Video card gpu
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Nvidia H200 Nvl 141GB Hbm3e GPU Pcie Data Center Ai Accelerator Graphics Cards
Nvidia H200 Tensor Core GPU 8-GPU 8u Rackmount Server Fan-Cooled Pcie 128 Cores
Rtx A6000 48GB Workstation GPU Quadro Video Card Graphics Card
Nvidia Tesla V100 Sxm2 32GB GPU Video Cards Original /OEM
Nvidia Tesla L4 24GB Pcie 75W GPU for Ai Inference, Machine Learning, and Video Processing Pn: 900-2g193-000-000
Thinksystem Nvidia L4 24GB Pcie Gen4 Passive GPU - Ai/Video/Graphic Accelerator
Nvidia L4 24GB Pcie Gen4 Professional GPU Ai Accelerator Data Center Low-Profile
Rtx A4000 16GB GPU Professional Graphic Card GPU for Server and Workstation
Nvidia Quadro P620 2g Professional Workstation Graphic Card GPU
Nvidia Quadro A400 4G High Performance Workstation Graphic Card GPU
Nvidia Quadro Rtx 8000 Professional Graphics Card GPU— 48GB Gddr6
Nvidia Quadro Rtx 8000 High Performance Graphic Card GPU- 48 GB
Nvidia Quadro P1000 4G Professional Workstation Graphic Card GPU
Nvidia P100 Tesla Sxm 16g High End Graphic Card GPU
New Rtx PRO 6000 Server GPU 96GB Gddr7 512 Bit Blackwell Architecture Water Cooler Pcie 5.0 2.6GHz Core Clock for Data
Rtx PRO 5000 Blackwell Server GPU for Workstation
for Rtx PRO6000 Blackwell Architecture New GPU PCI Express 512 Bit Fan Workstation Server Edition Max-Q
New Original GPU for Nvidia Hopper H100 Nvl 94GB Graphic Card
New Spot Tesla L40 48GB GPU Deep Learning Computing Edge Computing Ai Server Graphics Card
New Original High-Performance Ai Training Inference GPU Graphics Card Super Large Video Memory H-200nvl 141GB Pcie
New Spot Tesla L40s 48GB GPU Deep Learning Computing Edge Computing Ai Server Graphics Card
Brand New Spot A40 48g GPU Artificial Intelligence Large Model Training Inference Server Graphics Card Host
New Spot Tesla A10 24GB GPU Artificial Intelligence Computational Inference Server Accelerated Graphics Card
New Rtx A2000 A4000 A5000 A6000 Rtx16GB GPU Network Card Video Card GPU
New in Stock Nvidia Tesla T4 A10 A30 A40 A100 A800 V100 H100 H800 80GB 40GB Rtx4090 Graphic Card GPU Original
96GB/80GB Pcie/Sxm Hgx Tensor Ai Tesla Server Data Hpc GPU 900-21001-0020-100 Deepseek Ai GPU 80g Computing Graphics Card
Sourcing guidance for Video Card Gpu
How to choose the right GPU based on performance and application scenarios?
Selecting a GPU requires matching the chipset architecture (e.g., NVIDIA RTX or AMD Radeon) to the intended use. For AI training and Deep Learning, prioritize cards with high Tensor Core counts and at least 24GB of VRAM. For professional rendering and CAD, look for Workstation-grade GPUs (like the NVIDIA RTX A-series) which offer ECC memory and certified drivers. For gaming or general retail, focus on clock speeds and cooling efficiency (triple-fan vs. blower style).
What are the key technical specifications to verify with a supplier?
Ensure the supplier provides detailed specs on Memory Type (GDDR6/GDDR6X), Bus Width (bits), and TDP (Thermal Design Power). It is critical to confirm the Interface version (PCIe 4.0/5.0) to ensure compatibility with the buyer's motherboards. For bulk orders, verify if the GPUs are LHR (Lite Hash Rate) or non-LHR versions, as this significantly impacts resale value in specific markets.
What compliance and quality standards are mandatory for international GPU trade?
GPUs must carry CE (Europe), FCC (USA), and RoHS (Hazardous Substances) certifications. Since GPUs contain complex circuitry, ensure they meet UL or ETL safety standards for power handling. Always request factory burn-in test reports (typically 24-48 hours) to ensure the silicon stability and prevent DOA (Dead on Arrival) issues in cross-border shipments.
How can buyers ensure the authenticity and 'New' status of the GPUs?
The GPU market often sees 'refurbished' chips sold as new. Demand Serial Number (S/N) transparency and verify them against the manufacturer's database. Check for original factory seals on anti-static bags and the presence of warranty stickers over heat-sink screws. On Made-in-China.com, prioritize Audited Suppliers who provide video proof of unboxing and live stress tests (using software like FurMark).
Cross-Border GPU Procurement Risks and Strategies
How to mitigate the risk of receiving counterfeit or used mining cards?
Use Escrow payment services provided by Made-in-China.com to ensure funds are only released after inspection. Hire a third-party inspection agency (like SGS or Intertek) to perform a random sample check at the warehouse before the final balance is paid. Specifically, check for discoloration on the PCB or oil leakage from thermal pads, which are signs of heavy mining use.
What are the best practices for shipping fragile electronic components like GPUs?
GPUs are sensitive to Static Electricity and Physical Impact. Insist on Anti-static shielding bags, individual retail boxes with high-density foam inserts, and a double-walled master carton. For sea freight, ensure the use of desiccant packs to prevent moisture corrosion. For high-value air freight, use palletized shipping to minimize manual handling shocks.
How to handle international warranty and after-sales support for GPUs?
Negotiate a RMA (Return Merchandise Authorization) policy upfront. Since shipping individual defective cards back to China is costly, try to negotiate a 1% - 2% spare parts allowance (extra units) or a credit note for future orders to cover the failure rate. Ensure the supplier provides at least a 1-year factory warranty and clear documentation in English.
What should buyers know about customs duties and export regulations for high-tech hardware?
GPUs may be subject to Export Control Classifications (ECCN) depending on their computing power (e.g., high-end AI chips like the H100/A100). Verify the HS Code (typically 8471.80) and check for any anti-dumping duties or specific trade tariffs between China and your country. Always ensure the Commercial Invoice accurately reflects the transaction value to avoid customs seizures.





























