NVIDIA A2 – 16GB
| Flavour Name | GPUs | vCPUs | RAM | Hourly | Monthly | 6 Monthly 5% Off | 12 Monthly 10% Off | |
|---|---|---|---|---|---|---|---|---|
| N.A2.32 | 1x | 8 | 32 | --- | ₹12,000 | ₹68,400 | ₹129,600 | |
| N.A2.64 | 2x | 16 | 64 | --- | ₹24,000 | ₹136,800 | ₹259,200 |
| Flavour Name | GPUs | vCPUs | RAM | Hourly | Monthly | 6 Monthly 5% Off | 12 Monthly 10% Off | |
|---|---|---|---|---|---|---|---|---|
| N.A2.32 | 1x | 8 | 32 | --- | ₹12,000 | ₹68,400 | ₹129,600 | |
| N.A2.64 | 2x | 16 | 64 | --- | ₹24,000 | ₹136,800 | ₹259,200 |
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Pricing CalculatorAceCloud’s NVIDIA A2 16GB cloud GPU pricing starts at ₹12,000/month for the Linux N.A2.32 plan in India. This plan includes 1x NVIDIA A2 GPU, 8 vCPUs, and 32 GB RAM.
The Linux A2 plans include NVIDIA A2 16GB GPU capacity along with vCPU and RAM resources. AceCloud currently lists two Noida INR plans: N.A2.32 with 1x GPU, 8 vCPUs, 32 GB RAM and N.A2.64 with 2x GPUs, 16 vCPUs, 64 GB RAM.
Choose the 2x A2 plan if your workload needs more GPU capacity, higher parallel processing, or more compute resources. AceCloud’s 2x A2 Linux plan is listed at ₹24,000/month with 16 vCPUs and 64 GB RAM.
NVIDIA A2 is best suited for entry-level AI inference, computer vision, video analytics, edge AI, virtual workstations, and GPU-accelerated applications. NVIDIA positions A2 as a low-power, small-form-factor Tensor Core GPU for inference and enterprise workloads.
NVIDIA A2 comes with 16GB GDDR6 GPU memory and 200 GB/s memory bandwidth. This makes it suitable for lightweight to mid-range inference, analytics, computer vision, and GPU-accelerated workloads.
Yes. NVIDIA A2 is based on the NVIDIA Ampere architecture and includes Tensor Cores for AI acceleration. It is designed as an entry-level data center GPU for efficient inference and enterprise deployment.
Choose the 1x A2 plan for development, testing, lightweight inference, video analytics, and smaller GPU workloads. Choose the 2x A2 plan if you need more GPU capacity, more vCPUs, and higher RAM for larger or parallel workloads.