{"id":154699,"date":"2025-09-19T16:20:08","date_gmt":"2025-09-19T16:20:08","guid":{"rendered":"https:\/\/www.newsbeep.com\/au\/154699\/"},"modified":"2025-09-19T16:20:08","modified_gmt":"2025-09-19T16:20:08","slug":"neocloud-services-surge-as-ai-strains-data-centers","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/au\/154699\/","title":{"rendered":"Neocloud Services Surge as AI Strains Data Centers"},"content":{"rendered":"

The continued growth of AI is reshaping the data center market, driving unprecedented demand for neocloud services that complement hyperscaler infrastructure, a new study reveals.<\/p>\n

According to JLL analysis, the global \u2018neocloud\u2019 segment is projected to grow at a staggering 82% compound annual growth rate (CAGR) between 2021 and 2025, as enterprises race to secure GPU capacity for AI workloads.<\/p>\n

Neoclouds are specialized cloud providers offering GPU-as-a-Service (GPUaaS) to enterprise customers. They are designed to support compute-intensive use cases like AI training, machine learning inference, blockchain, gaming, and scientific modeling.<\/p>\n

They deliver on-demand access to graphics processing units (GPUs) and tailored service models that hyperscalers often cannot provide quickly enough.<\/p>\n

Muhd Syafiq, director of JLL\u2019s data center research in Asia-Pacific, says neoclouds provide flexible, cost-effective access to high-performance GPUs, specifically for intensive AI, scientific, and blockchain applications.<\/p>\n

He adds that AI workloads, drawing over 100 kW per rack, require specialized cooling like immersion and floor loading capacities around 12-15 kN\/m\u00b2, which pushes data centers to upgrade.<\/p>\n

\u201cUnlike traditional hyperscalers, neoclouds focus solely on these high-density needs, offering quicker deployment, tailor-made solutions for AI, and often more competitive pricing,\u201d Syafiq says.<\/p>\n

Related:SmartNICs: The Unsung Heroes of Modern Data Center Scalability<\/a><\/p>\n

Alexander Harrowell, principal analyst, advanced computing at Omdia, said neocloud providers are disrupting the industry as it grapples with supply and demand imbalances.<\/p>\n

\u201cThey are attracting a lot of investment, although much of it comes from GPU vendors or AI labs themselves,\u201d he told Data Center Knowledge. \u201cTo some extent they can be seen as a kind of vendor financing for the GPUs.\u201d<\/p>\n

Harrowell explains that the category of neocloud data centers exists primarily because of the demand for AI training or inference infrastructure.<\/p>\n

\u201cThe product offering is heavy on GPUs, and the internal design of the data centers is optimized for very high power density to support them,\u201d he says.<\/p>\n

He adds that increasingly, they will need to be designed from the outset for rack-scale systems<\/a> like Nvidia NVL72.<\/p>\n

\u201cIt helps that they are usually greenfield projects,\u201d Harrowell says.<\/p>\n

\"Neo<\/p>\n

GPU-specialized neoclouds offer cost savings compared to major hyperscalers, with flexible contracts ranging from two to five years instead of decade-long commitments.<\/p>\n

GPU Availability Bottlenecks<\/p>\n

The JLL report<\/a> highlights that hyperscale infrastructure cannot currently keep pace with AI demand, creating bottlenecks in availability.<\/p>\n

\u201cThe biggest bottlenecks are having enough electricity and advanced cooling for powerful GPU hardware,\u201d Syafiq explains.<\/p>\n

Related:The Pros and Cons of AI Agents for Cloud Administration<\/a><\/p>\n

He says neocloud providers can get new sites up and running in months, offering a more cost-effective way to meet urgent demand than hyperscalers, which usually need years to build new capacity.<\/p>\n

\u201cHowever, even with fast deployment, finding and securing sites with the necessary high power, advanced cooling, and structural capacity requires deep local expertise,\u201d he adds.<\/p>\n

While neocloud adoption is accelerating, Syafiq notes that the rise of these specialized providers is not expected to displace hyperscalers.<\/p>\n

Instead, they will play a complementary role, focused on AI-heavy workloads, while hyperscalers continue to provide the broad mix of compute and storage services preferred by many enterprises.<\/p>\n

Specialized Infrastructure Driving Cost Efficiency<\/p>\n

High-density GPU infrastructure, central to Neocloud\u2019s GPUaaS model, efficiently provides the extreme processing power needed for intensive AI projects at a more cost-effective rate.<\/p>\n

\u201cBy offering this dedicated and scalable GPU power, neoclouds overcome the limitations of general-purpose setups, giving AI teams rapid access to specialized resources that enable peak performance,\u201d Syafiq says.<\/p>\n

For investors, neoclouds carry a different risk profile, with higher upfront capital requirements and shorter lease terms, but also the potential for higher rental rate premiums.<\/p>\n

Related:What Are TPUs? A Guide to Tensor Processing Units<\/a><\/p>\n

Neoclouds generally offer lower prices, with some reports indicating up to a 66% cost reduction for GPU instances compared to major hyperscalers. They also offer shorter, more flexible contracts.<\/p>\n

Read more of the latest next-gen data center news<\/a><\/p>\n

Their typical contracts run for two to five years, offering greater agility compared to the up to 10 to 15-year leases often seen with traditional data center clients.<\/p>\n

\u201cStartups and research teams with unpredictable workloads often pick neoclouds for these significant savings and flexible terms,\u201d Syafiq explains.<\/p>\n","protected":false},"excerpt":{"rendered":"The continued growth of AI is reshaping the data center market, driving unprecedented demand for neocloud services that…\n","protected":false},"author":2,"featured_media":154700,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[21],"tags":[64,63,257,105],"class_list":{"0":"post-154699","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-computing","8":"tag-au","9":"tag-australia","10":"tag-computing","11":"tag-technology"},"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/posts\/154699","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/comments?post=154699"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/posts\/154699\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/media\/154700"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/media?parent=154699"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/categories?post=154699"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/tags?post=154699"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}