Graphic card
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Nvidia Tesla T4 A10 A30 A40 A100 A800 V100 H100 H800 80GB 40GB Rtx4090 Graphic Card GPU Original New in Stock
Nvidia Tesla A100 A800 V100 H100 H800 80GB 40GB Rtx4090 Graphic Card GPU Original New in Stock
Quadro Rtx 4000 Graphic Card on Stock 8GB for Desktop Workstation
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
Ultimate 40GB Tesla Pcie Graphics Card for Gamers
Brand New Tesla T4 48GB Graphic Card for Advanced Ai and Machine Learning
Nvi Dia T1000 8g Intelligent Professional Graphics Card for Graphic Design
Nvi Dia Tesla V100 16g Advanced Data Center Graphics Card for Data Center Computing
Nvi Dia Quadro K6000 12g Responsive Professional Graphics Card for Architectural Rendering
Nvi Dia Rtx 4000 20g Intelligent Professional Graphics Card for Graphic Design
Nvi Dia Rtx 6000 PRO 48g Intelligent PRO Graphics Card for Graphic Design
Nvidia Rtx A6000 48GB Gddr6 Ecc Ampere Workstation Graphics Card
Nvidia Rtx A4000 19.2 Tflops 448GB/S Professional Graphics Card
Nvidia Geforce Rtx 5090 32GB Gddr7 Gaming Graphics Card
New High-Performance Training Inference GPU Graphics Card H 800 Nvl Pcie
Gigabyte Aorus Rtx 5090 32g Gddr7 Graphics Card Pcie 5.0 Windforce Hyperburst
Gigabyte Aorus Rtx 5090 Infinity 32GB 512-Bit Pcie 5.0 Graphics Card
Elsa AMD Rx520 Rx530 Rx550 Rx560 Rx570 Rx580 VGA Card, Video Card, 8g Graphics Card
Nvidia Rtx A2000 A4000 A5000 A6000 6GB 198bit Gdr6 Graphic Card Ready to Delivered in Wholesale Price
Nvidia A2000 6g 12g Gddr6 Ecc Professional Visualization Graphics Card
Nvidia Tesla A100 80GB Professional Computing Chatgpt Ai Graphic Card Graphics Card for Workstation or Server
Nvidia A100 40GB 80GB Professional Tesla Computing Video Graphic Card
Nvidia Tesla H800 80GB Professional Computing Chatgpt Ai Graphic Card Graphics Card for Workstation or Server
Manufacturer Cheap Nvi Dia Gt730 4GB DDR3 Graphic Card GPU with 128bit
Sourcing guidance for Graphic Card
What are the key technical specifications to evaluate when sourcing graphic cards for B2B purposes?
Buyers must prioritize the GPU Architecture (e.g., NVIDIA Ampere/Ada Lovelace or AMD RDNA 3) as it determines performance efficiency. Key metrics include VRAM Capacity and Type (GDDR6/GDDR6X), where 8GB is the minimum for modern tasks, while 16GB or higher is required for AI rendering and 4K gaming. Additionally, verify the TDP (Thermal Design Power) to ensure compatibility with existing power supply units (PSUs) and the Interface Type (typically PCIe 4.0 x16).
How can I ensure the authenticity and quality of the graphic cards?
To avoid 're-marked' or used mining cards being sold as new, request GPU-Z validation reports and original factory serial numbers. Ensure the supplier provides CE, FCC, and RoHS certifications for international compliance. For bulk orders, it is critical to verify the cooling system design (dual or triple fan configurations) and the quality of capacitors and VRMs to ensure long-term stability under heavy workloads.
What are the common usage scenarios for different tiers of graphic cards?
Graphic cards are categorized by application: Entry-level cards are suitable for multi-monitor office setups and basic video playback; Mid-range cards are the 'sweet spot' for 1080p/1440p gaming and standard video editing; High-end/Flagship cards are essential for AI model training, 3D professional rendering (CAD/BIM), and 4K ultra-high-definition gaming. For server environments, look for blower-style fans which are optimized for rack-mount airflow.
What is the economic feasibility of bulk GPU procurement in the current market?
The GPU market is highly volatile due to semiconductor supply and crypto-mining trends. To optimize costs, aim for Tier 2 or Tier 3 brands (e.g., Colorful, Maxsun, or Peladn) which often offer 20-30% lower prices than Tier 1 brands like ASUS or MSI while using the same NVIDIA/AMD chips. Always negotiate tiered pricing where the unit cost drops significantly for orders exceeding 50-100 units.
Cross-Border Purchasing Considerations for Graphic Cards
What are the primary risks when importing graphic cards internationally?
The biggest risks include counterfeit chips and shipping damage. High-value electronics are sensitive to static and physical impact; ensure the supplier uses anti-static bags and reinforced pearl cotton packaging. Furthermore, verify the warranty terms, as 'factory warranty' may be difficult to claim across borders unless the supplier has a local return center or offers a 1-3% spare parts allowance.
How should I handle transaction security and supplier negotiation?
Always use Secured Payment services on Made-in-China.com to ensure funds are only released after delivery confirmation. When negotiating, demand a Proforma Invoice (PI) that clearly states the chipset model, memory brand (Samsung/Micron/Hynix), and warranty period. Avoid suppliers who refuse to provide real-time video inspections of the production line or warehouse stock.
What are the logistics and customs precautions for shipping GPUs?
Graphic cards contain sensitive electronic components and sometimes small batteries (for CMOS/RGB settings). Ensure the HS Code (typically 8471.80) is correctly declared to avoid customs delays. For high-value shipments, purchasing cargo insurance is mandatory (usually 0.3% of invoice value). If shipping to the US or EU, confirm the supplier is familiar with Section 301 tariffs or VAT/EORI requirements to prevent unexpected costs at the border.





























