AI Infrastructure
From AI-ready infrastructure to AI in production
Most companies have invested in AI infrastructure — but the cluster sits half-used. Your architecture is solved; operations isn’t.
Build it right. Run it smart. Then run it everywhere.
Scale AI with confidence. We create AI clusters, modernize networks into a Zero Trust fabric, and turn token economics into a predictable cost advantage.
Operationalize AI infrastructure
Gain a self-service developer experience with available GPUs, mounted data, and a ticket-less pipeline.
Tokenomics
Turn unpredictable AI costs into a visible budget by exposing cost per token, model, and team.
Hybrid AI
Avoid locked-in workloads. Instead, run workloads on a platform where the economics make sense.
Start with operationalized AI infrastructure
Imagine a working developer control plane built on top of your IT cluster. Insight brings this to the table and offers the five pieces a typical SOW leaves out so you get the most out of your investment. This includes:
- Control plane: self-service portal; GPU and notebook on demand
- MLOps: pipelines, model registry, lineage, approvals
- Identity & quota: SSO, RBAC, project quotas mapped to the organization
- Data fabric: Governed, low-latency data access wired into the developer's notebook
- Cloud FinOps: Cost visibility per token, model, and team
Our end-to-end AI infrastructure services are backed by a reference architecture sized to your team’s actual workloads and pipelines. Delivered as a private AI cloud — AI IaaS, Inference-as-a-Service, and LLM-as-a-Service — self-managed or fully managed by Insight.
“Insight helped us turn generative-AI ambition into something real. Starting with legal operations, we now have a production LLM solution in the hands of our team and a roadmap for scaling AI across the business — with one accountable partner from strategy through deployment.”
Jason Rivera
Chief Technology Officer, Verra Mobility
NPS 69 compared to industry average of 32
6,500+ engineers
14 global delivery centers
93% of world GDP reach
Optimize your tokenomics to run it smart
AI pricing is shifting to a per-token model — and cost can quickly become difficult to predict. Insight provides a cloud FinOps view that exposes cost per token, model, and team.
It also includes on-premises token generation at scale on NVIDIA IT infrastructure for the lowest cost per token, turning AI spend into a defensible budget.
You’ll gain:
- Cost visibility via Inference-as-a-Service and LLM-as-a-Service
- A FinOps model that reports cost across the board
- Budget clarity for finance and IT leaders
Run it everywhere with a hybrid AI platform
One platform spans on premises, cloud, neo-cloud, and edge, with a clear recommendation for where each workload should run without guesswork.
Grounding your hybrid AI platform as a one-time hardware purchase that becomes a platform your teams build on for years helps you avoid overpaying or hitting on-premises limits.
Our hybrid AI infrastructure develops in the cloud or deploys on-premises via containerization; burst to cloud, push to edge as the economics dictate.
- The platform supports Dell, Cisco, and HPE AI factories and hyperscaler/neo-cloud integrations.
- Intelligent Edge Framework provides real-time, distributed inference at the point of action, and latency-sensitive or disconnected environments.
- Get your AI deployment recommendation: Which workloads belong on premises, which should burst to cloud, which run at the edge?
Why global leaders partner with Insight
Our decades of IT consulting experience and workshops help you find the right balance for your data estate and AI infrastructure. Whether your organization has bought more AI licenses or needs a starting point, our experts meet you where you’re at.
Gain a clear view of what it takes to modernize AI at scale — from buy‑in and platforms to the metrics that matter — from Texans Credit Union’s journey.