IBM and AMD have announced a collaboration to deploy AMD Instinct MI300X accelerators as a service on IBM Cloud. This offering, which is expected to be available in the first half of 2025, aims to enhance performance and power efficiency for Gen AI models such as and high-performance computing (HPC) applications for enterprise clients. This collaboration will also enable support for AMD Instinct MI300X accelerators within IBM's watsonx AI and data platform, as well as Red Hat Enterprise Linux AI inferencing support.

"As enterprises continue adopting larger AI models and datasets, it is critical that the accelerators within the system can process compute-intensive workloads with high performance and flexibility to scale," said Philip Guido, executive vice president and chief commercial officer, AMD. "AMD Instinct accelerators combined with AMD ROCm software offer wide support including IBM watsonx AI, Red Hat Enterprise Linux AI and Red Hat OpenShift AI platforms to build leading frameworks using these powerful open ecosystem tools. Our collaboration with IBM Cloud will aim to allow customers to execute and scale Gen AI inferencing without hindering cost, performance or efficiency."

Today at its inaugural IBM Quantum Developer Conference, IBM announced quantum hardware and software advancements to execute complex algorithms on IBM quantum computers with record levels of scale, speed, and accuracy.

IBM Quantum Heron, the company's most performant quantum processor to-date and available in IBM's global quantum data centers, can now leverage Qiskit to accurately run certain classes of quantum circuits with up to 5,000 two-qubit gate operations. Users can now use these capabilities to expand explorations in how quantum computers can tackle scientific problems across materials, chemistry, life sciences, high-energy physics, and more.

Alongside German Chancellor Olaf Scholz, senior European government officials and European-based global enterprises, IBM (NYSE: IBM) today unveiled the first IBM Quantum Data Center located outside of the United States. It is the company's second quantum data center in the world and marks a significant expansion of its fleet of advanced, utility-scale quantum systems available to global users via the cloud.

Now online in Ehningen, Germany, Europe's first IBM Quantum Data Center includes two new utility-scale, IBM Quantum Eagle-based systems, and will soon feature a new IBM Quantum Heron-based system. These systems are capable of performing computations beyond the brute-force simulation capabilities of classical computers.

IBM announced today the completion of its latest expansion of the IBM Quantum Data Center in Poughkeepsie, New York, which operates the highest number of available utility-scale quantum computers at a single location in the world. These systems are a part of the more than a dozen quantum computers offered to global clients via the IBM cloud.

To advance its mission of bringing useful quantum computing to the world, IBM has heavily invested in deploying advanced quantum hardware architectures. First introduced late last year, the IBM Quantum Heron processor has now been deployed in IBM's global Quantum Data Center in Poughkeepsie.

The Biden-Harris Administration announced today that Intel Corporation has been awarded up to $3 billion in direct funding under the CHIPS and Science Act for the Secure Enclave program. The program is designed to expand the trusted manufacturing of leading-edge semiconductors for the U.S. government.

The Secure Enclave program builds on previous projects between Intel and the Department of Defense (DoD) such as Rapid Assured Microelectronics Prototypes - Commercial (RAMP-C) and State-of-the-Art Heterogeneous Integration Prototype (SHIP). As the only American company that both designs and manufactures leading-edge logic chips, Intel will help secure the domestic chip supply chain and collaborate with the DoD to help enhance the resilience of U.S. technological systems by advancing secure, cutting-edge solutions.

IBM and Intel announced a global collaboration to deploy Intel Gaudi 3 AI accelerators as a service on IBM Cloud. This offering, which is expected to be available in early 2025, aims to help more cost-effectively scale enterprise AI and drive innovation underpinned with security and resiliency. This collaboration will also enable support for Gaudi 3 within IBM's watsonx AI and data platform. IBM Cloud is the first cloud service provider (CSP) to adopt Gaudi 3, and the offering will be available for both hybrid and on-premise environments.

"Unlocking the full potential of AI requires an open and collaborative ecosystem that provides customers with choice and accessible solutions. By integrating Gaudi 3 AI accelerators and Xeon CPUs with IBM Cloud, we are creating new AI capabilities and meeting the demand for affordable, secure and innovative AI computing solutions," said Justin Hotard, Intel executive vice president and general manager of the Data Center and AI Group.

The 63rd edition of the TOP500 reveals that Frontier has once again claimed the top spot, despite no longer being the only exascale machine on the list. Additionally, a new system has found its way into the Top 10.

The Frontier system at Oak Ridge National Laboratory in Tennessee, USA remains the most powerful system on the list with an HPL score of 1.206 EFlop/s. The system has a total of 8,699,904 combined CPU and GPU cores, an HPE Cray EX architecture that combines 3rd Gen AMD EPYC CPUs optimized for HPC and AI with AMD Instinct MI250X accelerators, and it relies on Cray's Slingshot 11 network for data transfer. On top of that, this machine has an impressive power efficiency rating of 52.93 GFlops/Watt - putting Frontier at the No. 13 spot on the GREEN500.

IBM applauds the EU Parliament's decision to adopt the EU AI Act, a significant milestone in establishing responsible AI regulation in the European Union. The EU AI Act provides a much-needed framework for ensuring transparency, accountability, and human oversight in developing and deploying AI technologies. While important work must be done to ensure the Act is successfully implemented, IBM believes the regulation will foster trust and confidence in AI systems while promoting innovation and competitiveness.

"I commend the EU for its leadership in passing comprehensive, smart AI legislation. The risk-based approach aligns with IBM's commitment to ethical AI practices and will contribute to building open and trustworthy AI ecosystems," said Christina Montgomery, Vice President and Chief Privacy & Trust Officer at IBM. "IBM stands ready to lend our technology and expertise - including our watsonx.governance product - to help our clients and other stakeholders comply with the EU AI Act and upcoming legislation worldwide so we can all unlock the incredible potential of responsible AI." For more information, visit watsonx.governance and ibm.com/consulting/ai-governance.

IBM has announced the official opening of the new IBM X-Force Cyber Range in Washington, DC. The range includes new custom training exercises specifically designed to help U.S. federal agencies, their suppliers and critical infrastructure organizations more effectively respond to persistent and disruptive cyberattacks, and threats posed by AI. The state-of-the-art facility is designed to help everyone from legal and mission-critical leaders, to the C-Suite and technical security leaders prepare for a real-world cyber incident. According to IBM's 2023 Cost of a Data Breach report the global average cost of a data breach reached $4.45 million, with the US facing the highest breach costs across all regions. Organizations that formed an incident response (IR) team and tested their IR plan experienced faster incident response times and lower costs than organizations that did neither. In fact, the report found that high levels of IR planning and testing saved industry and government nearly $1.5 million in breach costs and 54 days from the data breach lifecycle.

"From national security threats to supply chain disruptions impacting the goods and services we rely on every day, cyberattacks on government and critical infrastructure can have ramifications that go far beyond the balance sheet," said Alice Fakir, Partner, Lead of Cybersecurity Services, US Federal Market for IBM Consulting. "The elite and highly customizable cyber response training we provide at our new DC range helps organizations and federal agencies better defend against existing and emerging threats, and also addresses federal mandates like those in the Biden Administration's Executive Order 14028 focused on improving the nation's cybersecurity."

IBM announced the availability of the popular open-source Mixtral-8x7B large language model (LLM), developed by Mistral AI, on its watsonx AI and data platform, as it continues to expand capabilities to help clients innovate with IBM's own foundation models and those from a range of open-source providers. IBM offers an optimized version of Mixtral-8x7B that, in internal testing, was able to increase throughput—or the amount of data that can be processed in a given time period—by 50 percent when compared to the regular model. This could potentially cut latency by 35-75 percent, depending on batch size—speeding time to insights. This is achieved through a process called quantization, which reduces model size and memory requirements for LLMs and, in turn, can speed up processing to help lower costs and energy consumption.

The addition of Mixtral-8x7B expands IBM's open, multi-model strategy to meet clients where they are and give them choice and flexibility to scale enterprise AI solutions across their businesses. Through decades-long AI research and development, open collaboration with Meta and Hugging Face, and partnerships with model leaders, IBM is expanding its watsonx.ai model catalog and bringing in new capabilities, languages, and modalities. IBM's enterprise-ready foundation model choices and its watsonx AI and data platform can empower clients to use generative AI to gain new insights and efficiencies, and create new business models based on principles of trust. IBM enables clients to select the right model for the right use cases and price-performance goals for targeted business domains like finance.

Cyberattacks are an existential risk, with 89% of organizations ranking ransomware as one of the top five threats to their viability, according to a November 2023 report from TechTarget's Enterprise Strategy Group, a leading analyst firm. And this is just one of many risks to corporate data—insider threats, data exfiltration, hardware failures, and natural disasters also pose significant danger. Moreover, as the just-released 2024 IBM X-Force Threat Intelligence Index states, as the generative AI market becomes more established, it could trigger the maturity of AI as an attack surface, mobilizing even further investment in new tools from cybercriminals. The report notes that enterprises should also recognize that their existing underlying infrastructure is a gateway to their AI models that doesn't require novel tactics from attackers to target.

To help clients counter these threats with earlier and more accurate detection, we're announcing new AI-enhanced versions of the IBM FlashCore Module technology available inside new IBM Storage FlashSystem products and a new version of IBM Storage Defender software to help organizations improve their ability to detect and respond to ransomware and other cyberattacks that threaten their data. The newly available fourth generation of FlashCore Module (FCM) technology enables artificial intelligence capabilities within the IBM Storage FlashSystem family. FCM works with Storage Defender to provide end-to-end data resilience across primary and secondary workloads with AI-powered sensors designed for earlier notification of cyber threats to help enterprises recover faster.

IBM has announced IBM LinuxONE 4 Express, extending the latest performance, security and AI capabilities of LinuxONE to small and medium sized businesses and within new data center environments. The pre-configured rack mount system is designed to offer cost savings and to remove client guess work when spinning up workloads quickly and getting started with the platform to address new and traditional use cases such as digital assets, medical imaging with AI, and workload consolidation.

Building an integrated hybrid cloud strategy for today and years to come
As businesses move their products and services online quickly, oftentimes, they are left with a hybrid cloud environment created by default, with siloed stacks that are not conducive to alignment across businesses or the introduction of AI. In a recent IBM IBV survey, 84% of executives asked acknowledged their enterprise struggles in eliminating silo-to-silo handoffs. And 78% of responding executives said that an inadequate operating model impedes successful adoption of their multicloud platform. With the pressure to accelerate and scale the impact of data and AI across the enterprise - and improve business outcomes - another approach that organizations can take is to more carefully identify which workloads should be on-premises vs in the cloud.

It's been one year since IBM integrated Red Hat storage product roadmaps and teams into IBM Storage. In that time, organizations have been faced with unprecedented data challenges to scale AI due to the rapid growth of data in more locations and formats, but with poorer quality. Helping clients combat this problem has meant modernizing their infrastructure with cutting-edge solutions as a part of their digital transformations. Largely, this involves delivering consistent application and data storage across on-premises and cloud environments. Also, crucially, this includes helping clients adopt cloud-native architectures to realize the benefits of public cloud like cost, speed, and elasticity. Formerly Red Hat Ceph—now IBM Storage Ceph—a state-of-the-art open-source software-defined storage platform, is a keystone in this effort.

Software-defined storage (SDS) has emerged as a transformative force when it comes to data management, offering a host of advantages over traditional legacy storage arrays including extreme flexibility and scalability that are well-suited to handle modern uses cases like generative AI. With IBM Storage Ceph, storage resources are abstracted from the underlying hardware, allowing for dynamic allocation and efficient utilization of data storage. This flexibility not only simplifies management but also enhances agility in adapting to evolving business needs and scaling compute and capacity as new workloads are introduced. This self-healing and self-managing platform is designed to deliver unified file, block, and object storage services at scale on industry standard hardware. Unified storage helps provide clients a bridge from legacy applications running on independent file or block storage to a common platform that includes those and object storage in a single appliance.

IBM has announced (on January 29) that Korea Quantum Computing (KQC) has engaged IBM to offer IBM's most advanced AI software and infrastructure, as well as quantum computing services. KQC's ecosystem of users will have access to IBM's full stack solution for AI, including watsonx, an AI and data platform to train, tune and deploy advanced AI models and software for enterprises. KQC is also expanding its quantum computing collaboration with IBM. Having operated as an IBM Quantum Innovation Center since 2022, KQC will continue to offer access to IBM's global fleet of utility-scale quantum systems over the cloud. Additionally, IBM and KQC plan to deploy an IBM Quantum System Two on-site at KQC in Busan, South Korea by 2028.

"We are excited to work with KQC to deploy AI and quantum systems to drive innovation across Korean industries. With this engagement, KQC clients will have the ability to train, fine-tune, and deploy advanced AI models, using IBM watsonx and advanced AI infrastructure. Additionally, by having the opportunity to access IBM quantum systems over the cloud, today—and a next-generation quantum system in the coming years—KQC members will be able to combine the power of AI and quantum to develop new applications to address their industries' toughest problems," said Darío Gil, IBM Senior Vice President and Director of Research. This collaboration includes an investment in infrastructure to support the development and deployment of generative AI. Plans for the AI-optimized infrastructure includes advanced GPUs and IBM's Artificial Intelligence Unit (AIU), managed with Red Hat OpenShift to provide a cloud-native environment. Together, the GPU system and AIU combination is being engineered to offer members state-of-the-art hardware to power AI research and business opportunities.

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.