Gpu
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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
High-Performance Nvidia Tesla A30 Tensor Core GPU Accelerator Gddr6 Graphics Card for Deep Learning
Nvidia H200 Nvl 141GB Tensor Core GPU High-Performance GPU
6GB 192 Bit Gddr6 Nvidia Rtx A4000 High-Performance Professional Graphics GPU Suitable for Server and Workstation
Original Nvidia A100 Pcie GPU Card, Deep Learning Accelerator for Data Center
Nvidia Geforce Rtx 5090 32GB Gddr7 Gaming Graphics Card Blackwell GPU
Nvidia A40 48GB Gddr6 Ecc Pcie Gen4 Data Center GPU
High-Performance Blackwell GPU Rtx PRO 6000 Graphics Card for Sever or Workstation
Nvidia L40s 48GB Gddr6 Ecc Passive Pcie 4.0 GPU with Vgpu & 4X Dp
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 A10 24GB Gddr6 GPU Passive Cooler Computing Accelerator Deep Learning
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
Nvida GPU H100 96GB Pcie OEM Pn: 900-21010-0000-000
Nvidia GPU A100 40g/80g/96g H100 80g/96g Pcie H200 H100 94G Nvlai/Data Analysis/High Performance Computing Accelerator Card
New Stock Original Ai Inference Training Compute Acceleration GPU Graphics Card a-100 80GB
Brand New Rtx 5880 Ada 48g Original Stock Ai Artificial Intelligence Special Ticket GPU Rtx-5880dad 48g for Networking Storage
Brand New Stock Rtxa5000 24GB GPU Graphics Card Modeling Rendering Professional Card Server Workstation Computer Host
New Unopened Spot Server Version High-Performance Deep Learning Ai GPU Graphics Card Rtx PRO6000 96g
New in Stock High Performance Graphics Accelerated Training Inference GPU Graphics H-100 80GB Pcie Original
Computational Processing Unit Computing Accelerated GPU Reasoning
Professional Level A100 80g GPU for Ai Inference Training 80GB
Nvi Dia Tesla A10 24G Powerful Ai Computing GPU for Deep Learning
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.





























