Security News > 2021 > February > DeepCube’s suite of products drives enterprise adoption of deep learning

DeepCube announced the launch of a new suite of products and services to help drive enterprise adoption of deep learning, at scale, on intelligent edge devices and in data centers.

Now, DeepCube will offer solutions for neural network training and inference, allowing users to leverage DeepCube's technology to address challenges in their deep learning pipeline.

A new service offering will make available DeepCube's team of leading AI experts to support deep learning projects.

CubeAdvisor: an expert-level service offered to leverage DeepCube's wide-ranging ML experience, with guidance from some of the world's leading AI experts and PhDs. It helps customers design, optimize, and deploy deep learning models, ensuring that customers achieve the best performing model that fits their strict cost, performance, power, and latency requirements.

To trial the new suite of products, DeepCube utilized 2nd Gen AMD EPYC based cloud instances and the new DeepCube solutions to showcase high levels of inference performance on a multitude of popular neural networks, including ResNet-50, BERT-Large, and DLRM. "The offerings announced by DeepCube today are the culmination of decades of work and research by some of the world's leading experts in deep learning," said Michael Zimmerman, CEO at DeepCube.

"AMD worked with DeepCube to preview the new solutions on cloud instances using 2nd Gen AMD EPYC processors, and saw fantastic performance for deep learning workloads," said Kumaran Siva, corporate vice president, EPYC Cloud Business, AMD. "We believe that DeepCube's innovative CubeIQ and CubeEngine products, coupled with optimizations specific to current and future generation AMD EPYC CPUs, will set a new bar for performance and business metrics, such as inference throughput, latency, and performance/dollar."

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