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The Financial Supervisory Service has reportedly demanded measures to prevent a recurrence of the cryptocurrency exchange outages caused by the recent martial law situation and is checking on compensation for user damages. According to industry sources on the 6th, the Financial Supervisory Service is demanding measures to prevent recurrence of the app outage issues at cryptocurrency exchanges and plans to verify whether exchanges are compensating users for damages. It is also known to be checking if the Business Continuity Plan (BCP) is well established. Meanwhile, on the 3rd, as martial law was declared, domestic cryptocurrency exchanges such as Upbit and Bithumb experienced delays in app access and trading.

Photo provided by EMC As interest in artificial intelligence (AI) continues to rise, there is a growing trend of cryptocurrency projects attempting to combine AI with blockchain. The most representative type of AI-related cryptocurrency project is the decentralized graphics processing unit (GPU) rental project. Decentralized GPUs are a type of decentralized physical infrastructure network (DePIN), which involves uploading unused computing power to the blockchain and renting it out to developers or startups in need of computing power. EdgeMatrixChain (EMC) is also one of the DePIN projects that provides GPU rental services. However, it is distinguished from other GPU rental DePINs by its ability to offer DeFi and creative platforms using layer 1 blockchain. In August, EMC raised a total of $20 million from venture capital firms such as P2 Ventures and Amber Group for the development of its layer 1 blockchain. Why are decentralized GPUs needed? Graphics Processing Unit. /Photo provided by EMC Decentralized GPU projects have emerged as a solution to the GPU acquisition problem, which is currently the most important issue in the AI industry. Since the emergence of Open AI's Chat GPT, everyone has jumped into AI development, leading to a surge in GPU demand while supply remains insufficient. As a result, high-performance GPUs used in AI development are currently priced at the level of a car. While big tech companies like Meta and Microsoft have no problem purchasing expensive GPUs, startups and individual developers face financial difficulties. The demand for GPUs can be seen in NVIDIA's third-quarter report, which virtually monopolizes the GPU market. NVIDIA reported that its third-quarter revenue and net profit surged by 94% and 106% year-on-year, respectively, to $33.16 billion and $19.39 billion, exceeding market expectations. Decentralized GPU DePINs have become an alternative that can significantly reduce the cost of GPU computing resources, addressing these issues. Binance highlighted in its first-half report this year that "as interest in AI has increased, the cost of computing resources such as GPUs has risen," and "decentralized GPU DePINs have emerged as a cost-effective alternative." There is also hidden demand for decentralized GPUs from Chinese AI developers sanctioned by the United States. According to the Wall Street Journal, Chinese AI developers have turned to decentralized GPUs as an alternative after being blocked by Amazon Web Services. The media cited EMC as an example, noting that decentralized GPUs, with features such as anonymity through smart contracts, are becoming an attractive option for Chinese AI developers. EMC, a one-stop platform for AI Alex Go, founder of EMC, explaining the NVIDIA H100 cluster SuperPOD at Token 2049. /Photo provided by EMC As previously explained, EMC is a project that rents out the computing power of GPUs. To this end, EMC currently has 274 nodes on its blockchain and has registered over 3,000 GPUs. The GPUs provided by EMC include NVIDIA A100, GeForce RTX 4090, and GeForce RTX 3090. Among them, the cluster 'SuperPOD' made by assembling 1,024 'NVIDIA H100' GPUs is considered EMC's strength. Previously, EMC participated in the 'Singapore Token 2049' conference and demonstrated a real-time demo of SuperPOD. EMC not only rents out GPUs but also provides users with various AI-related services. For example, it offers a platform business that allows users to develop and contentize AI more easily. The EMC AI platform, EMC HUB, includes ▲ AI agent Jarvis Bot that can generate various content, ▲ creative transaction application Omnimuse, and ▲ 3D content creation application Jojo World. Additionally, EMC helps build networks suitable for AI use. Specifically, it has implemented low latency and high transaction throughput in the network by introducing technologies such as smart routing and data caching. EMC stated, "Our goal is to become a platform that encompasses almost everything in the AI field," and "developers will be able to smoothly test and launch their AI models on the EMC network." Moreover, EMC is also providing DeFi services using GPUs. Currently, anyone can purchase the computing power of NVIDIA H100 GPUs in the form of tokens within EMC, and by staking them through EMC's DeFi, they can earn an additional income of about 2.7% to 7.1% annually depending on the period. Currently, about 2.6 million EMC tokens are staked in this DeFi service. Photo captured from CoinMarketCap According to CoinMarketCap, EMC tokens are trading at $0.079 as of 10 a.m. on the 6th, down 4.91% from the previous day. The circulating EMC tokens amount to about 30 million, accounting for 3% of the total supply (about 1 billion). The market capitalization is approximately $2.37 million. Meanwhile, EMC is generating an annual income of about $15 million. Although the business scale is not yet large, the outlook for decentralized GPU projects is generally positive. Data analysis firm Nansen, in a report published with Metastreet, predicted that "considering the DeFi income, tokenomics, and GPU rental revenue of GPU rental services, the total revenue of these services could surge by at least 30% to a maximum of 200%." Hankyung.com Newsroom

Photo provided by EMC As interest in artificial intelligence (AI) continues to rise, there is a growing trend of cryptocurrency projects attempting to combine AI with blockchain. Among AI-related cryptocurrency projects, the most representative type is the decentralized graphics processing unit (GPU) project that rents out GPUs. Decentralized GPUs are a type of decentralized physical infrastructure network (DePIN), which involves uploading unused computing power to the blockchain and renting it out to developers or startups that need computing power. EdgeMatrixChain (EMC) is also one of the DePIN projects that provide GPU rental services. However, it is distinguished from other GPU rental DePINs by its ability to provide DeFi and creative platforms using a Layer 1 blockchain. Last August, EMC raised a total of $20 million from venture capitalists such as P2 Ventures and Amber Group to develop its Layer 1 blockchain. Why is decentralized GPU necessary? Graphics Processing Unit. /Photo provided by EMC Decentralized GPU projects have emerged as a solution to the current AI industry's most important challenge: securing GPUs. Since the emergence of Open AI's Chat GPT, everyone has jumped into AI development, causing a surge in GPU demand while supply remains severely lacking. As a result, high-performance GPUs used in AI development are currently as expensive as a car. While big tech companies like Meta and Microsoft have no problem purchasing expensive GPUs, startups and individual developers face financial difficulties. The demand for GPUs can be seen in NVIDIA's third-quarter report, which virtually monopolizes the GPU market. NVIDIA reported that its third-quarter revenue and net income surged by 94% and 106%, respectively, year-on-year, reaching $33.16 billion and $19.39 billion. This exceeded market expectations significantly. Decentralized GPU DePIN provides an alternative that can significantly reduce the cost of GPU computing resources, addressing these issues. Binance highlighted in its first-half report this year that "as interest in AI has increased, the cost of computing resources such as GPUs has risen," and "decentralized GPU DePIN has emerged as a cost-effective alternative." There is also hidden demand for decentralized GPUs. These are AI developers in China who have been sanctioned by the United States. According to the Wall Street Journal, Chinese AI developers have turned to decentralized GPUs as an alternative after being blocked by Amazon Web Services. The media cited EMC as an example, noting that decentralized GPUs, with features such as anonymity through smart contracts, are becoming an attractive option for Chinese AI developers. EMC, a one-stop platform for AI Alex Go, founder of EMC, explains the NVIDIA H100 cluster SuperPOD at Token 2049. /Photo provided by EMC As mentioned earlier, EMC is a project that rents out the computing power of GPUs. To this end, EMC currently has 274 nodes on its blockchain and has registered over 3,000 GPUs. The GPUs provided by EMC include NVIDIA A100, GeForce RTX 4090, and GeForce RTX 3090. Among them, the 'SuperPOD' cluster, made by assembling 1,024 'NVIDIA H100' GPUs, is considered EMC's strength. Previously, EMC participated in the 'Singapore Token 2049' conference and demonstrated a real-time demo of SuperPOD. EMC not only rents out GPUs but also provides users with various AI-related services. For example, it offers a platform business that allows users to develop and contentize AI more easily. The EMC AI platform, EMC HUB, includes ▲AI agent Jarvis Bot that can generate various content, ▲creative work trading application OmniMuse, and ▲3D content creation application Jojo World. Additionally, EMC helps build networks suitable for AI use. Specifically, it has implemented low latency and high transaction throughput in the network by introducing technologies such as smart routing and data caching. EMC stated, "Our goal is to become a platform that encompasses almost everything in the AI field," and "developers will be able to smoothly test and launch their AI models on the EMC network." Furthermore, EMC is also providing DeFi services using GPUs. Currently, anyone can purchase the computing power of NVIDIA H100 GPUs in token form within EMC, and by staking it through EMC's DeFi, they can earn additional income of about 2.7% to 7.1% annually, depending on the period. Currently, about 2.6 million EMC tokens are staked in this DeFi service. Photo captured from CoinMarketCap According to CoinMarketCap, EMC tokens are trading at $0.079 as of 10 a.m. on the 6th, down 4.91% from the previous day. The circulating EMC tokens are about 30 million, accounting for 3% of the total supply (about 1 billion). The market capitalization is approximately $2.37 million. Meanwhile, EMC is generating about $15 million in annual revenue. Although the business scale is not yet large, the outlook for decentralized GPU projects is generally positive. Data analytics firm Nansen, in a report published with MetaStreet, projected that "considering DeFi income from GPU rental services, tokenomics, and GPU rental revenue, the total revenue of these services could surge by at least 30% to as much as 200%." Hankyung.com Newsroom open@hankyung.com

Photo provided by EMC As interest in artificial intelligence (AI) continues to rise, there is a growing trend of cryptocurrency projects attempting to combine AI with blockchain. Among AI-related cryptocurrency projects, the most representative type is the decentralized graphics processing unit (GPU) project that rents out GPUs. Decentralized GPUs are a type of decentralized physical infrastructure network (DePIN), which refers to projects that upload unused computing power to the blockchain and rent it out to developers or startups in need of computing power. EdgeMatrixChain (EMC) is also one of the DePIN projects that operate GPU rental services. However, it is evaluated as being differentiated from other GPU rental DePINs by enabling DeFi and creative platform provision using Layer 1 blockchain. Previously, in August, EMC attracted a total investment of $20 million from venture capital firms such as P2 Ventures and Amber Group to develop its Layer 1 blockchain. Why Do We Need Decentralized GPUs? Graphics Processing Unit. /Photo provided by EMC Decentralized GPU projects have emerged as a solution to the GPU acquisition problem, which is currently the most important issue in the AI industry. Since the emergence of Open AI's Chat GPT, everyone has jumped into AI development, causing a surge in GPU demand while supply remains severely insufficient. As a result, high-performance GPUs used in current AI development are priced at the level of a car. While big tech companies like Meta and Microsoft have no major issues purchasing expensive GPUs, startups and individual developers face difficulties in terms of cost. The demand for GPUs can be glimpsed from Nvidia's third-quarter report, which virtually monopolizes the GPU market. Nvidia reported that its revenue and net income surged by 94% and 106% year-on-year, respectively, to $33.16 billion and $19.39 billion in its third-quarter earnings announcement. These figures significantly exceeded market expectations. Decentralized GPU DePINs have become an alternative that can significantly reduce the cost of GPU computing resources, addressing these issues. Binance highlighted in its first-half report this year that "as interest in AI has surged, the cost of computing resources such as GPUs has increased," and "decentralized GPU DePINs have emerged as a cost-effective alternative." There is also hidden demand for decentralized GPUs. These are AI developers in China who have been sanctioned by the United States. According to the Wall Street Journal, Chinese AI developers have turned to decentralized GPUs as an alternative after being blocked by Amazon Web Services. The media cited EMC as an example, evaluating that decentralized GPUs, with features such as anonymity through smart contracts, are becoming an attractive option for Chinese AI developers. EMC, a One-Stop Platform for AI Alex Go, founder of EMC, explaining Nvidia H100 cluster SuperPOD at Token 2049. /Photo provided by EMC As previously explained, EMC is a project that rents out the computing power of GPUs. To this end, EMC currently has secured 274 nodes on its blockchain and registered over 3,000 GPUs. The GPUs provided by EMC include Nvidia A100, GeForce RTX 4090, and GeForce RTX 3090. In particular, the cluster 'SuperPOD,' made by assembling 1,024 'Nvidia H100' GPUs, is considered EMC's strength. Previously, EMC participated in the 'Singapore Token 2049' conference and demonstrated a real-time demo of SuperPOD. EMC not only rents out GPUs but also provides users with various AI-related services. For example, it offers a platform business that allows users to develop and content AI more easily. The EMC AI platform, EMC HUB, includes ▲ AI agent Jarvis Bot that can generate various content, ▲ creative work trading application OmniMuse, and ▲ 3D content generation application ZoZoWorld. Additionally, EMC assists in building networks suitable for AI use. Specifically, it has implemented technologies such as smart routing and data caching to achieve low latency and high transaction throughput in the network. EMC stated, "Our goal is to become a platform that encompasses almost everything in the AI field," adding, "Developers will be able to smoothly test and launch their AI models on the EMC network." Furthermore, EMC is also providing DeFi services using GPUs. Currently, anyone within EMC can purchase the computing power of Nvidia H100 GPUs in token form, and by staking it through EMC's DeFi, they can earn additional income of about 2.7% to 7.1% annually, depending on the period. Currently, about 2.6 million EMC tokens are staked in this DeFi service. Photo captured from CoinMarketCap According to CoinMarketCap, EMC tokens are trading at $0.079 as of 10 a.m. on the 6th, down 4.91% from the previous day. The currently circulating EMC tokens amount to about 30 million, accounting for 3% of the total supply (about 1 billion). The market capitalization is around $2.37 million. Meanwhile, EMC is generating an annual income of about $15 million. Although the business scale cannot be considered large yet, the outlook for decentralized GPU projects is generally positive. Data analytics firm Nansen, in a report published with MetaStreet, projected that "considering DeFi income from GPU rental services, tokenomics, and GPU rental revenue, the total revenue of these services could surge by at least 30% to as much as 200%."

President Yoon Suk-yeol declared martial law, and the KOSPI index is displayed on the electronic board at Hana Bank's dealing room in Jung-gu, Seoul, on the morning of the 4th, when the National Assembly lifted the martial law. Photo=Yonhap News On the 4th, the KOSPI index retreated to the 2460 level as foreign investors withdrew funds due to the impact of martial law. The KOSDAQ index also fell by nearly 2%. On this day, the KOSPI index closed at 2464, down 36.1 points (1.44%) from the previous day. The KOSPI index started with a 1.97% drop and expanded its decline to 2.31%, but the government announced measures to stabilize the financial market, including a 10 trillion won stock market stabilization fund, which slightly reduced the decline. President Yoon Suk-yeol declared martial law, and the KOSPI index is displayed on the electronic board at Hana Bank's dealing room in Jung-gu, Seoul, on the morning of the 4th, when the National Assembly lifted the martial law. Photo=Yonhap News On the 4th, the KOSPI index retreated to the 2460 level as foreign investors withdrew funds due to the impact of martial law. The KOSDAQ index also fell by nearly 2%. On this day, the KOSPI index closed at 2464, down 36.1 points (1.44%) from the previous day. The KOSPI index started with a 1.97% drop and expanded its decline to 2.31%, but the government announced measures to stabilize the financial market, including a 10 trillion won stock market stabilization fund, which slightly reduced the decline. President Yoon Suk-yeol declared martial law, and the KOSPI index is displayed on the electronic board at Hana Bank's dealing room in Jung-gu, Seoul, on the morning of the 4th, when the National Assembly lifted the martial law. Photo=Yonhap News On the 4th, the KOSPI index retreated to the 2460 level as foreign investors withdrew funds due to the impact of martial law. The KOSDAQ index also fell by nearly 2%. On this day, the KOSPI index closed at 2464, down 36.1 points (1.44%) from the previous day. The KOSPI index started with a 1.97% drop and expanded its decline to 2.31%, but the government announced measures to stabilize the financial market, including a 10 trillion won stock market stabilization fund, which slightly reduced the decline. President Yoon Suk-yeol declared martial law, and the KOSPI index is displayed on the electronic board at Hana Bank's dealing room in Jung-gu, Seoul, on the morning of the 4th, when the National Assembly lifted the martial law. Photo=Yonhap News On the 4th, the KOSPI index retreated to the 2460 level as foreign investors withdrew funds due to the impact of martial law. The KOSDAQ index also fell by nearly 2%. On this day, the KOSPI index closed at 2464, down 36.1 points (1.44%) from the previous day. The KOSPI index started with a 1.97% drop and expanded its decline to 2.31%, but the government announced measures to stabilize the financial market, including a 10 trillion won stock market stabilization fund, which slightly reduced the decline.

Retreat to 1420 Won Level Suspected Due to Government Intervention Photo=Yonhap News On the morning of the 6th, the won-dollar exchange rate is fluctuating due to political instability in the Seoul foreign exchange market. As of 11:30 a.m. that day, the won-dollar exchange rate is trading at 1,419.7 won, up 6.4 won from the previous day. The exchange rate started at 1,416.0 won, up 0.9 won from the previous session, and began to soar sharply from around 10:35 a.m., reaching 1,429.2 won, up 14.1 won from the previous day, at around 10:53 a.m. Afterwards, the exchange rate fell to the early 1420 won level as volumes suspected to be government intervention emerged. The sharp rise in the exchange rate that day is interpreted as being influenced by ongoing domestic political instability, such as the martial law situation and the rapid progress of the impeachment political situation.

Alex Go, founder of EMC, is participating in Token2049 explaining the NVIDIA H100 cluster SuperPOD. /Photo provided by EMC As previously explained, EMC is a project that leases the computing power of GPUs. To this end, EMC currently has secured 274 nodes on its blockchain and registered over 3,000 GPUs. The GPUs provided by EMC include NVIDIA A100, GeForce RTX 4090, and GeForce RTX 3090. In particular, the cluster 'SuperPOD' made by assembling 1,024 'NVIDIA H100' GPUs is considered EMC's strength. Previously, EMC participated in the 'Singapore Token 2049' conference and demonstrated a real-time demo of SuperPOD. EMC not only leases GPUs but also provides various AI-related services to users. An example is the platform business that allows users to develop and content AI more easily. The EMC AI platform, EMC HUB, includes ▲ AI agent Jarvis Bot that can generate various content, ▲ creative work trading application OmniMuse, ▲ 3D content creation application JoJo World. Additionally, EMC is helping to build a network suitable for AI use. Specifically, by introducing technologies such as smart routing and data caching, it has implemented low latency and high transaction throughput in the network. EMC stated, "Our goal is to become a platform that encompasses almost everything in the AI field," and "Developers will be able to smoothly test and launch their AI models on the EMC network." Furthermore, EMC is also providing DeFi services utilizing GPUs. Currently, anyone within EMC can purchase the computing power of NVIDIA H100 GPUs in token form, and by staking it through EMC's DeFi, they can earn additional income of about 2.7~7.1% annually depending on the period. Currently, about 2.6 million EMC tokens are staked in this DeFi service. Photo captured from CoinMarketCap As of 10 a.m. on the 6th, EMC tokens are trading at $0.079, down 4.91% from the previous day, according to CoinMarketCap. The currently circulating EMC tokens account for about 3% of the total supply (about 1 billion), with a market capitalization of approximately $2.37 million. Meanwhile, EMC is generating an annual income of about $15 million. Although the business scale cannot be considered large yet, the outlook for decentralized GPU projects is generally positive. Data analysis firm Nansen, in a report published with MetaStreet, predicted, "Considering DeFi income from GPU rental services, tokenomics, and GPU rental revenue, the total revenue of these services could surge from at least 30% to a maximum of 200%." Hankyung.com Newsroom open@hankyung.com

Alex Go, founder of EMC, is participating in Token2049 and explaining about the NVIDIA H100 cluster SuperPOD. /Photo provided by EMC As previously explained, EMC is a project that leases the computing power of GPUs. To this end, EMC has currently secured 274 nodes on its blockchain and registered more than 3,000 GPUs. The GPUs provided by EMC include NVIDIA A100, GeForce RTX 4090, and GeForce RTX 3090.

Photo provided by EMC As interest in artificial intelligence (AI) continues to rise, there is a growing trend of cryptocurrency projects attempting to combine AI with blockchain. Among AI-related cryptocurrency projects, the most representative type is decentralized graphics processing unit (GPU) projects that lease GPUs. Decentralized GPUs are a type of decentralized physical infrastructure network (DePIN), which involves uploading unused computing power to the blockchain and renting it out to developers or startups in need of computing power. EdgeMatrixChain (EMC) is also one of the DePIN projects that provide GPU rental services. However, it is distinguished from other GPU rental DePINs by its ability to offer DeFi and creative platforms using Layer 1 blockchain. Previously, in August, EMC secured a total investment of $20 million from venture capital firms such as P2 Ventures and Amber Group for the development of its Layer 1 blockchain. Why is Decentralized GPU Needed? Graphics Processing Unit. /Photo provided by EMC Decentralized GPU projects have emerged as a solution to the GPU acquisition problem, which is currently the most critical issue in the AI industry. Since the emergence of Open AI's Chat GPT, there has been a surge in AI development, leading to a skyrocketing demand for GPUs, while supply remains insufficient. As a result, high-performance GPUs used in AI development are currently priced at the level of a car. While big tech companies like Meta and Microsoft have no significant issues purchasing expensive GPUs, startups and individual developers face financial challenges. The demand for GPUs can be seen in Nvidia's third-quarter report, which practically monopolizes the GPU market. Nvidia reported that its third-quarter revenue and net profit surged by 94% and 106%, respectively, compared to the same period last year, reaching $33.16 billion and $19.39 billion. These figures significantly exceeded market expectations. Decentralized GPU DePINs offer an alternative by significantly reducing the cost of GPU computing resources. Binance highlighted in its first-half report this year that "with the growing interest in AI, the cost of computing resources like GPUs has increased," and "decentralized GPU DePINs have emerged as a cost-effective alternative." There is also hidden demand for decentralized GPUs from Chinese AI developers who have been sanctioned by the United States. According to the Wall Street Journal, Chinese AI developers have turned to decentralized GPUs as an alternative after being blocked by Amazon Web Services. The media outlet cited EMC as an example, noting that decentralized GPUs, with features like anonymity through smart contracts, are becoming an attractive option for Chinese AI developers. EMC, a One-Stop Platform for AI Alex Go, founder of EMC, explaining the Nvidia H100 Cluster SuperPOD at Token 2049. /Photo provided by EMC As previously mentioned, EMC is a project that leases the computing power of GPUs. To achieve this, EMC currently has 274 nodes on its blockchain and has registered over 3,000 GPUs. The GPUs provided by EMC include Nvidia A100, GeForce RTX 4090, and GeForce RTX 3090. Among them, the cluster 'SuperPOD,' made by assembling 1,024 'Nvidia H100' GPUs, is considered EMC's strength. EMC previously participated in the 'Singapore Token 2049' conference and showcased a live demo of SuperPOD. EMC not only leases GPUs but also offers various AI-related services to users. For example, it provides a platform business that allows users to develop and content AI more easily. EMC's AI platform, EMC HUB, includes ▲AI agent Jarvis Bot for generating various content, ▲creative work trading application OmniMuse, and ▲3D content creation application JojoWorld. Additionally, EMC assists in building networks suitable for AI usage. Specifically, it has implemented technologies such as smart routing and data caching to achieve low latency and high transaction throughput in the network. EMC stated, "Our goal is to become a platform that encompasses almost everything in the AI field," and "developers will be able to smoothly test and launch their AI models on the EMC network." Furthermore, EMC also provides DeFi services utilizing GPUs. Currently, anyone can purchase the computing power of Nvidia H100 GPUs in token form within EMC, and by staking them through EMC's DeFi, they can earn an additional income of approximately 2.7% to 7.1% annually, depending on the period. Currently, about 2.6 million EMC tokens are staked in this DeFi service. Photo captured from CoinMarketCap According to CoinMarketCap, EMC tokens are trading at $0.079 as of 10 a.m. on the 6th, down 4.91% from the previous day. Approximately 30 million EMC tokens are currently in circulation, accounting for 3% of the total supply (about 1 billion). The market capitalization is around $2.37 million. Meanwhile, EMC is generating an annual income of about $15 million. Although the business scale cannot yet be considered large, the outlook for decentralized GPU projects is generally positive. Data analysis firm Nansen, in a report published with Metastreet, projected that "considering DeFi income from GPU rental services, tokenomics, and GPU rental revenue, the total revenue of these services could surge by at least 30% to a maximum of 200%."

Image=Getty Images Bank Foreign investors are net buying small and mid-cap semiconductor stocks with high valuation (price level relative to performance) appeal. Observations suggest they are using the stock price drop due to the martial law situation as an opportunity for bargain purchases. According to the Korea Exchange on the 6th, foreign investors have been net buying Techwing, a semiconductor equipment stock on the KOSDAQ market, for three consecutive days from the 4th to 11 a.m. today. The total net purchase amount during this period is 6.9 billion won. Foreign investors also net bought 4.7 billion won worth of Jusung Engineering, another semiconductor equipment stock, during the same period. They continued net buying Eugene Technology (+2 billion won), Duksan Neolux (+1.6 billion won), and others. On the 4th, when news of President Yoon Suk-yeol's martial law broke, foreign investors accelerated their exit from the Korean stock market. From then until this morning, foreign investors have net sold over 700 billion won in the securities market. However, they have bought these stocks instead. These stocks have recently been valued lower than the industry average. As of the previous day, the 12-month forward price-to-earnings ratio (12M PER) of the 37 KRX Semiconductor Index constituent stocks with consensus (average securities firm estimates) is an average of 29 times. The 12M PER of the stocks net bought by foreign investors is Techwing 7.2 times, Jusung Engineering 10.7 times, Eugene Technology 11.2 times, and Duksan Neolux 11.7 times. This means the stock prices are undervalued compared to the industry average. Techwing's 12M PER is even lower than the KOSPI Index (8.5 times). Foreign investors are net selling 71 billion won worth of SK Hynix this morning, but they net bought 199.8 billion won worth on the 4th and 5th. As a result, the total net purchase amount from the 4th to this morning is calculated to be 128.8 billion won. The fact that this stock's 12M PER is recently at a historically low 4.8 times seems to have influenced this.

사진=EMC 제공 Interest in artificial intelligence (AI) is increasing day by day, and there is a growing trend of cryptocurrency projects attempting to combine AI with blockchain. The most representative type of AI-related cryptocurrency project is the decentralized graphics processing unit (GPU) project that leases GPUs. Decentralized GPUs are a type of decentralized physical infrastructure network (DePIN), which refers to projects that put unused computing power on the blockchain and rent it out to developers or startups in need of computing power. EdgeMatrixChain (EMC) is also one of the DePIN projects that provide GPU rental services. However, it is evaluated as differentiated from other GPU rental DePINs in that it can provide DeFi and creative platforms using layer 1 blockchain. Previously, in August, EMC attracted a total investment of $20 million from venture capitalists such as P2 Ventures and Amber Group for the development of layer 1 blockchain. Why is Decentralized GPU Needed? Graphics Processing Unit. /Photo provided by EMC Decentralized GPU projects have emerged as a solution to the GPU acquisition problem, which is the most important issue in the current AI industry. Since the advent of Open AI's Chat GPT, everyone has jumped into AI development, causing a surge in GPU demand while supply remains severely lacking. As a result, high-performance GPUs used in AI development today are as expensive as a car. While big tech companies like Meta and Microsoft have no major issues purchasing expensive GPUs, startups and individual developers face difficulties in terms of cost. The demand for GPUs can be seen in Nvidia's third-quarter report, which virtually monopolizes the GPU market. Nvidia reported that its revenue and net profit in the third quarter surged by 94% and 106%, respectively, compared to the same period last year, recording $33.16 billion and $19.39 billion. This far exceeded market expectations. Decentralized GPU DePINs have become an alternative that can significantly reduce the cost of GPU computing resources, solving these problems. Binance highlighted in its first-half report this year that "as interest in AI grows, the cost of computing resources such as GPUs has increased," and "decentralized GPU DePINs have emerged as a cost-effective alternative." There is also hidden demand for decentralized GPUs. These are Chinese AI developers sanctioned by the United States. According to the Wall Street Journal, Chinese AI developers have chosen decentralized GPUs as an alternative after being blocked by Amazon Web Services. The media cited EMC as an example, evaluating that decentralized GPUs, which feature anonymity through smart contracts, are becoming an attractive option for Chinese AI developers. EMC, a One-Stop Platform for AI Alex Go, founder of EMC, is explaining the Nvidia H100 cluster SuperPOD at Token 2049. /Photo provided by EMC As explained earlier, EMC is a project that rents out the computing power of GPUs. To this end, EMC currently has secured 274 nodes on its blockchain and registered over 3,000 GPUs. The GPUs provided by EMC include Nvidia A100, GeForce RTX 4090, and GeForce RTX 3090. In particular, the cluster 'SuperPOD,' which consists of 1,024 'Nvidia H100' GPUs, is considered EMC's strength. Previously, EMC participated in the 'Singapore Token 2049' conference and demonstrated a real-time demo of SuperPOD. EMC not only rents out GPUs but also provides users with various AI-related services. For example, it offers a platform business that allows users to develop and content AI more easily. EMC's AI platform, EMC HUB, includes ▲ AI agent Jarvis Bot that can generate various content, ▲ creative trading application OmniMuse, and ▲ 3D content creation application ZoZo World. Additionally, EMC is helping to build a network suitable for AI use. Specifically, technologies such as smart routing and data caching have been introduced to achieve low latency and high throughput in the network. EMC stated, "Our goal is to become a platform that encompasses almost everything in the AI field," and "developers will be able to smoothly test and launch their AI models on the EMC network." Furthermore, EMC is also providing DeFi services using GPUs. Currently, anyone can purchase the computing power of Nvidia H100 GPUs in token form within EMC, and by staking it through EMC's DeFi, they can earn an additional income of about 2.7% to 7.1% annually depending on the period. Currently, about 2.6 million EMC tokens are staked in this DeFi service. Photo captured from CoinMarketCap According to CoinMarketCap, EMC tokens are trading at $0.079 as of 10 a.m. on the 6th, down 4.91% from the previous day. The circulating EMC tokens are about 30 million, accounting for 3% of the total supply (about 1 billion). The market capitalization is around $2.37 million. Meanwhile, EMC is earning about $15 million in annual revenue. Although the business scale cannot be considered large yet, the outlook for decentralized GPU projects is generally positive. Data analysis firm Nansen, in a report published with MetaStreet, predicted that "considering the DeFi income, tokenomics, and GPU rental revenue of GPU rental services, the total revenue of these services could surge by at least 30% to a maximum of 200%."

Photo provided by EMC As interest in artificial intelligence (AI) continues to rise, there is a growing trend of virtual asset (cryptocurrency) projects attempting to combine AI with blockchain. The most representative type of AI-related virtual asset projects is decentralized graphics processing unit (GPU) projects that rent out GPUs. Decentralized GPUs are a type of decentralized physical infrastructure network (DePIN), which involves uploading unused computing power to the blockchain and renting it out to developers or startups who need computing power. EdgeMatrixChain (EMC) is also one of the DePIN projects that operate GPU rental services. However, it is evaluated as being differentiated from other GPU rental DePINs by enabling DeFi and creative platform provision using Layer 1 blockchain. Previously, in August, EMC attracted a total investment of $20 million from venture capitals such as P2 Ventures and Amber Group to develop Layer 1 blockchain. Why is Decentralized GPU Needed? Graphics Processing Unit. /Photo provided by EMC Decentralized GPU projects have emerged as a solution to the GPU acquisition problem, which is currently the most important issue in the AI industry. Since the emergence of Open AI's Chat GPT, everyone has jumped into AI development, causing a surge in GPU demand while supply remains severely lacking. As a result, high-performance GPUs used in AI development are currently priced at the level of a car. While big tech companies like Meta and Microsoft have no significant issues purchasing expensive GPUs, startups and individual developers face difficulties in terms of cost. The demand for GPUs can be seen in Nvidia's third-quarter report, which virtually monopolizes the GPU market. Nvidia reported that its revenue and net profit surged by 94% and 106%, respectively, year-on-year to $33.16 billion and $19.39 billion in the third quarter, exceeding market expectations. Decentralized GPU DePIN provides an alternative that can significantly reduce the cost of GPU computing resources, addressing these issues. Binance highlighted in its first-half report this year that "as interest in AI increases, the cost of computing resources such as GPUs has risen," and "decentralized GPU DePIN has emerged as a cost-effective alternative." There is also hidden demand for decentralized GPUs. These are Chinese AI developers sanctioned by the United States. According to the Wall Street Journal, Chinese AI developers have turned to decentralized GPUs as an alternative after being blocked by Amazon Web Services. The media cited EMC as an example, evaluating that decentralized GPUs, with features such as anonymity through smart contracts, are becoming an attractive option for Chinese AI developers. EMC, a One-Stop Platform for AI Alex Go, founder of EMC, is explaining the Nvidia H100 cluster SuperPOD at Token 2049. /Photo provided by EMC As explained earlier, EMC is a project that rents out the computing power of GPUs. To this end, EMC has currently secured 274 nodes on its blockchain and registered over 3,000 GPUs. The GPUs provided by EMC include Nvidia A100, GeForce RTX 4090, and GeForce RTX 3090. In particular, the cluster 'SuperPOD,' made by assembling 1,024 'Nvidia H100' GPUs, is considered EMC's strength. Previously, EMC participated in the 'Singapore Token 2049' conference and demonstrated a real-time demo of SuperPOD. EMC not only rents out GPUs but also provides users with various AI-related services. For example, it offers a platform business that allows users to develop and contentize AI more easily. EMC's AI platform, EMC HUB, includes ▲ AI agent Jarvis Bot that can generate various content, ▲ creative transaction application OmniMuse, and ▲ 3D content creation application ZoZo World. Additionally, EMC is helping to build a network suitable for AI use. Specifically, it has implemented low latency and high transaction throughput in the network by introducing technologies such as smart routing and data caching. EMC stated, "Our goal is to become a platform that encompasses almost everything in the AI field," and "developers will be able to smoothly test and launch their AI models on the EMC network." Moreover, EMC is also providing DeFi services using GPUs. Currently, anyone within EMC can purchase the computing power of Nvidia H100 GPUs in token form, and by staking it through EMC's DeFi, they can earn an additional income of about 2.7% to 7.1% annually, depending on the period. Currently, about 2.6 million EMC tokens are staked in this DeFi service. Photo captured from CoinMarketCap According to CoinMarketCap, EMC tokens are trading at $0.079 as of 10 a.m. on the 6th, down 4.91% from the previous day. The circulating EMC tokens are about 30 million, accounting for 3% of the total supply (about 1 billion). The market capitalization is approximately $2.37 million. Meanwhile, EMC is generating about $15 million in annual revenue. Although the business scale cannot be considered large yet, the outlook for decentralized GPU projects is generally positive. Data analysis company Nansen, in a report published with MetaStreet, predicted that "considering the DeFi income, tokenomics, and GPU rental revenue of GPU rental services, the total revenue of these services could surge by at least 30% to a maximum of 200%."

Photo=YouTube channel 'Mudang Detector' capture A shaman is drawing attention for predicting President Yoon Suk-yeol's declaration of martial law three months ago. On the 6th, the YouTube channel 'Mudang Detector' uploaded a video on August 30th featuring a fortune-telling session for President Yoon and First Lady Kim Keon-hee. The YouTuber provided the shaman in Yeouido with only the information "born in 1960, male rat zodiac" without revealing President Yoon's name or date of birth. Apu-ning

Image=Creditcoin Creditcoin (CTC), a multi-chain Layer 1 blockchain network building a Real World Asset (RWA) ecosystem, announced on the 6th that it has entered into a strategic partnership with decentralized satellite internet Spacecoin, Layer 1 blockchain SUI, and decentralized storage project Walrus. Creditcoin records loan transaction histories on-chain to provide transparent and reliable credit records. This contributes to providing credit to citizens in underdeveloped countries who cannot access banking services, thereby expanding financial inclusion. Creditcoin's developer, Gluwa, is participating in the Central Bank Digital Currency (CBDC) project in Nigeria and other African countries such as Liberia, Sierra Leone, and Ghana.

Photo provided by EMC As interest in Artificial Intelligence (AI) continues to rise, there is a growing trend of cryptocurrency projects attempting to combine AI with blockchain. The most representative type of AI-related cryptocurrency project is the decentralized Graphics Processing Unit (GPU) rental project. Decentralized GPUs are a type of Decentralized Physical Infrastructure Network (DePIN), which refers to projects that upload unused computing power to the blockchain and rent it out to developers or startups in need of computing power. EdgeMatrixChain (EMC) is also one of the DePIN projects that provide GPU rental services. However, it is differentiated from other GPU rental DePINs by its ability to offer DeFi and creative platforms using Layer 1 blockchain. In August, EMC raised a total of $20 million from venture capital firms such as P2 Ventures and Amber Group to develop its Layer 1 blockchain. Why are decentralized GPUs needed? Graphics Processing Unit. /Photo provided by EMC Decentralized GPU projects have emerged as a solution to the GPU acquisition problem, which is currently the most important issue in the AI industry. Since the emergence of Open AI's Chat GPT, everyone has jumped into AI development, leading to a surge in GPU demand, while supply remains insufficient. As a result, high-performance GPUs used in AI development are currently as expensive as a car. While big tech companies like Meta and Microsoft have no problem purchasing expensive GPUs, startups and individual developers face financial difficulties. The demand for GPUs can be seen in NVIDIA's third-quarter report, which virtually monopolizes the GPU market. NVIDIA reported that its revenue and net profit surged by 94% and 106%, respectively, year-on-year, reaching $33.16 billion and $19.39 billion. These figures far exceeded market expectations. Decentralized GPU DePINs are emerging as an alternative that can significantly reduce the cost of GPU computing resources. Binance highlighted in its first-half report this year that "as interest in AI grows, the cost of computing resources such as GPUs has increased," and "decentralized GPU DePINs have emerged as a cost-effective alternative." There is also hidden demand for decentralized GPUs from Chinese AI developers sanctioned by the United States. According to the Wall Street Journal, Chinese AI developers have turned to decentralized GPUs as an alternative after being blocked by Amazon Web Services. The media cited EMC as an example, stating that decentralized GPUs, with features such as anonymity through smart contracts, are becoming an attractive option for Chinese AI developers. EMC, a one-stop platform for AI Alex Go, founder of EMC, is explaining about NVIDIA H100 cluster SuperPOD at Token 2049. /Photo provided by EMC As mentioned earlier, EMC is a project that rents out the computing power of GPUs. To this end, EMC currently has 274 nodes on its blockchain and has registered over 3,000 GPUs. The GPUs provided by EMC include NVIDIA A100, GeForce RTX 4090, and GeForce RTX 3090. In particular, the cluster 'SuperPOD,' made by assembling 1,024 'NVIDIA H100' GPUs, is considered EMC's strength. EMC previously participated in the 'Singapore Token 2049' conference and showcased a real-time demo of SuperPOD. EMC not only rents out GPUs but also provides various AI-related services to users. For example, it offers a platform business that allows users to develop and contentize AI more easily. The EMC AI platform, EMC HUB, includes ▲ AI agent Jarvis Bot that can generate various content, ▲ creative transaction application OmniMuse, and ▲ 3D content generation application ZoZo World. Additionally, EMC helps build networks suitable for AI use. Specifically, it has implemented low latency and high transaction throughput in the network by introducing technologies such as smart routing and data caching. EMC stated, "Our goal is to become a platform that encompasses almost everything in the AI field," and "developers will be able to smoothly test and launch their AI models on the EMC network." Moreover, EMC is also providing DeFi services using GPUs. Currently, anyone can purchase the computing power of NVIDIA H100 GPUs in token form within EMC, and by staking it through EMC's DeFi, they can earn an additional income of about 2.7% to 7.1% annually, depending on the period. Currently, about 2.6 million EMC tokens are staked in this DeFi service. Photo captured from CoinMarketCap According to CoinMarketCap, EMC tokens are trading at $0.079 as of 10 a.m. on the 6th, down 4.91% from the previous day. The currently circulating EMC tokens amount to about 30 million, accounting for 3% of the total supply (about 1 billion). The market capitalization is approximately $2.37 million. Meanwhile, EMC is generating an annual income of about $15 million. Although the business scale is not yet large, the outlook for decentralized GPU projects is generally positive. Data analysis firm Nansen, in a report published with MetaStreet, projected that "considering the DeFi income, tokenomics, and GPU rental revenue of GPU rental services, the total revenue of these services could surge by at least 30% to a maximum of 200%."

Photo provided by EMC As interest in artificial intelligence (AI) continues to rise, there is a growing trend of virtual asset (cryptocurrency) projects attempting to combine AI with blockchain. The most representative type of AI-related virtual asset projects is decentralized graphics processing unit (GPU) projects that lease GPUs. Decentralized GPUs are a type of decentralized physical infrastructure network (DePIN), which involves uploading unused computing power to the blockchain and renting it out to developers or startups that need computing power. EdgeMatrixChain (EMC) is also one of the DePIN projects that operate GPU rental services. However, it is evaluated as being differentiated from other GPU rental DePINs because it can provide DeFi and creative platforms using layer 1 blockchain. Previously, in August, EMC attracted a total investment of $20 million from venture capitalists such as P2 Ventures and Amber Group to develop layer 1 blockchain. Why is decentralized GPU necessary? Graphics Processing Unit. /Photo provided by EMC Decentralized GPU projects have emerged as a solution to the GPU acquisition problem, which is currently the most important task in the AI industry. Since the emergence of Open AI's Chat GPT, everyone has jumped into AI development, causing a surge in GPU demand while supply remains woefully inadequate. As a result, high-performance GPUs used in current AI development are priced at the level of a car. While big tech companies like Meta and Microsoft have no major issues purchasing expensive GPUs, startups and individual developers face financial difficulties. The demand for GPUs can be seen in Nvidia's third-quarter report, which virtually monopolizes the GPU market. Nvidia reported that its revenue and net profit in the third quarter increased by 94% and 106% year-on-year, respectively, to $33.16 billion and $19.39 billion, far exceeding market expectations. Decentralized GPU DePIN is becoming an alternative that can significantly reduce the cost of GPU computing resources, solving these problems. Binance highlighted in its first-half report this year that "as interest in AI grows, the cost of computing resources such as GPUs has increased," and "decentralized GPU DePIN has emerged as a cost-effective alternative." There is also hidden demand for decentralized GPUs. These are AI developers in China who have been sanctioned by the United States. According to the Wall Street Journal, Chinese AI developers have turned to decentralized GPUs as an alternative after being blocked by Amazon Web Services. The media cited EMC as an example, evaluating that decentralized GPUs, which feature anonymity through smart contracts, are becoming an attractive option for Chinese AI developers. EMC, a one-stop platform for AI Alex Go, founder of EMC, is explaining the Nvidia H100 cluster SuperPOD at Token2049. /Photo provided by EMC As explained earlier, EMC is a project that leases the computing power of GPUs. To this end, EMC currently has secured 274 nodes on its blockchain and registered more than 3,000 GPUs. The GPUs provided by EMC include Nvidia A100, GeForce RTX 4090, and GeForce RTX 3090. In particular, the cluster 'SuperPOD', made by assembling 1,024 'Nvidia H100' GPUs, is considered EMC's strength. Previously, EMC participated in the 'Singapore Token 2049' conference and demonstrated a real-time demo of SuperPOD. EMC not only leases GPUs but also provides users with various AI-related services. For example, it offers a platform business that allows users to develop AI more easily and turn it into content. EMC's AI platform, EMC HUB, includes ▲AI agent Jarvis Bot that can generate various content, ▲creative transaction application OmniMuse, and ▲3D content generation application ZoZo World. Additionally, EMC helps build networks suitable for AI use. Specifically, it has implemented low latency and high transaction throughput in the network by introducing technologies such as smart routing and data caching. EMC stated, "Our goal is to become a platform that encompasses almost everything in the AI field," and "developers will be able to smoothly test and launch their AI models on the EMC network." Furthermore, EMC is also providing DeFi services using GPUs. Currently, anyone within EMC can purchase the computing power of Nvidia H100 GPUs in token form, and by staking it through EMC's DeFi, they can earn an additional income of about 2.7% to 7.1% annually depending on the period. Currently, about 2.6 million EMC tokens are staked in this DeFi service. Photo captured from CoinMarketCap According to CoinMarketCap, EMC tokens are trading at $0.079 as of 10 a.m. on the 6th, down 4.91% from the previous day. The currently circulating EMC tokens account for about 3% of the total supply (about 1 billion), with a market capitalization of $2.37 million. Meanwhile, EMC is earning about $15 million annually. Although the business scale cannot be considered large yet, the outlook for decentralized GPU projects is generally positive. Data analysis firm Nansen, in a report published with MetaStreet, predicted that "considering the DeFi income, tokenomics, and GPU rental revenue of GPU rental services, the total revenue of these services could surge by at least 30% to a maximum of 200%."