NVIDIA A2 GPU
The NVIDIA A2 GPU is a versatile accelerator designed for modern data centers and edge computing. Built on the NVIDIA Ampere architecture, it excels in AI inference, video transcoding, and general computing. With 16GB of high-speed GDDR6 memory, it efficiently handles demanding workloads. Its compact, low-profile, single-slot design is ideal for diverse server configurations where space and power efficiency are critical for scaling infrastructure.
$825.99
Owner Satisfaction
4.5
/ 5
Category Rank
50
/ 104
#50 in Server GPU
Price vs Category Average
-83%
Below average
Video Memory
166
/ GB GDDR
Who it's for
- High Power Efficiency
- Compact, Single-Slot Design
- Optimized Edge Inference
Who should skip it
- Limited Compute Power
- Small Memory Capacity
- Niche Focus
Key Specs
Video Memory
16GB GDDR6
Form Factor
Low-profile, single-slot PCIe
Dimensions
167.65mm (L) x 68.9mm (H)
Weight
Approximately 472g
Power Supply
PCIe slot power (40-60W TDP)
Security Features
Hardware Root of Trust, Secure Boot
GPU Chipset Manufacturer
NVIDIA
Warranty
3 years
Features
- Optimized for efficient AI inference
- High-speed 16GB GDDR6 memory
- Compact, low-profile single-slot design
- Integrated hardware security features
- Enables high-density server deployments
- Efficient power consumption via PCIe
- Supports secure boot processes
What customers say
Customers highly value the NVIDIA A2 GPU for its specialized role in edge AI inference and power-conscious data centers. Its remarkably low 60W power draw, compact single slot design, and quiet performance make it perfect for space constrained environments. Reviewers consistently praise its efficiency in accelerating various AI workloads, such as retail analytics and industrial automation, offering significant gains over CPU solutions without needing heavy infrastructure. Users are overwhelmingly satisfied when deploying the A2 for its intended inference purpose, noting its reliability and smooth integration. It is clearly recognized as an excellent, efficient accelerator for its specific niche, delivering exactly what it promises for edge deployments.
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