Gpu
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High-Performance Nvidia A40 48GB GPU for Visual New Ai Training Inference Server Graphics Card Host
Nvidia A100 40GB Hbm2 Pcie Data Center GPU Accelerator
Vidia L40 48GB Gddr6 Ecc Pcie 4.0 X16 Data Center GPU Accelerator
Nvidia L4 24GB Gddr6 Pcie Data Center GPU Accelerator
Nvidia H200 Nvl 141GB Tensor Core GPU High-Performance GPU
High-Performance Msi Dgx Spark Msi Edgexpert Ai Supercomputer GPU
Nvidia L40s 48GB Gddr6 Ecc Ada Lovelace Tensor Core GPU Accelerator Card for Ai Server Graphics Card
High-Performance Blackwell GPU Rtx PRO 6000 Graphics Card for Sever or Workstation
Brand New Stock Hua Wei Atlas 300I Duo Inference Card Provide Ultra-High Computing Power for Ai GPU Server
Tuf Gaming Geforce Rtx 4090 D 24GB Gddr6X Graphics Card GPU Tuf-Rtx4090d-24G-Gaming
Nvidia GPU A100 40g/80g/96g H100 80g/96g Pcie Ai/Data Analysis/High Performance Computing Accelerator Card
Nvidia H200 Nvl 141GB GPU High-Performance Computing Graphics Card Pn: 900-21010-0040-000
Nvidia A800 80GB GPU for Chatgpt Ai, Data Analysis, and High-Performance Computing Acceleration
Nvidia GPU A100 40g/80g/96g H100 80g/96g Pcie H200 H100 94G Nvlai/Data Analysis/High Performance Computing Accelerator Card
Nvidia H100 Tensor Core GPU Sxm5/Pcie — High Performance Ai Accelerator
Brand New Stock Rtx A4000 16GB GPU Graphics Card Modeling Rendering Professional Card Server Workstation Computer Host
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
New Spot Tesla A10 24GB GPU Artificial Intelligence Computational Inference Server Accelerated Graphics Card
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
Computational Processing Unit Computing Accelerated GPU Reasoning
Professional Level A100 80g GPU for Ai Inference Training 80GB
Nvi Dia A2000 12g Stable Ai GPU Card for Ai Inference
Nvi Dia A2 16g Stable Ai Computing GPU for Ai Inference
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.





























