| Flavour Name | GPUs | vCPUs | RAM | Hourly | Monthly | 6 Monthly 5% Off | 12 Monthly 10% Off | |
|---|---|---|---|---|---|---|---|---|
| N.A30.32 | 1x | 8 | 32 | --- | ₹40,693 | ₹231,949 | ₹439,482 | |
| N.A30.48 | 1x | 12 | 48 | --- | ₹43,155 | ₹245,985 | ₹466,076 | |
| N.A30.64 | 2x | 16 | 64 | --- | ₹81,338 | ₹463,624 | ₹878,446 | |
| N.A30.96 | 2x | 24 | 96 | --- | ₹86,262 | ₹491,696 | ₹931,634 |
Build an hourly and monthly estimate for your exact setup across compute, GPU, storage, and networking. Configure your resources and get a real-time total with a simple cost breakdown.
Pricing CalculatorAceCloud’s NVIDIA A30 24GB cloud GPU pricing starts at ₹40,693/month for the Linux N.A30.32 plan in Noida. This configuration includes 1x A30 GPU, 8 vCPUs, and 32 GB RAM. Higher plans are available with more vCPUs, RAM, or 2x A30 GPUs.
The 1x A30 Linux plans include either 8 vCPUs with 32 GB RAM or 12 vCPUs with 48 GB RAM, along with one NVIDIA A30 24GB GPU. These plans are suitable for AI inference, development, testing, virtualization, and GPU-accelerated workloads.
Choose a 2x A30 instance when your workload needs more GPU capacity, higher parallel processing, or more compute resources. AceCloud lists 2x A30 Linux plans with 16 vCPUs / 64 GB RAM and 24 vCPUs / 96 GB RAM.
Yes. AceCloud provides monthly, 6-month, and 12-month pricing options. Additionally, you will get 5% off on 6-month plans and 10% off on 12-month plans for NVIDIA A30 24GB instances.
Yes. You can use AceCloud’s pricing calculator to estimate hourly and monthly costs based on your selected GPU, compute, storage, and networking resources. This is useful when your final setup includes resources beyond the base GPU instance.
NVIDIA A30 is designed for enterprise AI inference, AI training, high-performance computing, analytics, virtualization, and other GPU-accelerated workloads. NVIDIA describes A30 as a data center GPU built for mainstream enterprise servers.
NVIDIA A30 comes with 24GB HBM2 GPU memory and 933 GB/s memory bandwidth. This makes it suitable for memory-sensitive AI, analytics, and HPC workloads.
Yes. NVIDIA A30 supports Multi-Instance GPU, or MIG. It can be partitioned into smaller isolated GPU instances, such as 4 instances of 6GB, 2 instances of 12GB, or 1 full 24GB instance, depending on workload needs.
