NVIDIA A30 TENSOR CORE GPU

The NVIDIA A30 Tensor Core GPU is a high-performance and versatile solution designed specifically to accelerate computing workloads in enterprise data centers. Built on NVIDIA’s advanced Ampere architecture, the A30 combines exceptional performance, energy efficiency, and flexibility, making it the ideal choice for AI inference, deep learning training, high-performance computing (HPC), and large-scale data analytics.

Optimized Design for Enterprise Servers

With a thermal design power (TDP) of only 165 watts and a standard PCIe form factor, the A30 GPU is optimized for deployment in mainstream enterprise servers. It delivers elastic scalability without compromising energy efficiency. Equipped with 24GB of high-bandwidth HBM2 memory at 933GB/s, it provides the speed and capacity required to handle complex AI models, large datasets, and demanding simulations with ease.

see category: Data center GPU

High-Performance AI Training

The A30 offers up to 3x higher throughput than the NVIDIA V100 and 6x higher than the T4 for deep learning training tasks. Thanks to Tensor Float 32 (TF32) precision and automatic mixed precision support, its performance can be boosted by up to 20x compared to previous-generation GPUs. Integrated technologies like NVIDIA NVLink, PCIe Gen4, and Magnum IO enable scalable AI training across thousands of GPUs, empowering enterprises to accelerate model development and deployment.

Advanced AI Inference Capabilities of A30 GPU

For AI inference workloads, the A30 supports a broad range of precision levels from FP64 to INT4. It delivers up to 3x higher throughput than the V100 and more than 3x the performance of the T4 for real-time conversational AI, image classification, and other inference tasks. Structural sparsity doubles inference performance, enabling efficient, large-scale AI deployments.

Breakthroughs in High-Performance Computing

In HPC applications, the A30 excels with FP64 Tensor Cores that deliver a major leap in double-precision computing performance. It offers up to 8x higher throughput than the T4, helping researchers solve complex scientific simulations faster than ever before. Multi-Instance GPU (MIG) technology securely partitions the GPU into multiple instances, allowing multiple users or workloads to share resources without compromising performance or quality of service.

Accelerated Data Analytics

Data scientists benefit from the  NVIDIA A30’s high memory bandwidth, NVLink scalability, and seamless integration with NVIDIA RAPIDS libraries, which speed up data preparation, visualization, and analytics. This accelerates data-driven insights and decision-making across enterprises, enhancing productivity and innovation.

Enterprise-Ready and Scalable

 NVIDIA A30 GPU is fully compatible with NVIDIA AI Enterprise, a comprehensive, cloud-native AI and data analytics suite, supporting hybrid cloud deployments and scalable AI workloads. It is available in NVIDIA-Certified Systems, combining GPU acceleration with high-speed networking for a secure, high-performance enterprise data center infrastructure.