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NetApp ONTAP AI Is One Of The First Reference Architectures With Mellanox Spectrum Switches

Mike McNamara
Mike McNamara

NetApp ONTAP AI Is One Of The First Reference Arch - Inline Image 1Assembly and integration of off-the-shelf deep learning (DL) and machine learning (ML) compute, storage, networking, and software components can increase your system’s complexity and lengthen deployment times. As a result, your valuable data science resources are wasted on systems integration work. It’s difficult to achieve predictable and scalable artificial intelligence (AI) performance, and keeping a DL and ML infrastructure up and running requires you to have deep, full-stack AI expertise.

NetApp can help you fully realize the promise of AI by simplifying, accelerating, and integrating your data pipeline with the NetApp® ONTAP® AI proven architecture. ONTAP AI is powered by NVIDIA DGX servers and NetApp cloud-connected all-flash storage.

And it keeps getting better. NetApp ONTAP AI is now supported and has been tested with Mellanox Spectrum Ethernet Switches. With NetApp, you can now deploy the first reference architecture for AI and machine learning (ML) with NVIDIA DGX-1 servers and Mellanox Ethernet switches.

This architecture consists of nine DGX-1 servers with a single NetApp AFF A800 all-flash storage system, and you get perfectly linear performance scalability of up to 72 GPUs. Mellanox Spectrum Ethernet Switches with Onyx OS give your system high bandwidth and low latency. You get full Converged Enhanced Ethernet (CEE) feature support so that you can use RDMA over Converged Ethernet (RoCE) for GPU interconnect.

NetApp ONTAP AI Is One Of The First Reference Arch - Inline Image 2Based on the validation testing results, the ONTAP AI architecture delivers excellent training and inferencing performance. The results also demonstrate adequate storage headroom to support additional DGX-1 systems that you might want to deploy. You can easily and independently scale your compute and storage resources from half-rack to multirack configurations and achieve predictable performance to meet any of your ML workload requirements. For more details about the testing, read the NetApp Verified Architecture report.

NetApp ONTAP AI Is One Of The First Reference Arch - Inline Image 3

Mike McNamara

Mike McNamara

Mike McNamara 是 NetApp 產品和解決方案行銷的資深主管,在資料管理和雲端儲存行銷領域擁有超過 25 年的豐富經驗。在十年前加入 NetApp 之前,Mike 曾任職於 Adaptec、Dell EMC 和 HPE 等公司。Mike 是推出第一方雲端儲存產品和業界第一款雲端連線 AI/ML 解決方案 (NetApp)、統一化橫向擴充和混合雲儲存系統與軟體 (NetApp)、iSCSI 和 SAS 儲存系統與軟體 (Adaptec),以及光纖通道儲存系統 (EMC CLARiiON) 的重要團隊領導者。此外他曾經擔任「光纖通道產業協會 (Fibre Channel Industry Association,FCIA)」的行銷主席,也是乙太網路技術高峰會議顧問委員會、乙太網路聯盟的成員,現在仍定期為業界期刊撰稿,並經常擔任活動講師。Mike 還透過 FriesenPress 出版了一本名為《橫向擴充儲存設備 - 企業資料管理的未來樣貌》的書籍,並被 Kapos 列為值得關注的 50 名 B2B 產品行銷人員。查看 Mike McNamara 的所有文章

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ONTAP AI Is the First Reference Architecture with Mellanox Spectrum Switches | NetApp Blog