KernSafe > Products > Cloud-NFS > Small Business

KernSafe Cloud-NFS is a standard, high-performance NFS server designed specifically for Microsoft Windows environments. Utilizing highly parallel and concurrent I/O technology, it offers advanced functionality, enabling seamless export of any Windows directory to clients using NFSv3 TCP and RDMA protocols, ensuring exceptional performance. This innovative solution is compatible with a diverse range of clients, including Windows, Linux, VMWare ESX, and other platforms compliant with NFS standards.

Initial release in 2016, KernSafe Cloud-NFS has revolutionized the landscape as the world's first user-mode NFS server on Windows to support RDMA.

KernSafe Cloud-NFS is very easy to use and comes equipped with a built-in HTTP server and a user-friendly web-based management system. This intuitive interface empowers clients to effortlessly manage their storage systems from any device, including Windows, Linux, MacOS X, and even mobile devices.

Moreover, KernSafe Cloud-NFS offers GPU Direct capability, enabling direct communication between GPUs and the NFS server. This feature optimizes data transfer for GPU-intensive workloads, enhancing performance and efficiency in environments requiring accelerated data processing

Typical using of Cloud-NFS:

Virtualized Environments: Seamlessly export datastores to hypervisors such as VMWare, Windows Hyper-V, Linux KVM, and Citrix XenServer, facilitating efficient storage management and VM provisioning.

High-Performance Computing (HPC): Enable parallel file sharing in HPC clusters, accelerating data access and computation for scientific research, engineering simulations, and data analytics.

Media and Entertainment: Provide concurrent access to large media files and digital content across workstations and rendering nodes, streamlining collaborative workflows in film production, animation, and digital media creation.

Education and Research Institutions: Enable shared access to research datasets, educational resources, and collaborative projects, empowering researchers, students, and faculty to efficiently store, retrieve, and analyze data across diverse academic disciplines.

Content Delivery Networks (CDNs): Serve as backend storage for CDN providers, distributing and caching web content, streaming media, and software updates to global audiences with low latency and high reliability.

Cloud-Native Applications: Integrate with cloud-native architectures and containerized environments, providing scalable and resilient storage for microservices, container clusters, and cloud-native applications deployed on Kubernetes or Docker Swarm.

Data Analytics and Machine Learning: Support large-scale data analytics and machine learning workloads by providing high-throughput access to datasets for training, inference, and model deployment, accelerating insights and innovation.

File Sharing Solutions: Enable secure and efficient file sharing among users within organizations, allowing teams to collaborate on documents, presentations, and project files while maintaining control over access permissions and versioning.