NetApp Accelerates Malaysia's AI Ambitions With Advanced Data Infrastructure
NetApp Accelerates Malaysia's AI Ambitions With Advanced Data Infrastructure
In a significant boost to Malaysia's goal of becoming the AI hub of Southeast Asia, NetApp, a leader in intelligent data infrastructure, has announced new developments aimed at accelerating artificial intelligence (AI) innovation within the country. By providing essential data infrastructure for generative AI (GenAI), NetApp empowers Malaysian organisations to harness one of the most transformative technologies of recent years.
NetApp,智能數據基礎設施領導者,在推動馬來西亞成爲東南亞人工智能中心的目標方面取得重大進展,宣佈了旨在加快該國人工智能(AI)創新的新發展。通過爲生成式人工智能(GenAI)提供必不可少的數據基礎設施,NetApp賦予馬來西亞組織利用近年來最具變革性的技術之一的能力。
"Malaysia has made significant strides in becoming the AI hub of Southeast Asia," said Alwyn David, Country Manager, Malaysia, NetApp (pic).
「馬來西亞在成爲東南亞人工智能中心方面已經取得了重大進展,」NetApp馬來西亞國家經理阿爾溫·大衛(圖片)說。
"Building a robust, intelligent data infrastructure is key for organisations to overcome data challenges and drive AI innovation. With NetApp's latest innovations, we are positioned to empower Malaysian organisations to unlock the full value of data with AI and achieve their strategic goals."
「構建強大的智能數據基礎設施對於組織克服數據挑戰並推動人工智能創新至關重要。藉助NetApp的最新創新,我們將幫助馬來西亞組織釋放數據與人工智能的全部價值,實現他們的戰略目標。」
GenAI powers practical business applications such as content generation, summarising vast information, and interactive Q&A sessions. Gartner predicts that spending on AI software will reach $297.9 billion by 2027, with GenAI accounting for over one-third of this investment. Success in the AI era hinges on mastering data that is governable, trusted, and traceable.
GenAI驅動實用的業務應用,如內容生成、總結海量信息和互動問答環節。加特納預測,到2027年,人工智能軟件的支出將達到2979億美元,其中GenAI將佔這一投資的三分之一以上。在人工智能時代取得成功取決於掌握可管理、可信賴和可追蹤的數據。
At the NetApp INSIGHT 2024 conference, CEO George Kurian outlined a vision for data intelligence in the AI age. He emphasised that AI challenges are fundamentally data challenges and showcased how intelligent data infrastructure can secure, govern, and continually update relevant data to fuel a unified GenAI stack. They include:
在NetApp INSIGHt 2024大會上,首席執行官喬治·庫裏安概述了人工智能時代數據智能的願景。他強調,人工智能挑戰基本上是數據挑戰,並展示智能數據基礎設施如何確保、管理和不斷更新相關數據,以支持統一的GenAI堆棧。這些內容包括:
- NVIDIA DGX SuperPOD Storage Certification for NetApp ONTAP: NetApp is undergoing NVIDIA certification for its ONTAP storage system on the AFF A90 platform with NVIDIA DGX SuperPOD AI infrastructure. This will enable Malaysian organisations to utilise advanced data management for large-scale AI projects, addressing challenges associated with large language models (LLMs) without compromising data management during AI training.
- Global Metadata Namespace: The creation of a global metadata namespace allows secure exploration and management of data across hybrid multi-cloud environments. This facilitates feature extraction and data classification for AI applications, providing Malaysian businesses with the tools to innovate securely and efficiently. NetApp also announced integration with NVIDIA AI software to enhance enterprise retrieval augmented generation (RAG) for agentic AI.
- Integrated AI Data Pipeline: NetApp ONTAP now offers an integrated AI data pipeline that automates the preparation of unstructured data for AI. It captures incremental changes, performs policy-driven data classification and anonymisation, generates compressible vector embeddings, and stores them in a vector database. This enables high-scale, low-latency semantic searches and RAG inferencing, allowing Malaysian organisations to accelerate AI deployment.
- Disaggregated Storage Architecture: A new storage architecture allows full sharing of the storage backend, maximising network and flash speeds while reducing infrastructure costs. It improves performance for compute-intensive AI workloads like LLM training and conserves rack space and power—benefits that are particularly valuable for Malaysian enterprises looking to optimise resources. Integrated into NetApp ONTAP, it retains the system's resiliency, data management, security, and governance features.
- Enhanced Native Cloud Services: NetApp is enhancing its native cloud services by providing an integrated data platform for data ingestion, discovery, and cataloguing. The company is developing data processing services for data visualisation, preparation, and transformation. Prepared datasets can be securely shared and utilised with cloud providers' AI and machine learning services, including third-party solutions. NetApp plans to integrate Google Cloud NetApp Volumes as a data store for BigQuery and Vertex AI, offering Malaysian businesses seamless cloud integration.
- NetApp ONTAP獲得NVIDIA DGX SuperPOD存儲認證:NetApp正在通過NVIDIA認證其在具有NVIDIA DGX SuperPOD人工智能基礎設施的AFF A90平台上的ONTAP存儲系統。這將使馬來西亞組織能夠爲大規模人工智能項目使用先進的數據管理,解決與大型語言模型(LLM)相關的挑戰,而在人工智能訓練期間不會影響數據管理。
- 全球元數據命名空間:創建全球元數據命名空間,允許跨混合多雲環境安全探索和管理數據。這有助於爲人工智能應用提供特徵提取和數據分類,爲馬來西亞企業提供安全高效的創新工具。NetApp還宣佈與NVIDIA人工智能軟件集成,以增強企業檢索增強生成(RAG)以實現代理人人工智能。
- 美國網存ONTAP現在提供了一個集成的人工智能數據管道,自動化準備無結構數據用於人工智能。它捕獲增量更改,執行基於策略的數據分類和匿名化,生成可壓縮的向量嵌入,並將它們存儲在一個向量數據庫中。這使得能夠高比例、低延遲的語義搜索和RAG推斷,使馬來西亞組織能夠加速人工智能部署。
- 去中心化存儲架構:一種新的存儲架構允許完全共享存儲後端,最大限度地提高網絡和閃存速度,同時降低基礎設施成本。它改善了面向計算密集型人工智能工作負載的性能,如LLm訓練,並節省機架空間和功率-這些優勢對於希望優化資源的馬來西亞企業尤其有價值。它被集成到美國網存ONTAP中,保留了系統的彈性、數據管理、安全性和治理功能。
- 增強原生雲服務:美國網存通過提供集成的數據平台用於數據攝入、發現和編目來增強其原生雲服務。該公司正在爲數據可視化、準備和轉換開發數據處理服務。準備好的數據集可以與雲提供商的人工智能和機器學習服務,包括第三方解決方案,安全地共享和利用。美國網存計劃將Google雲網存卷集成爲BigQuery和vertex AI的數據存儲,爲馬來西亞企業提供無縫的雲集成。
"Organisations of all sizes in Malaysia are experimenting with GenAI to increase efficiency and accelerate innovation," said David. "By providing secure, scalable, and high-performance intelligent data infrastructure that integrates with other industry-leading platforms, NetApp helps Malaysian customers overcome barriers to implementing GenAI."
「馬來西亞各大小組織正在通過GenAI進行實驗,以提高效率和加速創新,」戴夫說。「通過提供安全、可擴展和高性能的智能數據基礎設施,並與其他業界領先的平台集成,美國網存幫助馬來西亞客戶克服實施GenAI的障礙。」
Meanwhile the company has also realised collaborations in the AI ecosystem. They include:
同時,公司還在人工智能生態系統中實現了合作。它們包括:
- Domino Data Lab Partnership: Domino Data Lab has selected Amazon FSx for NetApp ONTAP as the storage foundation for Domino Datasets in the Domino Cloud platform. This choice offers cost-effective performance and scalability, accelerating model development—a benefit that can extend to Malaysian organisations utilising Domino's solutions. Additionally, Domino and NetApp are collaborating to integrate Domino's MLOps platform directly with NetApp ONTAP, simplifying data management for AI workloads.
- Availability of AIPod with Lenovo for NVIDIA OVX: The NetApp AIPod with Lenovo ThinkSystem servers for NVIDIA OVX, announced in May 2024, is now generally available. This solution is designed for enterprises aiming to leverage generative AI and RAG capabilities to enhance productivity, streamline operations, and unlock new revenue opportunities—a significant advantage for Malaysian businesses seeking growth.
- Enhanced FlexPod AI Features: NetApp is introducing new features for its FlexPod AI solution, a hybrid infrastructure platform that accelerates modern workloads. By combining Cisco compute and networking with NetApp storage, FlexPod AI simplifies, automates, and secures AI applications. Malaysian organisations can benefit from lower costs, efficient scaling, faster time to value, and reduced risks.
- 達美樂數據實驗室合作:達美樂數據實驗室選擇Amazon FSx作爲達美樂雲平台中達美樂數據集的存儲基礎。這個選擇提供了性價比高的性能和可伸縮性,加速了模型開發——這有利於利用達美樂解決方案的馬來西亞組織。此外,達美樂和美國網存正合作將達美樂的MLOps平台直接與美國網存ONTAP集成,簡化了人工智能工作負載的數據管理。
- 聯想lenovo n3011與NVIDIA OVX合作的AIPod產品現已面向全球推出:2024年5月發佈的美國網存AIPod與聯想ThinkSystem服務器以NVIDIA OVX搭載的方案現已普遍可用。該解決方案旨在幫助企業利用生成AI和RAG能力提升生產力,簡化操作,並開啓新的營業收入機會,這對於尋求增長的馬來西亞企業來說是一個重要優勢。
- NetApp推出增強的FlexPod AI功能:NetApp爲其FlexPod AI解決方案引入新功能,這是一個加速現代工作負載的混合創新平台。通過將思科計算和網絡技術與NetApp存儲相結合,FlexPod AI可以簡化、自動化並保護AI應用。馬來西亞組織可以從降低成本、高效擴展、更快的價值實現週期和降低風險中受益。
"Implementing AI requires finely tuned technology infrastructure working in harmony," said Mike Leone, Practice Director, Data Analytics & AI at Enterprise Strategy Group. "By collaborating with other industry-leading vendors, NetApp ensures that compute, networking, storage, and AI software solutions integrate seamlessly to drive AI innovation—an assurance that is invaluable for Malaysian enterprises embarking on their AI journey."
「實施人工智能需要精密調校的科技基礎設施共同協作,」企業策略集團Data Analytics與AI實踐董事Mike Leone表示。「通過與其他行業領先供應商合作,NetApp確保計算、網絡、存儲和人工智能軟件解決方案無縫集成,推動AI創新—這種保證對於踏上人工智能征程的馬來西亞企業而言是無價的。」