从链上数据洞察AAVE现状：为何近期表现亮眼？

区块律动Publicado em 2023-09-24Última atualização em 2024-09-23

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55TB to 28TB? The Rumor and Panic Behind Rubin's Memory Being Halved

Title: 55TB to 28TB? The Rumor and Panic Behind the Potential Halving of Rubin's Memory. On June 4th, a report from SemiAnalysis suggested NVIDIA's next-gen Vera Rubin NVL72 AI rack may ship with roughly 28TB of SOCAMM DRAM per rack instead of the anticipated 55TB, primarily using 96GB modules. This sparked a market panic, causing Micron's stock to drop over 10% on fears of halved memory demand. However, the article argues this panic is misguided for several key reasons. First, SOCAMM modules are socketed and upgradeable, not soldered. Lower initial configuration doesn't mean permanent demand loss. Second, the primary driver is a severe 2026 LPDDR5X supply shortage, not diminished need. NVIDIA is likely prioritizing rack shipments with available components. Third, with fixed total LPDDR5X supply, using less per rack could allow NVIDIA to ship *more* racks, not necessarily reducing overall memory orders. Micron's sharp drop was also attributed to a broader semiconductor sell-off triggered by Broadcom's earnings, with the SemiAnalysis report providing a convenient narrative for profit-taking after Micron's massive rally. In summary: the report on lower default configurations is likely accurate, but interpreting it as a demand collapse is wrong. The real risk for Micron lies in its reportedly minimal HBM4 share for Rubin, not in potentially flexible SOCAMM demand. The sell-off appears more like a correction amplified by coinciding negative catalysts.

marsbitHá 3m

55TB to 28TB? The Rumor and Panic Behind Rubin's Memory Being Halved

marsbitHá 3m

Exclusive from Yingke | Tang Wenbin's 'Yuanli Lingji' Merges with Logistics Robotics Company, and Secures Investment from Zhipu, SenseTime, Jieyue, and Others

Exclusive report: Embodied AI company "Yuanli Lingji" recently completed a new round of financing from major AI model firms including Zhipu AI, Stepfun, and SenseTime, alongside continued investments from industrial backers like Huaqin and SAIC Hengxu. Founded in March 2025 by Tang Wenbin, former co-founder and CTO of Megvii, Yuanli Lingji is a general-purpose embodied AI model company. In a notable move, the company has merged with logistics robotics firm "Atomix" (formerly known as Yuanli Juhe) through a share acquisition. Atomix, which originated from Megvii's logistics robotics business led by Tang in 2016 and was spun off in July 2024, has grown to become the world's second-largest supplier of pallet shuttle robots, with annual revenue nearing 1 billion RMB and over 500 projects globally for clients like Uniqlo and CATL. This merger aims to break the industry's "data deadlock" by combining Atomix's extensive real-world operational data from more than 20 countries with Yuanli Lingji's model training capabilities. The company's embodied AI model "DM0" utilizes a cross-domain training approach, integrating internet semantics, autonomous driving rules, and robotics data to achieve hardware-agnostic, precise manipulation even with a compact 2.4B parameter size. The collective investment from key AI players and the strategic merger signal a shift in the competitive landscape, as major model companies pivot from language tokens to physical actions ("from Token to Action"). The industry is entering a consolidation phase where hardware, AI models, data, and application scenarios converge to scale embodied intelligence, a trend mirrored by recent moves from giants like ByteDance and Skild AI.

marsbitHá 10m

Exclusive from Yingke | Tang Wenbin's 'Yuanli Lingji' Merges with Logistics Robotics Company, and Secures Investment from Zhipu, SenseTime, Jieyue, and Others

marsbitHá 10m

U.S. Stock Market Trends: Dow Hits New High, Nasdaq Falls, Whom Did Broadcom's Slap Wake Up?

U.S. Stocks Split: Dow Hits Record High as Nasdaq Slips; Broadcom's Plunge Sparks Rotation On June 4, the U.S. stock market saw a sharp divergence. The Dow Jones surged 875 points (+1.73%) to a record high of 51,561.93, while the Nasdaq Composite edged down 0.09%. The S&P 500 rose 0.41%. The primary catalyst was a sharp sell-off in AI-related chip stocks, led by Broadcom (AVGO). Despite reporting a 143% year-over-year jump in AI semiconductor revenue to $10.8 billion, the company's shares plunged about 14%. This was triggered by its maintained long-term AI revenue target, which failed to meet heightened expectations for a stock that had gained 55% this quarter and traded at a high P/E ratio. The slide dragged down the broader semiconductor sector and the technology板块. Conversely, money rotated into sectors like Healthcare (+3.14%), Financials (+2.67%), and Real Estate (+1.87%). UnitedHealth and Goldman Sachs were major contributors to the Dow's gains. The rotation was attributed to a search for value outside overheated tech names and a slight dip in Treasury yields. In other major news, SpaceX confirmed its IPO for June 12, targeting a record $75 billion raise at a ~$1.75 trillion valuation. Additionally, initial jobless claims rose to a four-month high, adding nuance to the labor market narrative ahead of the key May non-farm payrolls report. The day's action signaled that while the AI growth story remains intact, excessive valuations are prompting a market reassessment. Funds are moving, at least temporarily, from high-flying tech to more defensive and value-oriented sectors. The sustainability of this rotation hinges on upcoming economic data, particularly the jobs report, and the market's absorption of the massive SpaceX IPO.

marsbitHá 13m

U.S. Stock Market Trends: Dow Hits New High, Nasdaq Falls, Whom Did Broadcom's Slap Wake Up?

marsbitHá 13m

From 'Old Dogs' to 'New Darlings': How AI is Revaluing Old Infrastructure, from Dell to Nokia

"Old Dogs" Become AI's New Darlings: Revaluing Legacy Infrastructure The AI investment narrative is shifting. Beyond the spotlight on core chipmakers like Nvidia, a new wave of interest is rising for legacy tech companies—Dell, HPE, Nokia, Cisco, Corning, Western Digital—once labeled as slow-growth, outdated stories. This resurgence stems from AI's evolution from model development to real-world deployment, creating massive demand for physical infrastructure. As AI moves into data center construction and enterprise adoption, the focus turns to who can actually build and deliver complex systems. These established players hold decades of experience in supply chains, integration, networking, and enterprise delivery—assets now critical for scaling AI. The revaluation can be grouped into three key infrastructure areas: 1. **Servers & Integration (e.g., Dell, HPE):** They are becoming essential system integrators, transforming GPUs into full-scale AI servers with networking, power, and cooling, then delivering them to clients. Strong recent earnings and AI-specific revenue/order growth for Dell and HPE underscore this shift. 2. **Networking & Connectivity (e.g., Corning, Nokia, Cisco):** As AI clusters grow, high-speed data transfer becomes paramount. Corning benefits from fiber demand for data center links, Nokia is exploring AI-integrated wireless networks (AI-RAN), and Cisco sees surging orders for data center switches—all critical for efficient AI operations. 3. **Storage (e.g., Western Digital, Seagate):** The AI data explosion requires vast capacity. Beyond high-speed memory (HBM), there's growing need for high-capacity HDDs to store training data, logs, video, and cold/archival data cost-effectively. This revaluation, however, is not a blanket endorsement. True reassessment requires concrete proof: AI-driven orders and revenue growth, upward revisions to company guidance, and sustainable improvements in profit quality, not just top-line sales. In essence, AI is not turning all old tech firms into high-growth stocks; it is selectively re-pricing the "old assets" of companies that are mission-critical for building the new AI infrastructure, transforming their legacy capabilities into renewed growth engines.

marsbitHá 22m

From 'Old Dogs' to 'New Darlings': How AI is Revaluing Old Infrastructure, from Dell to Nokia

marsbitHá 22m

The Bitcoin Roadmap To $500,000: Analyst Shows How Price Will Get There

An analyst projects Bitcoin could reach $500,000 based on technical chart analysis, mapping out a multi-phase roadmap within a long-term ascending channel. The analyst, Crypto Tice, states Bitcoin has completed the first phase ("First touch") of the pattern and is entering a second phase that could trigger its strongest rally yet, potentially driving a more than 693% increase from current levels above $63,000. This would be followed by a final pullback. This outlook comes as Bitcoin faces significant selling pressure, having fallen 17% over three days to around $61,300, erasing roughly $250 billion in market cap. The downturn has also impacted other major cryptocurrencies like Ethereum. Despite the crypto market decline, U.S. equities remain near highs, creating a notable divergence that some suggest could indicate market manipulation or crypto front-running a potential stock market correction.

bitcoinistHá 34m

The Bitcoin Roadmap To $500,000: Analyst Shows How Price Will Get There

bitcoinistHá 34m

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Bem-vindo à HTX.com!Tornámos a compra de Aave Protocol (AAVE) simples e conveniente.Segue o nosso guia passo a passo para iniciar a tua jornada no mundo das criptos.Passo 1: cria a tua conta HTXUtiliza o teu e-mail ou número de telefone para te inscreveres numa conta gratuita na HTX.Desfruta de um processo de inscrição sem complicações e desbloqueia todas as funcionalidades.Obter a minha contaPasso 2: vai para Comprar Cripto e escolhe o teu método de pagamentoCartão de crédito/débito: usa o teu visa ou mastercard para comprar Aave Protocol (AAVE) instantaneamente.Saldo: usa os fundos da tua conta HTX para transacionar sem problemas.Terceiros: adicionamos métodos de pagamento populares, como Google Pay e Apple Pay, para aumentar a conveniência.P2P: transaciona diretamente com outros utilizadores na HTX.Mercado de balcão (OTC): oferecemos serviços personalizados e taxas de câmbio competitivas para os traders.Passo 3: armazena teu Aave Protocol (AAVE)Depois de comprar o teu Aave Protocol (AAVE), armazena-o na tua conta HTX.Alternativamente, podes enviá-lo para outro lugar através de transferência blockchain ou usá-lo para transacionar outras criptomoedas.Passo 4: transaciona Aave Protocol (AAVE)Transaciona facilmente Aave Protocol (AAVE) no mercado à vista da HTX.Acede simplesmente à tua conta, seleciona o teu par de trading, executa as tuas transações e monitoriza em tempo real.Oferecemos uma experiência de fácil utilização tanto para principiantes como para traders experientes.

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