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- AI Products
Generative AI
美光的专用内存和存储解决方案为所有人提供端点生成AI体验, from real-time natural language processing to personal assistants and AI artwork. 了解美光如何提供在终端设备上运行生成式AI应用程序所需的速度和容量.
Smart manufacturing
Micron puts the “AI” in quality. Our team members work side by side with AI in our smart factories, using data to transform operations and reach historic levels of output, yield and quality in our industry-leading memory and storage solutions. Learn how Micron’s solutions support AI-driven Industry 4.0 machinery.
AI in business
美光的高性能内存和存储解决方案推动了实用的商业智能. Learn about our latest high-performance solutions for machine learning, 深度学习以及美光为未来投资的专注于创新的人工智能公司.
Frequently asked questions
When it comes to AI workloads, memory plays a crucial role in determining the overall performance of the system. 人工智能工作负载通常考虑的两种主要内存类型是高带宽内存(HBM)和双数据速率(DDR)内存, specifically DDR5. Which memory is right for an AI workload depends on various factors, including the specific requirements of the AI algorithms, the scale of data processing and the overall system configuration. Both HBM3E and DDR5 offer significant advantages, and their suitability depends on the specific use case, budget and available hardware options. Micron offers the latest generation of HBM3E and DDR5.
HBM3E存储器在带宽、速度和能效方面是最高端的解决方案1 due to its advanced architecture and high-bandwidth capabilities. DDR5内存模块通常比HBM解决方案更主流，在规模上更具成本效益.
For AI workloads, the ideal storage solution depends on several factors. Key considerations should include speed, performance, capacity, reliability, endurance and scalability. 人工智能工作负载的最佳存储解决方案取决于应用程序的特定需求, your budget and your overall system configuration. Micron can offer the best-in-class NVMe SSDs for your specific needs. The Micron 9400 NVMe SSD sets a new performance benchmark for PCIe® Gen4 storage. 它的容量高达30TB，专为人工智能培训等关键工作负载而设计, high-frequency trading and database acceleration. The Micron 6500 ION NVMe SSD is the ideal high-capacity solution for networked data lakes.
Hybrid AI, sometimes referred to as distributed AI, is a blend of cloud-based and edge-based AI systems.
Currently, most AI systems are based in data centers and accessible via cloud services, offering the most potent performance for applications like generative AI.
On the other hand, edge-based AI, also known as on-device AI, 指数据处理直接在设备(如智能手机)上进行的人工智能系统, cars, personal computers and IoT devices). This eliminates the need for all data to be continuously sent to and from the cloud, improving privacy, bandwidth and latency constraints, and it can also work when there is no connection.
混合方法在云和边缘设备之间分配和协调人工智能工作负载. 平衡基于云的AI模型和直接在设备上运行的模型可以实现实时性, autonomous decisions at the edge, complemented by long-term analysis and improvement in the cloud.
In essence, 混合人工智能旨在通过利用基于云的人工智能和基于边缘的人工智能各自的优势来提供最佳的用户体验.
1Micron HBM3E provides higher memory bandwidth that exceeds 1.2TB/s and 50% more capacity for same stack height. 数据速率测试估计是基于在制造测试环境中进行的引脚速度shmoo图.
1Micron HBM3E provides higher memory bandwidth that exceeds 1.2TB/s and 50% more capacity for same stack height. 数据速率测试估计是基于在制造测试环境中进行的引脚速度shmoo图.