365 Information Facilities has introduced a partnership with Robotic Community to ship a brand new era of personal cloud AI options. The collaboration goals to merge colocation, connectivity, and synthetic intelligence right into a unified platform that allows organizations to securely deploy and scale AI workloads nearer to their information – whereas decreasing price and latency.
The joint initiative represents a big evolution in how information facilities function. Fairly than functioning as passive environments for internet hosting compute and storage, 365’s amenities will now act as an “optimization layer” for AI, intelligently distributing workloads between edge and core environments. In accordance with the corporate, greater than 90% of AI operations can now run completely throughout the colocation footprint, leaving solely essentially the most compute-intensive duties to centralized high-density GPU clusters.
This architectural shift brings price, efficiency, and sustainability benefits. By working AI workloads in a distributed non-public cloud, enterprises can reduce information switch overheads, enhance safety, and obtain greater income per watt in colocation environments. The method helps energy densities of 10–50 kW per rack, accommodating superior small-language fashions (SLMs), analytics, and enterprise intelligence purposes in a extra energy-efficient method.
“Our goal is to fulfill AI the place colocation, connectivity, and cloud converge,” mentioned Derek Gillespie, CEO of 365 Information Facilities, in asserting the partnership. “This platform will present seamless integration and economies of scale for our clients and companions, giving them entry to AI that’s purpose-built for his or her enterprise initiatives.”
Robotic Community’s proprietary AI stack underpins the brand new platform. It combines small and enormous language fashions (LLMs) and is optimized for AMD EPYC processors and NVIDIA GPUs. The system leverages fashions from main AI builders – together with Meta, OpenAI, and Grok – to ship enterprise-ready generative AI capabilities whereas sustaining predictable prices and information governance.
Robot Network CEO Jacob Guedalia described the partnership as an effort to democratize entry to AI by way of a safe, non-public cloud atmosphere. “By pairing 365’s confirmed infrastructure and colocation experience with our proprietary AI framework, we’re providing enterprises a trusted and cost-optimized platform to speed up adoption,” he mentioned.
Preliminary use circumstances embody non-public AI chat methods, enterprise intelligence, predictive analytics, and information reporting. These workloads are powered by smaller, fine-tuned fashions reasonably than huge public LLMs – a pattern gaining traction amongst enterprises in search of management, compliance, and customization with out the prohibitive price of coaching fashions from scratch.
For 365 Information Facilities, the partnership underscores its transformation from a conventional infrastructure supplier to an AI-driven infrastructure-as-a-service (IaaS) chief. The corporate’s hybrid mannequin blends colocation and personal cloud computing, enabling enterprise purchasers to evolve their IT environments towards extra autonomous, AI-assisted operations.
As enterprises face rising regulatory and information sovereignty pressures, non-public AI environments like 365’s promise stronger management over the place and the way info is processed. Additionally they assist mitigate dangers related to public cloud publicity and vendor lock-in – considerations which have turn into more and more related in sectors like finance, healthcare, and authorities.
The collaboration between 365 Information Facilities and Robot Network highlights a broader trade motion towards “AI-native infrastructure”, the place compute, networking, and storage architectures are optimized for steady machine studying and inference. By integrating AI straight into the colocation material, this mannequin bridges the hole between conventional IT environments and rising agentic AI methods that require fixed optimization and real-time adaptability.
In impact, the partnership creates a blueprint for the subsequent era of enterprise infrastructure, one that mixes bodily resilience with AI-driven intelligence.
FAQ: Personal Cloud AI within the Enterprise
What’s non-public cloud AI?
Personal cloud AI refers to deploying AI workloads inside a safe, devoted cloud atmosphere – usually hosted in colocation or on-premise information facilities. It supplies the advantages of scalability and automation whereas sustaining management over information and infrastructure.
How does non-public cloud AI differ from public AI providers?
Public AI fashions, reminiscent of these from main hyperscalers, function on shared infrastructure and should expose delicate information to 3rd events. Personal cloud AI retains fashions, information, and compute assets remoted inside a customer-controlled atmosphere for compliance and safety.
Why are small-language fashions (SLMs) necessary?
SLMs are optimized, domain-specific fashions that supply excessive efficiency with decrease compute necessities. They make AI adoption inexpensive and possible for enterprises that lack hyperscale assets whereas supporting on-prem or hybrid deployments.
What are the safety advantages of a non-public AI cloud?
Personal AI environments improve compliance with information safety rules by permitting organizations to outline entry controls, monitor information motion, and apply encryption at each layer. This minimizes publicity to exterior networks or unauthorized use.
How does this method impression infrastructure effectivity?
By working AI workloads in colocation amenities with hybrid cloud integration, enterprises can optimize energy utilization, scale back latency, and decrease prices. It additionally permits them to scale incrementally – aligning compute assets with demand reasonably than overprovisioning.
