Global Machine Learning Chip Market Expected to Grow as AI Use Increases

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According to a report published by Allied Market Research, the global machine learning chip market was valued at $2.4 Billion in 2017 and is expected to reach about $37.8 Billion by 2025 while growing at a compound annual growth rate (CAGR) of 40.8% during the forecast periods. The increasing use of artificial intelligence (AI) and machine learning in numerous applications are one of the main factors that drive the market. Based on chip type, the market is segmented into GPU, ASIC, FPGA, CPU, and others. The ASIC segment is expected to surpass the GPU segment in future, in terms of revenue. Based on industry vertical, the market can be segmented into media & advertising, BFSI, IT & telecom, retail, healthcare, automotive & transportation, and others.

"In 2017, the GPU segment dominated the global machine learning chip market in terms of revenue, in the chip type category. However, the others segment is expected to grow at a highest CAGR during the forecast period. Based on technology, the system-on-chip segment is anticipated to dominate the market throughout the forecast period (2018‐2025). Moreover, based on industry vertical, the BFSI segment dominates the overall machine learning chip market. The machine learning chip market signifies a promising future for the technological industry. The current business scenario has witnessed an increase in the adoption of this technology, particularly in the developing regions. The companies have been adopting innovative techniques to provide customers with advanced and innovated product offerings," said Akshay Jadhav, lead analyst, Semiconductor & Electronics at AMR.

Squire Mining Ltd is also listed on the Canadian Securities Exchange under the ticker SQR. Squire is very pleased to announce Gaonchips as our design house and Samsung Electronics as our chosen foundry partner to manufacture our ASIC chips in Korea. On August 1, 2018, we announced that Squire had engaged an undisclosed arm's length design fabrication firm to perform the back-end design, testing and initial mass production run of our next generation ASIC chip for mining Bitcoin.  We are delighted that we are now able to disclose Gaonchips as our design house and Samsung Electronics as our foundry partner.

Our front-end development team of engineers and programmers is currently working with Gaonchips to develop the Company's initial ASIC chip to mine Bitcoin and other associated cryptocurrencies using a wafer process technology that, once confirmed and accepted as meeting certain prescribed specifications and criteria, will form the basis of an initial mass production test run of the ASIC chip by Samsung Electronics.

In addition, once a working FPGA prototype of our initial ASIC chip is developed, we will be able to aggressively accelerate the design and development of our initial mining rig for Bitcoin and associated cryptocurrencies. We anticipate completing a FPGA prototype of our initial ASIC chip by September 30, 2018."

Nvidia Corporation, in 1999, sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. At GTC Japan, in the heart of the robotics revolution, Nvidia Corporation recently introduced the NVIDIA DRIVE AGX Xavier Developer Kit, a platform for building autonomous driving systems. This open, scalable software and hardware solution enables companies to seamlessly develop and test customized autonomous driving technology, streamlining production. The developer kit includes a DRIVE AGX Xavier car computer, along with a vehicle harness to connect the platform to the car, international power supply, camera sensor and other accessories. NVIDIA DRIVE AGX is part of the NVIDIA AGX platform for autonomous machines, powering robots, medical devices and self-driving cars. The NVIDIA DRIVE AGX Xavier Developer Kit platform is scalable, enabling manufacturers to streamline development whether on DRIVE AGX Xavier with a single Xavier system-on-a-chip or DRIVE AGX Pegasus, which integrates dual Xavier SoCs and dual next-generation GPUs. "After several years of working on an autonomous driving computer, the DRIVE AGX Xavier Developer Kit is now available to order," said NVIDIA founder and Chief Executive Officer Jensen Huang on stage at GTC Japan. "The development of autonomous vehicles is now turbocharged."

Qualcomm Inc. invents breakthrough technologies that transform how the world connects, computes and communicates. China Mobile Research Institute, China mobile IoT (CMIoT) Company Limited, a wholly-owned subsidiary of China Mobile, and Qualcomm Technologies, Inc., a subsidiary of Qualcomm Incorporated, recently announced new roadside units (RSUs) for 3rd generation partnership project (3GPP) Release 14 LTE-V2X direct communication (PC5) based on the Qualcommp 9150 C-V2X chipset solution. Developed by CMIoT and China Mobile Research Institute, the new RSUs will be showcased at the China Mobile booth during the WIoT 2018 expo from September 15-18th.  The cooperation between China Mobile Research Institute, CMIoT and Qualcomm Technologies, Inc. marks the extension of the three companies' long-term, strategic relationship to the automobile and transportation sector, in which the companies are working together to explore new technologies and applications for intelligent vehicles, while driving the development and maturity of the connected vehicle industry in China.

Advanced Micro Devices Inc., for more than 45 years, has driven innovation in high-performance computing, graphics and visualization technologies ― the building blocks for gaming, immersive platforms and the datacenter. AMD recently announced a reimagined family of AMD Athlon desktop processors with Radeon Vega graphics that have been optimized for everyday PC users: the AMD Athlon 200GE, Athlon 220GE, and Athlon 240GE processor. Combining the high-performance x86 "Zen"3 core and "Vega"3 graphics architectures in a versatile System-on-Chip (SOC) design, the Athlon desktop processors offer responsive and reliable computing for a wide range of experiences, from day-to-day needs like web browsing and video streaming through more advanced workloads like high-definition PC gaming. Complementing this news, AMD announced the availability of the commercial-grade Athlon PRO 200GE desktop processor, along with three 2nd Gen Ryzen PRO desktop processor models for the commercial, enterprise, and the public sector: the Ryzen 7 PRO 2700X, Ryzen 7 PRO 2700, and Ryzen 5 PRO 2600 processors. With these new introductions, AMD now offers a top-to-bottom line-up of professional-grade computing solutions for experiences that range from premium content creation to advanced multitasking and office productivity.

Micron Technology Inc. is a world leader in innovative memory solutions. Micron recently announced volume production on its 8Gb GDDR6 memory. Built on experience and execution for several generations of GDDR memory, GDDR6 - Micron's fastest and most powerful graphics memory designed in Micron's Munich Development Center - is optimized for a variety of applications that require high performance memory, including artificial intelligence (AI), networking, automotive and graphics processing units (GPUs). Additionally, Micron has worked with core ecosystem partners to ramp GDDR6 documentation and interoperability, enabling faster time to market for designs. Targeting up to 64GB/s in one package, GDDR6 brings a significant improvement over the fastest available GDDR5. This unprecedented level of single-chip performance, using proven, industry-standard BGA packaging provides designers a powerful, cost-efficient and low-risk solution using the most scalable, high-speed discrete memory available to the market. "Micron is a pioneer in developing advanced high bandwidth memory solutions and continues that leadership with GDDR6. Micron demonstrated this leadership by recently achieving throughput up to 20 Gb/s on our GDDR6 solutions," said Andreas Schlapka, Director, Compute Networking Business Unit, Micron. "In addition to performance increases, Micron has developed a deep partner ecosystem to enable rapid creation of GDDR6 designs, enabling faster time to market for customers looking to leverage this powerful new memory technology."

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