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" ... According to NVIDIA , its third-generation Tensor Cores accelerate diverse workloads and offer up to 6X Higher Out-of-the-Box performance Meanwhile, structural sparsity support delivers up to 2X more performance on top of A100's other inference performance gains. What's the Key takeaway for those that don't speak chip? NVIDIA is offering high performance that can be scaled up and down to support various types of computing. Additionally, Mellanox networking improves the ability to move data around in a smarter fashion. ... "
" ... As with other companies with whom I’ve recently talked, their machine learning (ML) uses a mix of deep learning and random forest, depending on data volumes and the sparsity of the data in a specific contract area. As should be expected, the bulk of the analysis is language based, and that includes term sets for different industries. ... "
" ... However, lack of access due to the sparsity of REI specialists is just half of the problem. The insurmountable cost of treatment is another major factor preventing many from seeking necessary fertility care. While I am not attempting to solve our health care costs issue, a change in the operating business model for infertility treatment can yield surprisingly positive results. For some, IVF is the only option, but for others — if treated early — the IVF procedure can be avoided, thus reducing the overall treatment burden and associated costs. ... "
" ... Shaping, chapter 5, is hit and miss. The focus is on how we shape human behavior, and the chapter is weak about how it can be applied to ML. Yet, in the middle, it has a good description of sparsity, how we can deal with sparse information to make more efficient inferences. Curiosity, the last chapter in the middle section, is also a bit too focused on humans, with too little about how the knowledge can be adapted to AI. One problem I had with it was on a link between the two that says, “An image-labeling system like Alex-Net might require hundreds of thousands of images, each of them labeled by humans. That’s quite clearly not how we acquire our own visual skills early in life.” The problem is that the author suddenly drops into supervised learning. The infants are seeing lots of things. They then are labeling some themselves and also getting reinforcement from other humans and their own actions to adjust labels and add new ones. Human learning isn’t dependent solely on labels, but it’s “clearly” part of our learning. ... "
" ... There was no mention of any support for sparsity optimizations for the MI100, which could theoretically double AI models' performance. There was also no mention of GPU sharing, along the lines of the NVIDIA Multi-GPU Instance capability of the A100. This feature may become especially important for cloud service providers. ... "