SuperCloud Composer is a composable cloud management platform that provides a unified dashboard to administer software-defined data centers. It also monitors and manages the broad portfolio of multi-generation Supermicro servers and third-party systems through its data center lifecycle management feature set from a single unified console.
The Reliant Edge Computing platform is a pre-configured, hardened platform for the retail and hospitality industry that includes leading tools for virtualization, containerization, monitoring, security for sensitive data, and centralized controls to manage a scalable infrastructure supporting legacy and next generation applications, IoT, operating systems, and devices across thousands of geographically dispersed locations.
Distributed File Storage Deployment with Optimized Supermicro All-Flash NVMe Systems – Featuring WekaFS™ Software
To accelerate the process of obtaining insight from mountains of Big Data, workloads such as those of AI, Machine Learning, Deep Learning, and High-Performance Computing require a modern infrastructure with extreme performance in compute, storage, and networking resources. Supermicro has teamed with WEKAIO to create a solution that addresses these needs and can help you gain the insight that you need to gain a competitive advantage, deliver customer value, and grow your business.
With 11 PCI-E slots in a 2U form factor, Supermicro MAX IO systems utilizing the NVIDIA NGC docker platform offer a scalable, cost-effective and high-performance inferencing solution.
Supermicro is collaborating with T-Systems (Deutsche Telekom) on EdgAIR, an Edge Computing platform that delivers low latency for IoT applications at enterprise facilities.
AI is helping to solve some of the world’s most complex problems. Solving these enormous challenges require the computation of large amounts of data and highly optimized AI models running at scale. NVIDIA GPU Cloud (NGC) is the GPU-accelerated software hub for optimized AI and HPC. Supermicro’s NGC-Ready systems make it easy and efficient to run large workloads with a complete end-to-end NVIDIA Tensor Core GPU-accelerated hardware and software stack.