NVIDIA A30 Tensor Core

NVIDIA A30 Tensor Core

NVIDIA A30 Tensor Core GPU: Powering tomorrow's AI and HPC workloads

NVIDIA A30 Tensor Core

Supercharge your data center with the NVIDIA A30 Tensor Core GPU. NVIDIA designed this world-class GPU to accelerate mainstream enterprise workloads. Experience unprecedented performance for AI inference, training, and high-performance computing (HPC) applications.

Key Features

  • 3x faster AI - The NVIDIA A30's 3rd Gen Tensor Cores deliver breakthrough performance for AI workloads. It allows you to train and deploy models faster than ever before. This translates to quicker time to insights and increased efficiency for your data center operations.
  • Accelerate workloads - Equipped with 24GB of HBM2 memory, the A30 offers exceptional bandwidth and capacity. It is ideal for handling large, complex datasets. This empowers you to consolidate workloads and maximise resource utilisation within your data center.
  • Silent powerhouse - The A30's passive cooling design eliminates the need for noisy fans, creating a quieter and more energy efficient data center environment. It delivers reduced operational costs and a more sustainable IT infrastructure.

Specifications

Architecture Ampere
GPU memory 24GB HBM2
Memory Bandwidth 933GB/s
Peak FP64 5.2 TF
Peak FP64 Tensor Core 10.3 TF
Peak FP32 10.3 TF
TF32 Tensor Core 82 TF || 165 TF with sparsity
BFLOAT 16 Tensor Core 165 TF || 330 TF with sparsity
Peak FP16 Tensor Core 165 TF || 330 TF with sparsity
Peak INT8 Tensor Core 330 TOPS || 661 TOPS with sparsity
Peak INT4 Tensor Core 661 TOPS || 1321 TOPS with sparsity
Media Engines 1 * optical flow accelerator (OFA)
1 * JPEC decoder (NVJPEG)
4 * video decoders (NVDEC)
Interconnect PCIe Gen4: 64GB/s
3rd Gen NVIDIA® NVLINK®
200GB/s**
**NVLink Bridge for up to two GPUs
Form Factor 2-slot, FH, FL
Max Thermal Design Power (TDP) 165W
Multi-Instance GPU (MIG) 4 MIGs @ 6GB each
2 MIGs @ 12GB each
1 MIG @ 24GB
Virtual GPU (vGPU) Software Support NVIDIA AI Enterprise
NVIDIA Virtual Compute Server