IBM, at the 2023 IEEE International Electron Device Meeting (IEDM), demonstrated a concept nanosheet transistor that posts a near 100% performance improvement at the boiling point of nitrogen, of 77 Kelvin (-196 °C). Given how relatively industrialized and scaled out the manufacture, safe transport, storage, and use of liquid nitrogen is, this development potentially unlocks a new class of chips that attain top performance under liquid nitrogen cooling. Think a new generation of AI HPC accelerators that can instantly double their performance under LN2, provided a new kind of cooling solution is developed for data-centers.

Nanosheet transistors are the evolutionary next step to FinFETs, which have been driving semiconductor foundries since 16 nm, which could see their technical limits met at 3 nm. Nanosheets are expected to make their debut with 2 nm-class nodes such as the TSMC N2 and Intel 20A. At an operating temperature of 77 K, IBM's nanosheet device is claimed to offer a near doubling in performance, due to less charge carrier scattering, which results in lower power. Reducing scattering reduces resistance in the wires, letting electrons move through the device more quickly. Combined with lower power, devices can drive a higher current at a given voltage. Cooling also results in greater sensitivity between the device's on and off positions, so it takes lesser power to switch between the two states, resulting in lower power. This lower power means that transistor widths can be lowered, resulting in higher transistor densities, or smaller chips. As of now IBM is wrestling with a technical challenge concerning the transistor's threshold voltage, a voltage which is needed to create a conducting channel between the source and the drain.

The 62nd edition of the TOP500 reveals that the Frontier system retains its top spot and is still the only exascale machine on the list. However, five new or upgraded systems have shaken up the Top 10.

Housed at the Oak Ridge National Laboratory (ORNL) in Tennessee, USA, Frontier leads the pack with an HPL score of 1.194 EFlop/s - unchanged from the June 2023 list. Frontier utilizes AMD EPYC 64C 2GHz processors and is based on the latest HPE Cray EX235a architecture. The system has a total of 8,699,904 combined CPU and GPU cores. Additionally, Frontier has an impressive power efficiency rating of 52.59 GFlops/watt and relies on HPE's Slingshot 11 network for data transfer.

Today, IBM introduced the new IBM Storage Scale System 6000, a cloud-scale global data platform designed to meet today's data intensive and AI workload demands, and the latest offering in the IBM Storage for Data and AI portfolio.

For the seventh consecutive year and counting, IBM is a 2022 Gartner Magic Quadrant for Distributed File Systems and Object Storage Leader, recognized for its vision and execution. The new IBM Storage Scale System 6000 seeks to build on IBM's leadership position with an enhanced high performance parallel file system designed for data intensive use-cases. It provides up to 7M IOPs and up to 256 GB/s throughput for read only workloads per system in a 4U (four rack units) footprint.

The Platform for Digital and Quantum Innovation of Quebec (PINQ²), a non-profit organization (NPO) founded by the Ministry of Economy, Innovation and Energy of Quebec (MEIE - ministère de l'Économie, de l'Innovation et de l'Énergie du Québec) and the Université de Sherbrooke, along with IBM, are proud to announce the historic inauguration of an IBM Quantum System One at IBM Bromont. This event marks a major turning point in the field of information technology and all sectors of innovation in Quebec, making PINQ² the sole administrator to inaugurate and operate an IBM Quantum System One in Canada. To date, this is one of the most advanced quantum computers in IBM's global fleet of quantum computers.

This new quantum computer in Quebec reinforces Quebec's and Canada's position as a force in the rapidly advancing field of quantum computing, opening new prospects for the technological future of the province and the country. Access to this technology is a considerable asset not only for the ecosystem of DistriQ, the quantum innovation zone for Quebec, but also for the Technum Québec innovation zone, the new "Energy Transition Valley" innovation zone and other strategic sectors for Quebec.

It's an exciting time in AI for business. As we apply the technology more widely across areas ranging from customer service to HR to code modernization, artificial intelligence (AI) is helping increasing numbers of us work smarter, not harder. And as we are just at the start of the AI for business revolution, the potential for improving productivity and creativity is vast. But AI today is an incredibly dynamic field, and AI platforms must reflect that dynamism, incorporating the latest advances to meet the demands of today and tomorrow. This is why we at IBM continue to add powerful new capabilities to IBM watsonx, our data and AI platform for business.

We have announced our latest addition: a new family of IBM-built foundation models which will be available in watsonx.ai, our studio for generative AI, foundation models and machine learning. Collectively named "Granite," these multi-size foundation models apply generative AI to both language and code. And just as granite is a strong, multipurpose material with many uses in construction and manufacturing, so we at IBM believe these Granite models will deliver enduring value to your business. But now let's take a look under the hood and explain a little about how we built them, and how they will help you take AI to the next level in your business.

IBM has announced the expansion of the their Cloud Security and Compliance Center, a suite of modernized cloud security and compliance solutions designed to help enterprises mitigate risk and protect data across their hybrid, multicloud environments and workloads. As clients look for ways to address new threats across the supply chain and manage evolving global regulations, the solution suite helps to support their resiliency, performance, security, and compliance needs while helping to minimize operational costs.

"IBM Cloud has a long history of working with clients in financial services and other highly regulated industries, especially when it comes to helping them to drive innovation while protecting their sensitive data," said Rohit Badlaney, General Manager, IBM Cloud Product and Industry Platform. "The expansion of the IBM Cloud Security and Compliance Center demonstrates our continued focus on industry-specific capabilities that help address real world business challenges for our clients. For example, clients have the ability to utilize the IBM Cloud Framework for Financial Services, which can help them address evolving rules, laws and regulations surrounding cloud risk. The new capabilities showcase our commitment to supporting clients on their hybrid cloud modernization journeys, designed for security, compliance, privacy, and trust at the forefront of our product roadmap."

IBM has formally introduced watsonx, the company's next generation enterprise-focused artificial intelligence and data platform. Global business leaders remain unclear about the real, transformative power of AI and how to leverage it. The campaign is designed to define and differentiate watsonx as a force multiplier that can accelerate impact for global business leaders as they look to apply AI solutions in new and innovative ways.

The two distinct spots feature a fast-paced, multi-media technique that aims to provide inspiration and guidance around the value proposition of watsonx, while underscoring the need to identify the right AI that will empower businesses to advance objectives and accelerate workloads. These concepts come to life through potential use cases that spotlight the importance of applying AI that is trusted, targeted, and built on the best open technology available.

FUJIFILM Corporation (President and CEO, Representative Director: Teiichi Goto) and IBM today announced the development of a 50 TB native tape storage system, featuring the world's highest native data tape cartridge capacity. Fujifilm has commenced production of a high-density tape cartridge for use with IBM's newest enterprise tape drive, the TS1170. The sixth-generation IBM 3592 JF tape cartridge incorporates a newly developed technology featuring fine hybrid magnetic particles to enable higher data storage capacity.

Innovations in achieving 50 TB Native Capacity
Fujifilm has succeeded in achieving this innovative cartridge capacity by evolving the technologies developed in previous tape generations. This involved enhancing both the areal recording density (the amount of data that can be recorded per square inch) and the overall recording area (the surface area capable of recording data).

IBM has launched a new tool to help enterprises track greenhouse gas (GHG) emissions across cloud services and advance their sustainability performance throughout their hybrid, multicloud journeys. Now generally available, the IBM Cloud Carbon Calculator - an AI-informed dashboard - can help clients access emissions data across a variety of IBM Cloud workloads such as AI, high performance computing (HPC) and financial services.

Across industries, enterprises are embracing modernization by leveraging hybrid cloud and AI to digitally transform with resiliency, performance, security, and compliance at the forefront, all while remaining focused on delivering value and driving more sustainable business practices. According to a recent study by IBM, 42% of CEOs surveyed pinpoint environmental sustainability as their top challenge over the next three years. At the same time, the study reports that CEOs are facing pressure to adopt generative AI while also weighing the data management needs to make AI successful. The increase in data processing required for AI workloads can present new challenges for organizations that are looking to reduce their GHG emissions. With more than 43% of CEOs surveyed already using generative AI to inform strategic decisions, organizations should prepare to balance executing high performance workloads with sustainability.

IBM today announced that it has received an additional Trusted Supplier accreditation from the Department of Defense (DoD) Defense Microelectronics Activity (DMEA) for delivery of embedded security services customized for a U.S.-based advanced microelectronics manufacturer. IBM Consulting's accredited security services were previously recognized with the prestigious James S. Cogswell Outstanding Industrial Security Achievement Award for overall security program excellence in 2022.

Microelectronics are used in most defense technology platforms—from mobile devices to computers and advanced weapons systems. This makes microelectronics supply chains critical to our national security and economic prosperity. However, they also represent one of the most complex defense-critical supply chains to secure because of their global reach and manufacturing. IBM Consulting's award-winning accredited security services takes this complexity into account, allowing for not only the identification, but also the remediation of microelectronics supply chain vulnerabilities.

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.