Engineering for private AI, on-prem datacenters, and managed IT. Built around your workloads and data, with Michigan datacenters and nationwide colocation options.
PRIVATE AI INFRASTRUCTUREDATACENTER INFRASTRUCTUREMANAGED IT SERVICES
THE RIGHT FOUNDATION
Complex infrastructure. Clear direction.
Private AI, datacenter engineering, and everyday IT—connected by one engineering perspective. Here’s what we plan with you, with the final scope shaped around your needs.
Private AI infrastructure
Bring AI closer to your data. Plan an environment you control, with compute, storage, and networking sized around the models and applications you want to run.
Workload & data assessment
Define your use cases, model requirements, and data access boundaries.
Hardware & network design
Plan servers, accelerators, storage, connectivity, and rack requirements.
Deployment roadmap
Set a direction for on-prem or colocated infrastructure and its ongoing operation.
Design around your workloads, your space, and your growth. Connect on-prem engineering with colocation options in our Michigan datacenters and nationwide partner facilities.
Site & capacity planning
Evaluate space, rack power, cooling, and the capacity your workloads need.
Infrastructure architecture
Connect compute, storage, and network requirements in a practical design.
Colocation placement
Compare Michigan and partner locations against your operating needs.
Give your business an engineering partner for everyday IT. Build a managed service plan around the systems your team relies on and the support they need.
Environment review
Understand your existing systems, users, and infrastructure dependencies.
Management & support scope
Define the systems, responsibilities, and support needs your plan will cover.
Technology roadmap
Prioritize improvements and plan for changes as your business grows.
Keep your models and data on infrastructure you control, on-prem or in colocation. We help connect the AI you want to run with the environment it needs.
EXPLORE YOUR STARTING POINT
What are you building toward?
Different workloads call for different foundations.
PRIVATE AI
Build around your data and your control.
Run models next to your data, on infrastructure you control. Start with data boundaries, application needs, and how your team will operate the environment.
Compute
Balance available capacity with model size and business use cases.
Networking
Design access and segmentation around your data boundaries.
Facility
Choose on-prem or colocation based on operating needs and space.
AI INFERENCE
Bring intelligence closer to the business.
Whether you’re serving an internal assistant or deploying an AI application, begin with response time, expected demand, and where your data needs to live.
Compute
Match acceleration and memory to the model and expected concurrency.
Networking
Plan for application latency, data access, and connectivity.
Facility
Align rack power and cooling with the hardware you select.
MODEL TRAINING
Give demanding workloads room to work.
A training environment is a connected system. Compute, storage throughput, networking, and facility capacity need to be planned together.
Compute
Size accelerators and memory around the model and training approach.
Networking
Evaluate interconnects and storage throughput alongside the compute plan.
Facility
Account for sustained load, power delivery, and thermal capacity.
ENGINEERING MEETS OPERATIONS
Engineering expertise. Operator perspective.
We operate datacenters in Michigan and work with colocation partners nationwide. That connects engineering decisions to the places your infrastructure will run.
Understand the workload.
Start with your business, your existing environment, and the problem you need to solve.
Engineer the foundation.
Connect the technical requirements to a practical plan for capacity, connectivity, and operations.
Build the path forward.
Define the next steps for deployment, colocation, or ongoing management around your priorities.
LOCAL KNOWLEDGE. A WIDER HORIZON.
Based in Michigan. Built to go further.
MichiganOur home. Our datacenters.
Great LakesRegional infrastructure and IT.
NationwideServices and colocation partners.
START HERE
A few good questions.
Do you work with businesses outside Michigan?
Yes. Magna Space is based in Michigan and serves the Great Lakes region and businesses nationwide. Colocation options include our smaller Michigan datacenters and nationwide partner facilities.
Can you help with infrastructure at our own location?
Yes. On-prem datacenter design is a core service. We work from your workload and site requirements to plan the compute, network, power, and cooling considerations for your environment.
Are managed services only for large enterprises?
No. Our managed IT services also serve smaller and growing businesses. The initial conversation helps define the right scope for your users, systems, and operating needs.
Can we discuss AI before choosing hardware?
Absolutely. Starting with the workload helps clarify compute, networking, data, and facility requirements before you commit to an infrastructure direction.
LET’S BUILD YOUR NEXT CHAPTER
Big plans? Start with a conversation.
Bringing AI in-house, planning a datacenter, finding colocation, or improving your IT? Tell us where you want to go.
