Loading...
You are here:  Home  >  Data Education  >  Big Data News, Articles, & Education  >  Big Data News  >  Current Article

ZeroStack Delivers GPU-as-a-Service via NVIDIA Hardware

By   /  October 2, 2018  /  No Comments

According to a new press release, “ZeroStack, creators of a self-driving cloud that lets users focus on their businesses, today announced that its Self-Driving Cloud Platform can now detect and provide selective end-user access of NVIDIA GPUs to deliver GPU-as-a-Service. This makes the ZeroStack platform the first solution to offer cloud-based, fine-grained access to GPU services. ZeroStack’s GPU-as-a-Service capability gives customers powerful features to automatically detect NVIDIA GPUs hosted on multiple physical servers and make them available within the ZeroStack environment. ZeroStack cloud administrators can then configure, scale, and allow fine-grained access control of GPU resources to end users. Users can enable GPU acceleration, deploy new machine learning and deep learning workloads with tools such as TensorFlow, Caffe, etc., and provide the applications with dedicated access to multiple GPUs for order-of-magnitude faster inference latency and user responsiveness.”

Kamesh Pemmaraju, vice president of product management at ZeroStack, commented, “Artificial Intelligence and machine learning applications are quickly becoming commonplace, and GPUs are essential for these solutions… By becoming the first to offer GPU-as-a-Service, one that is controlled by administrators, ZeroStack makes it easy to for end users to access GPU resources from within a simple yet powerful cloud environment.”

Read more at Business Wire.

Photo credit: ZeroStack

You might also like...

Data Governance and Data Stewardship Drive Successful Glossaries and Dictionaries

Read More →