Run AI workloads with 40–60 W efficiency and flexible hourly pricing with NVIDIA A2 GPU
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Architecture
GPU Memory
Memory Bandwidth
FP16 Tensor
INT8 Tensor
FP32 Performance
Interconnect PCIe
Form Factor
Run AI models efficiently with NVIDIA A2 acceleration.
Process and analyze video streams with GPU acceleration.
Power object detection, image analysis, and visual AI.
Handle text classification, sentiment analysis, and AI applications.
Support speech-to-text and voice-based AI workloads.
Deploy compact, power-efficient AI solutions at the edge.
Process sensor data for navigation, tracking, and autonomy.
Get NVIDIA A2 infrastructure tailored to your workload.
Talk to us to find out how we can help you achieve your IT objectives with the utmost security and peace of mind.
We stay ahead of curve, leveraging cutting-edge technologies and strategies to remain competitive. Explore our frequently asked questions below for quick guidance.
NVIDIA A2 is a compact, power-efficient GPU designed for AI inference, intelligent video analytics, virtual desktops, and edge workloads. Its 16GB GDDR6 memory makes it suitable for lightweight and medium-scale accelerated applications.
NVIDIA A2 features 16GB GDDR6 GPU memory, approximately 200GB/s memory bandwidth, and a low-power design optimized for efficient AI and data-center workloads.
NVIDIA A2 is well suited for AI inference, machine learning applications, video analytics, image processing, virtual desktops, and edge computing workloads that require efficient GPU acceleration.
NVIDIA A2 can support smaller and optimized LLM or generative AI inference workloads, particularly where moderate GPU memory requirements and power efficiency are more important than maximum performance.
NVIDIA A2 is designed for efficiency and cost-conscious deployments, while GPUs such as A30, L4, L40S, and H100 target progressively more demanding AI, inference, graphics, and HPC workloads.
Yes. Btrack India offers NVIDIA A2 GPU infrastructure for businesses and developers requiring cost-effective GPU acceleration for AI inference, analytics, video processing, and other workloads.
Yes. NVIDIA A2 is designed for data-center and edge deployments and can support continuous production workloads such as AI inference, video analytics, and virtual desktop applications when properly configured.
NVIDIA A2 GPU server pricing depends on the configuration, usage period, and deployment requirements. Contact BTrack India for current A2 GPU rental pricing and available configurations.