Nvidia gpu chip
I have found results from500+products and100+suppliers aboutNvidia gpu chip
Nvidia A100 40GB Hbm2 Computing Card High-Performance Data Center GPU
Nvidia A100 80GB Tensor Core GPU Ampere Architecture Data Center Accelerator for Ai & Hpc
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
Nvidia H100 Tensor Core GPU Sxm5/Pcie — High Performance Ai Accelerator
New Original GPU for Nvidia Hopper H100 Nvl 80GB Graphic Card
New Original GPU for Nvidia AMP A100 Nvl 80GB Graphic Card
New Original GPU for Nvidia Hopper H100 Nvl 96GB Graphic Card
Nvidia Graphic Chip of Nvidia A100 80GB900-21001-0020-100 H100- 80GB Pcie
Nvidia Hopper Gh100 GPU Unveiled: Gh100-885K-A1 4nm Data Center Chip, up to 4000 Tflops Compute, Hbm3 3 Tb/S Memory
Supermicro GPU Superserver Sys-422ga-Nbrt-Lcc Dp Intel 4u Liquid-Cooled System with Nvidia Hgx B200 8-GPU Server
Kexint GPU Superserver Sys-422ga-Nbrt-Lcc Dp Intel 4u Liquid-Cooled System with Nvidia Hgx B200 8-GPU
Nvidia H100 94GB Pcie Data Center GPU Accelerator
Nvidia H200 Nvl 141GB Hbm3e Data Center GPU Accelerator
GPU a+ Server as -A126GS-Tnbr Dp AMD 10u System with Nvidia Hgx B200 8-GPU
Dual-Node Nvidia Gh200 Grace Hopper GPU for 1u Servers
GPU Ars-121L-Dnr New Nvidia Bluefield-3 or Nvidia Connectx-7
IoT Superserver Sys-212GB-Nr up Intel 2u Pcie GPU System 4 Nvidia Rtx PRO™ 6000 Nvidia H200
GPU Ars-111gl-Nhr-Lcc Nvidia H200 Grace Hopper Superchip
GPU Superserver Sys-221ge-Tnht-Lcc Dp Intel 2u Liquid-Cooled System with Nvidia Hgx™ H100 4-GPU or H200 4-GPU
100% Original Nvidia GPU Tesla H100 80GB Graphics Card for High-Performance Computing
Nvidia Tesla A10 A30 A40 A16 L40 L40s T4 Rtx A5000 A6000 V100 V100s Rtx4090 GPU Card for Workstation or Server
Nvidia Tesla Nvl 141GB GPU H800 80GB Professional Computing Chatgpt Ai Graphic Card Graphics Card for Workstation or Server
Nvidia Hgx H100 80GB 8-GPU 640g Baseboard Server GPU a+ Server as -8125GS-Tnhr Nvidia Hgx H100/H200 80GPU/94 for Deepseek
Nvidia Original New Video IC Chip in Stock G86-213-A2
Sourcing guidance for Nvidia Gpu Chip
What are the key technical specifications to verify when sourcing Nvidia GPU chips for AI or data center applications?
When sourcing high-end GPUs like the H100, A100, or Blackwell series, you must prioritize Architecture (e.g., Hopper, Ampere), CUDA Core count, and Tensor Core generations. For data center use, verify the HBM (High Bandwidth Memory) capacity and bandwidth (e.g., HBM3 or HBM3e), as these directly impact LLM training speeds. Additionally, confirm the TDP (Thermal Design Power) to ensure your cooling infrastructure can handle the heat dissipation requirements, and check for NVLink support to facilitate multi-GPU scaling.
How can buyers ensure the authenticity and quality of Nvidia GPU chips in the secondary or distribution market?
To avoid counterfeit or refurbished units, buyers should request the Original Manufacturer Certificate (COC) and verify the Date Code (D/C) to ensure the chips are from a recent production batch. It is critical to conduct Visual Inspection (marking, alignment, and packaging) and, if possible, X-ray testing to check for internal bonding integrity. Always prioritize suppliers on Made-in-China.com who offer third-party lab testing reports (such as White Horse or CECC testing) to validate electrical parameters against the official datasheet.
What compliance standards and certifications are mandatory for importing GPU chips?
GPU chips must comply with international environmental and safety standards. Ensure the products are RoHS (Restriction of Hazardous Substances) compliant and REACH certified. For finished graphics cards or server modules, CE (Europe), FCC (USA), and VCCI (Japan) certifications are necessary. Furthermore, because high-performance GPUs are often subject to Export Control Classifications (ECCN), buyers must ensure the specific model is cleared for export to their region to avoid legal complications.
Cross-Border Procurement Risks and Strategic Advice for Nvidia GPUs
What are the primary risks associated with international trade of high-performance GPU chips?
The most significant risks include Export Control Restrictions and Price Volatility. High-end AI chips are frequently subject to changing trade policies (such as U.S. Department of Commerce regulations), which can lead to shipment seizures or order cancellations. Additionally, the market price for GPUs fluctuates daily based on supply chain shortages; therefore, it is advised to lock in prices with a formal Proforma Invoice (PI) and use Escrow payment services provided by platforms like Made-in-China.com to protect your funds until delivery is confirmed.
How should buyers negotiate with suppliers to ensure long-term supply stability?
Negotiations should focus on Lead Time Guarantees and Buffer Stock Agreements. Instead of just haggling on unit price, ask the supplier for a rolling forecast agreement where they reserve a specific capacity for you. For bulk orders, negotiate a staggered payment schedule (e.g., 30% deposit, 70% after third-party inspection) to maintain leverage. Always clarify the Warranty and RMA (Return Merchandise Authorization) process, ensuring the supplier covers shipping costs for defective units found during the initial QC phase.
What are the best practices for shipping and logistics for sensitive electronic components like GPU chips?
GPU chips are highly sensitive to Static Electricity (ESD) and Physical Impact. Ensure the supplier uses Anti-Static Bags (ESD shielding) and Vacuum Packaging with humidity indicator cards. For international shipping, use Insured Air Freight rather than sea freight to minimize exposure to moisture and prolonged vibration. Request double-boxing with shock-absorbent foam and ensure the outer carton is marked with 'Fragile' and 'Sensitive Electronics' labels to prevent mishandling during customs inspections.





























