The network has a clear owner.
Run internally, shared with a partner or bought as a service, with someone accountable for outages and recovery.
Technology infrastructure
Give each workload
the right home.
Build or buy. Open or proprietary models. GPUs on demand or dedicated capacity. The right choices depend on the work, and on how your data, network, and people will support it.
What this means for your businessThe workPeople. Data. Operations.
The connectionNetwork
Bandwidth · Latency · Resiliency
Models · GPUs · Storage
Connected to the work they support.
Why it matters
AI runs on the same foundation as everything else.
Every AI tool depends on the network your people use, the cloud or data center where it runs, and the connections between them. When those are strained, AI is slow, expensive or down.
Technology infrastructure is the layer that carries the work. Get it right and AI runs fast, stays up and costs what you expected.
Connect the whole workload
The model runs somewhere. Your data has to reach it.
A GPU can be ready while the data path is still the bottleneck. Private connections between your systems, data centers and cloud providers move data faster, with bandwidth that changes as the work does, and often at a lower transfer cost.
Business systemsData centersStorage
The connection layer
Private cloud access · Cloud-to-cloud routing · Flexible bandwidth
Cloud servicesGPU providersAI applications
What good looks like
Signs the foundation can carry it.
Workloads run where they fit.
A managed AI service, rented GPUs or dedicated capacity, chosen for the work and for what your team can run.
Build or buy is decided on purpose.
Configure what you own, buy a product or commission custom work, with support after launch agreed up front.
The full cost is visible.
Equipment, services, staff time, data transfer and cloud egress compared together before you commit.
Technology infrastructure
What to evaluate
Network, data center and cloud: the infrastructure AI and everything else runs on. See the full architecture
Network & connectivity
Carry work between offices, clouds and people, with security in the same path.
We ask: What happens to our traffic when a line fails, and how fast can we add bandwidth?
Internet & private linesEthernet & dark fiberMobile / LTESD-WANSASE / SSE
Data center & cloud
Colocation, private and public cloud, with recovery and cost control built in.
We ask: What will moving data in and out cost, and how do we get it back if we leave?
ColocationPrivate cloudBare metalCloud cost optimizationMigration
AI infrastructure
Capacity for AI workloads without building it yourself.
We ask: Is this capacity dedicated or shared, and what does it cost when it sits idle?
AI-ready data centersGPU as a serviceCloud networking
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