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SMCI Plunges 45% in 3 Months: Time to Buy, Sell or Hold the Stock?
ZACKS· 2026-01-12 15:36
Key Takeaways SMCI stock fell 44.9% in three months, lagging its industry, and now trades at a lower forward P/E.SMCI faces nine quarters of margin contraction, negative $950M free cash flow and rising inventory.SMCI targets AI-led growth via servers and DCBBS, with over 20% margins and a $36B revenue goal.Super Micro Computer (SMCI) shares have plunged 44.9% in the past three months, underperforming the Zacks Computer- Storage Devices industry and the Zacks Computer and Technology sector’s appreciation of ...
SMCI to Enter Client, Edge and Consumer AI Markets: What's Next?
ZACKS· 2026-01-09 15:51
Key Takeaways SMCI unveiled a broad AI portfolio of AI PCs, edge systems and compact servers.SMCI to enter client, edge and consumer AI markets.SMCI targets a fast-growing AI PC market as Dell and HP already compete.Super Micro Computer (SMCI) has been equipping enterprises with its rack-scale compute architecture for large-scale AI training, enterprise AI inference and training, visualization and design, content delivery and virtualization and AI edge. With this business model at play, the company projects ...
Supermicro Expands Collaboration with NVIDIA and Strengthens Compliance, Data Integrity, and Quality of U.S.-Based Manufacturing of AI Infrastructure Solutions Optimized for Government Applications
Prnewswire· 2025-10-28 18:30
Core Insights - Supermicro is showcasing advanced AI infrastructure solutions at NVIDIA GTC, emphasizing systems designed for federal customers and plans to deliver next-generation NVIDIA AI platforms in 2026 [1][5][7] Group 1: Product Offerings - Supermicro is introducing U.S.-manufactured, TAA-compliant systems, including the high-density 2OU NVIDIA HGX B300 8-GPU system, capable of supporting up to 144 GPUs per rack [1][6] - The company is expanding its portfolio with the Super AI Station based on NVIDIA GB300 and the new rack-scale NVIDIA GB200 NVL4 HPC solutions, optimized for federal environments [9][11] - The new Super AI Station delivers over 5x AI PFLOPS of computing power compared to traditional GPU workstations, making it suitable for AI model training and development [11][12] Group 2: Collaboration and Manufacturing - Supermicro's collaboration with NVIDIA aims to enhance AI training and inference performance, with a focus on U.S.-based manufacturing to ensure compliance with federal regulations [2][4][5] - The company emphasizes its San Jose headquarters for developing, constructing, and validating government-optimized systems, enhancing supply chain security [4][7] Group 3: Market Positioning - Supermicro positions itself as a trusted partner for federal AI deployments, leveraging its long-standing relationship with NVIDIA to pioneer American AI infrastructure development [2][3] - The company is optimizing its solutions for the NVIDIA AI Factory for Government reference design, which supports multiple AI workloads while meeting compliance needs [8][9]