Nvidia graphics gpu
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Nvidia Quadro A400 4G High Performance Workstation Graphic Card GPU
Quadro Rtx 2000 Ada 16g Nvidia Generation Graphics Card GPU
Nvidia Rtx A4500 20GB Graphics Cards GPU A4500
Nvidia Rtx A1000 8GB Workstation Graphics Card (RTXA1000) GPU
Nvidia Rtx PRO 4000 Blackwell 24GB GPU Blackwell Generation Professional Graphics Card
Nvidia L40 48GB Pcie Gen4 Passive GPU High-Performance Computing Graphics Card
Nvidia Rtx 4060 Ti Gaming GPU High-Performance Graphics Card
Nvidia Rtx 4070 Ti Gaming GPU High-Performance Graphics Card
New in Stock H 200 Nvl 141GB GPU Graphics Card for Large Ai Training Server Multi-GPU Deep Learning
100% Original Nvidia GPU Tesla H100 80GB Graphics Card for High-Performance Computing
New Sealed Nvidia GPU A100 80GB Ai Graphics Card for Professional Computing for Server
Brand New Nvidia L40/L40s 48GB Pcie Gen4 Passive GPU High-Performance Computing
Nvidia Rtx PRO 6000 Blackwell 96GB Gddr7 Ecc 600W Workstation Graphics Card GPU
Nvidia Blackwell Rtx PRO 6000 Workstation Edition Graphics Card GPU
High-Performance Rtx A6000 48GB GPU Server for Professionals
Nvidia Tesla V100s GPU Graphics Card for Workstation or Server
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 L40s 48GB Gddr6 Ecc Ada Lovelace Tensor Core GPU Accelerator Card for Ai Server Graphics Card
Nvidia Geforce Rtx 5090 Turbo 32GB Gddr7 Graphics Card GPU with Blower Cooling for Ai Workstation
Nvidia L40 48GB Gddr6 Ecc Pcie 4.0 X16 Data Center GPU Graphics Card
High-Performance Blackwell GPU Rtx PRO 6000 Graphics Card for Sever or Workstation
Nvidia Rtx A6000 48GB Rtx A5000 24GB A4000 16GB GPU Pcie 4 X16 Gddr6 Gaming Graphics Cards
Nv/Nvidia Tesla A16 64GB Pcie Ai Deep Learning Advanced Graphics Card Server Data Computational Processing Unit GPU
Nvidia H200 Nvl 141GB GPU High-Performance Computing Graphics Card Pn: 900-21010-0040-000
Nvidia Geforce Rtx 5090 32GB Gddr7 Graphics Card GPU
Nvidia Tesla A800 80GB Pcie GPU Deep Learning Computing Graphics Card
Sourcing guidance for Nvidia Graphics Gpu
What are the key technical specifications to evaluate when sourcing Nvidia GPUs for commercial use?
When sourcing GPUs, you must prioritize Architecture (e.g., Ada Lovelace, Ampere), CUDA Core count, and VRAM capacity (GDDR6/GDDR6X). For AI and deep learning, focus on Tensor Cores and FP16/FP32 performance. For rendering or workstation use, ensure the product supports Ray Tracing (RT Cores) and has sufficient memory bandwidth to handle large datasets without bottlenecks.
How can I distinguish between Consumer (GeForce) and Professional (RTX/Data Center) series for B2B procurement?
GeForce cards are optimized for gaming and light content creation with higher clock speeds but lower driver stability for enterprise software. Professional RTX (formerly Quadro) and Data Center GPUs (like A100, H100) offer ECC (Error Correction Code) memory, ISV certifications for software like AutoCAD or SolidWorks, and longer lifecycles with superior thermal management for 24/7 operation.
What compliance and certification standards are mandatory for international GPU trade?
All units must carry CE (Europe), FCC (USA), and RoHS (Restriction of Hazardous Substances) certifications. For specific markets, look for CCC (China) or VCCI (Japan). Ensure the supplier provides a Certificate of Conformity (CoC) to prevent customs seizures, especially regarding electromagnetic interference (EMI) standards.
How do I verify the authenticity and 'New' status of Nvidia GPUs from third-party suppliers?
Request Serial Number (S/N) lists before shipping to verify against manufacturer databases. Inspect the anti-static bag seals and check for mounting marks on the PCIe gold fingers, which indicate used or refurbished units. High-quality B2B suppliers on Made-in-China.com should provide factory inspection videos and GPU-Z validation screenshots for the specific batch.
Cross-Border Procurement Risks and Strategic Advice for GPUs
What are the current international trade policy risks for high-end Nvidia GPUs?
Be highly aware of Export Control Regulations (such as US Department of Commerce EAR). High-performance chips (e.g., H100, A800, RTX 4090) may face restricted shipping to certain regions. Always confirm with your customs broker if the specific HS Code (typically 8471.80) and GFLOPS performance of the GPU require a special export license.
How can I mitigate the risk of receiving 'Mining' cards or refurbished units?
Implement a strict contract clause specifying that only 'Brand New Original' units are accepted. Use Third-Party Inspection services (like SGS or Intertek) to perform a random sampling of the batch. Avoid deals that are significantly below market price, as these often involve 're-cased' cards where old chips are placed on new PCBs.
What is the best strategy for negotiating price and lead times in a volatile market?
GPU prices fluctuate based on crypto-trends and AI demand. Negotiate based on Volume Tiers and request Price Protection clauses for long-term contracts. For shipping, prioritize Air Freight with full insurance due to the high value-to-weight ratio and the fragile nature of electronic components. Ensure the supplier uses double-walled corrugated boxes and custom foam inserts.
How can I ensure transaction security when dealing with high-value GPU orders?
Always utilize Secured Payment services provided by reputable platforms like Made-in-China.com, which offer Escrow-based systems. Never wire full payments directly to private accounts. Use Letters of Credit (L/C) for large-scale enterprise orders to ensure payment is only released upon presentation of valid shipping documents and inspection reports.





























