IBM’s Record-Breaking Chip: Innovative Technique Packs 100 Billion Transistors

IBM's new chip technology

A groundbreaking achievement has been marked in the realm of micro-computer technology with IBM’s innovative prototype chip. This compact chip, roughly the size of a fingernail, utilizes advanced 3D architecture to house about 100 billion transistors—almost double the transistor count of previously leading-edge chips.

IBM’s 10mm x 15mm chip is touted to be 70% more energy efficient and 50% more powerful than the current top-performing chips, with commercial applications expected within the next decade.

Traditionally, chip manufacturing process names have reflected the size of transistors in nanometers (e.g., 10nm or 5nm), with smaller sizes being advantageous for faster computations and lower energy consumption.

However, industry dynamics have evolved. According to IBM’s Fu Eimei, the nomenclature is now increasingly disconnected from actual physical dimensions and has become a marketing tool.

Although IBM refers to this new technology as “0.7 nanometers,” there is no assertion that individual transistors are that size. The true innovation—developed over 15 years—lies in the technique of stacking two silicon layers and creating electrical connections without overheating, all while ensuring mass manufacturability.

“Our industry has been scaling transistors along the X and Y axes for more than 60 years. This marks the first instance of enabling scaling in the Z direction,” Bu emphasizes.

While IBM has refrained from detailing the exact dimensions of this new technology, indications suggest it might involve two layers from its previously announced 2nm chip technology from 2021, which is already in production across renowned chip foundries worldwide. This advancement is expected to impact devices like the next Apple iPhone.

Given the immense complexity and expenses tied to chip design and production, the industry is collaborating on a technology roadmap led by a non-profit organization, aiming for coordinated advancements and market introductions by relevant stakeholders, including the Interuniversity Microelectronics Center. Although IBM’s 0.7nm technology remains untested in commercial environments, it is a crucial step forward in global chip manufacturing, likely prompting others to follow suit.

Bu foresees that the 0.7nm chips will find their way into consumer electronics within a decade, yet emphasizes that challenges related to quantum effects, current leakage, and additional issues arising at such diminutive scales will need to be addressed going forward. Some modern chips are now only 15 silicon atoms thick.

Owen Guy, a researcher from Swansea University, mentions that other chip manufacturers also claim similar high transistor densities, relying on multiple silicon layers separated by thick substrates. However, this method deviates from true 3D design, leading to complications in inter-layer connectivity and coolant distribution. “There’s considerable misunderstanding in the industry currently,” he notes.

The focus on downsizing transistors has reached a point where further reductions do not necessarily translate to smaller laptops or smartphones. The impetus to miniaturize components is primarily aimed at enhancing energy efficiency and cooling, extending battery life in mobile devices while decreasing power usage in data centers.

A significant hurdle now lies in integrating IBM’s new chip technology into global supply chains and consumer devices. Chips are produced in large quantities on 300mm silicon wafers, each containing trillions of transistors that are ultimately cut into individual components. These intricate machines conduct thousands of processes on the wafer, building layers of circuits, insulators, and various chemicals that are mere nanometers in thickness. Implementing unproven features, like IBM’s dual-layer system, poses considerable challenges.

Some manufacturers are striving to achieve even smaller 0.2nm technology, where circuit elements could be just one atom wide. “The ultimate boundary is one electron and one atom,” suggests Guy. “By around 2050, quantum technology may be essential for the next significant leap in chip innovation.”

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Source: www.newscientist.com

IBM’s $2.3 billion acquisition of StreamSets and WebMethods from Software AG

IBM is distributing two data integration assets from Germany-based enterprise software company Software AG for 2.13 billion euros ($2.3 billion).

The all-cash transaction will see IBM take ownership. stream set Data integration platform acquired by Software AG just last year and WebMethods, acquired by Software AG for more than $500 million back in 2007.

It’s worth noting that Software AG itself was acquired by Silver Lake earlier this year, obtaining majority ownership of 63% before raising the investment amount to $2.4 billion, 85% or more during September. Silver Lake today just bought it. It owns 93% of Software AG, which will soon be delisted from the public market.

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For IBM, the purchase of Software AG’s Integration Platform-as-a-Service (IPAAS) toolset fits into a broader commitment to hybrid cloud that the company has strengthened over the years with a series of major acquisitions. Includes the company’s $34 acquisition in 2018 of Red Hat for $1 billion and most recently its $4.6 billion acquisition of Apptio in June.

Although cloud computing offers many benefits to enterprises, vendor lock-in and aversion to a single cloud environment are increasing, leading to a more hybrid approach, one that relies on local on-premises infrastructure for security and low-latency purposes. A potentially dependent approach is required. Leverage one or more public cloud providers for specific resources as needed.

However, this means you need to manage and process data that may be stored in a variety of applications, both on-premises and across multiple private or public clouds. And this is where data integration systems come in, allowing companies to build pipelines that can pool data regardless of its location or format.

And this is effectively what IBM is buying with StreamSets and WebMethods: technology that spans the various layers that make up application and data integration, including API management, which WebMethods specifically provides.

Data is also the foundation of AI, and like almost every business today, IBM has been upping its AI game lately. In fact, this year the company introduced a new data science platform called Watsonx. It provides tools to build and deploy AI and manage all your data sources in one platform. And this is where IBM’s two acquisitions will come into play.

“Together with IBM’s Watsonx AI and data platform and its application modernization, data fabric, and IT automation products, StreamSets and webMethods help clients realize the full potential of their applications and data.” IBM said. Rob Thomas, Senior Vice President and Chief Commercial Officer of Software, said in a press release.

Source: techcrunch.com