Power Efficient

NVIDIA A30

Mainstream data center GPU for mixed AI and HPC workloads. 24GB HBM2 memory with exceptional power efficiency at just 165W TDP for sustainable deployments.

Model Specifications

ArchitectureAmpere
VRAM24 GB HBM2
Memory Bandwidth933 GB/s
CUDA Cores3,584
Tensor Cores224 (3rd Gen)
FP16 Performance165 TFLOPS
Ampere
Architecture
24 GB HBM2
VRAM
933 GB/s
Memory Bandwidth
3,584
CUDA Cores
224 (3rd Gen)
Tensor Cores
165 TFLOPS
FP16 Performance
82 TFLOPS
TF32 Performance
Up to 4 instances
MIG Support
165W
TDP
Gen4 x16
PCIe
PCIe
Form Factor

Pricing Plans

Flexible pricing options to match your workload requirements.

On-Demand

Pay as you go with no commitment

₹90/hour
  • 1x NVIDIA A30 GPU
  • 12 vCPUs
  • 96 GB RAM
  • 250 GB NVMe SSD
  • No minimum commitment
  • Start/stop anytime
Most Popular

Reserved 1 Month

Save 15% with monthly commitment

₹38,250/month
  • 1x NVIDIA A30 GPU
  • 12 vCPUs
  • 96 GB RAM
  • 250 GB NVMe SSD
  • 15% discount
  • Priority support

Reserved 1 Year

Maximum savings with annual commitment

₹27,000/month
  • 1x NVIDIA A30 GPU
  • 12 vCPUs
  • 96 GB RAM
  • 250 GB NVMe SSD
  • 40% discount
  • Dedicated support
Key Features

Why Choose NVIDIA A30

Power Efficient

165W TDP delivers excellent performance-per-watt for sustainable deployments.

MIG Support

Partition into up to 4 isolated GPU instances for multi-tenant deployments.

HBM2 Memory

High-bandwidth memory for balanced AI and HPC workloads.

Cost Effective

Mainstream pricing for production inference and development workloads.

Use Cases

Use Cases

Mixed Workloads

Run AI inference and HPC applications on the same infrastructure.

Development & Testing

Cost-effective GPU for ML model development and experimentation.

Edge AI

Deploy AI models at the edge with efficient power consumption.

Multi-Tenant Inference

Partition with MIG for multiple concurrent inference workloads.

Ready to Deploy NVIDIA A30?

Mainstream GPU for mixed AI and HPC workloads.