrew Eddins, scientists with IBM Quantum, would test them on the 127-qubit IBM Quantum Eagle processor. UC Berkeley's Sajant Anand would attempt the same calculation using state-of-the-art classical approximation methods on supercomputers located at Lawrence Berkeley National Lab and Purdue University. They'd check each method against an exact brute-force classical calculation.

Eagle returned accurate answers every time. And watching how both computational paradigms performed as the simulations grew increasingly complex made both teams feel confident the quantum computer was still returning answers more accurate than the classical approximation methods, even in the regime beyond the capabilities of the brute force methods. "The level of agreement between the quantum and classical computations on such large problems was pretty surprising to me personally," said Eddins. "Hopefully it's impressive to everyone."

Increasing its HPL score from 1.02 Eflop/s in November 2022 to an impressive 1.194 Eflop/s on this list, Frontier was able to improve upon its score after a stagnation between June 2022 and November 2022. Considering exascale was only a goal to aspire to just a few years ago, a roughly 17% increase here is an enormous success. Additionally, Frontier earned a score of 9.95 Eflop/s on the HLP-MxP benchmark, which measures performance for mixed-precision calculation. This is also an increase over the 7.94 EFlop/s that the system achieved on the previous list and nearly 10 times more powerful than the machine's HPL score. Frontier is based on the HPE Cray EX235a architecture and utilizes AMD EPYC 64C 2 GHz processors. It also has 8,699,904 cores and an incredible energy efficiency rating of 52.59 Gflops/watt. It also relies on gigabit ethernet for data transfer.

In its recent Second Quarter of the Fiscal Year 2023 conference, Synopsys issued interesting information about the recent moves of chip developers and their usage of artificial intelligence. As the call notes, over 200+ chips have been taped out using Synopsys DSO.ai place-and-route (PnR) tool, making it a successful commercially proven AI chip design tool. The DSO.ai uses AI to optimize the placement and routing of the chip's transistors so that the layout is compact and efficient with regard to the strict timing constraints of the modern chip. According to Aart J. de Geus, CEO of Synopsys, "By the end of 2022, adoption, including 9 of the top 10 semiconductor vendors have moved forward at great speed with 100 AI-driven commercial tape-outs. Today, the tally is well over 200 and continues to increase at a very fast clip as the industry broadly adopts AI for design from Synopsys."

This is an interesting fact that means that customers are seeing the benefits of AI-assisted tools like DSO.ai. However, the company is not stopping there, and a whole suite of tools is getting an AI makeover. "We unveiled the industry's first full-stack AI-driven EDA suite, sydnopsys.ai," noted the CEO, adding that "Specifically, in parallel to second-generation advances in DSO.ai we announced VSO.ai, which stands for verification space optimization; and TSO.ai, test space optimization. In addition, we are extending AI across the design stack to include analog design and manufacturing." Synopsys' partners in this include NVIDIA, TSMC, MediaTek, Renesas, and IBM Research, all of which used AI-assisted tools for chip design efforts. A much wider range of industry players is expected to adopt these tools as chip design costs continue to soar as we scale the nodes down. With future 3 nm GPU costing an estimated $1.5 billion, 40% of that will account for software, and Synopsys plans to take a cut in that percentage.

Nintendo hardware enthusiasts have been scouring the internet for more than two decades in search of special prototype Nintendo GameCube consoles - the Space World 2000 expo model has long been sought after by hardcore collectors. Nintendo revealed (at the time) its upcoming home console as well as the Game Boy Advance handheld system at their annual video game trade show held near Tokyo, or the company's hometown of Kyoto, Japan. Space World 2000 (Makuhari Messe, Chiba) would end up being the penultimate show, with Nintendo choosing to not continue with their regular consumer event post-2001.

Consolevariations, a gaming hardware database, this week reported via a blog post that an interesting GameCube prototype was up for sale, following a tip received on Discord, and it quickly became apparent that this slightly bashed and chipped example was indeed one of the very first models revealed to the public at Nintendo's Space World 2000 expo. Several preview units were also demoed on the showroom floor at the August 2001 event, but experts think that these were sourced from the previous year's batch.

With the rise of generative artificial intelligence (AI) and other AI tools, the new models pose a threat to workers around the globe. Today, as reported by Bloomberg News, we find out that International Business Machines, or IBM shortly, is planning to replace thousands of jobs using automation and AI technology. As the report suggests, IBM's Chief Executive Officer Arvind Krishna is expecting to pause the hiring for roles AI could replace in the coming years. The main department that will see a job cut is the non-customer-facing roles like the back office. There are 26,000 people at IBM working in the back office, and CEO noted that "I could easily see 30% of that getting replaced by AI and automation over a five-year period."

This translates to roughly 7,800 jobs impacted by AI over the next five years. The CEO also added that departments such as human resources would see a hiring slowdown or even suspension of hiring further. IBM has 260,000 employees, and the company continues to look for engineering and customer-facing roles.

Future Japanese chipmaker Rapidus has announced that their first fab will be located in Chitose, Hokkaido, located in northern Japan. The planned 2 nm fab will be one of the most advanced fabs in the world once it's ready and construction is said to be starting in September, thanks to approval by the related Japanese government agencies. So far, the Japanese government has approved 330 billion yen for Rapidus, with the most recent investment being 260 billion yen or the equivalent of US$1.94 billion.

However, the total investment into the 2 nm fab is expected to end up somewhere around 5 trillion yen (~US$37.5 billion) in total investments before the fab is ready for mass production. Rapidus is collaborating with IBM and has already sent a group of researchers to its Albany Nanotech facility in upstate New York, which is one of the world's most advanced semiconductor research facilities. At the same time, Japan is working on building a local talent pool of researchers and semiconductor plant workers, by spearheading specialised training for select university students from Japan's top universities. Time will tell if this gamble pays off for Japan, as it's going to be a huge investment before the new fab stands ready in early 2025.

GlobalFoundries (GF) today sued IBM for trade secret misappropriation. The complaint asserts the former semiconductor manufacturing company has unlawfully disclosed GF's confidential IP and trade secrets, after IBM sold its microelectronics business to GF in 2015. The technology at issue was collaboratively developed, over decades, by the companies in Albany, New York and the sole and exclusive right to license and disclose that technology was transferred to GF upon the sale.

In the legal action filed in federal court in the Southern District of New York, GF asserts that IBM unlawfully disclosed GF IP and trade secrets to IBM partners including Intel and Japan's Rapidus, a newly formed advanced logic foundry, and by doing so, IBM is unjustly receiving potentially hundreds of millions of dollars in licensing income and other benefits.

IBM today unveiled new single frame and rack mount configurations of IBM z16 and IBM LinuxONE 4, expanding their capabilities to a broader range of data center environments. Based on IBM's Telum processor, the new options are designed with sustainability in mind for highly efficient data centers, helping clients adapt to a digitized economy and ongoing global uncertainty.

Introduced in April 2022, the IBM z16 multi frame has helped transform industries with real-time AI inferencing at scale and quantum-safe cryptography. IBM LinuxONE Emperor 4, launched in September 2022, features capabilities that can reduce both energy consumption and data center floor space while delivering the scale, performance and security that clients need. The new single frame and rack mount configurations expand client infrastructure choices and help bring these benefits to data center environments where space, sustainability and standardization are paramount.

The 60th edition of the TOP500 reveals that the Frontier system is still the only true exascale machine on the list.

With an HPL score of 1.102 EFlop/s, the Frontier machine at Oak Ridge National Laboratory (ORNL) did not improve upon the score it reached on the June 2022 list. That said, Frontier's near-tripling of the HPL score received by second-place winner is still a major victory for computer science. On top of that, Frontier demonstrated a score of 7.94 EFlop/s on the HPL-MxP benchmark, which measures performance for mixed-precision calculation. Frontier is based on the HPE Cray EX235a architecture and it relies on AMD EPYC 64C 2 GHz processor. The system has 8,730,112 cores and a power efficiency rating of 52.23 gigaflops/watt. It also relies on gigabit ethernet for data transfer.

IBM is one of the frontiers for using the natural properties of quantum particles to process the information on an enterprise scale. With constant advances in quantum information processing, the company is using newly found discoveries to double the size of its quantum processors. Using quantum properties instead of the conventional on/off switching of bits in the regular processors, quantum processors can process the information on a much larger scale. Last year, IBM unveiled the Eagle quantum processor with 127 qubits. This year, the company is bringing in 433 qubits to the table to power the next generation of enterprise and data center infrastructure.

Called IBM Osprey, it features IBM's 433 qubits cooled to cryogenic temperatures and in a controlled environment. While the computational power of the processor seems to be rather impressive, it is still a noisy quantum implementation that is sensitive to outside noise and requires exceptionally low temperatures to operate, such as -273 Degrees Celcius. To combat some of those obstacles, Osprey adds multi-level wiring to provide flexibility for signal routing and device layout while also adding integrated filtering to reduce noise and improve stability. Concurrently, IBM developed new signal delivery wiring that is 70% cheaper and produces the same result, driving up the ability to commercialize this design. For performance, IBM managed to increase quantum volume four times from 128 to 512 and a 10x improvement in Driving quantum performance from 1.4k to 15k Circuit Layer Operations Per Second (CLOPS).

IBM Research has published information about the company's latest development of processors for accelerating Artificial Intelligence (AI). The latest IBM processor, called the Artificial Intelligence Unit (AIU), embraces the problem of creating an enterprise solution for AI deployment that fits in a PCIe slot. The IBM AIU is a half-height PCIe card with a processor powered by 23 Billion transistors manufactured on a 5 nm node (assuming TSMC's). While IBM has not provided many details initially, we know that the AIU uses an AI processor found in the Telum chip, a core of the IBM Z16 mainframe. The AIU uses Telum's AI engine and scales it up to 32 cores and achieve high efficiency.

The company has highlighted two main paths for enterprise AI adoption. The first one is to embrace lower precision and use approximate computing to drop from 32-bit formats to some odd-bit structures that hold a quarter as much precision and still deliver similar result. The other one is, as IBM touts, that "AI chip should be laid out to streamline AI workflows. Because most AI calculations involve matrix and vector multiplication, our chip architecture features a simpler layout than a multi-purpose CPU. The IBM AIU has also been designed to send data directly from one compute engine to the next, creating enormous energy savings."

IBM today unveiled IBM z16, IBM's next-generation system with an integrated on-chip AI accelerator—delivering latency-optimized inferencing. This innovation is designed to enable clients to analyze real-time transactions, at scale -- for mission-critical workloads such as credit card, healthcare and financial transactions. Building on IBM's history of security leadership, IBM z16 also is specifically designed to help protect against near-future threats that might be used to crack today's encryption technologies.

IBM innovations, including the IBM z16, have formed the technology backbone of the global economy for decades. Today's modern IBM mainframe is central to hybrid cloud environments, valued by two thirds of the Fortune 100, 45 of the world's top 50 banks, 8 of the top 10 insurers, 7 of the top 10 global retailers and 8 out of the top 10 telcos as a highly secured platform for running their most mission critical workloads. For example, according to a recent IBM commissioned study by Celent "Operationalizing Fraud Prevention on IBM Z," IBM zSystems run 70% of global transactions, on a value basis. "IBM is the gold standard for highly secured transaction processing. Now with IBM z16 innovations, our clients can increase decision velocity with inferencing right where their mission critical data lives," said Ric Lewis, SVP, IBM Systems. "This opens up tremendous opportunities to change the game in their respective industries so they will be positioned to deliver better customer experiences and more powerful business outcomes.

IBM today unveiled IBM FlashSystem Cyber Vault to help companies better detect and recover quickly from ransomware and other cyberattacks. The company also announced new FlashSystem storage models, based on IBM Spectrum Virtualize to provide a single and consistent operating environment, that are designed to increase cyber resilience and application performance within a hybrid cloud environment.

According to the IBM Cyber Resilient Organization study, 46 percent of respondents surveyed reported experiencing a ransomware attack over the past two years. With cyberattacks continuing to grow, and with average recovery time lasting days or even weeks, business and reputational risks are unprecedented. Even with prevention and detection tactics in place, organizations also must be ready to recover their operations quickly to minimize loss of business and other costs.

IBM today announced that LG Electronics has joined the IBM Quantum Network to advance the industry applications of quantum computing. By joining the IBM Quantum Network, IBM will provide LG Electronics access to IBM's quantum computing systems, as well as to IBM's quantum expertise and Qiskit, IBM's open-source quantum information software development kit.

LG Electronics aims to explore applications of quantum computing in industry to support big data, artificial intelligence, connected cars, digital transformation, IoT, and robotics applications - all of which require processing a large amount of data. With IBM Quantum, LG can leverage quantum computing hardware and software advances and applications as they emerge, in accordance with IBM's quantum roadmap. By leveraging IBM Quantum technology, LG will provide workforce training to its employees, permitting LG to investigate how potential breakthroughs can be applied to its industry.

Today, IBM and Samsung Electronics jointly announced a breakthrough in semiconductor design utilizing a new vertical transistor architecture that demonstrates a path to scaling beyond nanosheet, and has the potential to reduce energy usage by 85 percent compared to a scaled fin field-effect transistor (finFET)1. The global semiconductor shortage has highlighted the critical role of investment in chip research and development and the importance of chips in everything from computing, to appliances, to communication devices, transportation systems, and critical infrastructure.

The two companies' semiconductor innovation was produced at the Albany Nanotech Complex in Albany, NY, where research scientists work in close collaboration with public and private sector partners to push the boundaries of logic scaling and semiconductor capabilities. This collaborative approach to innovation makes the Albany Nanotech Complex a world-leading ecosystem for semiconductor research and creates a strong innovation pipeline, helping to address manufacturing demands and accelerate the growth of the global chip industry.

IBM today announced its new 127-quantum bit (qubit) 'Eagle' processor at the IBM Quantum Summit 2021, its annual event to showcase milestones in quantum hardware, software, and the growth of the quantum ecosystem. The 'Eagle' processor is a breakthrough in tapping into the massive computing potential of devices based on quantum physics. It heralds the point in hardware development where quantum circuits cannot be reliably simulated exactly on a classical computer. IBM also previewed plans for IBM Quantum System Two, the next generation of quantum systems.

Quantum computing taps into the fundamental quantum nature of matter at subatomic levels to offer the possibility of vastly increased computing power. The fundamental computational unit of quantum computing is the quantum circuit, an arrangement of qubits into quantum gates and measurements. The more qubits a quantum processor possesses, the more complex and valuable the quantum circuits that it can run.

The 58th annual edition of the TOP500 saw little change in the Top10. The Microsoft Azure system called Voyager-EUS2 was the only machine to shake up the top spots, claiming No. 10. Based on an AMD EPYC processor with 48 cores and 2.45GHz working together with an NVIDIA A100 GPU and 80 GB of memory, Voyager-EUS2 also utilizes a Mellanox HDR Infiniband for data transfer.

While there were no other changes to the positions of the systems in the Top10, Perlmutter at NERSC improved its performance to 70.9 Pflop/s. Housed at the Lawrence Berkeley National Laboratory, Perlmutter's increased performance couldn't move it from its previously held No. 5 spot.

AMD announced today that IBM Cloud has chosen 3rd Gen AMD EPYC processors to expand its bare metal service offerings designed to power customers' demanding workloads and solutions. The new servers, featuring 128 cores, up to 4 TB of memory and 10 NVMe drives per server, give users full access to high-end, dual-socket performance with AMD EPYC 7763 processors; a first for IBM Cloud in a dual-socket platform.

"Our customers have a high demand for computing processing power and the new 3rd Gen AMD EPYC processors provide the high levels of performance and scalability we were looking for," said Suresh Gopalakrishnan, vice president, IBM Cloud. "Our collaboration with AMD has helped us deliver our highest core counts and bandwidth ever available for IBM Cloud customers, to offer top market performance for today and tomorrow's demanding workloads."

"IBM Cloud customers regularly running compute-intensive workloads can see an immediate benefit to speed and scalability by upgrading to 3rd Gen AMD EPYC processors, while helping to deliver a secure experience for end-users," said Lynn Comp, corporate vice president, Cloud Business Group, AMD. "Our continued collaboration with IBM Cloud is further validation of the strong standing AMD holds in the market as we deliver topline solutions that promote a seamless experience for cloud partners and their customers."

NVIDIA today announced NVIDIA Quantum-2, the next generation of its InfiniBand networking platform, which offers the extreme performance, broad accessibility and strong security needed by cloud computing providers and supercomputing centers.

The most advanced end-to-end networking platform ever built, NVIDIA Quantum-2 is a 400 Gbps InfiniBand networking platform that consists of the NVIDIA Quantum-2 switch, the ConnectX-7 network adapter, the BlueField-3 data processing unit (DPU) and all the software that supports the new architecture.

IBM (NYSE: IBM) today announced the new IBM Power E1080 server, the first in a new family of servers based on the new IBM Power10 processor, designed specifically for hybrid cloud environments. The IBM Power10-equipped E1080 server is engineered to be one of the most secured server platforms and is designed to help clients operate a secured, frictionless hybrid cloud experience across their entire IT infrastructure.

The IBM Power E1080 server is launching at a critical time for IT. As organizations around the world continue to adapt to unpredictable changes in consumer behaviors and needs, they need a platform that can deliver their applications and insights securely where and when they need them. The IBM Institute of Business Value's 2021 CEO Study found that, of the 3,000 CEOs surveyed, 56% emphasized the need to enhance operational agility and flexibility when asked what they'll most aggressively pursue over the next two to three years.

At the annual Hot Chips conference, IBM (NYSE: IBM) today unveiled details of the upcoming new IBM Telum Processor, designed to bring deep learning inference to enterprise workloads to help address fraud in real-time. Telum is IBM's first processor that contains on-chip acceleration for AI inferencing while a transaction is taking place. Three years in development, the breakthrough of this new on-chip hardware acceleration is designed to help customers achieve business insights at scale across banking, finance, trading, insurance applications and customer interactions. A Telum-based system is planned for the first half of 2022.

Today, businesses typically apply detection techniques to catch fraud after it occurs, a process that can be time consuming and compute-intensive due to the limitations of today's technology, particularly when fraud analysis and detection is conducted far away from mission critical transactions and data. Due to latency requirements, complex fraud detection often cannot be completed in real-time - meaning a bad actor could have already successfully purchased goods with a stolen credit card before the retailer is aware fraud has taken place.

The U.S. Department of Defense, through the NSTXL consortium-based S2MARTS OTA, has awarded Intel an agreement to provide commercial foundry services in the first phase of its multi-phase Rapid Assured Microelectronics Prototypes - Commercial (RAMP-C) program. The RAMP-C program was created to facilitate the use of a U.S.-based commercial semiconductor foundry ecosystem to fabricate the assured leading-edge custom and integrated circuits and commercial products required for critical Department of Defense systems. Intel Foundry Services, Intel's dedicated foundry business launched this year, will lead the work.

"One of the most profound lessons of the past year is the strategic importance of semiconductors, and the value to the United States of having a strong domestic semiconductor industry. Intel is the sole American company both designing and manufacturing logic semiconductors at the leading edge of technology. When we launched Intel Foundry Services earlier this year, we were excited to have the opportunity to make our capabilities available to a wider range of partners, including in the U.S. government, and it is great to see that potential being fulfilled through programs like RAMP-C." -Pat Gelsinger, Intel CEO.