{"id":17436,"date":"2025-01-29T10:21:06","date_gmt":"2025-01-29T03:21:06","guid":{"rendered":"https:\/\/thaipropertynews.com\/feeds\/?p=17436"},"modified":"2025-01-29T10:21:06","modified_gmt":"2025-01-29T03:21:06","slug":"expanding-needs-of-ai-data-centers-have-profound-effects-on-server-vendors-roles","status":"publish","type":"post","link":"https:\/\/thaipropertynews.com\/feeds\/?p=17436","title":{"rendered":"Expanding Needs of AI Data Centers Have Profound Effects on Server Vendor’s Roles"},"content":{"rendered":"\n\n\n
\"\"<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

The rise in compute density and larger clusters, along with more powerful cooling systems, stretches current infrastructure limits and complicates new deployments<\/i><\/p>\n

NEW YORK<\/span><\/span>, Jan. 28, 2025<\/span><\/span> \/PRNewswire\/ — The enormous demand for generative Artificial Intelligence (AI) has led to unprecedented CAPEX by hyperscalers, foundation model builders, and those capitalizing on the exploding demand for compute. Global technology intelligence firm ABI Research<\/b>‘s discussions across the value chain have exposed the dynamics in the rapidly evolving AI server market, powering the race to increase the efficiency and accuracy of generative AI models.<\/p>\n

“The rapid pace of silicon innovation has left space for differentiation,” explains Paul Schell<\/span>, Industry Analyst at ABI Research. “The expertise needed to plan, deploy, and run today’s high-performance accelerator clusters has created the opportunity for those with the in-house engineering talent to leverage their organizational capital, capture more value, and ride the generative AI wave.”<\/p>\n

The professional services offered by Tier One OEMs Supermicro<\/a>, HPE<\/a>, Dell<\/a>, and Lenovo<\/a>, and challengers like Penguin Solutions<\/a>, are increasingly seen as a necessary part of their AI server go-to-market. Furthermore, the offering of ‘burnt-in’ solutions that cater to various end-customers and deployment sizes helps end customers deploy with fewer hurdles, accelerating the monetization of their AI product.<\/p>\n

“Time to market matters more than usual in the current stage of the AI race, and AI server vendors able to offer their customers the agility they seek will come out on top”, explains Paul Schell<\/span>. “In addition, cluster management software that can squeeze more out of the pricey hardware is of enormous value \u2013 both monetary and operational \u2013 for customers without an extensive legacy in AI or HPC compute.”<\/p>\n

These findings are from ABI Research’s AI Server OEM\/ODM Market<\/a> report.\u00a0This report is part of the company’s\u00a0AI & Machine Learning<\/a>\u00a0research service, which includes research, data, and ABI Insights.\u00a0<\/p>\n

About ABI Research<\/b><\/p>\n

ABI Research is a global technology intelligence firm uniquely positioned at the intersection of technology solution providers and end-market companies. We serve as the bridge that seamlessly connects these two segments by providing exclusive research and expert guidance to drive successful technology implementations and deliver strategies proven to attract and retain customers.<\/p>\n

ABI Research\u662f\u4e00\u5bb6\u5168\u7403\u6027\u7684\u6280\u672f\u60c5\u62a5\u516c\u53f8\uff0c\u62e5\u6709\u5f97\u5929\u72ec\u539a\u7684\u4f18\u52bf\uff0c\u5145\u5f53\u7ec8\u7aef\u5e02\u573a\u516c\u53f8\u548c\u6280\u672f\u89e3\u51b3\u65b9\u6848\u63d0\u4f9b\u5546\u4e4b\u95f4\u7684\u6865\u6881\uff0c\u901a\u8fc7\u63d0\u4f9b\u72ec\u5bb6\u7814\u7a76\u548c\u4e13\u4e1a\u6027\u6307\u5bfc\uff0c\u63a8\u52a8\u6210\u529f\u7684\u6280\u672f\u5b9e\u65bd\u548c\u63d0\u4f9b\u7ecf\u8bc1\u660e\u53ef\u5438\u5f15\u548c\u7559\u4f4f\u5ba2\u6237\u7684\u6218\u7565\uff0c\u65e0\u7f1d\u8fde\u63a5\u8fd9\u4e24\u5927\u4e3b\u4f53\u3002<\/p>\n

For more information about ABI Research’s services, contact us at +1.516.624.2500 in the Americas, +44.203.326.0140 in Europe<\/span>, +65.6592.0290 in Asia-Pacific<\/span>, or visit\u00a0www.abiresearch.com<\/a>.<\/p>\n

Contact Info<\/b>:\u00a0<\/p>\n

Global
<\/b>Deborah Petrara<\/span> \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0
Tel: +1.516.624.2558\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0
pr@abiresearch.com<\/a>\u00a0 \u00a0 \u00a0<\/p>","protected":false},"excerpt":{"rendered":"

<\/p>\n\n\n\n
\"\"<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

The rise in compute density and larger clusters, along with more powerful cooling systems, stretches current infrastructure limits and complicates new deployments<\/i><\/p>\n

NEW YORK<\/span><\/span>, Jan. 28, 2025<\/span><\/span> \/PRNewswire\/ — The enormous demand for generative Artificial Intelligence (AI) has led to unprecedented CAPEX by hyperscalers, foundation model builders, and those capitalizing on the exploding demand for compute. Global technology intelligence firm ABI Research<\/b>‘s discussions across the value chain have exposed the dynamics in the rapidly evolving AI server market, powering the race to increase the efficiency and accuracy of generative AI models.<\/p>\n

“The rapid pace of silicon innovation has left space for differentiation,” explains Paul Schell<\/span>, Industry Analyst at ABI Research. “The expertise needed to plan, deploy, and run today’s high-performance accelerator clusters has created the opportunity for those with the in-house engineering talent to leverage their organizational capital, capture more value, and ride the generative AI wave.”<\/p>\n

The professional services offered by Tier One OEMs Supermicro<\/a>, HPE<\/a>, Dell<\/a>, and Lenovo<\/a>, and challengers like Penguin Solutions<\/a>, are increasingly seen as a necessary part of their AI server go-to-market. Furthermore, the offering of ‘burnt-in’ solutions that cater to various end-customers and deployment sizes helps end customers deploy with fewer hurdles, accelerating the monetization of their AI product.<\/p>\n

“Time to market matters more than usual in the current stage of the AI race, and AI server vendors able to offer their customers the agility they seek will come out on top”, explains Paul Schell<\/span>. “In addition, cluster management software that can squeeze more out of the pricey hardware is of enormous value \u2013 both monetary and operational \u2013 for customers without an extensive legacy in AI or HPC compute.”<\/p>\n

These findings are from ABI Research’s AI Server OEM\/ODM Market<\/a> report.\u00a0This report is part of the company’s\u00a0AI & Machine Learning<\/a>\u00a0research service, which includes research, data, and ABI Insights.\u00a0<\/p>\n

About ABI Research<\/b><\/p>\n

ABI Research is a global technology intelligence firm uniquely positioned at the intersection of technology solution providers and end-market companies. We serve as the bridge that seamlessly connects these two segments by providing exclusive research and expert guidance to drive successful technology implementations and deliver strategies proven to attract and retain customers.<\/p>\n

ABI Research\u662f\u4e00\u5bb6\u5168\u7403\u6027\u7684\u6280\u672f\u60c5\u62a5\u516c\u53f8\uff0c\u62e5\u6709\u5f97\u5929\u72ec\u539a\u7684\u4f18\u52bf\uff0c\u5145\u5f53\u7ec8\u7aef\u5e02\u573a\u516c\u53f8\u548c\u6280\u672f\u89e3\u51b3\u65b9\u6848\u63d0\u4f9b\u5546\u4e4b\u95f4\u7684\u6865\u6881\uff0c\u901a\u8fc7\u63d0\u4f9b\u72ec\u5bb6\u7814\u7a76\u548c\u4e13\u4e1a\u6027\u6307\u5bfc\uff0c\u63a8\u52a8\u6210\u529f\u7684\u6280\u672f\u5b9e\u65bd\u548c\u63d0\u4f9b\u7ecf\u8bc1\u660e\u53ef\u5438\u5f15\u548c\u7559\u4f4f\u5ba2\u6237\u7684\u6218\u7565\uff0c\u65e0\u7f1d\u8fde\u63a5\u8fd9\u4e24\u5927\u4e3b\u4f53\u3002<\/p>\n

For more information about ABI Research’s services, contact us at +1.516.624.2500 in the Americas, +44.203.326.0140 in Europe<\/span>, +65.6592.0290 in Asia-Pacific<\/span>, or visit\u00a0www.abiresearch.com<\/a>.<\/p>\n

Contact Info<\/b>:\u00a0<\/p>\n

Global
<\/b>Deborah Petrara<\/span> \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0
Tel: +1.516.624.2558\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0
pr@abiresearch.com<\/a>\u00a0 \u00a0 \u00a0<\/p>\n

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