SOURCE IT. INSTALL IT. PUT IT TO WORK.

AI hardware.
Real-world possibilities.

From a local inference workstation to NVIDIA enterprise systems. We connect hardware sourcing and sales with onsite installation, configuration, and the support to run your AI.

01

Size & source

Map your models, users, budget, and site requirements. Compare supplier configurations and confirm the exact bill of materials.

02

Supply & install

Coordinate hardware supply, delivery, rack or workstation installation, networking, and power and cooling prerequisites.

03

Configure local inference

Set up supported drivers, CUDA, containers, and serving engines such as vLLM, Ollama, or NVIDIA NIM where suitable.

04

Validate & support

Check the agreed workload, access controls, monitoring, and recovery procedures. Hand over documentation and scope ongoing support.

FIND YOUR COMPUTE

The hardware behind
your next chapter.

Explore NVIDIA GPUs, integrated AI systems, and CPU platforms. Compare the deployment needs and ask us for a configuration that fits your workload.

Every configuration starts with a conversation. Exact specifications, condition, availability, warranty, lead times, and supply eligibility are confirmed in your quote.

9 options · 0 of 3 selected for comparison

Select up to three to compare.
GPU accelerators

NVIDIA H20

Discuss H20-class inference requirements and supplier-confirmed configurations for your deployment.

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GPU accelerators

NVIDIA H100

Scope H100-based compute for model serving, development, and demanding AI workloads.

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GPU accelerators

NVIDIA H200

Evaluate H200 systems for memory-intensive inference and larger model-serving requirements.

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GPU accelerators

NVIDIA B200

Plan Blackwell-based acceleration as part of a compatible AI server deployment.

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GPU accelerators

NVIDIA B300

Discuss Blackwell Ultra configurations for larger inference and AI infrastructure projects.

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AI systems

NVIDIA GB300 systems

Plan integrated Grace Blackwell Ultra infrastructure for projects that need a complete system approach.

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CPU platforms

NVIDIA Vera CPU platforms

Explore Vera-based CPU platform requirements as part of a compatible AI infrastructure design.

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AI systems

NVIDIA Rubin platforms

Discuss Rubin-based GPU infrastructure and Vera Rubin system requirements for your capacity roadmap.

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AI systems

Local AI workstations

Start local inference with a workstation or compact server sized to your team’s actual models and usage.

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A little more clarity

Good questions. Clear answers.

Have something more specific in mind?

Talk it through with us
Do you sell hardware or only provide installation?

We handle hardware sourcing and sales enquiries as well as installation, configuration, and support. These can be scoped together or separately. Each quote confirms the supplier configuration, condition, warranty, and delivery terms.

Can you help with H20e, Vera, and Rubin enquiries?

Yes. For H20e, send the supplier’s exact part number so we can verify the designation and specifications. Vera refers to a CPU platform; Rubin enquiries concern GPU and integrated system options. All supply and delivery details require supplier confirmation.

What do you need to recommend a GPU?

Share the models you want to run, expected concurrent users, context lengths, latency or throughput goals, budget, and site constraints. We assess model weights, runtime memory, power, cooling, and operating effort together.

What does local inference installation include?

The agreed scope can cover hardware installation, supported drivers and CUDA, containers, a serving engine such as vLLM, Ollama, or NVIDIA NIM, model access controls, monitoring, workload checks, and operational documentation.

Does local inference keep all data onsite?

We review the complete data flow, including retrieval, telemetry, backups, model downloads, and tool calls. Running a model locally does not by itself make every connected service local.

From ambition to action

A small first step.
Or your next AI rack.

Tell us what you want to run. We’ll help scope the hardware, the installation, and the operating plan.

Request a hardware quote