Infinite Compute Power for GPU Accelerated Deep Learning

NVIDIA invented the graphics processing unit (GPU) in 1999. To some, it seems counterintuitive that a chip originally designed to play 3D games has become the engine of today's AI revolution. But in fact the problem of computer graphics has features in common with many other applications, from computational fluid dynamics and medical imaging to computer vision and natural language processing. At a high level, the unifying factor is that these problems can be parallelised. Our chip might be called a'graphics' processor, but in fact it's an incredibly versatile parallel processing engine which is playing a pivotal role in democratising AI.