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first_img South Korea announces large-scale project plans for chips and artificial intelligence data centers

The South Korean government has announced significant project plans in the areas of chips, physical artificial intelligence, and artificial intelligence data centers. South Korean President Lee Jae-myung stated that it is necessary to ensure the development of artificial intelligence elements faster than other countries, and chip production construction must be completed as soon as possible.The current factory site selection is nearing its limits in terms of water resources and other infrastructure. The southwestern region will invest between 50 trillion to 200 trillion won in the new projects, while Gwangju and Jeolla may invest 52 trillion won in the projects. Regarding the detailed planning for the factories, the South Korean government announced that it is expected to build four chip factories in the southwest, with an investment of about 800 trillion won; Samsung Electronics and SK Hynix will each build two new factories; it is expected that investment in the chip sector will reach at least 300 trillion won over the next 15 years, including next-generation memory, edge artificial intelligence, and defense.Investment in the chip packaging cluster in the Chungcheong region is expected to reach 81 trillion won. It is anticipated that approximately 55 trillion won will be invested in the construction of artificial intelligence data centers. The South Korean government expects to double DRAM production capacity within five years, and the global memory market is expected to quadruple in five years. The South Korean side also stated that it seeks to distribute the growth dividends to the public.

BlackRock deposited approximately $257 million in BTC and ETH into Coinbase Prime, and Hyperscale Data assets have fully covered its market capitalization

According to BBX data, yesterday institutional funds showed a divergence in their perception of the bottom for Bitcoin, with the core dynamics as follows:BlackRock, Inc. (NYSE: $BLK) yesterday, related entities under the company deposited 2,700 BTC (approximately $169 million) and 52,956 ETH (approximately $88.17 million) into Coinbase Prime institutional custody accounts, totaling about $257 million; reports also indicated "possible additional deposits." This deposit occurred against the backdrop of BTC approaching the key technical support level of $59,000, leading to divergent market interpretations: the optimistic interpretation believes that BlackRock is actively accumulating at the extremely low fear index of 18, signaling institutional-level bottom investment; the cautious interpretation suggests this could be passive rebalancing due to IBIT redemptions or internal asset rebalancing, and does not necessarily represent new buying. Regardless of the intent, the scale of $257 million accounts for about 0.5% of IBIT's current approximately $48 billion to $50 billion AUM, which is relatively small, but as a signal of institutional behavior in an extremely fearful market environment, it holds significant emotional reference value.Hyperscale Data Inc (NYSE: $GPUS) recently disclosed its balance sheet showing that the company holds a total of approximately $94.8 million in cash, restricted cash, Bitcoin, and silver, equivalent to 100.42% of the company's total market value of common stock—meaning the physical assets held by the company fully cover the current total market value. The company holds a 10-year, $1.2 billion AI computing power master service agreement (MSA), providing 20 megawatts of AI computing capacity for its Michigan facility, allowing for the continuous accumulation of Bitcoin and precious metals through cash flow from this contract without incurring debt. This business model—locking in cash flow with AI computing contracts and continuously accumulating hard assets with zero leverage—has been referred to by analysts as "the de-leveraged digital asset reserve model against the Strategy," providing a stark contrast in the current market context where Strategy leverage models are under pressure.

Jensen Huang announced at the shareholder meeting that the era of intelligent agents has arrived, with full-scale production of the exclusive Vera CPU

According to Wall Street News, NVIDIA CEO Jensen Huang announced at the annual shareholder meeting that the era of AI agents has officially arrived. He redefined the new type of data center as an "AI factory" specifically for producing tokens, and revealed that the new Vera CPU and Vera Rubin platform, designed to meet the ultra-low latency demands of agents, have fully entered mass production. Huang emphasized that as AI creates substantial economic value, the demand for computing power is showing an accelerating expansion trend, and its core software ecosystem CUDA is gradually transforming into a toolbox dedicated to agents.Regarding market access and compliance, Huang revealed that the U.S. government has now approved the export of H200 chips to Chinese customers, but this business has yet to generate any revenue, and there remains uncertainty regarding actual importation. At the same time, he rarely issued a public warning about the risks of chip smuggling, clearly stating that NVIDIA will not provide any hardware or software support and repair services for restricted smuggled products, and bluntly said that relying on smuggling to piece together advanced AI data centers is a "dead end." Additionally, he reiterated the long-term commitment to capital returns, planning to return over 50% of free cash flow to shareholders.

Data: On-chain tokenized RWA scale surged 589% to $31.4 billion, accelerating the institutionalization process

The latest report from Binance Research shows that the on-chain tokenization of real-world assets (RWA) has grown by 589% since the beginning of 2025, now exceeding $31.4 billion, further expanding from $21.5 billion at the beginning of 2026, and growing approximately fivefold since the beginning of 2025. The main drivers of growth come from bonds and money market funds, which together added about $6.5 billion, an increase of 83%. Tokenized U.S. Treasury bonds, money market funds, gold-backed assets, and tokenized listed stocks are the main driving forces behind this round of growth. Although the base for tokenized stocks is relatively small, the growth rate is particularly remarkable, indicating that issuing institutions are testing whether blockchain tracks can support the circulation of a broader range of traditional securities.Analysts point out that this round of RWA growth differs from the previous narrative of the crypto market dominated by speculative trading or DeFi yields, and is more closely linked to traditional financial infrastructure, focusing on institutional needs such as settlement efficiency, collateral liquidity, and programmable asset services. However, compared to the global bond, money fund, and stock markets, which are worth tens of trillions of dollars, $31.4 billion is still a drop in the bucket. The report indicates that the key to the next phase of growth lies not in the issuance of tokens themselves, but in the improvement of liquidity depth, legal enforceability, custody standards, and access to secondary markets. The regulatory framework remains the core bottleneck restricting further expansion of scale.

AI infrastructure startup Upscale AI completes $190 million financing at a valuation of $2 billion, led by Premji Invest, with participation from Nvidia and others

According to Techstartups, AI infrastructure startup Upscale AI announced the completion of a new round of financing totaling $190 million, with investors including NVIDIA and Salesforce Ventures. After this round of financing, the company's valuation reached $2 billion.This round of financing is part of its Series A extension, bringing Upscale AI's total financing to $500 million, led by Premji Invest, with new investors such as Temasek and Seligman Ventures participating, while existing shareholders including Maverick Silicon, Mayfield, Prosperity7 Ventures, StepStone Group, and Tiger Global continue to invest.Upscale AI focuses on building network infrastructure for large-scale AI clusters, attempting to solve the "computing power interconnection bottleneck" problem in AI training and inference. The company is developing a full-stack AI network architecture covering chips, systems, and software, aiming to create an open standard network interconnection solution suitable for large-scale AI workloads.The company stated that as the scale of AI clusters continues to expand, network performance is becoming a key limiting factor affecting GPU utilization and training efficiency. Inefficient interconnection can directly lead to wasted computing power and increased training costs. Currently, Upscale AI has begun collaborations with several hyperscale cloud providers and "new cloud" infrastructure providers for evaluation and deployment, but has not disclosed specific client information.Analysts point out that investment in AI infrastructure is spreading from the model layer to the underlying hardware and network layers, with network interconnection becoming one of the most关注的 key infrastructure tracks following GPUs.
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