Vision Net is Re-Defining the AI Landscape
By Rob Worden, President/CEO of Vision Net
Vision Net is re-defining the artificial intelligence (AI) landscape by creating the AI inference market space with its unique Neo Cloud infrastructure assets. Why? Infinite Innovation is our core purpose.
In the rapidly evolving world of AI cloud infrastructure and applications, the conversation is shifting. For years, centralized hyperscale cloud providers have dominated the narrative. As data volumes explode and latency-sensitive AI applications become the norm, the limitation of a centralized architecture is apparent: it is too far from the consumer to overcome the latency requirement of AI.
Vision Net believes the future lies not just in smarter clouds, but in the proximity of those clouds to the users of AI technology. But proximity without high-capacity fiber networks interconnecting those clouds also does not solve the latency issue; nor does it address data residency concerns or increasing power and cooling requirements of AI. Fortunately, Vision Net's spirit of innovation has already solved these issues with its Distributed Data Center architecture. Vision Net is bringing the AI value promise to America by re-defining the AI landscape.
The Problem with the Legacy Cloud
The traditional cloud model was built for applications and data that could afford to travel long distances to centralized data centers.
Today's applications demand ultra-low latency, real-time responsiveness, and localized computing. Hospitals need AI capabilities to improve patient outcomes. Locally run AI speeds decision making, accuracy of diagnoses, imaging analysis, and care recommendations. This kind of edge-native AI is crucial to a host of enterprise use cases for businesses relying on fast decision-making, reduced error rates, and task automation. Autonomous cars, robots, and AI agents without lightning-fast AI informed inputs create undesirable outcomes. A banking sector AI agent not tuned to current predictive fraud alerting models cannot mitigate economic loss from clever bad actors.
The old cloud is struggling to meet the requirements of near-real-time AI. The result? Bottlenecks, latency, rising costs, and that annoying spinning hourglass that tells you those things are true.
Re-defining the AI Landscape
The NeoCloud model is a transformative re-design of the old hyperscale cloud computing landscape that brings the full promise of AI to the consumer. A NeoScaler spins up NeoClouds (network connected AI optimized technologies) in a local or edge market close to the AI user.
Vision Net is distinctively positioned in this inference market space as an existing data center operator. Our centers are distributed, connected, and intelligent. Vision Net is also the only AI-Ready Network provider in the Western United States to connect its centers on an 800Gbps network. This solves the distance/latency issue.
This type of AI-ready network capability also solves another problem, one for state-wide networks, which is pricing pressures from the national carriers. National carriers have been aggressive in their approach to increasing price pressures on 10G and 100G services. An AI-ready network delivered as a complete AI platform solution at up to 800Gbps to ensure quality AI-workloads is a premium service. Vision Net is switching the narrative.
Vision Net: The Intelligent AI Edge
- NeoCloud is Vision Net's answer to the old model challenge. It's not just a cloud, though; it's distributed intelligence that spans our data centers and partner centers, leverages high capacity (800Gbps) fiber networks, and extends into customer environments with:
- Localize AI workloads: Data is processed closest to where it is generated and consumed, reducing latency.
- Power Conservation: Distributing AI workloads across a scalable interconnected infrastructure means AI power demands are incremental. Vision Net's model removes the large capital power investment burden from utilities (rate payers) concerned about encouraging gigawatt hyperscale AI.
- Continuous learning: AI models improve globally (through Vision Net's network to other AI clouds) to improve data accuracy and decision-making.
- Data Residency: Data stays local in the Vision Net edge data facilities on hyper-converged cloud infrastructure.
- Optimized resources: Data is managed dynamically by orchestrating compute, storage, and networking across the distributed edge, ensuring efficiency and scalability.
- Environmental Conservation: Like power, water is a key ingredient for large-scale AI deployments. A hyperscale AI data center needs up to five (5) million gallons a day. Vision Net's unique ability to increment resource needs means there is no need for large-scale drains on local water resources.
Vision Net is empowering enterprises to own their AI journey without being tethered to distant hyperscalers. Instead, we focus on data processing and generation as close to the user as possible. Unlike cloud providers who rely on massive power- and water-hungry centralized facilities, Vision Net's NeoCloud approach is evolved to offer:
- AI-optimized hardware/software stacks
- High-density compute environments
- AI-ready 800Gbps fiber optic network
- Carrier-neutral connectivity
- Redundant power and cooling systems
- Security-hardened facilities
Our edge data centers are intelligent hubs serving as local inference engines with unique network and location advantages. Without these hubs in place, the value promise of AI cannot be realized, simply because the old model will not support the new reality demands of AI.
Decentralization of compute is the core of the Vision Net model. As AI workloads become more complex, enterprises need to rethink their AI application strategies. Will the hyperscaler capabilities meet the demands of their business? The vast amount of future enterprise-generated data (up to 75%) will be created and processed outside traditional hyperscale data centers by necessity.
So NVIDIA, Microsoft, Oracle, AWS — you already know that the AI promise will not be fulfilled without local/regional edge data providers like Vision Net. That's why you have been calling us. And while you may think that AT&T and Verizon are your fast path to market scale, their bureaucracies will slow you down. Vision Net and its edge data partner network (Indatel Edge) reach across the United States and are ready now.
Why This Matters Now
We are at a pivotal moment. The convergence of AI, edge computing, and data privacy is reshaping how businesses operate. The legacy model cannot keep up. Businesses deserve infrastructure that adapts to them, not the other way around. Vision Net is not just responding to this shift we are leading it.
As CEO, I have seen firsthand how enterprises struggle with the trade-offs imposed by legacy cloud models. I have had to make those decisions myself. Our mission is to eliminate those trade-offs and deliver the AI experience and value promise.
Looking Ahead
The future of infrastructure is distributed, intelligent, and adaptive. Vision Net is committed to that future. Our roadmap includes continued capacity upgrades across our state-wide fiber optic network and evolution of our data centers to support ever-changing data use demands. Vision Net is in a constant state of what we call Infinite Innovation, planning for today and tomorrow. NeoScale today, QScale tomorrow (Yes, Quantum is coming!).
Vision Net invites educational, healthcare, and financial enterprises, property developers, utilities, municipalities, and innovators of all stripes to join us in this journey. The edge is no longer a frontier — it is the new center of gravity. Vision Net believes that intelligence belongs everywhere, not just in the cloud. We are proud to be enabling that future, and we are just getting started!