Model-specific presentation · exact unit photos with quoteAI & GPU Servers
AI & GPU Server Supply
GPU-dense and accelerator-ready systems for AI training, inference, HPC, simulation and visual computing.
Procurement scope
What buyers can choose.
Choose the platform, configuration and delivery support your project needs.
Typical use cases
Matched to real deployment needs.
Model trainingInference clustersHPCSimulationAI factory expansion
Pre-owned models to compare
Common server families for value-focused projects.
Compare model families, typical configurations and condition requirements before requesting available units.
Dell2U rack server
PowerEdge R740
Virtualization, database, private cloud and reseller inventory programs.
Example configuration
- 2× Intel Xeon Gold 6142
- 512GB DDR4 memory
- 6× 240GB SATA SSD
Confirm the exact specification, condition and availability in your quotation. Images illustrate the model; request photos of the offered equipment.
Dell2U storage-dense rack server
PowerEdge R740xd
Storage-heavy virtualization, backup nodes and mixed SSD/HDD project builds.
Example configuration
- 2× Intel Xeon Gold 5120
- 384GB DDR4 memory
- 24× 2.5-inch front-bay chassis
Confirm the exact specification, condition and availability in your quotation. Images illustrate the model; request photos of the offered equipment.
Dell2U storage-dense rack server
PowerEdge R730xd
Cost-sensitive storage, lab clusters, spare capacity and legacy generation matching.
Example configuration
- 2× Intel Xeon E5-2603 v3
- 192GB DDR4 memory
- 18× 240GB SATA SSD
Confirm the exact specification, condition and availability in your quotation. Images illustrate the model; request photos of the offered equipment.
Dell2U rack server
PowerEdge R730
General compute, virtualization expansion and stable enterprise refresh projects.
Example configuration
- 2× Intel Xeon E5-2603 v3
- 192GB DDR4 memory
- 8× 240GB SATA SSD
Confirm the exact specification, condition and availability in your quotation. Images illustrate the model; request photos of the offered equipment.
Configurable models
Platforms buyers compare in this category.
Model presentation · exact unit photos with quoteHPE
HPE ProLiant DL380 Gen11
A versatile 2U system for hybrid cloud, data analytics, accelerator workloads and data-intensive services.
ORDER SUPPORTFactory-new supply with clear packing, warranty and delivery options
Model presentation · exact unit photos with quoteLenovo
Lenovo ThinkSystem SR675 V3
A 3U AI and deep-learning platform for 8-GPU training nodes, H800 / RTX-class accelerator requests, enterprise inference and high-density AI projects.
ORDER SUPPORTFactory-new Lenovo ThinkSystem supply with original packaging, pallet protection and accessory review
Model presentation · exact unit photos with quoteSupermicro
Supermicro AS-4125GS-TNRT
A high-density accelerator platform for AI training, simulation, big data analytics and scientific computing.
ORDER SUPPORTFactory-new supply with clear packing, warranty and delivery options
Model presentation · exact unit photos with quoteASUS
ASUS ESC8000A-E12
A factory-new ASUS GPU server barebone supply path for deep learning, virtualization, rendering and enterprise AI projects.
ORDER SUPPORTFactory-new ASUS Server Series packaging with original carton, labels, rails and accessory confirmation
Model presentation · exact unit photos with quoteNVIDIA
NVIDIA DGX B200
A unified Blackwell AI platform for large-model training, fine-tuning, inference and enterprise AI factories.
ORDER SUPPORTFactory-new supply with clear packing, warranty and delivery options
Model presentation · exact unit photos with quoteZTE
ZTE R5300 G5
A modular enterprise platform for cloud, big data, virtualization and AI inference workloads.
ORDER SUPPORTFactory-new supply with clear packing, warranty and delivery options
Model presentation · exact unit photos with quoteHitachi Vantara
Hitachi Advanced Server DS225
A resilient 2U platform for analytics, AI, deep learning and business-critical enterprise applications.
ORDER SUPPORTInspected pre-owned supply with protective export packing
AI infrastructure buying guide
Plan compute, network, storage, power and cooling as one AI system.
An 8-GPU server is only one part of the project. We connect GPU generation, host CPU and memory, high-speed NIC/HCA layout, 200G/400G/800G fabric, storage throughput, optics, power, cooling and expansion into one purchasing path.
AI training teams
Scale-out H100, H200, B200 and B300 projects where east-west bandwidth and validated fabric design matter.
Enterprise inference operators
Compact clusters using L40S, RTX PRO 6000 and similar accelerators for private AI services.
Cloud, HPC and research buyers
Teams comparing Ethernet/RoCE and InfiniBand architectures across multiple rack and budget stages.
Before we quote
The information that turns a request into the right offer.
You can start with partial information. These are the decisions our team closes with you before order confirmation.
DecisionWhat we reviewWhat you receive
GPU node planServer model, GPU type/count, CPU, memory and GPU/NIC localityA node-by-node configuration schedule
Fabric designEthernet/RoCE or InfiniBand, NIC/HCA count, blocking target and failure stateTopology, port map and switch shortlist
Storage pathTraining data size, protocol, throughput, metadata and checkpoint behaviorSeparate storage and compute-fabric requirements
Facility fitRack depth, total weight, voltage, PDU, power, cooling and cable routesRack, power and thermal notes before shipment
Inside the supply process
Product, configuration and delivery shown in context.
What appears on the offer
Commercial detail buyers can approve with confidence.
Claims are tied to the exact model, serial status, configuration and destination shown on the quotation.
The offer separates the main unit, selected options, required accessories and any software or subscription items.
Condition, included rails, bezels, caddies, cables, documentation and packaging are stated before order confirmation.
Selected parts are checked against current manufacturer documentation and available configuration tools.
Validation, allocation, testing, packing, export clearance and transit are shown as separate milestones.
Provider, duration, service level, covered geography and material exclusions appear on the quote.
The offer or sales contract states the DOA notice window, written RMA process, return-freight responsibility, inspection or restocking charges, non-returnable configured or licensed items, remedy and return location.
The named destination, packed size, freight method and quoted Incoterms® 2020 rule are recorded clearly.
Project path
From requirement to international delivery.
Tell us what must work
Send the model, workload, quantity, preferred condition, deadline and destination.
Review the technical fit
We close configuration, compatibility, licensing, power, accessories and acceptable alternatives.
Approve the documented offer
You review availability, condition, inclusions, warranty, timeline, packing and freight terms.
Prepare, pack and hand over
Testing or seal review, photos, protective packing, export documents and carrier handover follow the approved scope.
Buyer questions
Answers before the first purchase order.
Should an H100 or H200 cluster start at 400G?
Often, but not automatically. The correct speed depends on node interfaces, workload traffic, storage design, rack count, blocking target and future scale.
When does 800G make sense?
It is useful for newer high-density nodes, high-radix spine layers, dual-400G breakouts and designs intended to reduce fabric tiers.
Do you quote optics and cables with the switches?
Yes. A complete project can include NIC/HCA, optics, DAC/AOC, fiber trunks, patching direction, cable length and spare quantities.
Can you guarantee non-blocking performance?
Only after the node interfaces, topology, cable plan, failure behavior and workload have been calculated. We do not make a blanket performance claim from switch speed alone.
What information speeds up an AI quote?
Send GPU/server type, current and target node count, workload, NIC/HCA layout, preferred fabric, storage throughput, rack power and delivery location.
