GPU servers / Private AI infrastructure

The right AI compute.
Ready for your factory.

We select, source, install and configure current-generation GPU infrastructure for your business. More than servers - a complete foundation for your private AI.

Hardware selected for your workloadLocal AI setup includedOne team for delivery and support
Skill Focus / Private compute
AI COMPUTE / RACK 01
GPU compute
GPU compute
Model serving
Enterprise data
Storage + network
Local modelsCompany-controlled inference
Factory CopilotRole-based employee AI
Industrial agentsAnalysis and automation
Compute design

Right-sized to people, models and workloads.

Hardware sourcing

Current-generation options and vendor coordination.

AI deployment

Models, access and data connections configured.

Ongoing support

Monitoring, maintenance and capacity planning.

One partner, complete infrastructure

We don't just ship servers.

Buying hardware is only the first step. You still need the right AI models, secure access, connections to internal systems and a team that keeps everything running.

Skill Focus builds the environment behind your company's AI - from the server room to the applications your employees actually use.

A
Workload assessment

Understand users, models, agents, data volumes and security needs.

B
Hardware and system design

Specify accelerators, memory, storage, networking and expansion capacity.

C
Private AI environment

Deploy local models, inference services, permissions and monitoring.

D
Integration and operations

Connect enterprise data, Factory Copilot and agents; support the environment.

Sourcing / Current-generation hardware

High-demand hardware.
A smarter way to source it.

High-performance AI hardware can be difficult to source. Lead times, availability, power requirements and compatible components can change quickly.

Our technical expertise and participation in industry programs, including NVIDIA Inception, help us evaluate available options, engage with the ecosystem and organize procurement more efficiently than starting the process from scratch.

We compare current-generation configurations at the time of purchase, choose components that fit your workloads and build in a clear path for expansion. No outdated inventory pushed just to complete a sale.

Current-generation options, selected at the time of procurement.

Vendor comparisons based on lead time, compatibility and total cost.

One coordinated path from sourcing to installation.

Delivery timing and specific models depend on supplier availability. Program membership does not guarantee priority allocation or access to unavailable products.

Hardware procurement / coordinated workflow
1
Define the requirementModels, concurrent users, security and growth.
Engineering
2
Shortlist current hardwarePerformance, GPU memory, power and compatibility.
Technical review
3
Check availabilitySupplier lead times, alternatives and warranty terms.
Procurement
4
Deliver and configureInstall compute, local models and security controls.
Deployment
5
Operate and scaleBenchmark performance and expand when needed.
Support
Infrastructure that fits your business

Different factories.
Different compute.

There is no universal server for every factory. We design each system around the intelligence your company needs today, with room for what comes next.

Employee AI

Private Copilot

Fast, secure answers from internal documents, procedures, maintenance records and enterprise applications for employees across your company.

Workload focus: employee access + document retrieval
Cross-functional intelligence

Industrial AI agents

Multiple agents can analyze production, quality, maintenance and procurement data at the same time, with more demanding reasoning workloads.

Workload focus: parallel agents + complex analysis
Advanced manufacturing

Connected operations

Computer vision, simulations and automated workflows introduce new compute, network and reliability requirements as factory systems become more connected.

Workload focus: multimodal AI + simulation + growth
Interactive compute configurator

Estimate the infrastructure behind your AI.

Tell us how your team will use AI. See an illustrative capacity range, an infrastructure profile and what it could support. The final design is based on performance benchmarks and actual requirements.

Your workloadEditable estimate
500
253,000

From document assistance to advanced multi-agent reasoning.

Configurations are illustrative and vendor-neutral.
Suggested starting capacity

Enterprise AI foundation

Private Copilot and industrial AI agents for a connected factory.

4-8GPU accelerators
1-2Compute servers
80 GB+GPU memory target per unit
256-512 GBSystem RAM per server
4-8 TBFast local storage
40-70Estimated active AI sessions
Employee Copilotmoderate
Industrial AI agentsmoderate
Production systems and visionlight
What this setup supports

An employee Copilot connected to company knowledge, alongside specialized agents for daily operational tasks.

Get my infrastructure proposal

Planning illustration only, not an equipment quote or sizing guarantee. Requirements depend on model architecture, latency targets, concurrency, availability, network and data volumes. Validate using actual workloads before procurement.

Delivery and operations

From infrastructure design to everyday use.

We coordinate the technical work needed to make private AI usable, secure and maintainable inside your company.

PlanAssess requirements

We review user roles, model capabilities, company data, expected loads and IT policies.

DesignSelect and source hardware

We propose a current-generation configuration and coordinate availability, compatibility and delivery planning.

InstallDeploy private compute

We configure servers, model inference, storage, networking and access controls within the agreed environment.

ConnectEnable company AI

We connect the environment to Factory Copilot, AI agents and permitted enterprise information sources.

OperateSupport and expand

We review performance, update configurations and plan additional capacity as the business grows.

Customer-controlled AI

Powerful AI.
Inside your environment.

Your company controls where the models run, how internal data is accessed and which workloads can connect to industrial systems. Private deployment can operate without sending sensitive inference data to external AI APIs.

Security, network isolation, update policies and employee permissions are designed around your existing IT requirements.

On-premises or customer-controlled hosting

AI processing and operational data remain inside the selected environment.

Role-based access

Employees only access the systems and knowledge their company permissions allow.

IT and production network separation

Integrations are designed with controlled interfaces, audit logs and independent industrial safety functions.

Operational control

Monitoring, approved updates and capacity management follow your IT policies.

Frequently asked questions

What IT and operations teams ask.

Clear answers before infrastructure procurement begins.

Do we need to know which GPU server to buy?

No. We start with the AI workload, number of users and system requirements, then recommend a suitable current-generation configuration.

Can you source hardware that is difficult to find?

We compare suitable suppliers and alternatives, coordinate procurement and use our technical ecosystem to help simplify the process. Availability, exact models and delivery dates depend on vendors, so no allocation or deadline is guaranteed.

Will you use the newest available hardware?

We prioritize current-generation, actively supported options that fit your performance and budget. The newest GPU is not always the best or most available choice, so we benchmark alternatives rather than selling outdated stock or unnecessary capacity.

Can we use servers we already own?

Yes. We can review existing hardware and recommend where it can be reused, expanded or replaced based on the planned AI workloads.

Can the AI run without sending information to the cloud?

Yes, with a properly configured private deployment. Models can run locally, with external API calls and telemetry disabled according to the agreed security design. Supplier access, updates and optional external integrations are controlled separately.

What happens as our AI usage grows?

We plan for expansion from the beginning, monitor capacity requirements and help adjust the infrastructure as more employees, agents and industrial applications are connected.

Does this include software and support?

We can provide the complete solution - hardware design and supply, local AI models, platform integration and ongoing support. The scope is defined in the project proposal.

Skill Focus / Infrastructure

Build an AI foundation that works for your business.

Tell us what your company needs. We'll help you choose the right computing capacity, source a suitable configuration and turn it into a private AI environment.