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Astera 兩倍做多 ETF

LABX

8.86012.87% ( +1.010 )
已收盤: 9月16日 16:00:00 (美東)
開始交易
概覽概覽期權鏈期權鏈新聞新聞討論討論簡況簡況評級評級成分成分分紅分紅
LongbridgeAI

Astera 兩倍做多 ETF (LABX)

今開
8.060
最高
9.020
最低
8.000
昨收
7.850
成交量
126.78 萬股
成交額
1,096.40 萬
平均價
8.648
委比
44.13%
振幅
12.99%
52 週高
39.042
量比
2.04
換手率
26.41%
52 週低
2.000
流通市值
4,252.70 萬
股息率TTM
--
股息TTM
--
單位淨值
--
淨值日期
--
折溢價率
--
總發行量
479.99 萬股
資產規模
4,252.70 萬
每手
1
貨幣
USD

新聞

  • TradingKey · 18 小時前

    Astera Labs Inc 的股票(ALAB)在 9 月 16 日上漲了 7.31%:這釋放了什麼信號?

  • Market Beat · 19 小時前

    Twin Peaks Capital Ltd 購入了 Astera Labs, Inc.的 10,000 股股票,股票代碼為$ALAB

  • DolphinResearch · 前日 10:46

    AMD vs. NVDA: Can Helios Measure Up?

  • 美股行情速遞 · 前日 16:12

    Astera Labs盤中急跌 現跌超10%

  • 美股行情速遞 · 前日 13:34

    Astera Labs盤中跌超8%

  • Tip Ranks · 9月14日 凌晨01:16

    Astera Labs, Inc. (ALAB) 獲得了 Susquehanna 的持有評級

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看漲 vs 看跌 · 近 3 個月

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  • N
    NewUser_Unm6i收益排行資產規模19 小時前

    Q1C Q2C

    昨日,布倫特原油下跌約 1.6%,至每桶約 107 美元;WTI 原油下跌約 2.5%,至每桶約 103 美元。沙特阿拉伯通過阿曼增加原油供應,暫時緩解了市場對中東主要供應中斷的擔憂。

    路透社調查顯示,高盛、摩根大通、滙豐和德意志銀行已轉向預測今晚(美東時間)加息 25 個基點,市場主流共識也明顯傾向於加息。

    美國 10 年期國債收益率近期突破 5% 關口,這是自 2007 年以來首次。4.5% 與超過 5% 的收益率代表了兩種完全不同的估值環境,對高估值科技股影響巨大。

    這影響了高增長、高貝塔值的股票——NVDA、ALAB、APLD、RGTI、CRWV 和 NBIS。

    C
    Captain's Compass
    【宏觀熱點預測】美聯儲之夜:加息終於來了嗎?

    今晚新加坡時間凌晨 2 點,美聯儲預計將時隔三年首次加息 25 個基點,至 3.75%–4.00% 區間。過去兩年裏,大家的問題是 “何時會...

  • H
    Hardik Shah昨日 13:10

    📢 𝗝𝗨𝗦𝗧 𝗜𝗡: $Astera Labs(ALAB.US) Astera Labs Launches New Leo Memory Solutions for Agentic AI Infrastructure

    👉 𝗞𝗲𝘆 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀:

    ➤ 𝗔𝘀𝘁𝗲𝗿𝗮 𝗟𝗮𝗯𝘀 launches new 𝗟𝗲𝗼 𝗫-𝗦𝗲𝗿𝗶𝗲𝘀 and 𝗟𝗲𝗼 𝟮 memory controllers.

    ➤ Leo X-Series targets 𝗞𝗩-𝗰𝗮𝗰𝗵𝗲-intensive, long-context agentic AI inference workloads.

    ➤ Leo X-Series delivers up to 𝟲𝟮% faster time-to-first-token.

    ➤ Platform delivers up to 𝟮𝟮% more tokens per second.

    ➤ Leo 2 doubles 𝗺𝗲𝗺𝗼𝗿𝘆 𝗯𝗮𝗻𝗱𝘄𝗶𝗱𝘁𝗵 and capacity versus previous generation.

    ➤ New controllers support 𝗗𝗗𝗥𝟰, 𝗗𝗗𝗥𝟱, 𝗣𝗖𝗜𝗲 𝟲 and 𝗖𝗫𝗟 𝟯.𝟮.

    ➤ Leo 2 enables memory expansion, pooling, sharing, and 𝗗𝗗𝗥𝟰 reuse.

    ➤ Astera reports growing design wins across 𝗔𝗜 𝗹𝗮𝗯𝘀, hyperscalers, and neoclouds.

    ➤ New Leo products are 𝘀𝗮𝗺𝗽𝗹𝗶𝗻𝗴 𝘁𝗼𝗱𝗮𝘆 with hyperscaler customers.

    ➤ Development involved 𝗔𝗠𝗗, 𝗔𝗿𝗺, 𝗜𝗻𝘁𝗲𝗹 and major memory suppliers.

    👉 𝗪𝗵𝘆 𝗧𝗵𝗶𝘀 𝗠𝗮𝘁𝘁𝗲𝗿𝘀:

    ➤ Agentic AI is rapidly increasing demand for 𝗺𝗲𝗺𝗼𝗿𝘆 𝗰𝗮𝗽𝗮𝗰𝗶𝘁𝘆 and bandwidth.

    ➤ Faster KV-cache access can improve 𝗔𝗜 𝗶𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 economics and responsiveness.

    ➤ Memory pooling and reuse could reduce expensive 𝗗𝗥𝗔𝗠 over-provisioning.

    ➤ Growing design wins could expand Astera's exposure to 𝗿𝗮𝗰𝗸-𝘀𝗰𝗮𝗹𝗲 𝗔𝗜 infrastructure.

    👉 𝗘𝘅𝗽𝗲𝗿𝘁 𝗦𝘁𝗮𝘁𝗲𝗺𝗲𝗻𝘁𝘀:

    𝗠𝗮𝘁𝘁 𝗞𝗶𝗺𝗯𝗮𝗹𝗹, Vice President and Principal Analyst at Moor Insights & Strategy:

    “Agentic AI adoption is outpacing the industry's ability to provision memory for it, and that gap is widening every quarter," said Matt Kimball, vice president and principal analyst at Moor Insights & Strategy. "That growth is landing at the worst possible time for memory supply, with DDR5 tight and pricing climbing, so every gigabyte already deployed has to work harder. The new Leo X-Series and Leo 2 E and P-Series Smart Memory Controllers immediately address KV-cache-intensive AI workloads, improve memory utilization, and reliably reuse previously deployed memory across both AI and general-purpose cloud infrastructure, instead of simply buying more of it."

    𝗧𝗵𝗮𝗱 𝗢𝗺𝘂𝗿𝗮, Senior Vice President, Compute Connectivity Group at Astera Labs:

    “Agentic AI is where the economics of AI infrastructure are being decided, and those economics depend on putting every usable gigabyte of memory to work,” said Thad Omura, senior vice president, Compute Connectivity Group at Astera Labs. “The enhanced Leo family gives infrastructure providers purpose-built ways to connect memory to accelerators, CPUs, and hosts across the rack—turning previously deployed and stranded capacity into a resource that new AI and cloud workloads can use. We're seeing that translate into broader customer engagement across AI labs, hyperscalers, and neoclouds.”

    𝗥𝗼𝗯𝗲𝗿𝘁 𝗛𝗼𝗿𝗺𝘂𝘁𝗵, Corporate Vice President, Architecture and Strategy at AMD:

    “Agentic AI is increasing demand for balanced systems that can move and process more data without sacrificing efficiency. AMD EPYC processors deliver leadership performance, exceptional memory bandwidth and capacity, and high-speed I/O across the broadly deployed x86 platform. Our collaboration with Astera Labs around CXL extends that foundation, giving customers greater flexibility to scale memory-intensive AI and cloud workloads and improve infrastructure utilization.”

    𝗘𝗱𝗱𝗶𝗲 𝗥𝗮𝗺𝗶𝗿𝗲𝘇, Vice President of Go-To-Market, Cloud AI, Arm:

    “As AI infrastructure evolves, agentic AI, reinforcement learning and database workloads are driving demand for higher-capacity memory. Arm and Astera Labs are working together to pair Arm AGI CPU with Leo CXL Smart Memory Controllers, helping customers meet these growing requirements while maintaining scalable performance.”

    𝗦𝗿𝗶𝗻𝗶 𝗞𝗿𝗶𝘀𝗵𝗻𝗮, Fellow at Intel Data Center Group:

    "CXL was created to bring greater flexibility and efficiency to memory across the data center. Technologies like Astera Labs' Leo Smart Memory Controllers help turn that vision into reality, demonstrating how ecosystem innovation can help customers get more out of their AI infrastructure and support the next generation of data-intensive workloads."

    𝗝𝗮𝗻𝗴𝘀𝗲𝗼𝗸 𝗖𝗵𝗼𝗶, Vice President of Product Planning Team at Samsung Electronics:

    "We are contributing to the evolution of AI infrastructure through the development of CXL memory solutions designed to help address the growing memory demands of modern data centers. We are excited to collaborate with Astera Labs to help ensure our DRAM solution offer strong interoperability within the evolving CXL ecosystem, and remain committed to supporting a scalable, high-performance memory architecture for the AI era."

  • D
    Dolphin Research前日 10:46

    AMD 跟英偉達 “掰手腕”,Helios 夠格嗎?

    對外銷售的商用 GPU 市場目前主要是$英偉達(NVDA.US) 和 $AMD(AMD.US) 兩家。MI300 時代 AMD 因為缺少系統級方案(所謂系統,核心就是互連方案)幾乎沒有吃到 AI 算力的紅利。但是現在 Helios 來了,那麼:1)AMD 是否真正具備了與英偉達同台掰手腕的能力?2)在互連方案的競爭與迭代中,到底有哪些產業鏈邏輯變化,誰受益誰吃虧?我們將從互連的角度來研究這一問題...

    AI
    Metric/Protocols NVLink 5.0 NVLink 6.0 UALink1.0 UALoE Bandwidth per lane/ link
    Figure 1: Total AI/ML Networking Market Other (PCIe, UALink, 一sco兰云凹u3cu>u& Othe
    AMD MI300X Intra-tray Connectivity AMDMI300X INFINITY PLATFORM" 8x AMD Instinct"+32
    深度