GigaOm Reviews Multi-Cloud Object Storage and Data Mobility Systems
"Organizations that are adopting hybrid or multi-cloud should pay particular attention to how data is stored and accessed across different applications and infrastructures," writes GigaOm Analyst Enrico Signoretti in a just released GigaOm Market Landscape Report, "Multi-Cloud Object Storage and Data Mobility." The report looks at the challenges posed by multi-cloud storage and examines the tools needed to realize a winning multi-cloud storage strategy.
"Block, File and Object/Cloud. All of them have very peculiar characteristics which are important to understand all the challenges with data mobility and avoid potential lock-ins while providing the best options for users and applications," says Signoretti, naming the three best storage systems for a multi-cloud strategy. Signoretti also examines the maturity of categories, notes key considerations for using multi-cloud solutions and includes a vendor review.
"When it comes to multi-cloud, wherein a large number of applications and data are stored in different locations, there are several aspects that come into play, these include data security, data protection, data placement and compliance, performance and cost." – Enrico Signoretti




CloudJumper
ZeroStack, creators of a self-driving cloud that lets users focus on their businesses, today announced that administrators of its Self-Driving Cloud platform can provide single-click deployment of GPU resources and deep learning frameworks like TensorFlow, PyTorch, and MXNet, taking care of all the OS and CUDA library dependencies so users can focus on AI development. Furthermore, users can enable GPU acceleration with dedicated access to multiple GPU resources for an order-of-magnitude faster inference latency and user responsiveness. GPUs within hosts can be shared across users in a multi-tenant manner.