Graphics cards gpu
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Gigabyte Aorus Geforce Rtx 5090 Master 32GB Gddr7 Gaming Graphics Card GPU
Nvidia Geforce Rtx 5080 16GB Gddr7 Turbo Blower GPU Graphics Card
High-Performance Rtx A6000 48GB GPU Server for Professionals
High-Performance Nvidia A40 48GB GPU for Visual New Ai Training Inference Server Graphics Card Host
Nvidia H200 Nvl 141GB Tensor Core GPU High-Performance GPU
Nvidia Rtx 4000 Ada Generation 20GB Gddr6 Professional Workstation Graphics Card GPU
Nvidia Quadro Rtx 5000 16GB Gddr6 Professional Graphics Card GPU
High-Performance Blackwell GPU Rtx PRO 6000 Graphics Card for Sever or Workstation
Nvidia H200 Nvl 141GB GPU High-Performance Computing Graphics Card Pn: 900-21010-0040-000
Nvidia T4 P4 P40 P100 M10 M60 Gp100 Gv100 V100 L4 L40 L40sworkstation Graphics Card GPU
Nvidia P2200 P1000 P620 P400 P600 P4000 P5000 P6000 P2000 Workstation Graphics Card GPU
Nvidia Tesla L40s L40 L4 48GB Deep Learning GPU Operation Acceleration Ai Graphics Card
Nvidia H200 Nvl 141GB GPU High-Performance Computing Graphics Card Pn: 900-21010-0040-000
Custom GPU Server Dgx Hgx OEM Rack 8u Sxm Pcie Graphics Card Classic
Nvidia Quadro Rtx 8000 Professional Graphics Card GPU— 48GB Gddr6
Quadro Rtx 2000 Ada 16g Nvidia Generation Graphics Card GPU
Quadro Rtx A2000 12g Hot Sales Graphics Cards Wholesale Factory Graphics Card GPU
Nvidia Rtx PRO 4000 Blackwell 24GB GPU Blackwell Generation Professional Graphics Card
Nvidia Tesla V100 32g Sxm2 OEM Graphics Card GPU
Nvidia L40 48GB Pcie Gen4 Passive GPU High-Performance Computing Graphics Card
Rtx A6000 48GB Workstation GPU Quadro Video Card Graphics Card
Rtx A6000 48GB GPU Gddr6 Graphics Card Ai Deep Calculation Deepseek
Nvidia Rtx 4070 Ti Gaming GPU High-Performance Graphics Card
New Stock Original Ai Inference Training Compute Acceleration GPU Graphics Card a-100 80GB
New Computing Artificial Intelligence Domestic GPU Graphics Card Tianshu Zhixin Tiangai 150 64G Corresponds to Tesla A100
Brand New Stock Rtxa5000 24GB GPU Graphics Card Modeling Rendering Professional Card Server Workstation Computer Host
New Spot Tesla L20 48GB GPU Deep Learning Computing Edge Computing Ai Server Graphics Card
New Spot Tesla L20 48GB GPU Deep Learning Computing Edge Computing Ai Server Graphics Card L20 Tensor Core GPU
Sourcing guidance for Graphics Cards Gpu
How to choose the right GPU specifications for different business needs?
Selecting the correct GPU depends on the end-user application. For gaming and consumer retail, focus on NVIDIA GeForce RTX or AMD Radeon RX series with at least 8GB of GDDR6 VRAM. For AI development and data centers, prioritize high memory bandwidth (HBM2/HBM3) and Tensor Cores found in enterprise models like the NVIDIA A100 or H100. For workstations (CAD/Video Editing), ensure the cards support ECC (Error Correction Code) memory to prevent system crashes during long rendering tasks.
What are the key technical compatibility factors to verify before bulk purchasing?
You must confirm the PCIe interface version (e.g., PCIe 4.0 x16) to ensure it matches the buyer's motherboard capabilities. Additionally, verify the TDP (Thermal Design Power) requirements; high-end GPUs may require 850W+ Gold-rated Power Supply Units (PSUs) and specific 8-pin or 16-pin (12VHPWR) power connectors. Physical dimensions, specifically the card length and slot thickness (2-slot vs 3-slot), must fit the intended chassis.
What compliance standards and certifications are mandatory for international GPU trade?
Electronic components must meet strict regional regulations. For the European market, CE marking and RoHS (Restriction of Hazardous Substances) compliance are mandatory. For the United States, FCC certification is required to ensure electromagnetic interference is within legal limits. If you are sourcing for the South Korean market, ensure the products carry the KC (Korea Certification) mark.
How can I validate the authenticity and quality of GPUs from a supplier?
To avoid 're-marked' or used mining cards sold as new, request original factory serial numbers and verify them on the manufacturer's website. Demand stress test reports (e.g., 3DMark or FurMark) conducted for at least 24 hours to ensure thermal stability. For large orders, prioritize suppliers on Made-in-China.com who offer third-party factory audits and have a Verified Supplier status.
Cross-Border GPU Procurement Risks and Strategies
What are the common risks in cross-border GPU transactions?
The primary risks include price volatility, where market prices change between the deposit and shipping dates, and counterfeit or refurbished goods being passed off as new. To mitigate this, use Trade Terms that include inspection clauses and always use secure payment methods provided by platforms like Made-in-China.com to ensure funds are only released upon proof of shipment.
How should I negotiate with GPU suppliers for better terms?
Focus on Price Protection Clauses; since GPU prices fluctuate with crypto-mining trends and chip shortages, negotiate a fixed price for a 30-day window. For bulk orders, instead of just asking for a discount, negotiate for extended warranty periods (e.g., 3 years instead of 1) or free spare parts (fans/shrouds) which are the most common failure points.
What are the best practices for shipping sensitive electronics like GPUs?
GPUs are sensitive to Static Electricity and physical shock. Ensure the supplier uses Anti-Static Bags (ESD shielding) and custom-fit foam packaging. For international shipping, request double-walled corrugated boxes and palletization for orders over 50 units to minimize handling damage. Always insist on Full Value Cargo Insurance to cover potential loss or damage during transit.
How do international trade policies affect GPU sourcing?
Be aware of Export Controls, especially for high-performance AI chips (like the NVIDIA H-series), which may face U.S. Department of Commerce restrictions when shipping to certain regions. Additionally, check the HS Code (typically 8471.80) for your specific country to calculate import duties and VAT, as these can significantly impact your total landed cost.





























