Gpu
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Nvidia Quadro A400 4G High Performance Workstation Graphic Card GPU
Nvidia Quadro Rtx 8000 High Performance Graphic Card GPU- 48 GB
Brand New Stock Hua Wei Atlas 300I Duo Inference Card Provide Ultra-High Computing Power for Ai GPU Server
Nvidia T4 P4 P40 P100 M10 M60 Gp100 Gv100 V100 L4 L40 L40sworkstation Graphics Card GPU
Nvidia GPU A100 40g/80g/96g H100 80g/96g Pcie Ai/Data Analysis/High Performance Computing Accelerator Card
Nvidia Tesla A10 A30 A40 A16 L40 L40s T4 Rtx A5000 A6000 V100 V100s Rtx4090 GPU Graphics Card for Workstation or Server
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 L4 24GB Pcie 75W GPU Pn: 900-2g193-000-000
Nvidia GPU A100 40g/80g/96g H100 80g/96g Pcie H200 H100 94G Nvlai/Data Analysis/High Performance Computing Accelerator Card
The New Spot Desktop Large Model All-in-One Grace Blackwell Ai Supercomputer Dgx Spark GPU
New Spot Tesla A10 24GB GPU Artificial Intelligence Computational Inference Server Accelerated Graphics Card
High-Performance Rtx A5500 24GB GPU for Professional Rendering
New Unopened Spot Server Version High-Performance Deep Learning Ai GPU Graphics Card Rtx PRO6000 96g
New Spot Tesla L20 48GB GPU Deep Learning Computing Edge Computing Ai Server Graphics Card L20 Tensor Core GPU
New Stock Original Ai Inference Training Compute Acceleration GPU Graphics Card a-100 40GB
New in Stock High Performance Graphics Accelerated Training Inference GPU Graphics H-100 80GB Pcie OEM Custom Edition
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
New H100 Nvl 94GB Pcie High Performance GPU Graphics Accelerator Card for Server Ai Training Large Model Inference Hpc
Nvidia Rtx PRO 6000 Blackwell Max-Q Workstation Edition 96GB GPU Graphics Card
Nvidia H800 Nvl 94GB Hbm3 Ai Accelerator GPU Graphics Card
Nvidia Rtx 4000 Ada 20GB Professional Graphics Card GPU
High-Performance Blackwell GPU Rtx PRO 6000 Graphics Card for Sever or Workstation
Nvidia H100 80g/94G/96g Pcie GPU Accelerator Card Graphic Card for Server Ai/Data Analysis/Hpc
Sourcing guidance for Gpu
How to evaluate the technical specifications of a GPU for B2B procurement?
When sourcing GPUs, focus on Architecture (e.g., Ada Lovelace, Ampere), CUDA Cores/Stream Processors, and VRAM capacity (GDDR6/GDDR6X). For AI and Deep Learning, prioritize Tensor Cores and high memory bandwidth. For workstation use, ensure support for ECC (Error Correction Code) memory to prevent data corruption during long rendering tasks.
What compliance standards and certifications are required for international GPU trade?
GPUs must meet regional electronic safety and environmental standards. Ensure the products carry CE (Europe), FCC (USA), and RoHS (Restriction of Hazardous Substances) certifications. For high-performance computing (HPC) chips, verify compliance with export control regulations (such as EAR) to avoid legal complications during customs clearance.
How to distinguish between Gaming, Workstation, and Server-grade GPUs?
Identify the end-use case: Gaming GPUs focus on clock speed and HDMI/DisplayPort outputs; Workstation GPUs (e.g., NVIDIA RTX A-series) are optimized for CAD/CAM software stability and driver certification; Server GPUs (e.g., H100, A100) often feature passive cooling and are designed for 24/7 operation in data centers with high-speed interconnects like NVLink.
What are the key factors in ensuring GPU thermal management and longevity?
Evaluate the cooling solution: Triple-fan designs or Blower-style fans (ideal for multi-GPU stacks). Check the quality of thermal pads and capacitors; high-quality Japanese capacitors extend the lifespan under heavy loads. For bulk purchases, request MTBF (Mean Time Between Failures) data from the manufacturer.
Cross-Border GPU Purchasing Risks and Strategies
How to mitigate the risk of receiving refurbished or 'mining' cards?
The GPU market often sees used mining cards sold as new. To avoid this, request serial number tracking, inspect the PCIe gold fingers for wear marks, and check for oxidation on the heatsink fins. Always use third-party inspection services to verify the 'New/Original' status before final payment.
What are the best practices for negotiating with GPU suppliers on Made-in-China.com?
Focus on Price Protection Clauses due to the high volatility of chip prices. Negotiate based on Tiered Pricing (MOQ) and ask for Warranty Support in the destination country. Established suppliers on Made-in-China.com often provide better terms if you commit to a long-term procurement forecast rather than a one-off spot buy.
How to ensure transaction security and payment safety?
Utilize Secured Payment services provided by the platform to ensure funds are only released upon proof of shipment. Avoid direct wire transfers to private accounts. For large-scale orders, consider Letter of Credit (L/C) or Escrow services to protect against non-delivery or sub-standard quality.
What shipping precautions should be taken for high-value electronic components?
GPUs are sensitive to Static Electricity (ESD) and physical impact. Insist on Anti-static bagging, double-walled corrugated boxes, and foam inserts. Given the high value-to-weight ratio, Air Freight with full insurance coverage is the recommended shipping method to minimize transit time and theft risk.





























