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Gate has become the largest platform in TradFi, accelerating the connection between CFD, crypto funds, and global assets

The Gate Research Institute recently reported on "The TradFi Battle of Cryptocurrency Exchanges: Gate CFD's Path to Cross-Asset Breakthrough," indicating that since 2026, cryptocurrency trading platforms represented by Gate have been accelerating their breakthrough of digital asset boundaries, with CFD business becoming the primary trading entry point connecting stablecoin funds and global traditional assets. As user demand for trading and hedging in gold, foreign exchange, stocks, indices, and commodities grows, industry competition has shifted from merely competing on leverage and trading varieties to a comprehensive contest of asset coverage, liquidity, execution quality, risk management, and capital efficiency.In this round of TradFi expansion, Gate is forming a clear first-mover advantage. According to publicly available data, Gate accounts for approximately 39.4% of the trading volume among the five platforms that have disclosed TradFi transaction amounts, completing its transition from catching up to leading in just two months, becoming the largest top-tier platform. More notably, Gate's layout is no longer limited to increasing CFD categories but is based on USDT and a unified account entry, connecting CFDs, perpetual contracts, stocks, ETFs, IPO Access, and wealth management, while further accommodating professional and institutional funds through tools such as API, copy trading, OES, and CrossEx. Whether Gate can convert its temporary transaction advantage into long-term liquidity, capital retention, and professional service capabilities in the next phase will be key to whether its TradFi strategy can form a sustainable barrier.

Marvell launches AI "memory decoupling" architecture to address the bandwidth bottleneck of Agentic AI inference

According to official news, Marvell Technology announced the launch of a new generation of memory solution portfolio for AI infrastructure, covering server-level AI storage, rack-level CXL memory expansion and pooling, as well as multi-rack optical interconnect shared memory, aimed at addressing the growing memory capacity and bandwidth bottlenecks in Agentic AI inference processes.Marvell stated that as AI model sizes increase, context windows extend, and KV Cache demand grows, traditional tightly coupled architectures of computing and memory are limiting AI inference efficiency. Through memory disaggregation, memory resources can be made more independent of computing resource expansion, improving GPU utilization and reducing data movement latency. The products released include:Bravera SC6 PCIe 6.0 SSD controller: Designed for AI inference storage scenarios, it helps cloud service providers migrate more KV Cache to high-performance SSDs, enhancing infrastructure efficiency. This product features an architecture compatible with multi-vendor NAND and is expected to begin sampling in the fourth quarter of 2026.Marvell Structera X memory expansion solution: Based on CXL technology, it supports rack-level memory expansion and resource pooling, helping data centers share and allocate memory resources more flexibly, reducing AI infrastructure costs.Marvell Photonic Fabric optical interconnect memory solution: Constructs a shared memory architecture across multiple racks using optical interconnect technology, supporting up to 32TB warm KV Cache offloading and helping AI inference clusters enhance throughput capacity.Marvell stated that the Photonic Fabric solution can achieve a 2 to 3 times increase in Token throughput under existing data center space and power consumption constraints, supporting larger scale models and longer context AI applications.Marvell executive Will Chu stated that AI infrastructure is transitioning from a single server architecture to a system where computing, memory, and connectivity operate in synergy, and in the future, memory needs to expand more independently to enhance resource utilization and Token efficiency.As the demand for AI Agents and large model inference continues to grow, memory capacity, bandwidth, and data transfer efficiency are becoming new focal points of competition in AI infrastructure, following computing power.
2026-08-04

Dan Bin: The recent de-leveraging pullback is a necessary path, and the rebound of the Nasdaq in August is expected to continue until Nvidia's earnings report

Dongfang Harbor Chairman Dan Bin expressed his views this morning, stating that in July, the chip sector experienced a sharp decline and massive leveraged liquidations, but in the grand AI cycle, such a level of correction is both a necessary path and a sign of market health.The market has yet to fully understand the infinite demand potential of AI as an "intelligent" product. Concerns about capital expenditures from giants have echoed the early story of Amazon AWS, but the opportunities in AI are far greater. Funds are flowing back from low-quality tech stocks to high-quality targets, confirming the judgment of a "return of the king" by the end of 2026. Storage chips still face cyclical risks and high volatility, so it is advisable to wait for technical repairs, with a more optimistic view on fundamentally solid companies like Nvidia, Broadcom, and TSMC, as funds will flow more towards quality application layers.On the other hand, the business of hyperscale cloud providers is accelerating growth, with a large backlog of orders and an increasing growth rate, indicating that the previous punishment of capital expenditures was a misjudgment, and these investments will translate into certain future revenues. Looking ahead to August, the Nasdaq's rebound is expected to continue until Nvidia's earnings report, and the tech sector's rolling adjustment is nearing its end, with funds accelerating back into high-quality tech stocks.In terms of specific sector operations, it is currently not advisable to blindly chase high prices in the chip and storage (memory) sectors. However, investors can adopt a short-term band trading strategy of buying on dips until the storage sector completely emerges from its bottoming pattern on a technical level.

GPUS and Quantum Solutions sell cryptocurrency assets to invest in AI computing power, Vida Global connects to the Lightning Network for payroll

According to BBX data, yesterday global listed companies disclosed the latest real announcements regarding adjustments in cryptocurrency assets and business payment applications, with the following core dynamics:Hyperscale Data monetizes 100 BTC to build an AI data center: U.S. listed company Hyperscale Data, Inc. (NYSE American: $GPUS) announced the sale of 100 bitcoins to fund the construction of its AI data center located in Michigan. The company's CEO William Horne stated that this move is "converting one balance sheet asset into another," and clarified that the company's underlying belief in bitcoin has not changed.Quantum Solutions sells 1,000 ETH to inject into AIDC business: Japanese listed company Quantum Solutions announced that it sold 1,000 ETH through its merged subsidiary GPT Pals Studio Limited (GPT) for $1.9 million (approximately 311 million yen). The proceeds from the sale will be fully invested in the expansion of artificial intelligence infrastructure (AIDC) and data center business.Vida Global seamlessly accesses bitcoin payroll through the Lightning Network: U.S. listed company Vida Global (NYSE American: $VIDA) announced the adoption of Voltage Credit to pay its global team members in bitcoin via the Lightning Network. This mechanism utilizes a revolving credit line to instantly issue bitcoin and repays the balance in U.S. dollars at the end of each month, similar to processing standard vendor invoices, allowing the company to establish a cryptocurrency payroll settlement channel without directly holding a bitcoin wallet or reflecting cryptocurrency assets on its balance sheet.
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