AMD Instinct MI350 Series GPUs
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The Zacks Analyst Blog Advanced Micro Devices, Oracle and NVIDIA
ZACKS· 2025-11-07 14:46
Core Insights - Advanced Micro Devices, Inc. (AMD) reported strong Q3 earnings, exceeding Wall Street expectations with revenues of $9.25 billion, a 36% year-over-year increase, and raised its future guidance [3][5] - AMD's partnerships with OpenAI and Oracle are expected to significantly enhance its AI segment and long-term growth prospects [7][8] - Despite strong performance, AMD's stock may be overvalued, trading at a P/E ratio of 65.15 compared to the industry average of 33.44, suggesting caution for new investors [10] Financial Performance - AMD's Q3 revenues reached $9.25 billion, up 36% year-over-year, with a net income of $2 billion and a gross margin of 52% [3][6] - The data center segment generated $4.3 billion in revenue, up from $3.5 billion a year ago, while the client division and gaming units reported revenues of $2.9 billion and $1.3 billion, respectively [4] - The company anticipates Q4 revenues between $9.3 billion and $9.9 billion, again exceeding analysts' forecasts [5] Strategic Partnerships - AMD secured a deal with OpenAI to supply 6 gigawatts of GPUs, starting with 1 gigawatt of AMD Instinct MI450 GPUs in early 2026, with OpenAI acquiring nearly 160 million shares of AMD [7] - Oracle has agreed to deploy 50,000 AMD GPUs across its data centers, launching the first public AI supercluster using AMD's technology in Q3 2026 [8] Market Position and Outlook - AMD's strong Q3 performance and strategic partnerships have solidified its position in the large-scale AI infrastructure market, which is primarily dominated by NVIDIA [9][10] - The company holds a Zacks Rank 3 (Hold), indicating a cautious approach for potential investors [11]
AMD Stock After Strong Q3 Earnings - Still a Buy or Overvalued?
ZACKS· 2025-11-06 21:01
Core Insights - Advanced Micro Devices, Inc. (AMD) reported a strong third quarter with revenues of $9.25 billion, a 36% increase year over year, and raised its future guidance due to robust demand for its products, particularly in the AI and high-performance computing sectors [2][4] - The company secured significant partnerships with OpenAI and Oracle, which are expected to enhance its position in the AI infrastructure market [6][7] Financial Performance - AMD's third-quarter earnings exceeded expectations, with a net income of $2 billion, a gross margin of 52%, and earnings per share of $1.20 [5] - The data center segment generated $4.3 billion in revenue, up from $3.5 billion a year ago, while the client division and gaming units reported revenues of $2.9 billion and $1.3 billion, respectively, all surpassing analyst estimates [3][4] Strategic Partnerships - AMD's agreement with OpenAI involves supplying 6 gigawatts of GPUs for data centers, starting with 1 gigawatt of AMD Instinct MI450 GPUs in early 2026, with OpenAI acquiring nearly 160 million shares of AMD [6] - Oracle will deploy 50,000 AMD GPUs across its data centers, launching the first public AI supercluster using AMD's technology in the third quarter of 2026 [7] Market Position and Valuation - AMD's strong performance and strategic partnerships solidify its position in the AI infrastructure market, which is currently dominated by NVIDIA [8][9] - Despite growth prospects, AMD's stock trades at a high forward P/E ratio of 65.15, compared to the industry average of 33.44, indicating potential overvaluation [9][10]
AMD(AMD) - 2025 Q3 - Earnings Call Presentation
2025-11-04 22:00
Financial Performance - AMD reported record Q3 2025 revenue of $9.2 billion, a 36% year-over-year increase[17] - The GAAP gross margin was 52%, up 2 percentage points year-over-year[21,29] - Non-GAAP gross margin was 54%, flat year-over-year[21,30] - GAAP diluted earnings per share (EPS) increased 60% year-over-year to $0.75[27,29] - Non-GAAP diluted EPS increased 30% year-over-year to $1.20[27,30] Segment Results - Data Center revenue reached $4.3 billion, a 22% year-over-year increase[31,34] - Client & Gaming segment revenue was $4.0 billion, up 73% year-over-year[31,36] - Embedded segment revenue was $857 million, down 8% year-over-year[31,37] Q4 2025 Outlook (Non-GAAP) - Revenue is expected to be approximately $9.6 billion, plus or minus $300 million[38] - Gross margin is projected to be around 54.5%[38]
Supermicro Delivers Performance and Efficiency Optimized Liquid-Cooled and Air-Cooled AI Solutions with AMD Instinct™ MI350 Series GPUs and Platforms
Prnewswire· 2025-06-12 18:35
Core Viewpoint - Supermicro is launching new GPU solutions featuring AMD Instinct MI350 series GPUs, designed for high performance, scalability, and efficiency in AI-driven data centers [1][2][3] Company Overview - Supermicro is a global leader in Application-Optimized Total IT Solutions, focusing on Enterprise, Cloud, AI, and 5G Telco/Edge IT Infrastructure [8] - The company emphasizes innovation and efficiency in its product offerings, which include servers, AI, storage, IoT, and networking solutions [8] Product Features - The new Supermicro H14 generation GPU solutions support both liquid-cooled and air-cooled configurations, providing flexibility for various deployment environments [4][7] - These systems utilize dual AMD EPYC 9005 CPUs and AMD Instinct MI350 series GPUs, enhancing performance for AI, HPC, Cloud, and Enterprise workloads [3][5] - The AMD Instinct MI350 series GPUs deliver up to 40% more tokens-per-dollar compared to competitors, optimizing cost efficiency for customers [4] Performance Metrics - The new GPU servers offer 288GB HBM3e memory per GPU, which is a 1.5x increase in memory capacity compared to previous generations, and 8TB/s bandwidth [5] - The systems are designed to maximize computational throughput and energy efficiency, enabling faster processing for AI workloads [5][6] Market Position - Supermicro's integration of AMD MI350 series GPUs into its offerings demonstrates a commitment to providing advanced solutions for AI training and inference [6][7] - The company aims to support the growing demand for scalable and efficient infrastructure in AI applications across cloud service providers and enterprises [7]