High performance computing, long the domain of research centers and academia, is increasingly becoming a part of mainstream IT infrastructure and being opened up to a broader range of enterprise workloads, and in recent years, that includes big data analytics and machine learning. …
At well over $150,000 per appliance, the Volta GPU based DGX appliances from Nvidia, which take aim at deep learning with framework integration and 8 Volta-accelerated nodes linked with NVlink, is set to appeal to the most bleeding edge of machine learning shops. …
There are a lot of different ways to skin the deep learning cat. …
Propping up a successful silicon startup is no simple feat, but venture-backed Wave Computing has managed to hold its own in the small but critical AI training chip market–so far. …
In the U.S. it is easy to focus on our native hyperscale companies (Google, Amazon, Facebook, etc.) …
In this fast-paced global economy, enhanced speed, productivity, and intelligence are more important than ever to success. …
In a properly working capitalist economy, innovative companies make big bets, help create new markets, vanquish competition or at least hold it at bay, and profit from all of the hard work, cleverness, luck, and deal making that comes with supplying a good or service to demanding customers. …
One of the luckiest coincidences in the past decade has been that the hybrid machines designed for traditional HPC simulation and modeling workloads. …
The golden grail of deep learning has two handles. On the one hand, developing and scaling systems that can train ever-growing model sizes is one concern. …
In the IT business, just like any other business, you have to try to sell what is on the truck, not what is planned to be coming out of the factories in the coming months and years. …
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