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

NVIDIA A2 TENSOR CORE GPU
The NVIDIA A2 Tensor Core GPU provides entry-level inference with low power, a small footprint, and high performance for NVIDIA AI at the edge. Featuring a low-profile PCIe Gen4 card and a low 40-60 watt (W) configurable thermal design power (TDP) capability, the A2 brings adaptable inference acceleration to any server. A2's versatility, compact size, and low power exceed the demands for edge deployments at scale, instantly upgrading existing entrylevel CPU servers to handle inference. Servers accelerated with A2 GPUs deliver higher inference performance versus CPUs and more efficient intelligent video analytics (IVA) deployments than previous GPU generations-all at an entry-level price point. NVIDIA-Certified Systems™ featuring A2 GPUs and NVIDIA AI, including the NVIDIA Triton™ Inference Server, deliver breakthrough inference performance across edge, data center, and cloud. They ensure that AI-enabled applications deploy with fewer servers and less power, resulting in eas

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)

Q:Are you trading company or manufacturer?A:We are factory.

Q:How long is your delivery time? A:Generally it is 2-5 days if the goods are in stock. or it is 10 days if the goods are not in
stock, it is according to quantity.

Q:Do you have MOQ?
A:For stock products,we don't have MOQ. For custom product,we ask for low MOQ.

Q:Can you offer a better price?Any discount?
A:Yes,surely. We're source factory and providing reasonable price.

Q:What is your warranty period?
A:Different products have different warranties.This warranty does not cover damage caused by man-made damage,improper care
,negligence,normal wear tear,and force majeure such as natural disasters,earthquakes,fires ,etc.