Gpu
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Nvidia H100 Nvl 94GB GPU Pn 900-21010-0020-000 Brand New for Ai and Hpc Workloads
Nvidia Tesla V100 Sxm2 32GB GPU Video Cards Original /OEM
Nvidia Tesla T4 16GB Gddr6 Pcie 3.0 X16 GPU Graphics Accelerator Card Cuda Turing Graphic Card GPU Original New in Stock
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 Tesla L4 24GB Pcie 75W GPU Pn: 900-2g193-000-000
Nvidia Tesla L4 24GB Pcie 75W GPU for Ai Inference, Machine Learning, and Video Processing Pn: 900-2g193-000-000
A100 96g A800 80g Pcie H100 94G Nvl H200 141g Nvl Nvidia GPU
Nvidia GPU A100 40g/80g/96g H100 80g/96g Pcie H200 H100 94G Nvlai/Data Analysis/High Performance Computing Accelerator Card
GPU Ars-111gl-Nhr-Lcc Nvidia H200 Grace Hopper Superchip
Brand New Stock T4 16g GPU Inference Training Ai Ai Server Workstation Dedicated Acceleration Graphics Card
The New Spot Suiyuan S60 48GB GPU Computing Graphics Card Replaces The L20 Graphics Card Ai Inference Acceleration Card
New in Stock 900-21001-0020-000 40GB Tesla Pcie GPU Hbm2 Slot Computer High Performance Graphics Card
New in Stock H 200 Nvl 141GB GPU Graphics Card for Large Ai Training Server Multi-GPU Deep Learning
Brand New Stock Rtx 5880ada 48GB Gddr6 GPU Graphics Card Modeling Rendering Professional Card Server Workstation Computer Host
New Unopened Spot Blackwell Workstation Edition High-Performance Deep Learning Ai GPU Graphics Card Rtx PRO6000 96g
The New Spot Msi Dgx (based on the DGXTM Spark Platform) Msi Edgexpert Ai Supercomputer GPU
New Spot Tesla L20 48GB GPU Deep Learning Computing Edge Computing Ai Server Graphics Card
Nvidia Rtx 6000 Ada Generation GPU — 48GB Gddr6 Ecc
Nvidia Quadro P620 2g Professional Workstation Graphic Card GPU
Nvidia Quadro Rtx 8000 High Performance Graphic Card GPU- 48 GB
Nvidia Rtx A4500 20GB Graphics Cards GPU A4500
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.





























