November 14, 2017
Supercomputing 2017 – Cirrascale® Cloud Services, a premier provider of multi-GPU deep learning cloud solutions, today announced it will begin offering the AMD EPYC™ processor as part of its dedicated, multi-GPU deep learning cloud service offerings. The company plans to first offer the impressive processor in configurations requiring multi-GPU compute with high core count. In turn, customers can experience double digit performance gains for nearly half the price.
“In working with some of the industry’s leading deep learning organizations, our customers have begun looking for specialized cloud configurations requiring higher core per GPU ratios,” said Mike LaPan, vice president of marketing, Cirrascale Cloud Services. “We’re pleased to offer the AMD EPYC processor to power these deep learning GPU accelerated applications.”
Cirrascale Cloud Services offers a dedicated, bare-metal cloud service with the ability for customers to load their very own instances of popular deep learning frameworks, such as TensorFlow, PyTorch, Caffe 2, and others. AMD EPYC powers these solutions with up to 32 cores, 64 threads, 8 memory channels with up to 2TB of memory per socket, and 128 PCIe-3 lanes coupled with the industry’s first hardware-embedded x86 server security solution. Use of the new EPYC processor within the Cirrascale Cloud Services platform will drive greater scale and performance. In turn, this will deliver better performing deep learning analytics environments that can collect and analyze larger data sets much faster.
“We’re excited to be further extending our EPYC processor footprint to include cloud service providers such as Cirrascale,” said Scott…