Size & source
Map your models, users, budget, and site requirements. Compare supplier configurations and confirm the exact bill of materials.
SOURCE IT. INSTALL IT. PUT IT TO WORK.
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.
Map your models, users, budget, and site requirements. Compare supplier configurations and confirm the exact bill of materials.
Coordinate hardware supply, delivery, rack or workstation installation, networking, and power and cooling prerequisites.
Set up supported drivers, CUDA, containers, and serving engines such as vLLM, Ollama, or NVIDIA NIM where suitable.
Check the agreed workload, access controls, monitoring, and recovery procedures. Hand over documentation and scope ongoing support.
FIND YOUR COMPUTE
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.Discuss H20-class inference requirements and supplier-confirmed configurations for your deployment.
Availability confirmed by quoteScope H100-based compute for model serving, development, and demanding AI workloads.
Availability confirmed by quoteEvaluate H200 systems for memory-intensive inference and larger model-serving requirements.
Availability confirmed by quotePlan Blackwell-based acceleration as part of a compatible AI server deployment.
Availability confirmed by quoteDiscuss Blackwell Ultra configurations for larger inference and AI infrastructure projects.
Availability confirmed by quotePlan integrated Grace Blackwell Ultra infrastructure for projects that need a complete system approach.
Availability confirmed by quoteExplore Vera-based CPU platform requirements as part of a compatible AI infrastructure design.
Availability confirmed by quoteDiscuss Rubin-based GPU infrastructure and Vera Rubin system requirements for your capacity roadmap.
Availability confirmed by quoteStart local inference with a workstation or compact server sized to your team’s actual models and usage.
Availability confirmed by quoteA little more clarity
Have something more specific in mind?
Talk it through with usWe 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.
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.
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.
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.
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
Tell us what you want to run. We’ll help scope the hardware, the installation, and the operating plan.