Is this legal procurement advice?
No. This page is a technical and quote-preparation checklist. The responsible procurement team should still review the formal procurement wording.

Use a configuration URL to keep hardware assumptions visible before internal review, a budgetary quote, or formal procurement documents.
Use the information here to pick a starting configuration, confirm the assumptions, and prepare a quote request.
Supports early specification alignment before formal procurement documents are finalised.
Keeps workload, component, deployment, and quote assumptions in one shareable URL.
For research, university, government, and public-sector AI infrastructure teams.
No. This page is a technical and quote-preparation checklist. The responsible procurement team should still review the formal procurement wording.
It keeps the selected hardware assumptions in a URL, so technical reviewers and purchasing staff discuss the same configuration.
Decision worksheet
Record these three decisions before opening the configurator or requesting a quote.
Specification review and budgetary quote
Supports early specification alignment before formal procurement documents are finalised.
Workload, GPU class, storage, power, warranty
Keeps workload, component, deployment, and quote assumptions in one shareable URL.
Configuration URL for internal review
For research, university, government, and public-sector AI infrastructure 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.