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Nvidia gpu chip

I have found results from400+products and100+suppliers aboutNvidia gpu chip

Commonly Used:
US$
Customization Available
Sample Available
Manufacturer First
Product Attributes:
Material: Copper
Bipolar Integrated Circuit
Integration: GSI
Mounting Type: BGA
0℃ - 70℃
Shape: DIP
Technics: Semiconductor IC
Usage: Telephone
Support Network: GSM
Information content: Data
Certification: CE
Condition: New
Number of CPu Threads: 4
Server Form Factor: 4U
Storage Capacity: < 320GB
Supporting Memory Capacity: ≤8GB
System Architecture: Non-X86 Server
Form Factor: 4U
Management Interface: BMC
Network Connectivity: 1GbE
Operating System: Windows Server
Power Supply: Redundant PSU
Processor Type: AMD EPYC
RAM Capacity: 16GB
Hybrid Storage(Combination of HDDs and SSDs)
Full-Duplex & Half-Duplex
Transmission Rate: 10/100/1000Mbps
Interface: HDMI
Integrated Graphics Card
Video Memory Capacity: ≥2GB
PCI Express 3.0 16X
Output Type: HDMI
Chip: nVIDIA
Memory Bus: 384 Bit
Bus Standard: PCI-E 16X
Heat Dispatch Method: Fan HeatSink
3D API: DirectX 11.2
Application: Enterprise Level
Instruction System: CISC
Max. CPUs: 2
Video Memory Type: DDR5
Shape: Flat
Usage: Computer
Usage: Workstation
Usage: Server
Usage: Mobile phone
Usage: Laptop
Certification: ISO
Certification: RoHS
Server Form Factor: 1U
Storage Capacity: 500-1000GB
Storage Capacity: >1TB
Supporting Memory Capacity: >1TB
System Architecture: X86 Server
Form Factor: 1U
Management Interface: iDRAC
Network Connectivity: 100GbE
Operating System: Linux
Processor Type: Intel Xeon
RAM Capacity: 128GB
Memory Bus: 512 Bit
Application: Department Level
Max. CPUs: 1

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.

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