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One More Reason For Running Machine Learning Jobs In The Cloud: GPUs

Top public cloud vendors want you to store massive data sets in their platforms to run complex Machine Learning algorithms. Apart from offering affordable compute and storage services based on pay-as-you-go pricing model, they are also luring the customers by bringing the latest GPU technology to the cloud.

Why is the sudden rush in offering GPUs in the cloud? The answer is simple – It’s the rise of Machine Learning. Amazon, Google, IBM, and Microsoft want you to make their cloud the preferred platform for storing, processing, analyzing, and querying data.

Last week, IBM announced that its IaaS platform now supports the latest GPUs from NVIDIA – the Tesla P100. Combined with the CPUs from the bare metal servers, the new platform promises to deliver unmatched performance for processing and analyzing massive amounts of data. IBM is one of the first to offer the latest GPU technology from NVIDIA in the public cloud.

Back in 2010, Amazon announced the availability of EC2 Cluster GPU instance type that was based on NVIDIA Tesla M2050s. It was the first time that developers got access to GPUs in the cloud. AWS kept adding additional GPU types to its EC2 family. In 2013, Amazon announced G2 instances backed by NVIDIA GPU. The latest flavor of EC2 instances, which are available in three variations, are based on NVIDIA K80 GPUs. Customers can launch VMs that can have up to 16 GPUs and 192GiB of RAM.

Read the entire article at Forbes

Janakiram MSV is an analyst, advisor, and architect. Follow him on Twitter,  Facebook and LinkedIn.

Janakiram MSVOne More Reason For Running Machine Learning Jobs In The Cloud: GPUs