Used gpu
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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 GPU A100 40g/80g/96g H100 80g/96g Pcie H200 H100 94G Nvlai/Data Analysis/High Performance Computing Accelerator Card
Professional Level A100 80g GPU for Ai Inference Training 80GB
Nvi Dia V100 32g High Speed Server GPU Card for Large Model Inference
Nv Dia A100 40g Data Center Grade Server GPU Card in Stock
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 H20 Nvl GPU for or Large Ai Training Server Multi-GPU Deep Learning
Nvidia H200 Nvl 141GB Tensor Core GPU High-Performance GPU
Nvidia Quadro P6000 24GB Gddr5X Professional Workstation GPU Graphics Card
High-Performance Blackwell GPU Rtx PRO 6000 Graphics Card for Sever or Workstation
New Rtx A2000 A4000 A5000 A6000 Rtx16GB GPU Network Card Video Card GPU
Original New Nv A30 24GB Tensor Core GPU Accelerator 165W Ampere Pcie Passiv Gddr6 PCI Express 3.0 X16 A10 24GB
96GB/80GB Pcie/Sxm Hgx Tensor Ai Tesla Server Data Hpc GPU 900-21001-0020-100 Deepseek Ai GPU 80g Computing Graphics Card
Original New Nvidia Tesla T10 16GB GPU H100 80GB Tesla H100 A100 96GB Advanced GPU Pcie New Used Workstation/Desktop/Gaming Video Card 16GB Gddr6X Video
New Unopened Spot Blackwell Workstation Edition High-Performance Deep Learning Ai GPU Graphics Card Rtx PRO6000 96g
New Computing Artificial Intelligence Domestic GPU Graphics Card Tianshu Zhixin Tiangai 150 64G Corresponds to Tesla A100
New Dgx Spark Desktop Personal Ai Supercomputing System Blackwell Architecture Mini Computer in Stock GPU
China The New Spot Msi Dgx (based on the DGXTM Spark Platform) Msi Edgexpert Ai Supercomputer GPU
100% Original Nvidia GPU Tesla H100 80GB Graphics Card for High-Performance Computing
Sourcing guidance for Used Gpu
What are the key technical specifications to verify when sourcing used GPUs for commercial use?
When purchasing used GPUs, you must prioritize VRAM capacity (GB) and Memory Type (GDDR6/GDDR6X) to ensure compatibility with modern software. For AI or rendering tasks, verify the CUDA core count (NVIDIA) or Stream Processors (AMD). It is critical to request the BIOS version to ensure the card hasn't been flashed with a custom mining BIOS, which can affect stability in standard workstations.
How can a buyer assess the physical and functional health of a used GPU remotely?
Request a FurMark or 3DMark stress test video from the supplier, ensuring the Serial Number (S/N) on the card matches the one in the software interface. Check for thermal performance; temperatures should not exceed 85°C under load. Ask for high-resolution photos of the PCB (Printed Circuit Board) to look for signs of overheating, such as discoloration (yellowing) around the memory chips or oil leakage from thermal pads.
What compliance and safety standards apply to used electronic components in cross-border trade?
Ensure the products comply with RoHS (Restriction of Hazardous Substances) to facilitate smooth customs clearance in the EU and North America. Even for used goods, CE or FCC markings are often required. Additionally, verify that the supplier follows UN38.3 standards if the GPUs are shipped as part of a system containing lithium batteries, though standalone GPUs primarily require Anti-Static Packaging (ESD bags).
What are the typical usage scenarios for bulk-purchased used GPUs?
Used GPUs are highly sought after for Crypto Mining farms, AI Model Training, Video Rendering clusters, and Internet Cafe upgrades. For enterprise-level deployment, focus on Data Center GPUs (e.g., NVIDIA Tesla/A-series), whereas for retail or gaming builds, Consumer-grade cards (e.g., RTX 30-series) offer the best price-to-performance ratio.
Cross-Border Procurement Risks and Strategies for Used Electronics
What are the primary risks when importing used GPUs and how can they be mitigated?
The biggest risk is 'Mining Fatigue', where cards have been run 24/7 under high heat. Mitigate this by sourcing from Verified Suppliers on Made-in-China.com who offer a functional warranty (typically 30-90 days). Avoid 'as-is' listings without buyer protection. Use Escrow payment services to ensure funds are only released after the goods pass your initial quality inspection.
How should buyers negotiate with suppliers regarding bulk orders of used components?
Negotiate based on Batch Consistency. Request that all units come from the same original equipment manufacturer (OEM) like ASUS, MSI, or Gigabyte to simplify driver management. Aim for a 5-10% discount on orders exceeding 100 units, and always negotiate for replacement units (buffer stock) to be included in the shipment to cover potential Dead-on-Arrival (DOA) cases.
What are the logistics and customs precautions for shipping used GPUs to international markets?
Accurate HS Code classification (typically 8473.30) is essential to avoid fines. Be aware that some countries have strict e-waste regulations regarding the import of 'used' electronics; ensure the commercial invoice clearly states the items are 'Refurbished' or 'Working Used Components' rather than scrap. For shipping, insist on double-walled boxes with individual foam slots to prevent physical impact damage during transit.





























