Supermicro and Qumulo deliver a high-performance, distributed file system to meet the performance and capacity demands that public sector organizations need to store, manage and access sensitive file data on-prem and in the cloud.
Life Science and Bioinformatics organizations pursue their research objectives in myriad ways. However, they are all characterized by massive volumes of machine-generated file data pipelined into downstream processes for analysis. The need for efficient, high-performance processing of file-based data is at the heart of innovation and discovery in life sciences.
Supermicro’s Qumulo file storage solution bundle provides a modern infrastructure for data-driven media and entertainment organizations and meets the needs of today’s in-house and remote creative teams for post-production, animation and visual effects, games production, broadcast, and corporate video production.
Supermicro and MemVerge are working together to pioneer Big Memory Computing for a multi-cloud world. MemVerge® Memory Machine™ delivers software-defined, composable memory and intelligent memory service to bridge these gaps. As a software leader in the CXL ecosystem, MemVerge composable memory technology provisions, tiers, disaggregates, and pools heterogeneous memory to scale memory capacity and decrease memory cost.
Deploy a high-availability cache cluster for real-time applications with Red Hat® OpenShift & Redis® Enterprise Operator on a Supermicro X12 BigTwin® System
Delivering NVIDIA AI Enterprise and Red Hat Openshift – Supermicro NVIDIA-Certified Systems, with Intel Xeon Scalable Processors
Delivering NVIDIA AI Enterprise and Red Hat Openshift – Supermicro NVIDIA-Certified Systems, with AMD EPYC Processors
High-Density E1.S Server/Storage Solution: Supermicro® All Flash Petascale Server With KIOXIA XD6 Series SSDS
Optimized for MongoDB® and Other Applications Requiring High Performance at Very Low Latency and Ultra-Dense Storage Servers
Supermicro SuperBlade® Powered by AMD EPYC™ Processors Excel at Scaling Distributed AI and ML Training
GPU-accelerated SuperBlade servers are ideal for running converged AI/ML and HPC workloads, as evidenced by excellent Horovod AI/ML workload performance and the ability to scale training across multiple nodes.