Versatile compute acceleration for mainstream enterprise servers.NVIDIA A30TENSOR CORE

NVIDIA A30 Tensor Core GPU is the most versatile mainstream compute GPU for AI inference and mainstream enterprise workloads.

NVIDIA A30Advantages:

Innovations:

• NVIDIA ampere architecture
• Third-generation tensor cores
• Multi-instance gpu (mig)
• Next-generation Nvlink

Incredible Performance Across Workloads

A30 is part of the complete NVIDIA data center solution that incorporates building blocks across hardware, networking, software, libraries, and optimized AI models and applications from NGC™

01NVIDIA Ampere architecture

Whether using MIG to partition an A30 GPU into smaller instances or NVIDIA NVLink to connect multiple GPUs to speed larger workloads, A30 can readily handle diverse-sized acceleration needs, from the smallest job to the biggest multi-node workload. A30 versatility means IT managers can maximize the utility of every GPU in their data center with mainstream servers, around the clock.

02MULTI-INSTANCE GPU (MIG)

An A30 GPU can be partitioned into as many as four GPU instances, fully isolated at the hardware level with their own high-bandwidth memory, cache, and compute cores. MIG gives developers access to breakthrough acceleration for all their applications. And IT administrators can offer right-sized GPU acceleration for every job, optimizing utilization and expanding access to every user and application.

03Third-generation TENSOR cores

NVIDIA A30 delivers 165 teraFLOPS (TFLOPS) of TF32 deep learning performance. That’s 20X more AI training throughput and over 5X more inference performance compared to NVIDIA T4 Tensor Core GPU. For HPC, A30 delivers 10.3 TFLOPS of performance, nearly 30 percent more than NVIDIA V100 Tensor Core GPU.

04Next-generation NVLINK

NVIDIA NVLink in A30 delivers 2X higher throughput compared to the previous generation. Two A30 PCIe GPUs can be connected via an NVLink Bridge to deliver 330 TFLOPs of deep learning performance.