The fierce competition for supremacy in the machine learning chip market - take 2

In my earlier story, I outlined the chip market for machine learning systems and observations made by Deloitte about the direction this is going. To recap, the characteristics of graphics rendering and machine learning algorithms, namely the need to process thousands or millions of data points through an algorithm that uses simple floating point calculations, are similar enough that GPUs have become the preferred engine for AI research and implementation. The result has been phenomenal financial success for NVIDIA, the pioneer of GPU computing, but its success has stoked competition. As befits a dynamic, disruptive market like AI, competition is not all coming at NVIDIA from traditional sources in the processor market, namely Intel and AMD, but both innovative startups and incumbent cloud service providers looking to build a better AI mousetrap. NVIDIA developed and has cornered the market for AI-optimized GPUs, however recently rejuvenated AMD has joined the battle with the Radeon Instinct series.