What happens after I submit a quote request?
EudTech receives the configuration summary and contact details, then follows up by email or phone.

Choose an H200 server or an RTX PRO 6000 workstation. Replace vague RFQ notes with a configuration URL that records GPU, CPU, RAM, storage, power, cooling, and network. EudTech uses it to confirm price and delivery.
Clarify the workload and deployment constraints here, then decide the next step before requesting a quote.
For teams ready to compare GPU server builds and send a quote request.
The quote request email reaches EudTech with the selected configuration summary.
Useful for procurement, research labs, system integrators, and IT teams.
The configuration keeps the price-driving hardware and deployment assumptions visible for budget review.
EudTech receives the configuration summary and contact details, then follows up by email or phone.
Yes. The share link preserves the selected configuration, so technical reviewers see the same hardware assumptions.
The price depends on GPU count and model, CPU platform, memory, storage, power, cooling, networking, delivery, and supply conditions. The configurator records those variables so EudTech can return a configuration-specific quote.
Decision worksheet
Record these three decisions before opening the configurator or requesting a quote.
GPU, CPU, RAM, storage, power, network, URL
For teams ready to compare GPU server builds and send a quote request.
EudTech sales follow-up
The quote request email reaches EudTech with the selected configuration summary.
Early specification and RFQ alignment
Useful for procurement, research labs, system integrators, and IT teams.
Continue to a related guide, or open the configurator once the assumptions are confirmed.
Plan an NVIDIA H200 server quote for AI training, HPC, or inference. EudTech confirms current availability, price, and delivery only after GPU count, CPU, memory, storage, power, cooling, and networking are defined.
Configure RTX PRO 6000 workstations for local AI inference, rendering, visualization, and simulation, then send the build to EudTech for Taiwan quote follow-up.
Choose between deskside AI workstations, rackable GPU systems, and integration-kit paths for Taiwan teams that need GPU acceleration, local inference, model development, rendering, or simulation workloads.
Explore GPU server cooling and liquid-cooled GPU server configurations for sustained AI and HPC workloads, then request a formal quote from EudTech.