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Supermicro’s Q1 Outlook Weakens. What’s Next for SMCI Stock?
Yahoo Finance· 2025-10-27 20:13
Core Viewpoint - Supermicro has lowered its revenue outlook for Q1 fiscal 2026 to approximately $5 billion, down from an earlier forecast of $6 to $7 billion, indicating a shift in expected revenue due to design win upgrades [1] Revenue Outlook - The revised forecast suggests a significant slowdown in growth for Supermicro, which previously reported $5.8 billion in revenue for the last quarter, reflecting a 7.4% year-over-year increase [2] - The company is now anticipating a year-over-year decline in sales for Q1 fiscal 2026, as it generated $5.94 billion in the same quarter last year [3] Profitability Impact - Analysts project that Supermicro's earnings per share (EPS) will decline nearly 46.3% year-over-year to $0.36 in Q1, indicating potential margin pressure due to slower revenue growth [3] Long-Term Prospects - Despite the short-term challenges, Supermicro continues to experience strong demand for its next-generation Blackwell Ultra systems, which utilize Nvidia's latest architecture [4] - The company has announced design wins exceeding $12 billion, with many orders expected for delivery in Q2 fiscal 2026, and customer engagement for new AI solutions is at record levels [5]
Is Supermicro Stock The AI Winner Everyone's Overlooking?
Benzinga· 2025-09-12 16:44
Core Insights - Super Micro Computer Inc (SMCI) is experiencing significant growth due to its AI hardware offerings, with a stock increase of 5.3% following the announcement of global shipments of its Nvidia Blackwell Ultra-powered systems [1][2]. Group 1: Product and Performance - The Blackwell Ultra systems, including NVIDIA HGX B300 and GB300 NVL72 racks, offer up to 7.5 times the performance of Nvidia's Hopper platform, 50% more HBM3e memory, and up to 1.1 exaFLOPS of FP4 compute [3]. - Liquid cooling technology in these systems can reduce power consumption by up to 40%, addressing critical challenges in AI data center growth [3]. Group 2: Market Positioning - Supermicro is establishing itself as a comprehensive solution provider for AI infrastructure, with over 10 new SKUs featuring Blackwell and Blackwell Ultra, simplifying deployment for enterprise and hyperscale customers [4]. - The company is transitioning from a niche hardware supplier to a key player in the global AI factory ecosystem, benefiting from the convergence of Nvidia's chip dominance and OpenAI's data center ambitions [5]. Group 3: Financial Performance - As of the latest publication, SMCI shares were trading at $45.48, reflecting a 3.49% increase, and the stock is within a 52-week range of $17.25 to $66.43 [6].
Nvidia's Huang says faster chips are the best way to reduce AI costs
CNBC· 2025-03-19 18:16
Core Insights - Nvidia's CEO Jensen Huang emphasized the importance of acquiring the fastest chips for enhanced performance and cost efficiency in AI applications [1][2] - The company is witnessing a significant increase in demand for its Blackwell GPUs, with major cloud providers purchasing 3.6 million units, indicating a strong market trend towards advanced AI infrastructure [5][4] Group 1: Product and Performance - Nvidia's Blackwell Ultra systems are projected to generate 50 times more revenue for data centers compared to the previous Hopper systems due to their superior speed in serving AI to multiple users [4] - The company is focusing on the economics of faster chips, highlighting that improved performance will lead to reduced costs for cloud providers [2][3] Group 2: Market Demand and Future Plans - Major cloud providers have already invested heavily in Nvidia's Blackwell GPUs, increasing their purchases from 1.3 million Hopper GPUs to 3.6 million Blackwell GPUs [5] - Nvidia has outlined its roadmap for future AI chips, including the Rubin Next and Feynman AI chips, to align with cloud customers' plans for expensive data centers [5] Group 3: Industry Dynamics - Huang expressed confidence that the demand for AI infrastructure will lead to several hundred billion dollars in investments over the next few years, with cloud providers already securing budgets and resources [6] - The CEO dismissed the potential threat from custom chips developed by cloud providers, arguing that they lack the flexibility needed for rapidly evolving AI algorithms [6][7]