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AI & Data

AI Infrastructure

Build the compute, storage, and networking foundation your AI program needs to scale.

AI workloads behave differently from anything your data center was designed for. GPU clusters, model training, and real-time inference push compute, storage, and networking past traditional limits.
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Enterprise infrastructure for the AI era

AI infrastructure decisions might seem familiar, but the workloads they carry are anything but. While a standard enterprise network might deliver one gigabit to the desktop, a modern AI factory needs 800 gigabits per second and is moving toward 1.6 terabits. Supply chain delays and unpredictable pricing are reshaping what’s possible and at what cost, all while mid-market and enterprise organizations are being asked to make multi-million-dollar infrastructure decisions.

Get the foundation right, and your AI program compounds. Get it wrong, and you could be facing a rebuild before the first model goes into production.  

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The OnX approach

The full fabric, engineered together

OnX designs and delivers the full AI fabric. In doing so, we draw on decades of enterprise compute and storage work, two of the deepest managed networking practices in our region, and our partnerships with the OEMs shaping the AI factory market.  

We meet clients across the full range of readiness — from teams that need a precise integration and fulfillment partner to those that need consultative help shaping the use case, platform, and operating model from the ground up.

AI Infrastructure capabilities

 OnX AI Infrastructure covers the three foundational layers of the
AI factory plus the operational discipline that keeps them running.

AI Compute and GPU Platforms


Design, procurement, and deployment of GPU infrastructure for AI workloads, anchored on NVIDIA-validated reference architectures and AI-ready platforms from Cisco, Dell, HPE, and Lenovo.

AI-ready Storage and Data Platforms


High-performance, AI-ready data center storage engineered for the throughput AI workloads require.

AI Networking Fabric


The high-bandwidth, low-latency fabric that AI workloads need, along with the wide-area connectivity that supports users.

Hybrid and Managed AI Infrastructure


Hybrid and cloud AI infrastructure that places each workload where it makes operational and economic sense, with managed services to run it all under a single operating model.

Where to start

Advisory engagements

A CBTS advisory is a time-bound, fixed-fee engagement designed to give you a clear answer to a specific strategic question — fast.  

AI & Data Maturity Assessment

Duration: Four weeks

Best for organizations that want a clear, third-party read on where they stand on AI and data readiness and where to focus first.

You walk away with: 


  • Current-state assessment across both AI and data dimensions
  • Gap analysis against industry benchmarks and your own stated AI ambitions
  • Prioritized list of foundational gaps to close before scaling AI investment
  • Short-form executive readout deck for leadership alignment
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What success looks like

Three outcomes show up most frequently in the AI factories we deliver.

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Business agility

AI workloads that used to take weeks of provisioning and capacity planning now move in days or hours. Instead of being the rate limiter on the AI program, infrastructure becomes the platform it accelerates against.

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Improved productivity

Enterprise AI infrastructure enables your teams to apply AI to work they couldn’t before. As a result, you can close skills gap, compress cycles, and free capacity to focus on growth and innovation.

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Revenue growth

Tap into faster model training, faster inference, and faster time to market for AI-powered products and features. Early infrastructure decisions shape how quickly AI investment translates into new revenue.

In practice

1.6Tbps interconnect speed engineered into AI factory networking fabric
24x7 managed operations across hybrid AI infrastructure environments
$1T+ projected spending on AI infrastructure through 2029

Don’t take our word for it

“OnX has been an incredible partner and really takes the time to understand our needs and our culture. They have been fantastic throughout and represent OnX professionally and with curiosity about our technology landscape.”

DirectorHealthcare

“Onx is exceptionally agile partner, consistently attentive to our needs and always quick to adapt. Their customer focus and responsiveness truly set them apart as a top-tier service provider.”

Deputy CTOBFSI

“OnX is a reliable and trusted partner whose deliberate focus on understanding our environment, challenges, and business outcomes helps us advance complex initiatives with confidence.”

ManagerGovernment

“The OnX account team consistently demonstrates professionalism, expertise, and a strong commitment to service. They translate customer requirements into practical, cost-effective solutions, making them a valuable partner.”

 Sr. ManagerBFSI

“The OnX account team consistently demonstrates professionalism, expertise, and a strong commitment to service. They translate customer requirements into practical, cost-effective solutions, making them a valuable part.”

DirectorUtilities

Infrastructure is one layer of the AI program.

AI infrastructure is the foundation but not the whole program. Most OnX clients engage across several of the disciplines below as their AI program matures.

What makes the difference

National expertise with local accountability.

For 40+ years, OnX has helped Canadian organizations solve complex technology challenges. Our national reach provides access to deep technical capabilities, industry specialists, and leading technology partners, while our local teams remain accountable for outcomes and invested in your success. We listen before we recommend and stay engaged throughout delivery.

Industry knowledge that matters. 

Regulatory requirements and operational realities shape your technology decisions. OnX brings deep experience supporting complex, highly regulated organizations through modernization, cybersecurity, cloud transformation, and AI adoption. With a deep understanding of governance, compliance, and security, we know how to deliver outcomes within those constraints.

Partnership that goes the distance.

Technology initiatives succeed when the right partner stays committed after implementation. OnX works alongside you from strategic planning and procurement to modernization, managed services, and AI transformation. We strive for partnerships built on trust, accountability, and a shared commitment to long-term success.

Further reading on IT modernization

Perspectives from OnX experts on modernizing the foundation your business runs on.

Frequently asked questions 

What is AI infrastructure? AI infrastructure, also known as an AI factory, is the compute, storage, and networking foundation AI workloads run on. Unlike traditional enterprise infrastructure, it’s designed around the demands of GPUs, cloud platforms, and data pipelines.
What’s the difference between AI infrastructure and traditional IT infrastructure? Traditional IT infrastructure was built around general-purpose CPUs, standard enterprise networking, and storage optimized for transactional systems and end-user applications. AI infrastructure adds GPUs, dramatically higher networking bandwidth — often 800 Gbps moving toward 1.6 Tbps — and storage tuned for the throughput training and inference demand. Other differences include the power and cooling profile, cost profile, and architectural assumptions about how compute, storage, and networking interact. Most enterprises end up running both side by side, which is why hybrid AI infrastructure design has become central to the conversation.
Do we need on-premises AI infrastructure, or can we run everything in the cloud? It depends on the workload. Some AI use cases run well in the public cloud, where GPU capacity can be rented on demand and capital expense is avoided. Others, such as sustained training workloads, latency-sensitive inference, workloads with strict data residency or sovereignty requirements, make a stronger case for dedicated on-premises or colocated infrastructure. Most enterprise AI programs end up hybrid by design, with workloads in the cloud, on-premises, and at the edge. The right mix depends on cost, performance, data gravity, and regulatory constraints. OnX designs hybrid cloud AI infrastructure with all four factors in view from the start.
Why do so many AI projects fail, and is infrastructure the reason? Industry research consistently puts the AI project failure rate above 70%, with some studies citing 80% or higher. Infrastructure is rarely the primary cause. The more common reason is data. AI projects fail because the underlying data isn’t structured, governed, or accessible in a way the AI can use. That said, infrastructure failures show up in their own way, including undersized GPU capacity, networking bottlenecks, storage that can’t keep pace, or a hybrid design that drives costs out of control. CBTS addresses both sides of the foundation, which is why our AI infrastructure work is tied closely to our data engineering and governance practices.
How does OnX work with partners like NVIDIA, Cisco, HPE, Dell, and Lenovo? OnX sits inside the design and build conversations with our OEM partners rather than outside placing orders. Our architects work directly with NVIDIA on validated AI factory designs, with Cisco on AI-ready networking and pod architectures, and with HPE, Dell, and Lenovo on the compute and storage platforms underneath. For clients with sophisticated engineering teams, we operate as a precision integration and fulfillment partner; for clients earlier in their AI journey, we lead the consultative design work and bring the right partner platforms to the table based on the use cases, not the other way around.

Build your AI foundation.

The infrastructure decisions you make in the next 12 months will shape what your organization can build for the next decade. We’re the partner who can help you make those choices with confidence.