Their data stays private, local, secure, and compliant.
In late January, two companies — a Harrisburg data center operator and a California cloud infrastructure firm — joined forces to offer Central Pennsylvania businesses something the dominant tech giants rarely provide: artificial intelligence on their own terms, with their data never leaving their walls. The partnership between Alerify and Zadara speaks to a quiet but growing unease among enterprises caught between the promise of AI and the risks of surrendering control to distant, opaque cloud systems. It is, at its core, a wager that sovereignty — over data, over infrastructure, over cost — is worth more to some organizations than the convenience of scale.
- Businesses across industries are racing to adopt AI, but many are quietly alarmed by what it costs them in data exposure, compliance risk, and unpredictable cloud bills.
- The infrastructure to run serious AI workloads has been concentrated in the hands of a few giants — Amazon, Microsoft, Google — leaving regional enterprises with little leverage and fewer alternatives.
- Alerify and Zadara are integrating NVIDIA GPU-powered sovereign cloud technology directly into a Harrisburg data center, creating a local AI platform where sensitive data never crosses into public cloud territory.
- The partnership targets small and medium-sized organizations — especially those in regulated sectors like healthcare, finance, and government — for whom data residency and compliance are non-negotiable.
- Whether enterprises will trust a regional model over the brand weight and ecosystem depth of hyperscalers remains the open question on which this entire venture rests.
On a Tuesday morning in late January, Alerify and Zadara announced a partnership that could quietly shift how Pennsylvania businesses approach artificial intelligence. Alerify operates a Tier 3 data center in Harrisburg with SOC 2 certification; Zadara, headquartered in Irvine, California, runs sovereign AI edge clouds powered by NVIDIA GPUs across more than 500 locations worldwide. Together, they are building what they call an AI Edge platform — enterprise-grade AI infrastructure that lives locally, inside Alerify's Harrisburg facility.
The partnership addresses a genuine tension. Companies want AI's computational power — the ability to train models, run inference, and deploy at scale. But many are reluctant to hand their data to public cloud providers, worried about compliance exposure, competitive risk, and costs that compound unpredictably. Zadara's CEO, Yoram Novick, frames the solution as "complete sovereignty": workloads run on local servers, data never leaves the building, and there is no dependency on a distant cloud giant.
Alerify's founder and CEO, Andy Kochanowski, describes the offering as democratization — giving small and medium-sized enterprises access to the same caliber of infrastructure that large corporations command, without forcing a trade-off between capability and control. For regulated industries like healthcare, finance, and government, where data residency rules carry legal weight, that trade-off has long been a barrier.
What the partnership cannot yet answer is whether businesses will actually migrate their AI workloads away from the hyperscalers. The public clouds carry enormous advantages in scale, ecosystem, and institutional trust. But Alerify and Zadara are betting that for a meaningful slice of the market, the promise of local control — and the company of a provider embedded in their own region — is worth more than convenience.
Two companies announced a partnership on a Tuesday morning in late January that could reshape how businesses in Pennsylvania think about artificial intelligence. Alerify, a data center operator based in Harrisburg, and Zadara, a cloud infrastructure firm headquartered in Irvine, California, said they would work together to bring private AI systems to the region—machines that companies could run on their own terms, with their data staying put and under their control.
The partnership addresses a real tension in modern business. Companies want to use artificial intelligence. They want the computational power that comes with it, the speed, the capability to train models and run inference at scale. But many of them are wary of sending their data to the public cloud—to Amazon, Microsoft, Google. They worry about compliance, about competitors seeing their information, about costs that climb unpredictably. Alerify and Zadara are betting that there's a market for a different approach: AI infrastructure that lives locally, that stays sovereign, that lets a business keep its data in its own hands.
Alerify operates a Tier 3 data center in Harrisburg and holds SOC 2 certification, a standard that signals security and operational rigor. The company has been positioning itself as a regional alternative to the hyperscalers, offering colocation, virtual private cloud, and business continuity services. Zadara brings the AI piece—it operates what it calls sovereign AI edge clouds, distributed infrastructure that can be deployed anywhere and is powered by NVIDIA GPUs. The two companies will integrate Zadara's technology into Alerify's Harrisburg facility, creating what they're calling an AI Edge platform.
The practical upshot is this: a business in Central Pennsylvania—or anywhere, really—can now rent space on Alerify's servers to run AI workloads. They can train models, fine-tune them, run inference, deploy them at scale. The data never leaves the building. The company maintains what Zadara's CEO, Yoram Novick, calls "complete sovereignty." There's no dependency on a distant cloud giant, no surprise bills, no compliance headaches tied to data residency rules. Andy Kochanowski, Alerify's founder and CEO, framed it as democratization: giving small and medium-sized enterprises access to the same infrastructure that large corporations use, but without forcing them to compromise on security or control.
The timing matters. Artificial intelligence has become central to competitive strategy across industries. But the infrastructure to run it has been concentrated—expensive, distant, controlled by a handful of giants. Regional data centers have largely been left behind in the AI race. This partnership is an attempt to change that calculus, at least for organizations that prioritize data sovereignty over the convenience of public cloud. Zadara says it operates over 500 edge cloud locations worldwide and can deploy infrastructure almost anywhere. Alerify is offering one of those locations, in Harrisburg, with the promise of local support, regional focus, and the kind of service that comes from a company embedded in its community.
What remains to be seen is whether businesses will actually move their AI workloads this way. The public clouds have enormous advantages: scale, ecosystem, talent, brand trust. But for regulated industries—healthcare, finance, government—and for companies handling sensitive data, the appeal of keeping everything local and sovereign could be substantial. Alerify and Zadara are betting that appeal is real enough to build a business on.
Citas Notables
We chose Zadara because our clients deserve AI solutions that are private, secure, and designed around their business.— Andy Kochanowski, Founder and CEO of Alerify
Organizations need AI infrastructure that delivers performance without compromising sovereignty or cost.— Yoram Novick, CEO of Zadara
La Conversación del Hearth Otra perspectiva de la historia
Why does a business care whether its AI data stays local versus going to Amazon or Microsoft?
Compliance, mostly. If you're in healthcare or finance, regulations often say your data has to stay in a certain jurisdiction. But it's also about competitive secrecy. You don't want your training data or your models visible to anyone else. And cost—cloud bills can spiral if you're running heavy compute workloads.
So Alerify is saying, we'll run your AI here in Harrisburg, and you keep everything?
Exactly. Your data never leaves the building. You own the infrastructure relationship. You're not locked into someone else's pricing model or terms of service.
Is this actually new, or is it just repackaging existing ideas?
The idea of sovereign cloud isn't new. But applying it specifically to AI, with GPU infrastructure, at a regional scale—that's less common. Most AI infrastructure has been centralized in the big clouds. This is trying to bring it closer to home.
Who would actually use this?
Regulated companies first—hospitals, banks, government agencies. Then mid-market firms that handle sensitive data and want to avoid vendor lock-in. And companies in industries where data residency is a legal requirement.
What's the risk here?
Alerify is small compared to AWS or Azure. If something breaks, can they support you the way a hyperscaler can? And you're betting that local infrastructure is enough for your needs. Some workloads really do need the scale and redundancy that only the biggest clouds offer.