01
Workload
Models, software, data volume, user count, and continuous run time.
GPU server selection and procurement
Not sure which system to buy? Start with the requirement
EudTech helps research units, enterprises, and public-sector teams confirm the workload, system type, GPU, power, cooling, and procurement terms. The result is a configuration and quote request that reviewers can check.
Choose your procurement stage
What do you need to do now?
Choose one route. You do not need to read every guide before contacting EudTech.
Need help choosing
Ask EudTech to help choose
Share the model, software, user count, run time, site, and budget range. EudTech first confirms whether a workstation or a server fits.
Start a selection discussionAlready know the rough specification
Build a configuration directly
Choose a server, rackable workstation, desktop workstation, or integration kit, then set the GPU, CPU, memory, and storage.
Open configuratorPreparing procurement documents
Public-sector procurement reference
Download manufacturer datasheets and guides. Review cooling, service, monitoring, power redundancy and conformity evidence to define verifiable requirements and acceptance terms.
View reference and manufacturer documentsMost-used guides
Start with the four most common buying questions
H200 vs RTX PRO 6000: Which Fits AI Training and Local Inference?
H200 vs RTX PRO 6000: compare dense AI training and HPC server deployment with local AI inference and workstation deployment, then open the matching configurator for a Taiwan quote-ready configuration.
Open guideNVIDIA H200 Server Quote, Availability, and Price Planning
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.
Open guideLiquid-Cooling AI Server Procurement Guide
Plan liquid-cooled AI server procurement around GPU density, sustained workloads, rack deployment, power capacity, and quote-ready configuration details.
Open guideTaiwan Public Procurement GPU Server Checklist
Prepare Taiwan public-sector GPU server procurement discussions with clear workload, configuration, quote, delivery, warranty, and review assumptions.
Open guideConfirm four items before requesting a quote
A GPU model alone does not determine the right system. These four items set the configuration, the quote, and the acceptance scope.
Source: official Comino product and technical documentation
02
Deployment conditions
Deskside or rack, power, cooling, noise, network, and handling limits.
03
Procurement conditions
Budget, availability, lead time, installation, warranty, payment, and required documents.
04
Acceptance method
Hardware identification, stress tests, temperatures, error logs, and the agreed workload.
Browse all GPU procurement topics17
These topic pages cover specific search and procurement needs. Start with the three routes above unless you need a particular subject.
Selection and quoting
- NVIDIA H200 Server Quote, Availability, and Price Planning
- RTX PRO 6000 AI Workstation Quote Configurator for Local Inference
- AI Workstation Taiwan Configurator
- Liquid-Cooled GPU Server Cooling and Quote Configurator
- GPU Server Quote and AI RFQ Configurator for H200 or RTX PRO 6000
- AI Inference Server Quote Configurator for Taiwan LLM and Private Model Deployment
Deployment and cooling
Comparison and decisions
RFQ and public procurement
Bring the workload. EudTech helps define the system.
The first discussion confirms the missing information, candidate platforms, and site constraints, then sets the next configuration or quote step.