Neoclouds Are Making Waves—and Cisco Is Serving to

The speedy adoption of generative AI and agentic AI is spurring demand for AI infrastructure and the necessity for a wealthy ecosystem that may ship the whole AI lifecycle. On this atmosphere, a brand new breed of AI cloud suppliers—sometimes called neoclouds—has emerged as agile, technically refined gamers constructing extremely specialised AI cloud companies to serve new markets and wishes. At Cisco, we’re devoted to working with the complete vary of ecosystem members. This consists of the normal hyperscalers, in addition to these newer neocloud suppliers and foundational mannequin builders. It additionally consists of communications service suppliers, colocation suppliers, and sovereign cloud suppliers that increase AI cloud companies by delivering the AI internet hosting, safe ubiquitous connectivity, and trusted infrastructure and knowledge companies enterprises want.

The AI infrastructure market: The surging frontier

The demand for AI infrastructure is rising at an exponential fee. Whole international knowledge heart IT gear spend over the 5 years between 2025 and 2030 is anticipated to succeed in as a lot as 4.7 trillion {dollars}.¹ This encompasses servers, accelerators (XPUs), networking, optics, and storage. At present, it’s estimated that hyperscalers are accountable for over 60% of this infrastructure funding, whereas neoclouds are accountable for about 17%, which is anticipated to develop to over 30% over the subsequent ten years.² The opposite ecosystem members and enterprises themselves have gotten accountable for an rising proportion of the AI infrastructure buildout as inferencing and agentic AI, sovereign cloud, and edge AI turn into extra mainstream. In accordance with McKinsey, demand for AI knowledge heart capability will account for 70% of complete knowledge heart demand by 2030 and is the principle driver of a rising infrastructure deficit.³ Neoclouds are quickly stepping as much as fill the hole and are making huge strikes to drive new enterprise fashions and know-how improvements that target the readiness, resilience, differentiation, and profitability of their AI cloud service choices.

Three approaches to AI cloud companies

Neocloud suppliers should not a monolith. They make the most of varied enterprise fashions to ship AI infrastructure companies that cater to totally different use circumstances and verticals. Consumption fashions are altering quickly, from bare-metal choices to full-stack {hardware} and software program along with “as a service” choices. We are able to categorize supply and consumption fashions into a number of approaches that replicate various enterprise necessities for scalability, flexibility, value, efficiency, and knowledge sovereignty. Particular person suppliers are selecting the approaches that greatest swimsuit their enterprise priorities and buyer wants.

Three major approaches have emerged:

• Devoted cloud AI IaaS: On this mannequin, enterprises decide to utilizing devoted AI infrastructure inside a neocloud’s knowledge heart for a set time period. The advantages of this method embrace assured capability, higher efficiency isolation, and sometimes vital value financial savings in comparison with on-demand pricing. It’s greatest fitted to predictable and long-running AI workloads, equivalent to large-scale mannequin coaching or steady inference duties, and for organizations with constant AI useful resource necessities or those who want unique entry to compute assets.
• Public AI cloud companies: With this mannequin, neoclouds allow enterprise prospects to entry shared swimming pools of AI-optimized computing assets, equivalent to GPUs and tensor processing models (TPUs). Clients solely pay for the assets they eat with out long-term commitments. This “pay-as-you-go” method gives most flexibility and scalability, making it ideally suited for experimental workloads, growth, testing, or bursty AI duties the place demand will not be constant.
• Hybrid and edge AI IaaS: This mannequin extends deploying and managing AI infrastructure throughout a mix of public cloud environments, on-premises or colocation knowledge facilities, and edge areas. It brings AI compute nearer to the place knowledge is generated or consumed, addressing wants like low-latency processing, knowledge sovereignty, and regulatory compliance. This mannequin is especially useful for patrons that require real-time determination making, equivalent to industrial web of issues (IoT), autonomous autos, or localized analytics.

Seven causes neoclouds can depend on Cisco for AI infrastructure

Whatever the service mannequin adopted, neocloud suppliers require a strong, scalable, and safe basis. Many are discovering that Cisco gives the partnering focus, complete portfolio, and imaginative and prescient essential to succeed. Listed below are seven key benefits to partnering with Cisco:

1. Complete, in-house AI infrastructure portfolio: Cisco gives the broadest homegrown AI infrastructure portfolio each inside and between knowledge facilities. This consists of built-in full-stack safe AI manufacturing facility options, AI-optimized compute, AI networking, optics, and knowledge heart interconnect options, in addition to safety and observability for AI. Advantages for neoclouds embrace architectural flexibility, streamlined procurement, constant operations and help, and a extremely strong provide chain.
2. Architectural and operational flexibility: With Cisco, neocloud suppliers have the pliability to decide on the reference structure and working atmosphere that greatest meets their technical necessities. Whether or not they need to adhere to the NVIDIA Enterprise Reference Structure (ERA), the NVIDIA Cloud Companion (NCP) reference structure, Cisco Cloud Reference Structure, or just need to construct their very own—we offer the mandatory flexibility and validated designs to speed up deployment.
3. Trade-leading AI networking materials: Cisco AI Networking delivers scalable front-end and back-end materials inside knowledge facilities, along with knowledge heart interconnect and scale-across networks between knowledge facilities. Neoclouds can select between the confirmed reliability of Cisco NX-OS for operational consistency, or SONiC for open networking requirements.
4. Expanded partnership with NVIDIA: Our expanded partnership with NVIDIA permits NVIDIA Spectrum-X know-how integration on Cisco Silicon One–based mostly switches and Cisco N9100 Collection Switches that incorporate NVIDIA Spectrum-X Ethernet swap silicon—all unified beneath the Nexus working mannequin for seamless integration with Cisco Nexus Dashboard. Nexus is already well-known inside many neoclouds who’ve established it of their front-end computing networks.
5. Highly effective and various accomplice ecosystem: Cisco companions with a broad ecosystem to ship the perfect options and worth. This consists of compute and accelerator companions like NVIDIA, AMD, and Intel; storage companions; software program companions; liquid cooling companions; system integrators; and lots of others.
6. Finish-to-end safety and observability: Safety and reliability are high considerations for enterprises deploying AI. Cisco Safe AI Manufacturing unit with NVIDIA supplies a full-stack resolution with safety built-in at each layer. With Splunk, Cisco supplies Observability for AI for deep visibility into each layer of the atmosphere, together with GPU infrastructure, GenAI, LLM outputs, and AI purposes. Cisco gives unmatched safety and observability for AI deployments, serving to neoclouds defend their infrastructure and knowledge.
7. Unified silicon structure with Cisco Silicon One: Cisco Silicon One is a groundbreaking switching and routing silicon structure. This single structure is the inspiration used throughout a broad vary of networks, from back-end and front-end AI networks to scale throughout, knowledge heart interconnect, wide-area networks, and edge. It delivers superior congestion management and cargo balancing for AI materials and is programmable to help rising requirements.

Constructing the way forward for AI cloud companies with Cisco

Cisco is uniquely positioned to help neocloud suppliers’ AI infrastructure wants throughout all their service fashions. By offering cutting-edge know-how—from Cisco Silicon One and NVIDIA Spectrum-X silicon-based switching to Cisco UCS compute to built-in safety and observability stacks—Cisco permits neoclouds to ship scalable AI companies with velocity, reliability, and effectivity.

Because the market continues to evolve, Cisco supplies the experience, go-to-market help, and options to assist neoclouds speed up time to service, maximize the effectivity of GPU clusters, and in the end safe a foundational position within the burgeoning AI ecosystem.

1. The price of compute: A $7 trillion race to scale knowledge facilities, McKinsey & Firm, April 2025. 

2. AI Infrastructure Survey, McKinsey, June 2025. (Inside Cisco survey) 

3. AI energy: Increasing knowledge heart capability to satisfy rising demand, McKinsey & Firm, October 2024.