Google has accelerate its pace on the Pixel series, as the tech giant launched Google Pixel 9 on August 13th, which is two months ahead of its schedule.

Though the Tensor G4 processor in the model is manufactured with Samsung’s 4nm, according to a report citing sources by Commercial Times, Google is said to be switching to TSMC’s 3nm process with its next-generation Tensor G5, coupling with the foundry giant’s InFO-POP packaging.

Google’s Pixel 8 is said to be the first AI-centric smartphone, featuring a range of AI functionalities. Yet, Commercial Times’ report has indicated that, after years of close collaboration, Google will part ways with Samsung and have TSMC produce the Tensor G5 chip.

The chip is also said to adopt TSMC’s advanced InFO-POP packaging. Google’s move, according to the report, demonstrates its ambition to expand its leadership in software to hardware, as it eyes for the opportunities of edge AI.

Industry sources cited by the report further point out that in the fourth quarter, both Qualcomm and MediaTek will launch flagship-level chips, while Apple’s A18 will also be produced using TSMC’s N3 process.

All these developments have hinted at tech giants’ ambition on the massive potential of the edge AI market. Now, Google would be the latest competitor to join the race.

Meanwhile, though Pixel’s market share is relatively low, the Android ecosystem, with its 70% market share in smartphones and billions of users, offers significant potential. Google is said to be following a path similar to Apple’s, achieving complete integration of hardware and software to maximize this potential.

Google’s self-developed chip extends beyond mobile devices, with its TPU (Tensor Processing Unit) now in their seventh generation. Additionally, Google’s Arm-based CPUs are being developed in partnership with TSMC.

Read more

• [News] Breaking Apple’s Monopoly – TSMC’s InFO Packaging Reportedly Adds Google Chips
• [News] TSMC Pushes for FOPLP Mass Production by 2027, Reportedly Eyeing on Innolux’s Plant

(Photo credit: Google)

According to TrendForce, the global quantum computing market was valued at US$470 million in 2021, an increase of 16.7% compared to 2020. This market is mainly led by China and the United States, driving global quantum computing and its technological progress, especially in upper-layer software. In terms of algorithmic speed, small-scale problems have been put to the test through experimentation. The market is expected to reach US$580 million in 2022, with an annual growth rate of approximately 18.8%, and current growth rate expanding every year until 2027.

According to TrendForce, as stated in the Chinese government’s plan for software and information technology services, its quantum technology policy will be further implemented from a national level to departments including national defense, industry, and technology and more targeted policies will be released through tiered departmental levels such as for AI, quantum information technology, biotechnology, semiconductors, and autonomous systems. To this end, the Chinese government is establishing relevant laboratories in Beijing, Shanghai, and Hefei to promote the rapid development of quantum technology and quantum computing cloud platforms.

When China launched its “Five-Year Plan” in 2006 to promote economic and industrial development, it also focused on the development of quantum science and technological breakthroughs, as well as the deeply integrated development and application of quantum computing in emerging technologies such as AI, edge computing, big data, IoT, and cloud such as advanced space quantum communication technology and quantum computing combined with AI/ML, IoT, and cloud, providing assistance to the Chinese Academy of Sciences’ quantum satellites, the University of Science and Technology of China’s quantum computer, and other quantum processors to achieve breakthroughs in technology and functional characteristics. Therefore, the cumulative investment in China’s quantum field is estimated to reach US$15 billion in 2022.

Main applications of China’s quantum computing market

Considering the immense size, extremely harsh operating environment, and high price of quantum computers, quantum computing applications are rapidly developing towards cloud platforms. Therefore, research on quantum computers primarily focus on four types of applications: simulation, optimization, cryptography, and machine learning. “Simulation” is most used in processes that occur in nature such as weather forecasting, mid- and long-term climate deductions, and polar climate change. It is also widely used in fluid mechanics, drug discovery, battery design, and high-frequency trading, derivatives, and options pricing in the financial industry.

“Optimization” is the use of quantum algorithms to determine the best solution among a set of feasible options and is mostly used for risk management in traffic arteries, logistics, self-driving navigation systems, and financial investment portfolios. “Machine learning” is used to identify patterns in data and statistics, enhance the training of machine learning algorithms, accelerate AI development, and introduced to self-driving cars and financial systems to prevent fraud and money laundering.

As enumerated above, the scope of quantum computing applications is gradually expanding, covering fields including supply chain, finance, transportation, logistics, pharmaceuticals, chemicals, automobiles, aviation, energy, and meteorology. Sectors such as pharmaceuticals, chemicals, and new materials use quantum operations to analogize molecular properties, directly analyze and obtain large molecular properties through a computerized digital format, shorten the time for theoretical verification, and thereby accelerating drug research and development and the development of new materials.

In the automotive field, in order to accelerate the promotion of electrification strategies, major carmakers have applied quantum computing to chemical analogies and are committed to developing batteries with better performance. In the aerospace field, quantum computing is used to solve some of the most difficult challenges facing the aviation industry, from basic materials, product research and development, machine learning optimization, to complex system optimization, and are even changing the way aircraft are made and fly.

（Image credit: Pixabay）

According to TrendForce research, the global high-performance computing market reached approximately US$36.8 billion in 2021, growing 7.1% compared to 2020. The United States is still the largest market for high-performance computing in the world with an approximate 48% share, followed by China and Europe, with a combined share of approximately 35%. Segregated into application markets, high-performance computing is most widely used in scientific research, national defense/government affairs, and commercial applications, with market shares of 15%, 25%, and 50%, respectively. In terms of product type, software (including services) and hardware account for 58% and 42% of the market, respectively.

Since high-performance computing can support data analysis, machine learning (ML), network security, scientific research, etc., it plays a key role in military fields such as nuclear warhead design and missile explosion simulations. Therefore, there are relatively few players occupying key positions in the value chain. Primary suppliers are Fujitsu, HPE, Lenovo, and IBM. These four manufacturers account for a market share of approximately 73.5% globally.

In addition, the continuous development of smart cities, smart transportation, self-driving cars, the metaverse, and space exploration and travel programs launched by Space X, Blue Origin, and Virgin Galactic will increase the demand for high-performance computing focused on R&D and testing along the two major axes of simulation and big data processing and analysis. The global high-performance computing market is expected to reach US$39.7 billion in 2022, with a growth rate of 7.3%. The CAGR (Compound Annual Growth Rate) of the global high-performance computing market from 2022 to 2027 will be 7.4%.

In view of this, the global high-performance computing market is growing steadily but not by much. The reason is that many of the aforementioned commercial application terminals are still in the growth stage, so high-performance computing technologies and solutions adopted by cloud service providers are limited to local deployment This enables HPC servers to scale on-premises or in the cloud and provides dedicated storage systems and software to drive innovation, thereby accelerating the development of hybrid HPC solutions.

In terms of end-use, the high-performance computing market is segmented into BFSI (Banking, Financial Services and Insurance), manufacturing, healthcare, retail, transportation, gaming, entertainment media, education & research, and government & defense. High-performance computing’s highest revenue share was derived from the government and defense market in 2021, primarily due to related agencies actively adopting cutting-edge and advanced IT solutions to improve computing efficiency. At present, government agencies in the United States, China, Japan, South Korea, as well as European countries have successively adopted high-performance computing systems to support digitization projects and contribute to economic development. Therefore, in 2021, the global scale of the on-premise high-performance computing server market was US$14.8 billion, of which Supercomputer, Divisional, Departmental, and Workgroup accounted for 46.6%, 18.9%, 25%, and 9.5% of the market, respectively. The global on-premise high-performance computing server market in 2022 is expected to reach US$16.7 billion with Supercomputer and Divisional growing by 11.5% and 15.2% compared with 2021.

（Image credit: Pixabay）