MBUZZ designs and delivers the physical backbone behind serious AI initiatives.
Our core expertise lies in engineering and deploying high-performance, accelerated computing infrastructure built to support the most demanding AI workloads, from large-scale training and simulation to advanced data analysis. We ensure the underlying hardware is robust, scalable, and ready to power modern AI at enterprise and national scale.
We design and deploy high-density, multi-GPU servers and clusters, based on NVIDIA Reference Architecture like NVIDIA DGX RA for SuperPODs, BasePODs and NCP and highly customizable systems from Supermicro and ASUS, featuring the newest generation of NVIDIA B300, H200 and RTX GPUs.
We integrate NVIDIA InfiniBand and optimized Ethernet solutions to create a high-speed network that eliminates bottlenecks, ensuring data is fed to the GPUs instantly for efficient parallel processing.
We implement storage architectures from leaders like DDN, specifically engineered to manage the petabytes of unstructured data common in AI/ML datasets, guaranteeing high IOPS and sustained throughput.
Our specialized team manages the entire process from design, deployment, and maintenance of GPU clusters and AI labs, delivering ready-to-run AI research laboratories that minimize time-to-research for our clients.