Todd Mostak, Founder and CEO of GPU database startup MapD, presents data on the widening compute gap between data growth and CPU performance at Data Driven NYC.
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Mostak in 2017: GPUs will dominate computing over the next decade
“We're at an inflection point where the growth in data is outpacing the growth in compute, and I believe, I strongly believe, I'm a little biased, but, ah, that GPUs are set to kind of become a dominant force in compute over the coming decade. Ah, they already …”
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Mostak: MapD queries billions of records in milliseconds on a single server
“And that's why we can run queries over billions of records in milliseconds, even on a single server.”
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Mostak: Tableau data extracts fail on datasets exceeding 100 million rows
“Tableau extracts are great, but they kind of fall over, either when the extract gets over a hundred million rows, a few hundred million rows, or when you have, like, streaming data doing the system.”
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Mostak: GPUs deliver 100x speedups over CPUs for analytics workloads
“Using graphics cards to accelerate data warehouse and visual analytic workloads, literally getting hundred-x speed-ups over what you would get on a CPU solution.”
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Mostak: A single 2017 GPU server rivals a 2007 top-ten supercomputer
“In fact, you're basically getting a supercomputer in a box, something that would have been a top 10 supercomputer 10 years ago on a single server today.”
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Mostak: MapD scans GPU-cached data at up to six terabytes per second
“So we can actually, once the data's in GPU RAM, we can scan that data At rates approaching six terabytes a second.”