Graphics cards gpu
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Nvidia H200 Nvl 141GB GPU High-Performance Computing Graphics Card Pn: 900-21010-0040-000
Nvidia Tesla A800 80GB Pcie GPU Deep Learning Computing Graphics Card
OEM Tesla V100 32GB Hbm2 Pcie GPU Graphics Accelerator Card
Custom GPU Server Dgx Hgx OEM Rack 8u Sxm Pcie Graphics Card Classic
Original Nvidia H200 Nvl 141GB Ai GPU Graphics Card for Ai Training Inference and Data Center
Nvidia Quadro Rtx 8000 Professional Graphics Card GPU— 48GB Gddr6
Quadro Rtx 2000 Ada 16g Nvidia Generation Graphics Card GPU
Nvidia Rtx A4500 20GB Graphics Cards GPU A4500
Quadro Rtx A2000 12g Hot Sales Graphics Cards Wholesale Factory Graphics Card GPU
Nvidia Rtx A1000 8GB Workstation Graphics Card (RTXA1000) GPU
Nvidia L40 48GB Pcie Gen4 Passive GPU High-Performance Computing Graphics Card
Nvidia Tesla T4 16GB Gddr6 Ecc Tensor Core GPU Accelerator Card for Ai Server Graphics Card
Nvidia Rtx 5000 Ada Generation 32GB Gddr6 Ecc Professional Graphics Card GPU
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 PRO 6000 Server Edition 96GB Gddr7 Blackwell Pcie 5.0 Server GPU Graphics Card
Nvidia Rtx PRO 6000 Blackwell 96GB Gddr7 Workstation Graphics Card GPU
Nvidia Rtx 5000 Ada Generation 32GB Gddr6 Ecc Professional Graphics Card GPU
Nvidia Quadro Rtx 8000 48GB Gddr6 Professional Workstation Graphics Card GPU
High-Performance Blackwell GPU Rtx PRO 6000 Graphics Card for Sever or Workstation
New in Stock H 200 Nvl 141GB GPU Graphics Card for Large Ai Training Server Multi-GPU Deep Learning
New Stock Original Ai Inference Training Compute Acceleration GPU Graphics Card a-100 80GB
Brand New Stock Rtx 5880ada 48GB Gddr6 GPU Graphics Card Modeling Rendering Professional Card Server Workstation Computer Host
New Unopened Spot Blackwell Workstation Edition High-Performance Deep Learning Ai GPU Graphics Card Rtx PRO6000 96g
Brand New Stock Rtx5090 32GB Custom GPU Turbo Graphics Card Artificial Intelligence Simulation Computing Graphics Card
New Sealed Nvidia GPU A100 80GB Ai Graphics Card for Professional Computing for Server
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.





























