Artificial intelligence has quietly rewritten the requirements for what counts as “enough” bandwidth. A few years ago, a dedicated 1 Gbps fiber circuit was more than sufficient for most enterprise data centers. Today, training and inference workloads built around large language models, computer vision pipelines, and GPU clusters routinely move terabytes of data between racks, regions, and cloud providers every hour. For the operators building or leasing space in these facilities, the network is no longer a supporting utility — it is the infrastructure that determines whether an AI workload succeeds or stalls.
Cytranet is a Las Vegas, Nevada-based technology and telecom partner serving businesses, nonprofits, and government agencies across the Southwest and nationwide. Cytranet has spent more than a decade supporting over 1,000 businesses, nonprofits, and government agencies with voice, data, and cloud services, one of its core specialties is often overlooked: engineering and delivering the high-bandwidth data circuits and internet connections that data centers — including those built to support AI workloads — depend on to operate reliably at scale.
The Bandwidth Reality Behind Modern AI Workloads
AI infrastructure places a fundamentally different set of demands on a network than a typical office or retail location. A few of the pressure points that data center operators, colocation tenants, and AI infrastructure teams run into include:
- Massive east-west and north-south data movement. Training datasets, model checkpoints, and inference requests generate sustained, high-volume traffic that standard business-grade internet plans were never designed to carry.
- Zero tolerance for downtime. A dropped connection during a multi-day training run, or a customer-facing inference API going dark, has a direct and measurable cost.
- Unpredictable, bursty growth. Capacity needs for AI projects can double or triple in a matter of months, requiring a carrier relationship that can scale circuits quickly rather than a multi-quarter procurement cycle.
- Diverse, redundant paths. A single point of failure anywhere in the path — the last mile, the carrier hotel, the upstream transit provider — can take an entire AI application offline.
Meeting these demands requires more than a fast internet connection. It requires a carrier that owns and controls its network relationships, understands data center and colocation environments, and can engineer connectivity around the specific needs of high-performance computing.
Cytranet: Built for High-Capacity Connectivity
Cytranet owns and manages key parts of its own network infrastructure rather than functioning purely as a reseller of someone else’s capacity. That matters for data center operators evaluating bandwidth partners, because it means Cytranet controls more of the path between its customers and the broader internet backbone — and can move faster when circuits need to be provisioned, adjusted, or restored.
Scalable, Fiber-Rich Network Access
Cytranet’s internet connectivity is delivered over a fiber-rich network with circuit speeds that scale from entry-level connections for small deployments up to high-capacity dedicated circuits for the largest, most bandwidth-intensive environments. These connections are built to support cloud application traffic, large-scale file transfer, video and streaming workloads, and VoIP alongside the sustained throughput that AI training and inference environments require. Circuits are scalable and customizable, which allows a data center customer to start at the capacity they need today and expand as GPU clusters and storage footprints grow, without having to re-architect the network from scratch.
Wholesale IP Transit and Carrier Services
For telecom providers, call centers, colocation facilities, and other carriers, Cytranet’s Carrier Services division supplies wholesale internet access, IP transit, colocation, and SIP/VoIP termination and origination, with local DID numbers and seamless number portability available where needed. For an AI data center or a downstream network operator, this means Cytranet can serve as an upstream transit provider — supplying the raw internet capacity a facility needs to move data in and out at scale, in addition to (or instead of) a single retail-style internet circuit.
Colocation and Data Center Hosting
Cytranet also operates hosting services out of multiple secure data centers, with colocation options available for organizations that want to bring their own servers and GPU hardware into a professionally managed facility rather than build one from the ground up. Pairing colocation with Cytranet’s own carrier-grade bandwidth means a customer’s compute infrastructure and its network connectivity come from a single, accountable source — simplifying everything from initial deployment to ongoing capacity planning.
Why AI Data Centers Need More Than Standard Business Internet
Redundancy and Uptime
Cytranet’s network is designed to be redundant and fault-tolerant, supporting 99.99% reliability across its cloud and connectivity services. For an AI workload, that reliability translates directly into protected training runs, uninterrupted inference APIs, and fewer support tickets from downstream users who depend on the application staying online.
Scalability Without the Wait
Because Cytranet controls key parts of its own network infrastructure and offers circuits that scale from sub-gigabit speeds up through high-capacity dedicated bandwidth, plus wholesale IP transit for larger needs, data center customers are not locked into a single tier of service. As an AI deployment moves from a pilot project to production scale, Cytranet can grow the circuit alongside it, rather than forcing a customer to renegotiate a new contract with a different provider every time capacity needs change.
Low-Latency, Predictable Performance
AI inference in particular is latency-sensitive — a chatbot, recommendation engine, or real-time computer vision system that takes too long to respond loses its value. A fiber-rich, carrier-owned network with direct routes to major internet exchange points helps keep round-trip times low and predictable, which matters just as much as raw throughput for many AI applications.
Network Security for High-Value AI Infrastructure
A high-bandwidth circuit is only as valuable as the security wrapped around it. AI data centers are attractive targets precisely because of the compute and data they house, and a volumetric attack against an under-protected connection can be just as disruptive as a hardware failure. Cytranet pairs its bandwidth offerings with network security services — including firewalls, traffic monitoring, and antivirus and antispam protection — so that AI data center customers are not left to secure a large, high-value connection on their own. For operators who want a single vendor accountable for both capacity and protection, that pairing simplifies vendor management considerably.
How Cytranet Supports AI and Data Center Operators
Cytranet’s approach starts with understanding how a customer’s compute and storage architecture actually uses the network, rather than simply selling a fixed bandwidth tier. That includes evaluating whether a dedicated fiber circuit, a wholesale IP transit arrangement, colocation with on-site connectivity, or some combination of the three fits the workload best.
“AI infrastructure teams come to us because they’ve outgrown what a standard business internet package can deliver,” said Doug Roberts, Chief Technology Officer at Cytranet. “Our job is to make sure the network is never the bottleneck — whether that means scaling up a fiber circuit, opening up wholesale IP transit capacity, or putting a customer’s hardware in one of our data centers with our own connectivity built in from day one. We built our network to handle that kind of demand, and we back it with a support team that answers the phone 24 hours a day.”
That combination of owned network infrastructure, flexible circuit sizing, and hands-on U.S.-based support is what allows Cytranet to serve as a single point of accountability for data center operators who would otherwise have to manage relationships with multiple carriers, transit providers, and colocation vendors separately.
Choosing the Right Bandwidth Partner for AI Infrastructure
When evaluating a connectivity provider for an AI data center or high-performance computing environment, a few questions are worth asking directly:
- Does the provider operate its own carrier network, or is it reselling capacity from someone else?
- Can circuit speeds scale to meet growing bandwidth demand without a full network redesign?
- Is wholesale IP transit available for facilities that need upstream capacity rather than a single retail connection?
- Are colocation and data center hosting options available from the same provider, simplifying vendor management?
- What redundancy and uptime commitments back the network, and how is support staffed around the clock?
Cytranet answers each of these directly: a fiber-rich network built to serve the Southwest and clients nationwide; scalable circuits sized to the workload; wholesale IP transit and carrier services for telecom and data center partners; colocation across multiple secure data centers; network security services layered on top of every connection; a 99.99% reliability standard; and 24/7/365 U.S.-based support.
This matters most in the details that only show up under real load. A facility running continuous GPU training jobs needs a circuit that holds steady during sustained, near-constant utilization, not just during a burst test. A colocation tenant serving inference traffic to customers around the country needs predictable routing, not just a headline bandwidth number. And a growing AI company needs a carrier that will still be answering the phone at 3 a.m. if a circuit needs attention, rather than routing the call through multiple layers of a reseller’s support desk. Cytranet’s model — owning the carrier relationship, the data center hosting, and the security layer under one roof — is built around exactly that kind of accountability.
Frequently Asked Questions
Is Cytranet a true telecommunications carrier, or a reseller?
Cytranet owns and manages key parts of its own network infrastructure, including a Carrier Services division that provides wholesale internet access and IP transit, rather than functioning solely as a reseller of another provider’s capacity.
What is the maximum bandwidth Cytranet can provide to a data center?
Circuit capacity is sized to the workload, scaling from standard business-grade connections up to high-capacity dedicated fiber circuits, with additional wholesale IP transit capacity available through its Carrier Services division for larger requirements. Contact Cytranet to confirm available speeds for a specific location.
Does Cytranet offer colocation for AI hardware such as GPU servers?
Yes. Cytranet’s hosting services include colocation options across multiple secure data centers for customers who want to house their own servers and hardware in a professionally managed facility.
What areas does Cytranet serve?
Cytranet is based in Las Vegas, Nevada, and provides business internet, voice, carrier, and IT services across the Southwest and to clients nationwide. Availability can be confirmed for a specific location by contacting Cytranet directly.
How quickly can a high-bandwidth circuit be provisioned?
Timelines vary by location and the type of circuit requested, but Cytranet is generally able to begin installation as soon as the next business day and provides 24/7/365 support throughout the process.
Get Started
Data centers and AI infrastructure deployments do not have room for network uncertainty. Cytranet’s combination of owned network infrastructure, scalable fiber circuits, wholesale IP transit, and colocation across multiple secure data centers gives AI and data center operators a single, accountable partner for high-bandwidth connectivity.
To discuss bandwidth requirements for an AI data center, colocation project, or carrier services agreement, contact Cytranet at 702-846-5000 or info@cytranet.com.
