What's new in Nvidia A100?

It also includes five new hardware JPEG decoder engines and new improved hardware for optical flow. For a deeper dive into the NVIDIA Ampere architecture, see NVIDIA Ampere Architecture In-Depth and the A100 white paper. At CVPR 2020, NVIDIA researchers are presenting 15 research papers.

Which is better A40 or A100?

Performance Cores: The A40 has a higher number of shading units (10,752 vs. 6,912), but both have a similar number of tensor cores (336 for A40 and 432 for A100), which are crucial for machine learning applications. Memory: The A40 comes with 48 GB of GDDR6 memory, while the A100 has 40 GB of HBM2e memory.

How many Tensor cores does A100 have?

A100 has four Tensor Cores per SM, which together deliver 1024 dense FP16/FP32 FMA operations per clock, a 2x increase in computation horsepower per SM compared to Volta and Turing. Key SM features are briefly highlighted here and described in detail later in this post: