Gpu card
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High-Performance Nvidia Rtx 5090 Ai GPU Graphics Card for Advanced Computing Solutions
High-Performance Nvidia Rtx 5090 Ai GPU Graphics Card for Advanced Computing Solutions
New High-Performance Training Inference GPU Graphics Card H 800 Nvl Pcie
Nvidia Blackwell Rtx PRO 4000 24GB Blackwell Generation GPU Graphics Card
Nvidia Quadro Rtx 8000 48GB Gddr6 Professional Workstation GPU Graphics Card
Manufacturer Cheap Nvi Dia Gt730 4GB DDR3 Graphic Card GPU with 128bit
Nvidia GPU A100 40GB/80GB/96GB H100 80GB/96GB Pcie Ai/Data Analysis/High Performance Computing Accelerator Card
Poweredge Xe9680 with H200 GPU Graphice Cards for DELL
New GPU Nv Rtx6000 Ada 48GB Gddr6 384bit 300W Graphics Card for Desktop Computer Workstation Server
Rtx A2000 12GB/6GB Desktop GPU Graphics Card Leadtek Quadro Card
for Nvidia Rtx 6000 Ada High-Performance Graphics Card with Gtx GPU Model
Rtx 4090 GPU Desktop Workstation Graphics Card 8GB-48GB Gddr6 Video Memory New
Nv Tesla T4 GPU 16GB Accelerator Card Graphic Card Enterprise Gpus
Nvtesla Tensor Core Fp32 GPU Pcle A40 48GB Ecc Video Graphic Card for Hgx 696 GB/S
Rtx4090 Turbo Al Deep Learning Professional GPU Server Workstation Graphics Card
New A40 48GB GPU for Visual New Gaming Video Express Inference GPU Card A10
Used Card CMP 170hx 90hx 70hx 50hx 40hx 30hx 8GB DDR5 GPU Video Card for Computer Games
GPU A100 40g/80g/96g H100 80g/96g Pcie Ai/Data Analysis/High Performance Computing Accelerator Card A800
L40s L40 L4 48GB Deep Learning GPU Operation Acceleration Ai Card Server Data Computational Processing Unit GPU
Stock New A2000 A4000 A5000 A6000 6GB Memory 6g 12g Card GPU Video Card
Original Rtx 4090 Rtx 3090 Rtx3080 Tx 3090ti 24G GPU Laptop/Desktop PCI Express Gaming Card Rtx 4060 Ti
Nvidia Tesla T4 A10 A30 A40 A100 A800 V100 H100 H800 80GB 40GB Rtx4090 Graphic Card GPU Original New in Stock
Sourcing guidance for Gpu Card
What are the key technical specifications to evaluate when sourcing GPU cards for commercial or industrial use?
When sourcing GPUs, you must prioritize the Architecture (e.g., Ada Lovelace, Ampere) and VRAM capacity (GDDR6/GDDR6X). For AI and deep learning, Tensor Cores and FP32 performance are critical. For workstation use, ensure the cards support ECC (Error Correction Code) memory to prevent data corruption during long rendering tasks. Always verify the TDP (Thermal Design Power) to ensure your existing power supply units (PSUs) and cooling infrastructure can handle the heat load.
How can a buyer verify the authenticity and condition of GPU cards in a B2B transaction?
To avoid counterfeit or 're-badged' units, request GPU-Z screenshots and VBIOS version numbers from the supplier. For bulk orders, insist on serial number tracking and verify these numbers against the manufacturer's official database (e.g., NVIDIA, AMD, or ASUS). If purchasing 'Refurbished' or 'Used' cards (common in mining or server decommissioning), demand stress test reports (3DMark or FurMark) showing stable temperatures and clock speeds under 100% load for at least 24 hours.
What compliance standards and certifications are mandatory for importing GPU cards?
GPU cards are electronic components that must meet strict international standards. Ensure the products carry CE (Europe), FCC (USA), and RoHS (Restriction of Hazardous Substances) certifications. For specific markets, UL (Underwriters Laboratories) or CCC (China Compulsory Certificate) may be required. Lack of proper electromagnetic compatibility (EMC) documentation can lead to customs seizures or legal liabilities if the hardware causes interference.
What are the usage scenarios and how do they dictate the choice of GPU?
The choice depends on the application: Gaming/Retail requires high clock speeds and RGB aesthetics; Data Centers require passive cooling and high-density form factors; Crypto Mining (if applicable in your region) prioritizes hash rate per watt; and AI/Rendering requires maximum VRAM. For B2B buyers, selecting OEM versions can reduce costs, but Retail Box versions are better for resale due to included warranties and accessories.
Cross-Border Procurement Risks and Strategic Advice for GPUs
What are the primary risks in cross-border GPU procurement and how can they be mitigated?
The biggest risks are price volatility and inventory fraud. GPU prices fluctuate daily based on crypto markets and silicon availability. Use Fixed-Price Contracts with a short validity window. To prevent 'empty box' scams, use secure payment terms like those offered on Made-in-China.com, which hold funds in escrow until shipping is confirmed. Always hire a third-party inspection service (like SGS or Intertek) to perform a pre-shipment inspection (PSI) to verify quantity and specs.
How should buyers handle international trade policies and export controls for high-end GPUs?
Be aware of Export Administration Regulations (EAR), especially for high-performance chips (e.g., NVIDIA A100/H100 or RTX 4090 in certain regions). Check if the specific model requires an Export License. Work with a freight forwarder experienced in dual-use goods to ensure the HS Code (typically 8471.80) is declared correctly to avoid heavy fines or blacklisting by customs authorities.
What is the best shipping strategy for sensitive electronic components like GPUs?
GPUs are high-value, fragile, and sensitive to static. Specify Anti-Static Packaging (ESD bags) and double-walled corrugated boxes with foam inserts. For shipping to distant countries, Air Freight is highly recommended over Sea Freight to minimize the risk of moisture damage (corrosion) and to reduce the time capital is tied up in transit. Ensure the shipment is covered by All-Risk Marine Insurance calculated at 110% of the CIF value.
What negotiation strategies work best with GPU wholesalers?
Focus on Warranty Terms and RMA (Return Merchandise Authorization) procedures. Since shipping a single defective card back to China is costly, negotiate a 'Defective Allowance' (e.g., 1-2% discount in lieu of returns) or require the supplier to provide local repair center support. For large volumes, ask for tiered pricing and inquire about 'Tray' (bulk) vs. 'Box' (retail) packaging to save on shipping volume.





























