Third-Generation NVIDIA Tensor Cores

• The third-generation Tensor Cores in NVIDIA A2 support integer math down to INT4 and floating-point math up to FP32 to deliver high AI training and inference performance. A2’s NVIDIA Ampere architecture also supports TF32 and NVIDIA’s automatic mixed precision (AMP) capabilities.

Second-Generation RT Cores

• The NVIDIA A2 GPU includes dedicated RT Cores for ray tracing and Tensor Cores for AI to power groundbreaking results at breakthrough speed. It delivers up to 2x the throughput over the previous generation and the ability to concurrently run ray tracing with either shading or denoising capabilities.

Structural Sparsity

• Modern AI networks are big and getting bigger, with millions to billions of parameters. Not all of these parameters are needed for accurate predictions and inference. A2 provides up to 2x higher compute performance for sparse models compared to previous-generation GPUs. This feature readily benefits AI inference and can be used to improve the performance of model training.

Hardened Root of Trust for Secure Deployments

• Providing security in edge deployments and end points is critical for enterprise business operations. The NVIDIA A2 GPU delivers secure boot through trusted code authentication and hardened rollback protections against malicious malware attacks, preventing operational losses and ensuring workload acceleration.

Superior Hardware Transcoding Performance

• Real-time performance is critical in IVA (Internet Video Analytics) at the edge, requiring the latest in hardware encode and decode capabilities. NVIDIA A2 GPUs use dedicated hardware to fully accelerate video decoding and encoding for the most popular codecs, including H.265, H.264, and VP9, as well as AV1 decode for real-time video processing.