Nvidia Nvidia A2 16GB Single-Socket Deep Learning Ai Reasoning GPU

• Customization: Available
• Application: Entry Level
• Instruction System: Cuda Ptx
• Model NO.: NVIDIA NVIDIA A2
• Max. CPUs: Not Equipped by Itself
• Number of CPu Threads: Depending on The CPU on The Server
• Operating System Support: Linux
• Storage Capacity: < 320GB
• Supporting Memory Capacity: 16GB
• System Architecture: Ampere
• Form Factor: Rackmount
• Memory Capacity: 16GB
• Network Connectivity: 100GbE
• Operating System: Linux
• Power Supply: No Separate Power Supply
• Processor Type: Intel Xeon
• RAID Support: -
• Storage Type: Not Support
• Number of Transistors: 8.7 Billion
• Interface Type: Pcie 4.0 X8
• Power Consumption: Thermal Design Power Consumption: 40-60 Watts
• Typical Application: Edge Ai Reasoning, Server Acceleration, Real-Time
• Transport Package: Plastic Box Packaging
• Specification: 20*20*20
• Trademark: NVIDIA
• Origin: China

Product Description

Product Description

NVIDIA A2 Tensor Core GPU

The NVIDIA A2 Tensor Core GPU offers low-power, compact, high-performance entry-level inference for edge AI. With a low-profile PCIe Gen4 design and 40-60W configurable TDP, it brings flexible inference acceleration to any server. Its versatility, small size, and low power meet large-scale edge deployment needs, instantly upgrading legacy CPU servers for inference tasks.

A2-accelerated servers deliver superior inference performance over CPUs and more efficient intelligent video analytics (IVA) than prior GPU generations-at an entry-level cost. NVIDIA-Certified Systems with A2 and NVIDIA AI tools (e.g., Triton Inference Server) ensure breakthrough inference across edge, data centers, and cloud, reducing server count and power consumption for AI applications.

model	NVIDIA A2 GPU
area of application	Edge AI Inference, Server Acceleration, Real-time Video Analytics
area of application	NVIDIA Ampere Architecture, 8nm Process
CUDA core quantity	1280 CUDA Cores
Tensor core	Tensor Core Acceleration
Graphics card configuration	16GB GDDR6, 128-bit Bus
VRAM Bandwidth	200 GB/s Memory Bandwidth
VRAM Speed	12.5 Gbps Memory Speed
Core Clock	Base Clock 1440MHz, Boost Clock 1770MHz
Computational Performance (FP32)	4.5 TFLOPS FP32 Performance
INT8 Inference Performance	72 TOPS INT8 Inference
Interface Type	PCIe 4.0 x8 (Backward Compatible with PCIe 3.0)
Graphics Card Type	Half-Height, Single-Slot Passive Cooling
Cooler Type	Fanless Passive Cooling (System Airflow Dependent)
Power Consumption (TDP)	Configurable TDP 40-60W
Output Interface	No Display Output (Compute-Only Card)
Virtualization Support	NVIDIA vGPU Technology Support
Software Support	CUDA, TensorRT, PyTorch, TensorFlow
Product Status	Active Sales (Updated March 2025)
Chip Manufacturer	NVIDIA (GA107 Core)

1. Why choose us?
Our team has over 10 years of experience in AI server accessories and high-speed network solutions (FC SAN/InfiniBand/Ethernet), with deep industry expertise to deliver optimized solutions for various scenarios. 
We maintain a stable supply chain with long-term partnerships with top manufacturers, ensuring sufficient stock and reliable lead times. We provide one-stop services including product selection, solution design and 24/7 after-sales support. 
Benefiting from bulk purchasing, we offer highly cost-effective 100% original products at competitive prices.
 
2. Is the product brand new?
All products are 100% original and new. Official warranty is provided for authorized brands, and self-developed products pass strict quality inspection. Official verification is supported.
 
3. How long after payment will the goods be dispatched?
In-stock orders: Ship within 1–3 working days after payment confirmation; urgent orders are prioritized.
Out-of-stock/custom orders: Lead time depends on inventory or production, confirmed by customer service. 
Delivery may be delayed during holidays. Please check with us before ordering.
 
4. Is customization acceptable? What is the MOQ?
Customization available for self-developed network cards, optical modules and high-speed cables.
MOQ: 50 pieces for basic customization; ≥200 pieces for complex specifications.
Authorized products only support original standard models, no customization. 
Contact customer service for details.
 
5. Which payment methods and currencies are accepted?
We accept bank transfers (online or counter) to our corporate account. 
Order number must be noted for payment verification. 
Both RMB and USD are supported.