ZeroStack, creators of a self-driving cloud that lets users focus on their businesses, has 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, the company said.
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.
ZeroStack´s Self-Driving Cloud platform automates cloud infrastructure, applications, and operations, enabling enterprises and MSPs to focus on services that accelerate their businesses. With ZeroStack, enterprises and MSPs simplify operations, reduce costs, and accelerate IT by 10X over virtualized solutions while maintaining full IT control. For more information, visit http://www.zerostack.com or follow on Twitter @ZeroStackInc.