Machine learning vs. AI? What are the differences?

The classic definition of artificial intelligence is the science and engineering of making intelligent machines. Machine learning is a subfield or branch of AI that involves complex algorithms, such as neural networks, decision trees and large language models (LLMs) with structured and unstructured data to determine outcomes. Classifications or predictions based on certain input criteria are made based upon these algorithms. Examples of machine learning are recommendation engines, facial recognition systems and autonomous vehicles.

What memory is best for AI workloads?

When it comes to AI workloads, memory plays a crucial role in determining the overall performance of the system. Two prominent types of memory that are often considered for AI workloads are high-bandwidth memory (HBM) and double data rate (DDR) memory, 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 memory is the highest end solution in terms of bandwidth, speed and energy efficiency1 due to its advanced architecture and high-bandwidth capabilities. DDR5 memory modules are generally more mainstream and cost-effective at scale than HBM solutions.

What storage is best for AI workloads?

For AI workloads, the ideal storage solution depends on several factors. Key considerations should include speed, performance, capacity, reliability, endurance and scalability. The best storage solution for AI workloads depends on the specific demands of your applications, 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. It packs in up to 30TB of capacity and is designed for critical workloads like AI training, high-frequency trading, and database acceleration. The Micron 6500 ION NVMe SSD is the ideal high-capacity solution for networked data lakes.

人工智慧和機器學習

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人工智慧和機器學習

Intelligence Accelerated^™

美光領先業界的技術打造最新一代更快速的智慧型全球基礎架構，使人工智慧 (AI)、機器學習以及生成式 AI 得以實現。

Making AI less artificial with data

Micron’s industry-leading memory and storage solutions enable the latest generation of faster, more intelligent global infrastructures that make AI, machine learning and generative AI possible. From collaborative robots to personal AI companions, complex AI models are created from data and data lives in Micron solutions.

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智慧製造

美光將「AI」融入品質中。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. Sign up for our AI newsletter to learn how Micron’s solutions support AI-driven Industry 4.0 machinery.

生成式 AI

Micron’s purpose-built memory and storage solutions enable endpoint generative AI experiences for all, from real-time natural language processing to personal AI digital assistants and AI artwork. Micron products enable AI by bringing the speed and capacity required to run complex algorithms on endpoint devices.

AI 在商業大放異彩

美光的高效能記憶體與儲存解決方案推動實用商業智慧。註冊即可收到我們的 AI 電子報，優先得知我們的最新高效能解決方案如何驅動機器學習、深度學習和實用 AI 商業應用程式，例如：電子商務的個人推薦引擎，以及符合智慧財產權 (IP) 規範的生成式 AI 模型。

註冊即可收到電子報

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AI can help people with disabilities

Micron’s Eric Booth explains how advances in AI, natural language processing, 5G technology, and memory, storage and processing are enhancing the lives of people with speech and hearing disabilities.

資訊圖表

We didn’t write this, AI did

We wanted an infographic about AI training and inference. We asked generative AI to help write it.

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What is generative AI? – and what’s next?

Generative AI is fun to play with but promises to be much more than that. It is already transforming industries from automotive manufacturing to pharmaceuticals. How can it transform your industry?

Engineer using generative AI technology in semiconductor manufacturing environment.

部落格

生成式 AI：創新浪潮來襲

生成式 AI 不只是流行語。而是美光在業務和製造的許多方面所使用的顛覆性技術，讓美光團隊成員能夠在整個工作日與 AI 並肩合作。

美光的 AI 產品方案

HBM3E

The industry’s fastest, highest-capacity¹ high-bandwidth memory is Micron’s next generation of AI memory, HBM3E. 我們的記憶體在專為認知技術所設計的最精密運算平台上，支援 AI 訓練與加速。

Learn more about HBM3E >

DDR5

AI 伺服器平台要達到效能卓越，需要超大容量的記憶體，而 DDR5 正是速度最快的主流記憶體解決方案，專為滿足資料中心工作負載的需求所設計。美光的高密度模組提供滿足 AI 系統極大量資料所需的容量。

深入瞭解 DDR5 >

資料中心 SSD

From networked data lakes to local data caches, Micron’s portfolio of NVMe™ SSDs offer the performance and capacity to support the immense data storage needs of AI training and inference.

Learn more about Micron SSDs >

LPDDR5X

要在手機等終端裝置上提升 AI 驅動的使用者體驗，關鍵在於達到節能和效能的平衡。美光 LPDDR5X 提供您所需的速度和頻寬，讓您隨時可使用強大的生成式 AI。

深入瞭解 LPDDR5X >

常見問答

比較機器學習與 AI，兩者有何不同？

人工智慧的經典定義是創造智慧型機器的科學與工程設計。機器學習則是 AI 的子領域或分支，涉及複雜的演算法，例如：神經網路、決策樹以及大型語言模型（LLM），透過處理結構化和非結構化資料來判斷結果。根據上述演算法而做出依據特定輸入準則的分類或預測。推薦引擎、臉部識別系統以及自動駕駛車輛都是機器學習的例子。

何種記憶體最適合用於處理 AI 工作負載？

處理 AI 工作負載時，記憶體在判斷系統整體效能上扮演關鍵角色。常被視為適合用於處理 AI 工作負載的兩大類記憶體，分別是高頻寬記憶體（HBM）以及雙倍資料速率（DDR）記憶體，具體來說是 DDR5。何種記憶體適合用於處理 AI 工作負載，取決於不同因素，包括：AI 演算法的特定要求、資料處理規模以及整體系統配置。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 memory is the highest end solution in terms of bandwidth, speed and energy efficiency¹ due to its advanced architecture and high-bandwidth capabilities. 與 HBM 解決方案相比，DDR5 記憶體模組一般較為主流且規模成本效益較高。

何種儲存裝置最適合用於處理 AI 工作負載？

對於 AI 工作負載，最理想的儲存解決方案取決於幾種因素。關鍵考量重點應包括速度、效能、容量、可靠性、耐用性以及可擴充性。最適合用於處理 AI 工作負載的儲存解決方案取決於應用程式的特定需求、預算以及整體系統配置。美光能夠提供滿足您特定需求的同級最佳 NVMe SSD。美光 9400 SSD 為 PCIe® Gen4 儲存裝置樹立了新的效能標竿。裝載高達 30TB 的容量，專為處理關鍵工作負載所設計，例如：AI 訓練、高頻率交易以及資料庫加速。美光 6500 ION NVMe SSD 是支援網路資料湖的最佳高容量解決方案。

¹ Micron HBM3E provides higher memory bandwidth that exceeds 1.2TB/s and 50% more capacity for same stack height. 資料速率測試估計是根據製造測試環境中執行的 Pin 速度 Shmoo 圖。

² 在忙碌的 GDS 系統中執行 4KB 傳輸時，與競爭產品相比，效能提高 25% 且回應時間減少 23%。

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