During the signing period, the IBM Consulting representative team visited the Great Wall Motors Technology Center and tried out Great Wall Motors’ new energy products. Chen Kedian, President of IBM Consulting Greater China, told Great Wall Motors: “Great Wall Motors is one of the world’s leading Chinese car companies. It has a rich and high-quality product line and strong competitiveness. As a catalyst for enterprise business transformation, IBM Consulting will use its deep industry knowledge in strategy, experience design, technology and operations to help it accelerate the realization of its process and digital transformation vision. . At the same time, I believe that relying on IBM Consulting’s global resources and best practical experience in global integrated operational excellence, we will have the opportunity to provide important assistance to Great Wall Motors in further promoting its globalization strategy and becoming an outstanding global automobile company.”

Great Wall Motors will accelerate the reconstruction of its global management system with “process and digital transformation” as the main line, quickly build a user-centered research, production and sales service system, and improve “process and digital transformation”. The results of this strategic cooperation will not only be used within Great Wall Motors, but will also be effective in the highly integrated cross-chain system, including physical logistics, information flow, capital flow, etc., covering supply chain, marketing, strategy, finance, and human resources. , quality and other business areas.

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After inquiries that the NorthPole chip is the successor of the TrueNorth chip that IBM used to “simulate the operation of the human brain” in 2014. The chip development is also led by Dharmendra Modha, the head of the TrueNorth chip.

▲Image source IBM

It is reported that in the traditional semiconductor industry, chips mainly follow the same basic architecture, and the processing unit and stored information are separated from each other. Although this architecture simplifies the chip design model, it also causes “Feng” because the transmission speed cannot keep up with the processing speed. “von Neumann Bottleneck”, and Dharmendra Modha believes that the human brain is the most energy-efficient processor currently known, and therefore continues to look for ways to digitally replicate the human brain.

The biggest difference between the NorthPole chip currently launched by IBM and traditional chips is the “chip built-in memory”. Without the “Von Neumann bottleneck”, the AI inference capabilities of the NorthPole chip are better than those of competing products on the market.

Although NorthPole uses a 12nm process, 22 billion transistors are placed on 800 square millimeters, and it has 256 cores. At 8-bit precision, each core can perform 2048 operations per cycle. If it is at 4-bit or 2-bit precision, , the number of operations can be doubled.

▲ PCIe card equipped with NorthPole, picture source IBM

In terms of specific architecture, NorthPole claims to blur the boundaries between computing and storage, which makes it easy to integrate NorthPole into the system and significantly reduces the load of the equipment equipped with the chip.

IBM Research tested NorthPole on the ResNet-50 model. Compared with competing GPU products based on the 12nm process, NorthPole’s energy efficiency in identifying frames per second is 25 times that of competing products, and whether it is in terms of latency or computing space requirements, The performance is better than all mainstream architectures on the market, even better than GPUs based on the 4nm process.

However, NorthPole’s advantage is also its weakness. NorthPole can only easily read local data information integrated into the chip. When reading external data, it has no computing speed advantage.

Dharmendra Modha claimed that while NorthPole cannot be used to host GPT-4, it should meet the model inference requirements required by many enterprises.

Currently, IBM Research is still studying the applicable fields of NorthPole. Many edge computing applications that require real-time processing of large amounts of data may be very suitable for NorthPole, such as autonomous driving, remote sensing communications and other fields, where NorthPole can be used.

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Tape storage is a mature technology that, although rarely used by the average consumer, is a long-term backup solution for many organizations due to its ability to store large amounts of data on relatively small media, such as IBM Such companies have been continuously developing the technology.

This week, IBM took another step in this area. The company’s new TS1170 drive can store 50TB of uncompressed data per cartridge and uses new JF media. With a 3:1 compression ratio, the capacity can be expanded to 150TB. This technology offers a 250 percent increase in capacity over previous-generation TS1160 drives and JE media, which offered 20TB uncompressed and 60TB compressed.

In addition, the TS1170 has a native data transfer rate of 400 MB/s and can reach 900 MB/s when processing compressed data. IBM’s new drives come in two flavors: the Model 70F has a dual-port 16 Gb Fiber Channel interface, and the Model 70S has a dual-port 12 Gb SAS interface. The Model 70F also supports stand-alone installation via a traditional fiber optic host accessory interface for cloud-based and open computing setups. Plus, the 3U form factor rack mount kit makes the Model 70F compatible with most 19-inch racks and can be mounted from the front or rear without tools. The device supports IBM’s TS4500 tape library and is RoHS-3 compliant.

It is noticed that other features of TS1170 include speed matching, high-resolution tape directory, channel calibration, dynamic adaptive equalization, capacity expansion, WORM storage (write once read many times), data compression, etc. Cryptographic functionality is implemented through the IBM Security Key Lifecycle Manager, which can be managed by a library or an application.

However, due to the newer cartridge format, the TS1170 is not compatible with the E or D-size cartridges used by previous generations of drives. Also, the drive does not currently support connection to the IBM TS7700, and the TS1170 can only be used by one system at a time.

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This study conducted a survey on 3,000 C-level executives (Note: Refers to chief positions, such as CEO CEO, Chief Financial Officer CFO, etc.) and 21,000 employees from 22 countries and regions in 28 countries and regions. The results showed that there was “no doubt” AI would bring changes to the workforce and businesses, but it was “not necessarily a bad thing”.

Executives surveyed estimate that 40 percent of their workforce will need to be reskilled with, or in conjunction with, AI within the next three years. Meanwhile, 87 percent of executives expect generative AI to “augment” rather than “replace” their roles.

At the same time, employees who successfully reskilled (with AI) to adapt to technology-driven job changes saw 15% higher earnings growth than their peers, and those who embraced AI more actively saw 36% higher earnings growth than their peers.

IBM concluded in the report that AI will not replace humans, but those who use AI will replace those who do not.

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IBM’s Watsonx platform, which helps organizations integrate AI into their workflows, provided some customers with early access to Meta’s release of Llama 2.

Since OpenAI launched ChatGPT late last year, there has been a lot of interest in this new technology from both consumers and businesses, and organizations are increasingly looking to bring AI into their workflows to improve efficiencies and bring advanced capabilities.

IBM said the release of Meta’s open-source AI models will be followed by additional software such as AI Tune-Up Studio, fact sheets and other generative AI models.

Llama 2, a commercial version of Meta’s open-source AI language model launched in July, is distributed by Microsoft’s Azure cloud service and competes directly with OpenAI’s ChatGPT, as well as Google’s Bard in the emerging generative AI market.

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The company’s general manager, Kumar Kare, told Reuters in an interview at the San Francisco Semiconductor Conference that the company is considering a chip called an “artificial intelligence unit” as part of its new “WatsonX” cloud. part of the service.

IBM hopes to provide users with more convenient services using generative artificial intelligence technology, which can better learn human text and language schemes than Watson, its first major artificial intelligence system launched more than a decade ago. .

It is said that one of the main obstacles currently facing the old “Watson” system is the high cost, and IBM hopes to use its own AI chip to solve this problem this time. Carre said that using its own chips can reduce the cost of cloud computing services because they are very energy efficient.

IBM unveiled its AI chip in October last year, but did not disclose details such as the manufacturer or how it will be used. The chip is manufactured by Samsung Electronics, which has a semiconductor research partnership with IBM and is being considered by IBM for Watson X, Carre said.

IBM has yet to say when its chips will be available to cloud customers, but Carre said the company already has thousands of prototypes in operation.

Other tech giants, such as Alphabet’s Google and Amazon, have already begun designing their own AI chips, it was previously reported.

But Carre said IBM wasn’t trying to design a direct replacement for Nvidia’s chips, which have a lead in training large-scale AI systems with vast amounts of data. Instead, IBM’s chip aims to be cost-effective in what industry insiders call inference, the process of using already trained AI systems for actual decision-making.

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In January 2019, Vista Equity Partners announced the privatization of Apptio at a cash price of US$38 per share, or approximately US$1.94 billion. The acquisition price announced by IBM this time is between US$4.5 billion and US$5 billion, which is more than twice the price five years ago.

Note: Founded in 2007, Apptio sells online services that help manage information technology budgets, forecasts, and analyses. The company says on its website that its products are used by a majority of the Fortune 100.

A deal between the two companies could close over the weekend, The Wall Street Journal reported, adding that it was unclear whether the purchase price included debt.

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Image source Pexels

Quantum computing is one of the hottest cutting-edge technologies at the moment, and quantum computers are hailed as the future of computing, capable of performing calculations that are difficult or impossible on conventional computers.

In May 2021, Google announced at the I/O Developers Conference that it plans to build a commercial quantum computer by 2029 that can perform large-scale calculations without errors. To fulfill the promise of quantum computing, Google has built a quantum AI campus in Santa Barbara, California. The company said it will develop quantum computers on the campus.

In February, Google announced that quantum computers had made a breakthrough in error correction, reaching a second milestone on the road to practical quantum computers.

Google is one of the few companies in the world that has set a specific release date for a quantum computer. Besides Google, IBM and Canadian quantum company D-Wave Systems are also working toward the same goal.

In December 2022, Research And Markets pointed out in the 2022 Global Quantum Computing Market Report that due to the need for secure communication and digitization, the emergence of advanced applications and the early adoption of quantum computers in some industries, investment in quantum computing technology has increased, and With the rise of numerous strategic partnerships and collaborations among major suppliers, the global quantum computing market will reach USD 9,563.1 million by 2031, growing at an annual rate of 28.6% during 2021-2031.

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Krishna said, “In the short term, you may have the same productivity, but your career does suffer.” He added that employees who work remotely don’t learn skills they would normally gain in face-to-face interactions, such as handling difficult customers.

Krishna, who has been president of IBM since 2020, has encouraged employees to return to the office three days a week, and Nickle LaMoreaux, IBM’s head of human resources, has said in 2021 that most employees will return to the office on a part-time basis after the outbreak is over. The company said most IBM employees are close to corporate or customer offices and often collaborate face-to-face.

Krishna’s comments come after IBM recently announced plans to slow or suspend hiring for positions that could be replaced by artificial intelligence. A company spokesman previously said the company has not suspended hiring across the board but is being more cautious in its hiring.

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IBM Chief Executive Arvind Krishna told Bloomberg on Monday that the company is putting a hiring moratorium on some 7,800 jobs that could be replaced by artificial intelligence (AI) in the next few years. In total, Arvind Krishna said about 26,000 employees work in these non-customer-facing roles.

He noted that within five years, 30 percent of non-customer-facing jobs could be replaced by artificial intelligence and automation. As a result, hiring in back-office functions such as human resources will be suspended or slowed down, Arvind Krishna said.

Image source Pexels

In November last year, Microsoft-backed OpenAI launched ChatGPT, a chatbot that has taken the world by storm. Since then, artificial intelligence has attracted widespread attention from people around the world. The PC maker told the Journal that layoffs could include not filling positions left vacant by attrition.

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